[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-m5-max-mlx-stack-doubles-local-llm-speed-vs-cloud-summary":3,"summaries-facets-categories":255,"summary-related-m5-max-mlx-stack-doubles-local-llm-speed-vs-cloud-summary":4661},{"id":4,"title":5,"ai":6,"body":13,"categories":191,"created_at":192,"date_modified":192,"description":179,"extension":193,"faq":192,"featured":194,"kicker_label":192,"meta":195,"navigation":236,"path":237,"published_at":238,"question":192,"scraped_at":239,"seo":240,"sitemap":241,"source_id":242,"source_name":243,"source_type":244,"source_url":245,"stem":246,"tags":247,"thumbnail_url":192,"tldr":252,"tweet":192,"unknown_tags":253,"__hash__":254},"summaries\u002Fsummaries\u002Fm5-max-mlx-stack-doubles-local-llm-speed-vs-cloud-summary.md","M5 Max MLX Stack Doubles Local LLM Speed vs Cloud",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","x-ai\u002Fgrok-4.1-fast",9421,2961,15247,0.00307385,{"type":14,"value":15,"toc":178},"minimark",[16,21,25,28,41,44,47,51,54,57,67,75,78,81,85,88,91,94,105,108,111,115,118,121,124,127,131,134,137,140,144,147,150,155],[17,18,20],"h2",{"id":19},"hardware-leap-m5-max-delivers-15-50-wall-clock-gains-over-m4-max","Hardware Leap: M5 Max Delivers 15-50% Wall Clock Gains Over M4 Max",[22,23,24],"p",{},"The core opportunity was reducing dependency on unreliable cloud APIs like Claude and OpenAI, which failed mid-recording. IndyDevDan unboxed a fully specced M5 Max MacBook Pro (128GB RAM) against an M4 Max equivalent, benchmarking real workloads to prove local inference viability. Decision: Prioritize Apple Silicon's unified memory and GPU neural accelerators for private, zero-cost runs.",[22,26,27],{},"Key metrics from cold\u002Fwarm prompts and live benchmarks:",[29,30,31,35,38],"ul",{},[32,33,34],"li",{},"M5 Max prefill\u002Fdecode speeds consistently higher across models.",[32,36,37],{},"Wall clock (end-to-end time) 15-50% faster on M5, with quieter fans and lower thermal load.",[32,39,40],{},"Peak RAM: Gemma 4 MLX fits in 16GB; full runs peak at 42-55GB on 128GB systems.",[22,42,43],{},"Tradeoff: Gains shine on simple prompts but scale with hardware limits—future M5 Ultra or M6 with 500GB RAM could dominate more.",[22,45,46],{},"\"The M5 is about 15 to 50% faster than the M4, which is a pretty massive jump.\" (IndyDevDan, highlighting wall clock improvements after first benchmark, emphasizing real-world usability over raw specs.)",[17,48,50],{"id":49},"mlx-vs-gguf-2x-performance-edge-makes-gguf-obsolete-on-apple-silicon","MLX vs GGUF: 2x Performance Edge Makes GGUF Obsolete on Apple Silicon",[22,52,53],{},"Problem: Engineers overlook MLX (Apple's ML framework) for GGUF (Ollama standard), leaving speed on the table. Options evaluated: GGUF (universal but slower) vs MLX (Apple-optimized with Nvidia NVFP4 quantization).",[22,55,56],{},"Decision: Always use MLX on Apple Silicon—nearly double prefill (550 t\u002Fs Gemma GGUF vs MLX variants) and decode (118 t\u002Fs MLX Qwen\u002FGemma vs 60 t\u002Fs GGUF Qwen). Why? MLX leverages mixture-of-experts and NVFP4 for efficiency; GGUF lacks hardware-specific tuning.",[22,58,59,60,66],{},"Benchmarks via live-bench tool (",[61,62,63],"a",{"href":63,"rel":64},"https:\u002F\u002Fgithub.com\u002Fdisler\u002Flive-bench",[65],"nofollow","):",[29,68,69,72],{},[32,70,71],{},"Simple prompts (e.g., \"explain hash table\"): MLX Qwen 118 t\u002Fs decode, Gemma MLX 100+ t\u002Fs.",[32,73,74],{},"Minimum viable: >30 t\u002Fs usable; \u003C20 t\u002Fs \"dead zone.\"",[22,76,77],{},"Tradeoffs: MLX prefill slower on tiny prompts (less relevant for agents); locked to Apple. GGUF more portable but halves speed—\"If you're running GGUF on Apple Silicon in 2026, you're leaving 2x performance on the table.\"",[22,79,80],{},"\"MLX smokes the GGUF format. Not by a little. By a LOT. 118 tokens per second vs 60.\" (IndyDevDan, post first benchmark, calling out the format gap as the video's controversial finding, urging switch for production local stacks.)",[17,82,84],{"id":83},"model-showdown-gemma-4-edges-qwen-35-in-speed-and-density","Model Showdown: Gemma 4 Edges Qwen 3.5 in Speed and Density",[22,86,87],{},"Compared Gemma 4 (Google, US-open) vs Qwen 3.5 (Alibaba, 35B MoE). Both in MLX\u002FNVFP4.",[22,89,90],{},"Decision: Gemma 4 wins for packed efficiency (max intelligence\u002Fparameter, 16GB footprint) and prefill speed; Qwen competitive but slower decode. Why? Gemma's architecture prioritizes throughput; both excel over cloud for privacy\u002Fspeed.",[22,92,93],{},"Metrics:",[29,95,96,99,102],{},[32,97,98],{},"Prefill: Gemma GGUF\u002FMLX ~550 t\u002Fs > Qwen.",[32,100,101],{},"Decode: Both MLX ~100-118 t\u002Fs.",[32,103,104],{},"Wall time: Gemma blitzes simple tasks.",[22,106,107],{},"Tradeoff: Gemma US-origin appeals politically, but no quality gap—choose by workload. \"Google actually cooked here.\"",[22,109,110],{},"\"Gemma 4 is an incredibly packed model... maximizing intelligence per parameter.\" (IndyDevDan, praising post-benchmark, noting US competitive edge without discriminating origins.)",[17,112,114],{"id":113},"context-scaling-cliff-local-hits-wall-past-16k-tokens","Context Scaling Cliff: Local Hits Wall Past 16K Tokens",[22,116,117],{},"Opportunity: Agents need long contexts (graph walks benchmark: BFS on scaling graphs, 200-32K tokens).",[22,119,120],{},"Findings: Prefill dominates time as prompts grow; M5\u002FMLX holds ~117 t\u002Fs decode but accuracy drops (e.g., errors at 8K vs cloud's 80% at 1M). Wall clock balloons—32K prompts fully tax GPUs (100% util, fans on).",[22,122,123],{},"Decision: Limit local to \u003C16K for speed; use cloud hybrids for massive context. Why? KV cache\u002FRAM constraints; innovations needed.",[22,125,126],{},"\"The context window cliff: why local inference falls off HARD past 16K tokens.\" (IndyDevDan, from intro, warning on overlooked scaling pain in agent pipelines.)",[17,128,130],{"id":129},"agentic-coding-reality-pi-agent-proves-local-viability-with-caveats","Agentic Coding Reality: Pi Agent Proves Local Viability with Caveats",[22,132,133],{},"Tested Pi coding agent (pi.dev) on full workflows. Decision: Local micro-agents win for engineering\u002Fpersonal tasks (privacy, zero latency\u002FAPI bills). Why? Handles coding despite context limits; beats cloud downtime.",[22,135,136],{},"Results: M5\u002FMLX succeeds on agentic tasks (e.g., rate limiter design), but non-deterministic—varies by prompt complexity.",[22,138,139],{},"Tradeoff: Full agents need context hacks; ideal for \"task tier\" sub-agents. \"Local agents actually do agentic coding? (Yes. With caveats.)\"",[17,141,143],{"id":142},"future-proofing-local-first-for-costcontrol-as-tipping-point-nears","Future-Proofing: Local-First for Cost\u002FControl as Tipping Point Nears",[22,145,146],{},"Big picture: Cloud pricing\u002Fdeprecation risks vs local ownership. Thesis: Micro-agents on-device for 80% workloads; benchmark your hardware now.",[22,148,149],{},"\"Every time Claude goes down... you're getting reminded who actually owns your stack. Spoiler: it's not you.\" (IndyDevDan, opening rant, framing local as rebellion against API racket amid live outage.)",[151,152,154],"h3",{"id":153},"key-takeaways","Key Takeaways",[29,156,157,160,163,166,169,172,175],{},[32,158,159],{},"Switch to MLX models on Apple Silicon for 2x speed over GGUF—118 t\u002Fs decode benchmark.",[32,161,162],{},"M5 Max yields 15-50% wall clock wins vs M4; monitor RAM (42-55GB peaks).",[32,164,165],{},"Favor Gemma 4 MLX for density\u002Fspeed; >30 t\u002Fs minimum for usable local inference.",[32,167,168],{},"Cap contexts at 16K to avoid cliffs; hybrid cloud for longer.",[32,170,171],{},"Build micro-agents with Pi-like tools for private coding—test via live-bench.",[32,173,174],{},"Benchmark your stack: Prep for M5 Ultra\u002FM6 obliterating APIs.",[32,176,177],{},"Ditch cloud for tasks valuing privacy\u002Fspeed over massive context.",{"title":179,"searchDepth":180,"depth":180,"links":181},"",2,[182,183,184,185,186,187],{"id":19,"depth":180,"text":20},{"id":49,"depth":180,"text":50},{"id":83,"depth":180,"text":84},{"id":113,"depth":180,"text":114},{"id":129,"depth":180,"text":130},{"id":142,"depth":180,"text":143,"children":188},[189],{"id":153,"depth":190,"text":154},3,[],null,"md",false,{"content_references":196,"triage":232},[197,201,205,209,213,216,219,222,225,228],{"type":198,"title":199,"url":63,"context":200},"tool","live-bench","mentioned",{"type":202,"title":203,"url":204,"context":200},"other","Tactical Agentic Coding","https:\u002F\u002Fagenticengineer.com\u002Ftactical-agentic-coding?y=00Y-p62sk0s",{"type":202,"title":206,"author":207,"url":208,"context":200},"Introducing NVFP4 for Efficient and Accurate Low-Precision Inference","Nvidia","https:\u002F\u002Fdeveloper.nvidia.com\u002Fblog\u002Fintroducing-nvfp4-for-efficient-and-accurate-low-precision-inference\u002F",{"type":210,"title":211,"url":212,"context":200},"paper","Exploring LLMs with MLX on Apple M5","https:\u002F\u002Fmachinelearning.apple.com\u002Fresearch\u002Fexploring-llms-mlx-m5",{"type":198,"title":214,"url":215,"context":200},"mlx-lm","https:\u002F\u002Fgithub.com\u002Fml-explore\u002Fmlx-lm",{"type":198,"title":217,"url":218,"context":200},"Ollama Gemma4 Model","https:\u002F\u002Follama.com\u002Flibrary\u002Fgemma4",{"type":202,"title":220,"url":221,"context":200},"Ollama MLX Blog","https:\u002F\u002Follama.com\u002Fblog\u002Fmlx",{"type":198,"title":223,"url":224,"context":200},"Pi coding agent","http:\u002F\u002Fpi.dev",{"type":198,"title":226,"url":227,"context":200},"Gemma-4-26b-a4b-it-nvfp4","https:\u002F\u002Fhuggingface.co\u002Fmlx-community\u002Fgemma-4-26b-a4b-it-nvfp4",{"type":202,"title":229,"author":230,"url":231,"context":200},"Secure LLMs","Vitalik Buterin","https:\u002F\u002Fvitalik.eth.limo\u002Fgeneral\u002F2026\u002F04\u002F02\u002Fsecure_llms.html",{"relevance":233,"novelty":190,"quality":233,"actionability":233,"composite":234,"reasoning":235},4,3.8,"Category: AI & LLMs. The article provides a detailed comparison of local versus cloud-based LLM performance, addressing a specific pain point for developers regarding the efficiency of AI tools. It offers actionable insights on using Apple's MLX framework for improved performance, which is directly applicable to product builders.",true,"\u002Fsummaries\u002Fm5-max-mlx-stack-doubles-local-llm-speed-vs-cloud-summary","2026-04-20 13:00:00","2026-04-21 15:14:05",{"title":5,"description":179},{"loc":237},"d52f2d329666dc18","IndyDevDan","article","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=00Y-p62sk0s","summaries\u002Fm5-max-mlx-stack-doubles-local-llm-speed-vs-cloud-summary",[248,249,250,251],"llm","ai-tools","agents","ai-automation","Apple M5 Max with MLX-optimized Gemma 4 and Qwen 3.5 hits 118 tokens\u002Fsec vs GGUF's 60, 15-50% faster than M4 Max, exposing cloud APIs as overpriced for many workloads.",[251],"e2uU0nQhd7X76-7FN6eQy9r8FmEF4OOXV9u7_5wfo7I",[256,259,261,264,266,269,272,275,278,280,282,284,286,288,290,292,295,297,299,301,303,305,307,310,312,314,316,318,320,322,324,326,328,330,332,334,336,338,340,342,344,346,348,350,352,355,357,359,361,363,365,367,369,371,373,375,377,379,381,383,385,387,389,391,393,395,397,399,401,403,405,407,409,411,413,415,417,419,421,423,425,427,429,431,433,435,437,439,441,443,445,447,449,451,453,455,457,459,461,463,465,467,469,471,473,475,477,479,481,483,485,487,489,491,493,495,497,499,501,503,505,507,509,511,513,515,517,519,521,523,525,527,529,531,533,535,537,539,541,543,545,547,549,551,553,555,557,559,561,563,565,567,569,571,573,575,577,579,581,583,585,587,589,591,593,595,597,599,601,603,605,607,609,611,613,615,617,620,622,624,626,628,630,632,634,636,638,640,642,644,646,648,650,652,654,656,658,660,662,664,666,668,670,672,674,676,678,680,682,684,686,688,690,692,694,696,698,700,702,704,707,709,711,713,715,717,719,721,723,725,727,729,731,733,735,737,739,741,743,745,747,749,751,753,755,757,759,761,763,765,767,769,771,773,775,777,779,781,783,785,787,789,791,793,795,797,799,801,803,805,807,809,811,813,815,817,819,821,823,825,827,829,831,833,835,837,839,841,843,845,847,849,851,853,855,857,859,861,863,865,867,869,871,873,875,877,879,881,883,885,887,889,891,893,895,897,899,901,903,905,907,909,911,913,915,917,919,921,923,925,927,929,931,933,935,937,939,941,943,945,947,949,951,953,955,957,959,961,963,965,967,969,971,973,975,977,979,981,983,985,987,989,991,993,995,997,999,1001,1003,1005,1007,1009,1011,1013,1015,1017,1019,1021,1023,1025,1027,1029,1031,1033,1035,1037,1039,1041,1043,1045,1047,1049,1051,1053,1055,1057,1059,1061,1063,1065,1067,1069,1071,1073,1075,1077,1079,1081,1083,1085,1087,1089,1091,1093,1095,1097,1099,1101,1103,1105,1107,1109,1111,1113,1115,1117,1119,1121,1123,1125,1127,1129,1131,1133,1135,1137,1139,1141,1143,1145,1147,1149,1151,1153,1155,1157,1159,1161,1163,1165,1167,1169,1171,1173,1175,1177,1179,1181,1183,1185,1187,1189,1191,1193,1195,1197,1199,1201,1203,1205,1207,1209,1211,1213,1215,1217,1219,1221,1223,1225,1227,1229,1231,1233,1235,1237,1239,1241,1243,1245,1247,1249,1251,1253,1255,1257,1259,1261,1263,1265,1267,1269,1271,1273,1275,1277,1279,1281,1283,1285,1287,1289,1291,1293,1295,1297,1299,1301,1303,1305,1307,1309,1311,1313,1315,1317,1319,1321,1323,1325,1327,1329,1331,1333,1335,1337,1339,1341,1343,1345,1347,1349,1351,1353,1355,1357,1359,1361,1363,1365,1367,1369,1371,1373,1375,1377,1379,1381,1383,1385,1387,1389,1391,1393,1395,1397,1399,1401,1403,1405,1407,1409,1411,1413,1415,1417,1419,1421,1423,1425,1427,1429,1431,1433,1435,1437,1439,1441,1443,1445,1447,1449,1451,1453,1455,1457,1459,1461,1463,1465,1467,1469,1471,1473,1475,1477,1479,1481,1483,1485,1487,1489,1491,1493,1495,1497,1499,1501,1503,1505,1507,1509,1511,1513,1515,1517,1519,1521,1523,1525,1527,1529,1531,1533,1535,1537,1539,1541,1543,1545,1547,1549,1551,1553,1555,1557,1559,1561,1563,1565,1567,1569,1571,1573,1575,1577,1579,1581,1583,1585,1587,1589,1591,1593,1595,1597,1599,1601,1603,1605,1607,1609,1611,1613,1615,1617,1619,1621,1623,1625,1627,1629,1631,1633,1635,1637,1639,1641,1643,1645,1647,1649,1651,1653,1655,1657,1659,1661,1663,1665,1667,1669,1671,1673,1675,1677,1679,1681,1683,1685,1687,1689,1691,1693,1695,1697,1699,1701,1703,1705,1707,1709,1711,1713,1715,1717,1719,1721,1723,1725,1727,1729,1731,1733,1735,1737,1739,1741,1743,1745,1747,1749,1751,1753,1755,1757,1759,1761,1763,1765,1767,1769,1771,1773,1775,1777,1779,1781,1783,1785,1787,1789,1791,1793,1795,1797,1799,1801,1803,1805,1807,1809,1811,1813,1815,1817,1819,1821,1823,1825,1827,1829,1831,1833,1835,1837,1839,1841,1843,1845,1847,1849,1851,1853,1855,1857,1859,1861,1863,1865,1867,1869,1871,1873,1875,1877,1879,1881,1883,1885,1887,1889,1891,1893,1895,1897,1899,1901,1903,1905,1907,1909,1911,1913,1915,1917,1919,1921,1923,1925,1927,1929,1931,1933,1935,1937,1939,1941,1943,1945,1947,1949,1951,1953,1955,1957,1959,1961,1963,1965,1967,1969,1971,1973,1975,1977,1979,1981,1983,1985,1987,1989,1991,1993,1995,1997,1999,2001,2003,2005,2007,2009,2011,2013,2015,2017,2019,2021,2023,2025,2027,2029,2031,2033,2035,2037,2039,2041,2043,2045,2047,2049,2051,2053,2055,2057,2059,2061,2063,2065,2067,2069,2071,2073,2075,2077,2079,2081,2083,2085,2087,2089,2091,2093,2095,2097,2099,2101,2103,2105,2107,2109,2111,2113,2115,2117,2119,2121,2123,2125,2127,2129,2131,2133,2135,2137,2139,2141,2143,2145,2147,2149,2151,2153,2155,2157,2159,2161,2163,2165,2167,2169,2171,2173,2175,2177,2179,2181,2183,2185,2187,2189,2191,2193,2195,2197,2199,2201,2203,2205,2207,2209,2211,2213,2215,2217,2219,2221,2223,2225,2227,2229,2231,2233,2235,2237,2239,2241,2243,2245,2247,2249,2251,2253,2255,2257,2259,2261,2263,2265,2267,2269,2271,2273,2275,2277,2279,2281,2283,2285,2287,2289,2291,2293,2295,2297,2299,2301,2303,2305,2307,2309,2311,2313,2315,2317,2319,2321,2323,2325,2327,2329,2331,2333,2335,2337,2339,2341,2343,2345,2347,2349,2351,2353,2355,2357,2359,2361,2363,2365,2367,2369,2371,2373,2375,2377,2379,2381,2383,2385,2387,2389,2391,2393,2395,2397,2399,2401,2403,2405,2407,2409,2411,2413,2415,2417,2419,2421,2423,2425,2427,2429,2431,2433,2435,2437,2439,2441,2443,2445,2447,2449,2451,2453,2455,2457,2459,2461,2463,2465,2467,2469,2471,2473,2475,2477,2479,2481,2483,2485,2487,2489,2491,2493,2495,2497,2499,2501,2503,2505,2507,2509,2511,2513,2515,2517,2519,2521,2523,2525,2527,2529,2531,2533,2535,2537,2539,2541,2543,2545,2547,2549,2551,2553,2555,2557,2559,2561,2563,2565,2567,2569,2571,2573,2575,2577,2579,2581,2583,2585,2587,2589,2591,2593,2595,2597,2599,2601,2603,2605,2607,2609,2611,2613,2615,2617,2619,2621,2623,2625,2627,2629,2631,2633,2635,2637,2639,2641,2643,2645,2647,2649,2651,2653,2655,2657,2659,2661,2663,2665,2667,2669,2671,2673,2675,2677,2679,2681,2683,2685,2687,2689,2691,2693,2695,2697,2699,2701,2703,2705,2707,2709,2711,2713,2715,2717,2719,2721,2723,2725,2727,2729,2731,2733,2735,2737,2739,2741,2743,2745,2747,2749,2751,2753,2755,2757,2759,2761,2763,2765,2767,2769,2771,2773,2775,2777,2779,2781,2783,2785,2787,2789,2791,2793,2795,2797,2799,2801,2803,2805,2807,2809,2811,2813,2815,2817,2819,2821,2823,2825,2827,2829,2831,2833,2835,2837,2839,2841,2843,2845,2847,2849,2851,2853,2855,2857,2859,2861,2863,2865,2867,2869,2871,2873,2875,2877,2879,2881,2883,2885,2887,2889,2891,2893,2895,2897,2899,2901,2903,2905,2907,2909,2911,2913,2915,2917,2919,2921,2923,2925,2927,2929,2931,2933,2935,2937,2939,2941,2943,2945,2947,2949,2951,2953,2955,2957,2959,2961,2963,2965,2967,2969,2971,2973,2975,2977,2979,2981,2983,2985,2987,2989,2991,2993,2995,2997,2999,3001,3003,3005,3007,3009,3011,3013,3015,3017,3019,3021,3023,3025,3027,3029,3031,3033,3035,3037,3039,3041,3043,3045,3047,3049,3051,3053,3055,3057,3059,3061,3063,3065,3067,3069,3071,3073,3075,3077,3079,3081,3083,3085,3087,3089,3091,3093,3095,3097,3099,3101,3103,3105,3107,3109,3111,3113,3115,3117,3119,3121,3123,3125,3127,3129,3131,3133,3135,3137,3139,3141,3143,3145,3147,3149,3151,3153,3155,3157,3159,3161,3163,3165,3167,3169,3171,3173,3175,3177,3179,3181,3183,3185,3187,3189,3191,3193,3195,3197,3199,3201,3203,3205,3207,3209,3211,3213,3215,3217,3219,3221,3223,3225,3227,3229,3231,3233,3235,3237,3239,3241,3243,3245,3247,3249,3251,3253,3255,3257,3259,3261,3263,3265,3267,3269,3271,3273,3275,3277,3279,3281,3283,3285,3287,3289,3291,3293,3295,3297,3299,3301,3303,3305,3307,3309,3311,3313,3315,3317,3319,3321,3323,3325,3327,3329,3331,3333,3335,3337,3339,3341,3343,3345,3347,3349,3351,3353,3355,3357,3359,3361,3363,3365,3367,3369,3371,3373,3375,3377,3379,3381,3383,3385,3387,3389,3391,3393,3395,3397,3399,3401,3403,3405,3407,3409,3411,3413,3415,3417,3419,3421,3423,3425,3427,3429,3431,3433,3435,3437,3439,3441,3443,3445,3447,3449,3451,3453,3455,3457,3459,3461,3463,3465,3467,3469,3471,3473,3475,3477,3479,3481,3483,3485,3487,3489,3491,3493,3495,3497,3499,3501,3503,3505,3507,3509,3511,3513,3515,3517,3519,3521,3523,3525,3527,3529,3531,3533,3535,3537,3539,3541,3543,3545,3547,3549,3551,3553,3555,3557,3559,3561,3563,3565,3567,3569,3571,3573,3575,3577,3579,3581,3583,3585,3587,3589,3591,3593,3595,3597,3599,3601,3603,3605,3607,3609,3611,3613,3615,3617,3619,3621,3623,3625,3627,3629,3631,3633,3635,3637,3639,3641,3643,3645,3647,3649,3651,3653,3655,3657,3659,3661,3663,3665,3667,3669,3671,3673,3675,3677,3679,3681,3683,3685,3687,3689,3691,3693,3695,3697,3699,3701,3703,3705,3707,3709,3711,3713,3715,3717,3719,3721,3723,3725,3727,3729,3731,3733,3735,3737,3739,3741,3743,3745,3747,3749,3751,3753,3755,3757,3759,3761,3763,3765,3767,3769,3771,3773,3775,3777,3779,3781,3783,3785,3787,3789,3791,3793,3795,3797,3799,3801,3803,3805,3807,3809,3811,3813,3815,3817,3819,3821,3823,3825,3827,3829,3831,3833,3835,3837,3839,3841,3843,3845,3847,3849,3851,3853,3855,3857,3859,3861,3863,3865,3867,3869,3871,3873,3875,3877,3879,3881,3883,3885,3887,3889,3891,3893,3895,3897,3899,3901,3903,3905,3907,3909,3911,3913,3915,3917,3919,3921,3923,3925,3927,3929,3931,3933,3935,3937,3939,3941,3943,3945,3947,3949,3951,3953,3955,3957,3959,3961,3963,3965,3967,3969,3971,3973,3975,3977,3979,3981,3983,3985,3987,3989,3991,3993,3995,3997,3999,4001,4003,4005,4007,4009,4011,4013,4015,4017,4019,4021,4023,4025,4027,4029,4031,4033,4035,4037,4039,4041,4043,4045,4047,4049,4051,4053,4055,4057,4059,4061,4063,4065,4067,4069,4071,4073,4075,4077,4079,4081,4083,4085,4087,4089,4091,4093,4095,4097,4099,4101,4103,4105,4107,4109,4111,4113,4115,4117,4119,4121,4123,4125,4127,4129,4131,4133,4135,4137,4139,4141,4143,4145,4147,4149,4151,4153,4155,4157,4159,4161,4163,4165,4167,4169,4171,4173,4175,4177,4179,4181,4183,4185,4187,4189,4191,4193,4195,4197,4199,4201,4203,4205,4207,4209,4211,4213,4215,4217,4219,4221,4223,4225,4227,4229,4231,4233,4235,4237,4239,4241,4243,4245,4247,4249,4251,4253,4255,4257,4259,4261,4263,4265,4267,4269,4271,4273,4275,4277,4279,4281,4283,4285,4287,4289,4291,4293,4295,4297,4299,4301,4303,4305,4307,4309,4311,4313,4315,4317,4319,4321,4323,4325,4327,4329,4331,4333,4335,4337,4339,4341,4343,4345,4347,4349,4351,4353,4355,4357,4359,4361,4363,4365,4367,4369,4371,4373,4375,4377,4379,4381,4383,4385,4387,4389,4391,4393,4395,4397,4399,4401,4403,4405,4407,4409,4411,4413,4415,4417,4419,4421,4423,4425,4427,4429,4431,4433,4435,4437,4439,4441,4443,4445,4447,4449,4451,4453,4455,4457,4459,4461,4463,4465,4467,4469,4471,4473,4475,4477,4479,4481,4483,4485,4487,4489,4491,4493,4495,4497,4499,4501,4503,4505,4507,4509,4511,4513,4515,4517,4519,4521,4523,4525,4527,4529,4531,4533,4535,4537,4539,4541,4543,4545,4547,4549,4551,4553,4555,4557,4559,4561,4563,4565,4567,4569,4571,4573,4575,4577,4579,4581,4583,4585,4587,4589,4591,4593,4595,4597,4599,4601,4603,4605,4607,4609,4611,4613,4615,4617,4619,4621,4623,4625,4627,4629,4631,4633,4635,4637,4639,4641,4643,4645,4647,4649,4651,4653,4655,4657,4659],{"categories":257},[258],"Business & SaaS",{"categories":260},[258],{"categories":262},[263],"AI News & Trends",{"categories":265},[],{"categories":267},[268],"AI Automation",{"categories":270},[271],"Marketing & Growth",{"categories":273},[274],"Design & Frontend",{"categories":276},[277],"Software Engineering",{"categories":279},[268],{"categories":281},[],{"categories":283},[274],{"categories":285},[274],{"categories":287},[268],{"categories":289},[274],{"categories":291},[274],{"categories":293},[294],"AI & LLMs",{"categories":296},[274],{"categories":298},[274],{"categories":300},[],{"categories":302},[274],{"categories":304},[274],{"categories":306},[294],{"categories":308},[309],"Developer Productivity",{"categories":311},[294],{"categories":313},[294],{"categories":315},[294],{"categories":317},[263],{"categories":319},[294],{"categories":321},[268],{"categories":323},[258],{"categories":325},[263],{"categories":327},[271],{"categories":329},[],{"categories":331},[],{"categories":333},[268],{"categories":335},[268],{"categories":337},[268],{"categories":339},[271],{"categories":341},[294],{"categories":343},[309],{"categories":345},[263],{"categories":347},[],{"categories":349},[],{"categories":351},[],{"categories":353},[354],"Data Science & Visualization",{"categories":356},[],{"categories":358},[268],{"categories":360},[277],{"categories":362},[268],{"categories":364},[268],{"categories":366},[294],{"categories":368},[271],{"categories":370},[268],{"categories":372},[],{"categories":374},[],{"categories":376},[],{"categories":378},[274],{"categories":380},[274],{"categories":382},[268],{"categories":384},[271],{"categories":386},[309],{"categories":388},[274],{"categories":390},[294],{"categories":392},[277],{"categories":394},[294],{"categories":396},[],{"categories":398},[268],{"categories":400},[294],{"categories":402},[309],{"categories":404},[309],{"categories":406},[],{"categories":408},[271],{"categories":410},[258],{"categories":412},[294],{"categories":414},[258],{"categories":416},[258],{"categories":418},[268],{"categories":420},[271],{"categories":422},[268],{"categories":424},[258],{"categories":426},[268],{"categories":428},[274],{"categories":430},[294],{"categories":432},[274],{"categories":434},[294],{"categories":436},[258],{"categories":438},[294],{"categories":440},[271],{"categories":442},[],{"categories":444},[294],{"categories":446},[258],{"categories":448},[],{"categories":450},[263],{"categories":452},[277],{"categories":454},[],{"categories":456},[294],{"categories":458},[274],{"categories":460},[294],{"categories":462},[274],{"categories":464},[],{"categories":466},[268],{"categories":468},[],{"categories":470},[],{"categories":472},[],{"categories":474},[294],{"categories":476},[],{"categories":478},[294],{"categories":480},[294],{"categories":482},[274],{"categories":484},[294],{"categories":486},[309],{"categories":488},[268],{"categories":490},[271],{"categories":492},[309],{"categories":494},[309],{"categories":496},[309],{"categories":498},[271],{"categories":500},[271],{"categories":502},[294],{"categories":504},[294],{"categories":506},[274],{"categories":508},[258],{"categories":510},[274],{"categories":512},[277],{"categories":514},[258],{"categories":516},[258],{"categories":518},[258],{"categories":520},[274],{"categories":522},[],{"categories":524},[],{"categories":526},[294],{"categories":528},[294],{"categories":530},[277],{"categories":532},[294],{"categories":534},[294],{"categories":536},[],{"categories":538},[294],{"categories":540},[294],{"categories":542},[],{"categories":544},[294],{"categories":546},[263],{"categories":548},[263],{"categories":550},[],{"categories":552},[],{"categories":554},[271],{"categories":556},[271],{"categories":558},[277],{"categories":560},[294],{"categories":562},[],{"categories":564},[],{"categories":566},[268],{"categories":568},[294],{"categories":570},[294],{"categories":572},[],{"categories":574},[294,258],{"categories":576},[294],{"categories":578},[],{"categories":580},[294],{"categories":582},[294],{"categories":584},[],{"categories":586},[],{"categories":588},[268],{"categories":590},[294],{"categories":592},[294],{"categories":594},[268],{"categories":596},[294],{"categories":598},[],{"categories":600},[],{"categories":602},[294],{"categories":604},[],{"categories":606},[294],{"categories":608},[294],{"categories":610},[],{"categories":612},[268],{"categories":614},[274],{"categories":616},[],{"categories":618},[268,619],"DevOps & Cloud",{"categories":621},[294],{"categories":623},[268],{"categories":625},[294],{"categories":627},[],{"categories":629},[],{"categories":631},[],{"categories":633},[],{"categories":635},[294],{"categories":637},[268],{"categories":639},[],{"categories":641},[268],{"categories":643},[],{"categories":645},[294],{"categories":647},[],{"categories":649},[],{"categories":651},[],{"categories":653},[],{"categories":655},[268],{"categories":657},[274],{"categories":659},[294],{"categories":661},[271],{"categories":663},[263],{"categories":665},[258],{"categories":667},[309],{"categories":669},[],{"categories":671},[268],{"categories":673},[268],{"categories":675},[294],{"categories":677},[],{"categories":679},[],{"categories":681},[],{"categories":683},[268],{"categories":685},[],{"categories":687},[268],{"categories":689},[268],{"categories":691},[263],{"categories":693},[268],{"categories":695},[294],{"categories":697},[],{"categories":699},[294],{"categories":701},[],{"categories":703},[263],{"categories":705},[268,706],"Product Strategy",{"categories":708},[277],{"categories":710},[619],{"categories":712},[706],{"categories":714},[294],{"categories":716},[268],{"categories":718},[],{"categories":720},[263],{"categories":722},[263],{"categories":724},[268],{"categories":726},[],{"categories":728},[268],{"categories":730},[294],{"categories":732},[294],{"categories":734},[309],{"categories":736},[294],{"categories":738},[],{"categories":740},[294,277],{"categories":742},[263],{"categories":744},[294],{"categories":746},[263],{"categories":748},[268],{"categories":750},[263],{"categories":752},[],{"categories":754},[277],{"categories":756},[258],{"categories":758},[],{"categories":760},[268],{"categories":762},[268],{"categories":764},[268],{"categories":766},[268],{"categories":768},[258],{"categories":770},[274],{"categories":772},[271],{"categories":774},[],{"categories":776},[268],{"categories":778},[],{"categories":780},[263],{"categories":782},[263],{"categories":784},[263],{"categories":786},[268],{"categories":788},[263],{"categories":790},[294],{"categories":792},[309],{"categories":794},[294],{"categories":796},[277],{"categories":798},[294,309],{"categories":800},[309],{"categories":802},[309],{"categories":804},[309],{"categories":806},[309],{"categories":808},[294],{"categories":810},[],{"categories":812},[],{"categories":814},[271],{"categories":816},[],{"categories":818},[294],{"categories":820},[309],{"categories":822},[294],{"categories":824},[274],{"categories":826},[277],{"categories":828},[],{"categories":830},[294],{"categories":832},[309],{"categories":834},[271],{"categories":836},[263],{"categories":838},[277],{"categories":840},[294],{"categories":842},[],{"categories":844},[277],{"categories":846},[274],{"categories":848},[258],{"categories":850},[258],{"categories":852},[],{"categories":854},[274],{"categories":856},[258],{"categories":858},[263],{"categories":860},[309],{"categories":862},[268],{"categories":864},[268],{"categories":866},[294],{"categories":868},[294],{"categories":870},[263],{"categories":872},[263],{"categories":874},[309],{"categories":876},[263],{"categories":878},[],{"categories":880},[706],{"categories":882},[268],{"categories":884},[263],{"categories":886},[263],{"categories":888},[263],{"categories":890},[294],{"categories":892},[268],{"categories":894},[268],{"categories":896},[258],{"categories":898},[258],{"categories":900},[294],{"categories":902},[263],{"categories":904},[],{"categories":906},[294],{"categories":908},[258],{"categories":910},[268],{"categories":912},[268],{"categories":914},[268],{"categories":916},[274],{"categories":918},[268],{"categories":920},[309],{"categories":922},[263],{"categories":924},[263],{"categories":926},[263],{"categories":928},[263],{"categories":930},[263],{"categories":932},[],{"categories":934},[],{"categories":936},[309],{"categories":938},[263],{"categories":940},[263],{"categories":942},[263],{"categories":944},[],{"categories":946},[294],{"categories":948},[],{"categories":950},[],{"categories":952},[274],{"categories":954},[258],{"categories":956},[],{"categories":958},[263],{"categories":960},[268],{"categories":962},[268],{"categories":964},[268],{"categories":966},[271],{"categories":968},[268],{"categories":970},[],{"categories":972},[263],{"categories":974},[263],{"categories":976},[294],{"categories":978},[],{"categories":980},[271],{"categories":982},[271],{"categories":984},[294],{"categories":986},[263],{"categories":988},[258],{"categories":990},[277],{"categories":992},[294],{"categories":994},[],{"categories":996},[294],{"categories":998},[294],{"categories":1000},[277],{"categories":1002},[294],{"categories":1004},[294],{"categories":1006},[294],{"categories":1008},[271],{"categories":1010},[263],{"categories":1012},[294],{"categories":1014},[294],{"categories":1016},[263],{"categories":1018},[268],{"categories":1020},[309],{"categories":1022},[258],{"categories":1024},[294],{"categories":1026},[309],{"categories":1028},[309],{"categories":1030},[],{"categories":1032},[271],{"categories":1034},[263],{"categories":1036},[263],{"categories":1038},[309],{"categories":1040},[268],{"categories":1042},[268],{"categories":1044},[268],{"categories":1046},[268],{"categories":1048},[274],{"categories":1050},[294],{"categories":1052},[294],{"categories":1054},[706],{"categories":1056},[294],{"categories":1058},[294],{"categories":1060},[268],{"categories":1062},[258],{"categories":1064},[271],{"categories":1066},[],{"categories":1068},[258],{"categories":1070},[258],{"categories":1072},[],{"categories":1074},[274],{"categories":1076},[294],{"categories":1078},[],{"categories":1080},[],{"categories":1082},[263],{"categories":1084},[263],{"categories":1086},[263],{"categories":1088},[263],{"categories":1090},[],{"categories":1092},[263],{"categories":1094},[294],{"categories":1096},[294],{"categories":1098},[],{"categories":1100},[263],{"categories":1102},[263],{"categories":1104},[258],{"categories":1106},[294],{"categories":1108},[],{"categories":1110},[],{"categories":1112},[263],{"categories":1114},[263],{"categories":1116},[263],{"categories":1118},[294],{"categories":1120},[263],{"categories":1122},[263],{"categories":1124},[263],{"categories":1126},[263],{"categories":1128},[263],{"categories":1130},[],{"categories":1132},[268],{"categories":1134},[294],{"categories":1136},[271],{"categories":1138},[258],{"categories":1140},[268],{"categories":1142},[294],{"categories":1144},[],{"categories":1146},[271],{"categories":1148},[263],{"categories":1150},[263],{"categories":1152},[263],{"categories":1154},[263],{"categories":1156},[309],{"categories":1158},[277],{"categories":1160},[],{"categories":1162},[294],{"categories":1164},[268],{"categories":1166},[268],{"categories":1168},[268],{"categories":1170},[619],{"categories":1172},[268],{"categories":1174},[294],{"categories":1176},[294],{"categories":1178},[277],{"categories":1180},[619],{"categories":1182},[354],{"categories":1184},[294],{"categories":1186},[354],{"categories":1188},[],{"categories":1190},[271],{"categories":1192},[271],{"categories":1194},[274],{"categories":1196},[619],{"categories":1198},[268],{"categories":1200},[294],{"categories":1202},[294],{"categories":1204},[268],{"categories":1206},[268],{"categories":1208},[268],{"categories":1210},[309],{"categories":1212},[309],{"categories":1214},[268],{"categories":1216},[268],{"categories":1218},[],{"categories":1220},[268],{"categories":1222},[268],{"categories":1224},[294],{"categories":1226},[354],{"categories":1228},[268],{"categories":1230},[268],{"categories":1232},[268],{"categories":1234},[268],{"categories":1236},[258],{"categories":1238},[274],{"categories":1240},[263],{"categories":1242},[277],{"categories":1244},[619],{"categories":1246},[277],{"categories":1248},[354],{"categories":1250},[],{"categories":1252},[277],{"categories":1254},[],{"categories":1256},[],{"categories":1258},[277],{"categories":1260},[294],{"categories":1262},[],{"categories":1264},[],{"categories":1266},[],{"categories":1268},[258],{"categories":1270},[],{"categories":1272},[],{"categories":1274},[354],{"categories":1276},[294],{"categories":1278},[619],{"categories":1280},[294],{"categories":1282},[],{"categories":1284},[268],{"categories":1286},[309],{"categories":1288},[309],{"categories":1290},[271],{"categories":1292},[271],{"categories":1294},[271],{"categories":1296},[619],{"categories":1298},[277],{"categories":1300},[268],{"categories":1302},[258],{"categories":1304},[258],{"categories":1306},[277],{"categories":1308},[274],{"categories":1310},[354],{"categories":1312},[274],{"categories":1314},[],{"categories":1316},[294],{"categories":1318},[268],{"categories":1320},[268],{"categories":1322},[309],{"categories":1324},[268],{"categories":1326},[268],{"categories":1328},[274],{"categories":1330},[274],{"categories":1332},[268],{"categories":1334},[619],{"categories":1336},[294],{"categories":1338},[],{"categories":1340},[271],{"categories":1342},[268],{"categories":1344},[258],{"categories":1346},[268],{"categories":1348},[268],{"categories":1350},[],{"categories":1352},[294],{"categories":1354},[268],{"categories":1356},[268],{"categories":1358},[309],{"categories":1360},[268],{"categories":1362},[294],{"categories":1364},[],{"categories":1366},[268],{"categories":1368},[],{"categories":1370},[274],{"categories":1372},[309],{"categories":1374},[294],{"categories":1376},[277],{"categories":1378},[274],{"categories":1380},[309],{"categories":1382},[354],{"categories":1384},[309],{"categories":1386},[],{"categories":1388},[294],{"categories":1390},[294],{"categories":1392},[706],{"categories":1394},[277],{"categories":1396},[294,268],{"categories":1398},[268],{"categories":1400},[294],{"categories":1402},[268],{"categories":1404},[268,277],{"categories":1406},[268],{"categories":1408},[294],{"categories":1410},[],{"categories":1412},[309],{"categories":1414},[294],{"categories":1416},[268],{"categories":1418},[294],{"categories":1420},[],{"categories":1422},[277],{"categories":1424},[258],{"categories":1426},[268],{"categories":1428},[],{"categories":1430},[354],{"categories":1432},[277],{"categories":1434},[268],{"categories":1436},[277],{"categories":1438},[],{"categories":1440},[268],{"categories":1442},[],{"categories":1444},[268],{"categories":1446},[],{"categories":1448},[],{"categories":1450},[274],{"categories":1452},[309],{"categories":1454},[294],{"categories":1456},[268],{"categories":1458},[],{"categories":1460},[268],{"categories":1462},[277],{"categories":1464},[294],{"categories":1466},[294],{"categories":1468},[277],{"categories":1470},[277],{"categories":1472},[309],{"categories":1474},[258],{"categories":1476},[],{"categories":1478},[294],{"categories":1480},[294],{"categories":1482},[294],{"categories":1484},[268],{"categories":1486},[294],{"categories":1488},[],{"categories":1490},[274],{"categories":1492},[294],{"categories":1494},[268],{"categories":1496},[],{"categories":1498},[294],{"categories":1500},[],{"categories":1502},[294],{"categories":1504},[],{"categories":1506},[],{"categories":1508},[],{"categories":1510},[294],{"categories":1512},[294],{"categories":1514},[294],{"categories":1516},[294],{"categories":1518},[],{"categories":1520},[294],{"categories":1522},[294],{"categories":1524},[294],{"categories":1526},[],{"categories":1528},[294],{"categories":1530},[],{"categories":1532},[271],{"categories":1534},[294],{"categories":1536},[],{"categories":1538},[],{"categories":1540},[],{"categories":1542},[294],{"categories":1544},[263],{"categories":1546},[263],{"categories":1548},[],{"categories":1550},[268],{"categories":1552},[294],{"categories":1554},[],{"categories":1556},[294],{"categories":1558},[294],{"categories":1560},[263],{"categories":1562},[],{"categories":1564},[294],{"categories":1566},[263],{"categories":1568},[268],{"categories":1570},[294],{"categories":1572},[],{"categories":1574},[],{"categories":1576},[],{"categories":1578},[268],{"categories":1580},[268],{"categories":1582},[268],{"categories":1584},[268],{"categories":1586},[294],{"categories":1588},[274],{"categories":1590},[274],{"categories":1592},[268],{"categories":1594},[268],{"categories":1596},[309],{"categories":1598},[706],{"categories":1600},[309],{"categories":1602},[309],{"categories":1604},[294],{"categories":1606},[268],{"categories":1608},[294],{"categories":1610},[309],{"categories":1612},[294],{"categories":1614},[268],{"categories":1616},[268],{"categories":1618},[268],{"categories":1620},[268],{"categories":1622},[268],{"categories":1624},[294],{"categories":1626},[309],{"categories":1628},[309],{"categories":1630},[271],{"categories":1632},[268],{"categories":1634},[],{"categories":1636},[268],{"categories":1638},[],{"categories":1640},[263],{"categories":1642},[294],{"categories":1644},[],{"categories":1646},[258],{"categories":1648},[274],{"categories":1650},[274],{"categories":1652},[268],{"categories":1654},[268],{"categories":1656},[294],{"categories":1658},[294],{"categories":1660},[263],{"categories":1662},[263],{"categories":1664},[619],{"categories":1666},[268],{"categories":1668},[263],{"categories":1670},[],{"categories":1672},[294],{"categories":1674},[268],{"categories":1676},[268],{"categories":1678},[268],{"categories":1680},[268],{"categories":1682},[294],{"categories":1684},[294],{"categories":1686},[294],{"categories":1688},[294],{"categories":1690},[268],{"categories":1692},[268],{"categories":1694},[268],{"categories":1696},[268],{"categories":1698},[],{"categories":1700},[274],{"categories":1702},[294],{"categories":1704},[294],{"categories":1706},[294],{"categories":1708},[],{"categories":1710},[271],{"categories":1712},[],{"categories":1714},[309],{"categories":1716},[],{"categories":1718},[268],{"categories":1720},[309],{"categories":1722},[274],{"categories":1724},[309],{"categories":1726},[],{"categories":1728},[309],{"categories":1730},[309],{"categories":1732},[],{"categories":1734},[274],{"categories":1736},[268],{"categories":1738},[268],{"categories":1740},[309],{"categories":1742},[294],{"categories":1744},[294],{"categories":1746},[],{"categories":1748},[263],{"categories":1750},[],{"categories":1752},[271],{"categories":1754},[],{"categories":1756},[274],{"categories":1758},[263],{"categories":1760},[274],{"categories":1762},[274],{"categories":1764},[274],{"categories":1766},[274],{"categories":1768},[274],{"categories":1770},[274],{"categories":1772},[274],{"categories":1774},[274],{"categories":1776},[274],{"categories":1778},[274],{"categories":1780},[],{"categories":1782},[268],{"categories":1784},[274],{"categories":1786},[294],{"categories":1788},[294],{"categories":1790},[274],{"categories":1792},[274],{"categories":1794},[274],{"categories":1796},[274],{"categories":1798},[274],{"categories":1800},[274],{"categories":1802},[274],{"categories":1804},[294,274],{"categories":1806},[274],{"categories":1808},[274],{"categories":1810},[274],{"categories":1812},[274],{"categories":1814},[],{"categories":1816},[274],{"categories":1818},[274],{"categories":1820},[274],{"categories":1822},[274],{"categories":1824},[274],{"categories":1826},[274],{"categories":1828},[274],{"categories":1830},[274],{"categories":1832},[274],{"categories":1834},[274,294],{"categories":1836},[274],{"categories":1838},[274],{"categories":1840},[],{"categories":1842},[263],{"categories":1844},[],{"categories":1846},[294],{"categories":1848},[],{"categories":1850},[268],{"categories":1852},[619],{"categories":1854},[706],{"categories":1856},[268],{"categories":1858},[268],{"categories":1860},[],{"categories":1862},[268],{"categories":1864},[],{"categories":1866},[268],{"categories":1868},[],{"categories":1870},[],{"categories":1872},[294],{"categories":1874},[294],{"categories":1876},[294],{"categories":1878},[263],{"categories":1880},[263],{"categories":1882},[263],{"categories":1884},[263],{"categories":1886},[],{"categories":1888},[263],{"categories":1890},[],{"categories":1892},[263],{"categories":1894},[294],{"categories":1896},[263],{"categories":1898},[263],{"categories":1900},[263],{"categories":1902},[263],{"categories":1904},[294],{"categories":1906},[263],{"categories":1908},[268],{"categories":1910},[],{"categories":1912},[268],{"categories":1914},[263],{"categories":1916},[294],{"categories":1918},[263],{"categories":1920},[263],{"categories":1922},[263],{"categories":1924},[294],{"categories":1926},[294],{"categories":1928},[294],{"categories":1930},[],{"categories":1932},[],{"categories":1934},[294],{"categories":1936},[263],{"categories":1938},[],{"categories":1940},[294],{"categories":1942},[268],{"categories":1944},[294],{"categories":1946},[268],{"categories":1948},[268],{"categories":1950},[294],{"categories":1952},[],{"categories":1954},[],{"categories":1956},[268],{"categories":1958},[268],{"categories":1960},[268],{"categories":1962},[268],{"categories":1964},[268],{"categories":1966},[268],{"categories":1968},[268],{"categories":1970},[268],{"categories":1972},[],{"categories":1974},[268],{"categories":1976},[268],{"categories":1978},[268],{"categories":1980},[294],{"categories":1982},[294],{"categories":1984},[294],{"categories":1986},[263],{"categories":1988},[294],{"categories":1990},[294],{"categories":1992},[294],{"categories":1994},[268],{"categories":1996},[271],{"categories":1998},[271],{"categories":2000},[271],{"categories":2002},[268],{"categories":2004},[],{"categories":2006},[294],{"categories":2008},[],{"categories":2010},[],{"categories":2012},[294],{"categories":2014},[],{"categories":2016},[268],{"categories":2018},[274],{"categories":2020},[309],{"categories":2022},[354],{"categories":2024},[294],{"categories":2026},[268],{"categories":2028},[274],{"categories":2030},[],{"categories":2032},[268],{"categories":2034},[271,258],{"categories":2036},[268],{"categories":2038},[268],{"categories":2040},[619],{"categories":2042},[277],{"categories":2044},[271],{"categories":2046},[309],{"categories":2048},[294],{"categories":2050},[],{"categories":2052},[294],{"categories":2054},[],{"categories":2056},[294],{"categories":2058},[294],{"categories":2060},[268],{"categories":2062},[],{"categories":2064},[294],{"categories":2066},[268],{"categories":2068},[294],{"categories":2070},[309],{"categories":2072},[268],{"categories":2074},[294],{"categories":2076},[294,309],{"categories":2078},[309],{"categories":2080},[],{"categories":2082},[294],{"categories":2084},[294],{"categories":2086},[294],{"categories":2088},[],{"categories":2090},[],{"categories":2092},[268],{"categories":2094},[271],{"categories":2096},[263],{"categories":2098},[268],{"categories":2100},[294],{"categories":2102},[263],{"categories":2104},[],{"categories":2106},[309],{"categories":2108},[263],{"categories":2110},[],{"categories":2112},[354],{"categories":2114},[271],{"categories":2116},[258],{"categories":2118},[263],{"categories":2120},[294],{"categories":2122},[268],{"categories":2124},[294],{"categories":2126},[268],{"categories":2128},[268],{"categories":2130},[263],{"categories":2132},[309],{"categories":2134},[274],{"categories":2136},[258],{"categories":2138},[294],{"categories":2140},[294],{"categories":2142},[],{"categories":2144},[],{"categories":2146},[294],{"categories":2148},[],{"categories":2150},[294],{"categories":2152},[263],{"categories":2154},[],{"categories":2156},[268],{"categories":2158},[309],{"categories":2160},[263],{"categories":2162},[309],{"categories":2164},[268],{"categories":2166},[294],{"categories":2168},[],{"categories":2170},[268],{"categories":2172},[268],{"categories":2174},[274],{"categories":2176},[268],{"categories":2178},[274],{"categories":2180},[268],{"categories":2182},[268],{"categories":2184},[274],{"categories":2186},[],{"categories":2188},[],{"categories":2190},[274],{"categories":2192},[274],{"categories":2194},[274],{"categories":2196},[277],{"categories":2198},[309],{"categories":2200},[309],{"categories":2202},[268],{"categories":2204},[263],{"categories":2206},[309],{"categories":2208},[309],{"categories":2210},[271],{"categories":2212},[274],{"categories":2214},[268],{"categories":2216},[268],{"categories":2218},[294],{"categories":2220},[309],{"categories":2222},[294],{"categories":2224},[],{"categories":2226},[619],{"categories":2228},[706],{"categories":2230},[],{"categories":2232},[],{"categories":2234},[268],{"categories":2236},[263],{"categories":2238},[271],{"categories":2240},[271],{"categories":2242},[354],{"categories":2244},[274],{"categories":2246},[354],{"categories":2248},[354],{"categories":2250},[268],{"categories":2252},[],{"categories":2254},[],{"categories":2256},[354],{"categories":2258},[277],{"categories":2260},[294],{"categories":2262},[277],{"categories":2264},[354],{"categories":2266},[277],{"categories":2268},[354],{"categories":2270},[258],{"categories":2272},[277],{"categories":2274},[309],{"categories":2276},[294],{"categories":2278},[],{"categories":2280},[354],{"categories":2282},[619],{"categories":2284},[],{"categories":2286},[294],{"categories":2288},[294],{"categories":2290},[],{"categories":2292},[],{"categories":2294},[294],{"categories":2296},[294],{"categories":2298},[263],{"categories":2300},[294],{"categories":2302},[],{"categories":2304},[263],{"categories":2306},[],{"categories":2308},[],{"categories":2310},[263],{"categories":2312},[263],{"categories":2314},[294],{"categories":2316},[294],{"categories":2318},[294],{"categories":2320},[294],{"categories":2322},[294],{"categories":2324},[294],{"categories":2326},[271],{"categories":2328},[],{"categories":2330},[294],{"categories":2332},[],{"categories":2334},[],{"categories":2336},[268],{"categories":2338},[309],{"categories":2340},[],{"categories":2342},[619],{"categories":2344},[294,619],{"categories":2346},[294],{"categories":2348},[],{"categories":2350},[274],{"categories":2352},[274],{"categories":2354},[274],{"categories":2356},[274],{"categories":2358},[274],{"categories":2360},[],{"categories":2362},[],{"categories":2364},[],{"categories":2366},[277],{"categories":2368},[268],{"categories":2370},[258],{"categories":2372},[277],{"categories":2374},[309],{"categories":2376},[274],{"categories":2378},[],{"categories":2380},[271],{"categories":2382},[706],{"categories":2384},[354],{"categories":2386},[354],{"categories":2388},[354],{"categories":2390},[309],{"categories":2392},[706],{"categories":2394},[309],{"categories":2396},[],{"categories":2398},[258],{"categories":2400},[277],{"categories":2402},[294],{"categories":2404},[274],{"categories":2406},[271],{"categories":2408},[277],{"categories":2410},[271],{"categories":2412},[294],{"categories":2414},[274],{"categories":2416},[277],{"categories":2418},[619],{"categories":2420},[294],{"categories":2422},[263],{"categories":2424},[277],{"categories":2426},[],{"categories":2428},[294],{"categories":2430},[277],{"categories":2432},[277],{"categories":2434},[268],{"categories":2436},[],{"categories":2438},[271],{"categories":2440},[271],{"categories":2442},[271],{"categories":2444},[268],{"categories":2446},[294],{"categories":2448},[],{"categories":2450},[258],{"categories":2452},[309],{"categories":2454},[309],{"categories":2456},[354],{"categories":2458},[258],{"categories":2460},[263],{"categories":2462},[354],{"categories":2464},[],{"categories":2466},[263],{"categories":2468},[263],{"categories":2470},[263],{"categories":2472},[294],{"categories":2474},[258],{"categories":2476},[294],{"categories":2478},[],{"categories":2480},[],{"categories":2482},[],{"categories":2484},[277],{"categories":2486},[268],{"categories":2488},[],{"categories":2490},[309],{"categories":2492},[274],{"categories":2494},[],{"categories":2496},[271],{"categories":2498},[],{"categories":2500},[274],{"categories":2502},[294],{"categories":2504},[309],{"categories":2506},[258],{"categories":2508},[],{"categories":2510},[274],{"categories":2512},[274],{"categories":2514},[294],{"categories":2516},[],{"categories":2518},[],{"categories":2520},[277],{"categories":2522},[294],{"categories":2524},[],{"categories":2526},[268],{"categories":2528},[294],{"categories":2530},[],{"categories":2532},[277],{"categories":2534},[268],{"categories":2536},[294],{"categories":2538},[354],{"categories":2540},[294],{"categories":2542},[],{"categories":2544},[354],{"categories":2546},[294],{"categories":2548},[277],{"categories":2550},[294],{"categories":2552},[354],{"categories":2554},[268],{"categories":2556},[294],{"categories":2558},[294],{"categories":2560},[294,268],{"categories":2562},[268],{"categories":2564},[268],{"categories":2566},[268],{"categories":2568},[274],{"categories":2570},[309],{"categories":2572},[294],{"categories":2574},[309],{"categories":2576},[274],{"categories":2578},[294],{"categories":2580},[],{"categories":2582},[],{"categories":2584},[294],{"categories":2586},[294],{"categories":2588},[294],{"categories":2590},[268],{"categories":2592},[294],{"categories":2594},[],{"categories":2596},[294],{"categories":2598},[294],{"categories":2600},[268],{"categories":2602},[268],{"categories":2604},[294],{"categories":2606},[294],{"categories":2608},[],{"categories":2610},[294],{"categories":2612},[],{"categories":2614},[294],{"categories":2616},[294],{"categories":2618},[294],{"categories":2620},[294],{"categories":2622},[294],{"categories":2624},[294],{"categories":2626},[294],{"categories":2628},[],{"categories":2630},[294],{"categories":2632},[263],{"categories":2634},[263],{"categories":2636},[],{"categories":2638},[],{"categories":2640},[294],{"categories":2642},[],{"categories":2644},[294],{"categories":2646},[294,619],{"categories":2648},[],{"categories":2650},[263],{"categories":2652},[],{"categories":2654},[294],{"categories":2656},[],{"categories":2658},[],{"categories":2660},[],{"categories":2662},[294],{"categories":2664},[],{"categories":2666},[294],{"categories":2668},[],{"categories":2670},[294],{"categories":2672},[294],{"categories":2674},[],{"categories":2676},[],{"categories":2678},[294,619],{"categories":2680},[619,294],{"categories":2682},[263],{"categories":2684},[],{"categories":2686},[294],{"categories":2688},[],{"categories":2690},[294],{"categories":2692},[294],{"categories":2694},[],{"categories":2696},[263],{"categories":2698},[294,258],{"categories":2700},[263],{"categories":2702},[277],{"categories":2704},[],{"categories":2706},[268],{"categories":2708},[294],{"categories":2710},[271],{"categories":2712},[294],{"categories":2714},[309],{"categories":2716},[309],{"categories":2718},[619],{"categories":2720},[263],{"categories":2722},[294],{"categories":2724},[619],{"categories":2726},[277],{"categories":2728},[294],{"categories":2730},[309],{"categories":2732},[],{"categories":2734},[294],{"categories":2736},[],{"categories":2738},[],{"categories":2740},[294],{"categories":2742},[],{"categories":2744},[294],{"categories":2746},[277],{"categories":2748},[258],{"categories":2750},[309],{"categories":2752},[271],{"categories":2754},[268],{"categories":2756},[309],{"categories":2758},[],{"categories":2760},[271],{"categories":2762},[],{"categories":2764},[],{"categories":2766},[294],{"categories":2768},[263],{"categories":2770},[271],{"categories":2772},[],{"categories":2774},[294],{"categories":2776},[263],{"categories":2778},[263],{"categories":2780},[271],{"categories":2782},[263],{"categories":2784},[294],{"categories":2786},[263],{"categories":2788},[294],{"categories":2790},[],{"categories":2792},[294],{"categories":2794},[294],{"categories":2796},[294],{"categories":2798},[263],{"categories":2800},[],{"categories":2802},[],{"categories":2804},[274],{"categories":2806},[263],{"categories":2808},[],{"categories":2810},[294],{"categories":2812},[294],{"categories":2814},[294],{"categories":2816},[294],{"categories":2818},[294],{"categories":2820},[294],{"categories":2822},[294],{"categories":2824},[294],{"categories":2826},[294],{"categories":2828},[271],{"categories":2830},[294,274],{"categories":2832},[263],{"categories":2834},[263],{"categories":2836},[294],{"categories":2838},[277],{"categories":2840},[354],{"categories":2842},[294],{"categories":2844},[294],{"categories":2846},[],{"categories":2848},[],{"categories":2850},[294],{"categories":2852},[294],{"categories":2854},[],{"categories":2856},[274],{"categories":2858},[274],{"categories":2860},[309],{"categories":2862},[294],{"categories":2864},[309],{"categories":2866},[294],{"categories":2868},[294],{"categories":2870},[],{"categories":2872},[294],{"categories":2874},[],{"categories":2876},[],{"categories":2878},[294],{"categories":2880},[],{"categories":2882},[],{"categories":2884},[263],{"categories":2886},[],{"categories":2888},[294],{"categories":2890},[294],{"categories":2892},[294],{"categories":2894},[],{"categories":2896},[294],{"categories":2898},[263],{"categories":2900},[706],{"categories":2902},[268],{"categories":2904},[294],{"categories":2906},[],{"categories":2908},[268],{"categories":2910},[294],{"categories":2912},[],{"categories":2914},[294],{"categories":2916},[],{"categories":2918},[268],{"categories":2920},[],{"categories":2922},[],{"categories":2924},[268],{"categories":2926},[268],{"categories":2928},[268],{"categories":2930},[294],{"categories":2932},[],{"categories":2934},[268],{"categories":2936},[268],{"categories":2938},[],{"categories":2940},[],{"categories":2942},[268],{"categories":2944},[294],{"categories":2946},[263],{"categories":2948},[706],{"categories":2950},[271],{"categories":2952},[],{"categories":2954},[274],{"categories":2956},[294],{"categories":2958},[294],{"categories":2960},[258],{"categories":2962},[263],{"categories":2964},[263],{"categories":2966},[263],{"categories":2968},[263],{"categories":2970},[],{"categories":2972},[268],{"categories":2974},[268],{"categories":2976},[268],{"categories":2978},[268],{"categories":2980},[309],{"categories":2982},[294],{"categories":2984},[258],{"categories":2986},[],{"categories":2988},[309],{"categories":2990},[268],{"categories":2992},[274],{"categories":2994},[274],{"categories":2996},[274],{"categories":2998},[274],{"categories":3000},[274],{"categories":3002},[274],{"categories":3004},[294,258],{"categories":3006},[268],{"categories":3008},[258],{"categories":3010},[263],{"categories":3012},[263],{"categories":3014},[309],{"categories":3016},[],{"categories":3018},[],{"categories":3020},[271],{"categories":3022},[],{"categories":3024},[294],{"categories":3026},[271],{"categories":3028},[294],{"categories":3030},[277],{"categories":3032},[268],{"categories":3034},[258],{"categories":3036},[268],{"categories":3038},[277],{"categories":3040},[309],{"categories":3042},[268],{"categories":3044},[],{"categories":3046},[309],{"categories":3048},[],{"categories":3050},[],{"categories":3052},[268],{"categories":3054},[268],{"categories":3056},[268],{"categories":3058},[294],{"categories":3060},[294],{"categories":3062},[294],{"categories":3064},[294],{"categories":3066},[294],{"categories":3068},[],{"categories":3070},[619],{"categories":3072},[294],{"categories":3074},[],{"categories":3076},[],{"categories":3078},[],{"categories":3080},[309],{"categories":3082},[],{"categories":3084},[294],{"categories":3086},[],{"categories":3088},[263],{"categories":3090},[294],{"categories":3092},[263],{"categories":3094},[294],{"categories":3096},[268],{"categories":3098},[],{"categories":3100},[294],{"categories":3102},[294],{"categories":3104},[],{"categories":3106},[354],{"categories":3108},[354],{"categories":3110},[277],{"categories":3112},[274],{"categories":3114},[],{"categories":3116},[294],{"categories":3118},[268],{"categories":3120},[],{"categories":3122},[],{"categories":3124},[294],{"categories":3126},[277],{"categories":3128},[268],{"categories":3130},[258],{"categories":3132},[309,277],{"categories":3134},[277],{"categories":3136},[294],{"categories":3138},[268],{"categories":3140},[],{"categories":3142},[],{"categories":3144},[],{"categories":3146},[],{"categories":3148},[],{"categories":3150},[],{"categories":3152},[294],{"categories":3154},[],{"categories":3156},[],{"categories":3158},[294],{"categories":3160},[],{"categories":3162},[],{"categories":3164},[],{"categories":3166},[294],{"categories":3168},[263],{"categories":3170},[],{"categories":3172},[],{"categories":3174},[],{"categories":3176},[294],{"categories":3178},[],{"categories":3180},[294],{"categories":3182},[294],{"categories":3184},[],{"categories":3186},[294],{"categories":3188},[277],{"categories":3190},[],{"categories":3192},[309],{"categories":3194},[309],{"categories":3196},[],{"categories":3198},[271],{"categories":3200},[],{"categories":3202},[],{"categories":3204},[],{"categories":3206},[274],{"categories":3208},[263],{"categories":3210},[268],{"categories":3212},[294],{"categories":3214},[258],{"categories":3216},[294],{"categories":3218},[],{"categories":3220},[],{"categories":3222},[258],{"categories":3224},[271],{"categories":3226},[268],{"categories":3228},[],{"categories":3230},[619],{"categories":3232},[],{"categories":3234},[271],{"categories":3236},[294],{"categories":3238},[294],{"categories":3240},[271],{"categories":3242},[294],{"categories":3244},[274],{"categories":3246},[268],{"categories":3248},[294],{"categories":3250},[268],{"categories":3252},[294],{"categories":3254},[268],{"categories":3256},[309],{"categories":3258},[309],{"categories":3260},[274],{"categories":3262},[],{"categories":3264},[294],{"categories":3266},[294],{"categories":3268},[271],{"categories":3270},[706],{"categories":3272},[309],{"categories":3274},[263],{"categories":3276},[294],{"categories":3278},[263],{"categories":3280},[294],{"categories":3282},[294],{"categories":3284},[],{"categories":3286},[294],{"categories":3288},[],{"categories":3290},[294],{"categories":3292},[271],{"categories":3294},[294],{"categories":3296},[294],{"categories":3298},[294],{"categories":3300},[],{"categories":3302},[294],{"categories":3304},[294],{"categories":3306},[706],{"categories":3308},[],{"categories":3310},[263],{"categories":3312},[619],{"categories":3314},[277],{"categories":3316},[],{"categories":3318},[354],{"categories":3320},[],{"categories":3322},[],{"categories":3324},[263],{"categories":3326},[294],{"categories":3328},[],{"categories":3330},[294],{"categories":3332},[294],{"categories":3334},[268],{"categories":3336},[294],{"categories":3338},[263],{"categories":3340},[263],{"categories":3342},[274],{"categories":3344},[274],{"categories":3346},[274],{"categories":3348},[294],{"categories":3350},[354],{"categories":3352},[263],{"categories":3354},[309],{"categories":3356},[],{"categories":3358},[274],{"categories":3360},[274],{"categories":3362},[619],{"categories":3364},[274],{"categories":3366},[274],{"categories":3368},[268],{"categories":3370},[263],{"categories":3372},[619],{"categories":3374},[294],{"categories":3376},[294],{"categories":3378},[294],{"categories":3380},[294],{"categories":3382},[],{"categories":3384},[268],{"categories":3386},[294],{"categories":3388},[274],{"categories":3390},[],{"categories":3392},[],{"categories":3394},[263],{"categories":3396},[],{"categories":3398},[268],{"categories":3400},[268],{"categories":3402},[268],{"categories":3404},[268],{"categories":3406},[268],{"categories":3408},[268],{"categories":3410},[268],{"categories":3412},[268],{"categories":3414},[],{"categories":3416},[],{"categories":3418},[294],{"categories":3420},[],{"categories":3422},[268],{"categories":3424},[309],{"categories":3426},[309],{"categories":3428},[354],{"categories":3430},[258],{"categories":3432},[],{"categories":3434},[],{"categories":3436},[],{"categories":3438},[274],{"categories":3440},[294],{"categories":3442},[],{"categories":3444},[258],{"categories":3446},[258],{"categories":3448},[274],{"categories":3450},[309],{"categories":3452},[354],{"categories":3454},[274],{"categories":3456},[274],{"categories":3458},[],{"categories":3460},[268],{"categories":3462},[258],{"categories":3464},[258],{"categories":3466},[294],{"categories":3468},[268],{"categories":3470},[277],{"categories":3472},[274],{"categories":3474},[],{"categories":3476},[271],{"categories":3478},[354],{"categories":3480},[263],{"categories":3482},[263],{"categories":3484},[263],{"categories":3486},[619],{"categories":3488},[],{"categories":3490},[268],{"categories":3492},[],{"categories":3494},[268],{"categories":3496},[268],{"categories":3498},[294],{"categories":3500},[294],{"categories":3502},[277],{"categories":3504},[268],{"categories":3506},[277],{"categories":3508},[],{"categories":3510},[268],{"categories":3512},[274],{"categories":3514},[274],{"categories":3516},[274],{"categories":3518},[294],{"categories":3520},[268],{"categories":3522},[294],{"categories":3524},[258],{"categories":3526},[263],{"categories":3528},[274],{"categories":3530},[263],{"categories":3532},[294],{"categories":3534},[],{"categories":3536},[263],{"categories":3538},[268],{"categories":3540},[263],{"categories":3542},[263],{"categories":3544},[263],{"categories":3546},[263],{"categories":3548},[],{"categories":3550},[],{"categories":3552},[263],{"categories":3554},[263],{"categories":3556},[],{"categories":3558},[263],{"categories":3560},[263],{"categories":3562},[294],{"categories":3564},[294],{"categories":3566},[263],{"categories":3568},[263],{"categories":3570},[294],{"categories":3572},[],{"categories":3574},[294],{"categories":3576},[268],{"categories":3578},[294],{"categories":3580},[294],{"categories":3582},[],{"categories":3584},[294],{"categories":3586},[294],{"categories":3588},[294],{"categories":3590},[263],{"categories":3592},[],{"categories":3594},[],{"categories":3596},[],{"categories":3598},[],{"categories":3600},[294],{"categories":3602},[294],{"categories":3604},[],{"categories":3606},[271],{"categories":3608},[263],{"categories":3610},[],{"categories":3612},[],{"categories":3614},[],{"categories":3616},[],{"categories":3618},[],{"categories":3620},[294],{"categories":3622},[],{"categories":3624},[],{"categories":3626},[294],{"categories":3628},[],{"categories":3630},[268],{"categories":3632},[268],{"categories":3634},[268],{"categories":3636},[258],{"categories":3638},[],{"categories":3640},[271],{"categories":3642},[277],{"categories":3644},[277],{"categories":3646},[619],{"categories":3648},[263],{"categories":3650},[],{"categories":3652},[294],{"categories":3654},[294],{"categories":3656},[258],{"categories":3658},[],{"categories":3660},[258],{"categories":3662},[],{"categories":3664},[],{"categories":3666},[],{"categories":3668},[277],{"categories":3670},[268],{"categories":3672},[268],{"categories":3674},[268],{"categories":3676},[268],{"categories":3678},[268],{"categories":3680},[],{"categories":3682},[263],{"categories":3684},[294],{"categories":3686},[294],{"categories":3688},[294],{"categories":3690},[],{"categories":3692},[258],{"categories":3694},[],{"categories":3696},[274],{"categories":3698},[354],{"categories":3700},[274],{"categories":3702},[],{"categories":3704},[],{"categories":3706},[294],{"categories":3708},[268],{"categories":3710},[],{"categories":3712},[294],{"categories":3714},[294],{"categories":3716},[294],{"categories":3718},[268],{"categories":3720},[268],{"categories":3722},[294],{"categories":3724},[354],{"categories":3726},[268],{"categories":3728},[],{"categories":3730},[294],{"categories":3732},[],{"categories":3734},[706],{"categories":3736},[277],{"categories":3738},[354],{"categories":3740},[277],{"categories":3742},[619],{"categories":3744},[294],{"categories":3746},[277],{"categories":3748},[263],{"categories":3750},[619],{"categories":3752},[277],{"categories":3754},[274],{"categories":3756},[274],{"categories":3758},[],{"categories":3760},[277],{"categories":3762},[],{"categories":3764},[309],{"categories":3766},[277],{"categories":3768},[],{"categories":3770},[354],{"categories":3772},[354],{"categories":3774},[706],{"categories":3776},[],{"categories":3778},[294],{"categories":3780},[277],{"categories":3782},[619],{"categories":3784},[268],{"categories":3786},[268],{"categories":3788},[354],{"categories":3790},[294],{"categories":3792},[309],{"categories":3794},[294],{"categories":3796},[],{"categories":3798},[],{"categories":3800},[],{"categories":3802},[271],{"categories":3804},[294],{"categories":3806},[274],{"categories":3808},[277],{"categories":3810},[277],{"categories":3812},[294],{"categories":3814},[271],{"categories":3816},[309],{"categories":3818},[294],{"categories":3820},[277],{"categories":3822},[294],{"categories":3824},[277],{"categories":3826},[309],{"categories":3828},[309],{"categories":3830},[268],{"categories":3832},[309],{"categories":3834},[277],{"categories":3836},[258],{"categories":3838},[277],{"categories":3840},[277],{"categories":3842},[277],{"categories":3844},[277],{"categories":3846},[],{"categories":3848},[263],{"categories":3850},[],{"categories":3852},[354],{"categories":3854},[294],{"categories":3856},[294],{"categories":3858},[],{"categories":3860},[],{"categories":3862},[],{"categories":3864},[294],{"categories":3866},[263],{"categories":3868},[294],{"categories":3870},[294],{"categories":3872},[],{"categories":3874},[294],{"categories":3876},[274],{"categories":3878},[294],{"categories":3880},[294],{"categories":3882},[294],{"categories":3884},[],{"categories":3886},[],{"categories":3888},[],{"categories":3890},[619],{"categories":3892},[619],{"categories":3894},[258],{"categories":3896},[268],{"categories":3898},[258,271],{"categories":3900},[294],{"categories":3902},[263],{"categories":3904},[],{"categories":3906},[274],{"categories":3908},[354],{"categories":3910},[294],{"categories":3912},[277],{"categories":3914},[294],{"categories":3916},[],{"categories":3918},[354],{"categories":3920},[619],{"categories":3922},[268],{"categories":3924},[258],{"categories":3926},[619],{"categories":3928},[268],{"categories":3930},[309],{"categories":3932},[268],{"categories":3934},[309],{"categories":3936},[294],{"categories":3938},[309],{"categories":3940},[309],{"categories":3942},[277],{"categories":3944},[354],{"categories":3946},[294],{"categories":3948},[271],{"categories":3950},[],{"categories":3952},[294],{"categories":3954},[274],{"categories":3956},[354],{"categories":3958},[258],{"categories":3960},[294],{"categories":3962},[354],{"categories":3964},[309],{"categories":3966},[294],{"categories":3968},[294],{"categories":3970},[354],{"categories":3972},[294],{"categories":3974},[309],{"categories":3976},[294],{"categories":3978},[],{"categories":3980},[294],{"categories":3982},[294],{"categories":3984},[294],{"categories":3986},[294],{"categories":3988},[],{"categories":3990},[268],{"categories":3992},[619],{"categories":3994},[],{"categories":3996},[],{"categories":3998},[294],{"categories":4000},[258],{"categories":4002},[271],{"categories":4004},[258],{"categories":4006},[258],{"categories":4008},[268],{"categories":4010},[],{"categories":4012},[294],{"categories":4014},[263],{"categories":4016},[294],{"categories":4018},[294],{"categories":4020},[],{"categories":4022},[268],{"categories":4024},[263],{"categories":4026},[294,619],{"categories":4028},[268,619],{"categories":4030},[619],{"categories":4032},[294],{"categories":4034},[268],{"categories":4036},[268],{"categories":4038},[277],{"categories":4040},[277],{"categories":4042},[277],{"categories":4044},[294],{"categories":4046},[274],{"categories":4048},[268],{"categories":4050},[],{"categories":4052},[619],{"categories":4054},[],{"categories":4056},[619],{"categories":4058},[619],{"categories":4060},[258],{"categories":4062},[268],{"categories":4064},[],{"categories":4066},[619],{"categories":4068},[294],{"categories":4070},[263],{"categories":4072},[294],{"categories":4074},[274],{"categories":4076},[277],{"categories":4078},[277],{"categories":4080},[277],{"categories":4082},[619],{"categories":4084},[],{"categories":4086},[],{"categories":4088},[],{"categories":4090},[294],{"categories":4092},[277],{"categories":4094},[294],{"categories":4096},[277],{"categories":4098},[619],{"categories":4100},[619],{"categories":4102},[294],{"categories":4104},[268],{"categories":4106},[],{"categories":4108},[294],{"categories":4110},[294],{"categories":4112},[294],{"categories":4114},[],{"categories":4116},[],{"categories":4118},[619],{"categories":4120},[619],{"categories":4122},[294,619],{"categories":4124},[268],{"categories":4126},[268],{"categories":4128},[268],{"categories":4130},[268],{"categories":4132},[268],{"categories":4134},[268],{"categories":4136},[],{"categories":4138},[277],{"categories":4140},[294],{"categories":4142},[277],{"categories":4144},[271],{"categories":4146},[294],{"categories":4148},[706],{"categories":4150},[706],{"categories":4152},[268],{"categories":4154},[277],{"categories":4156},[],{"categories":4158},[268],{"categories":4160},[294],{"categories":4162},[],{"categories":4164},[274],{"categories":4166},[],{"categories":4168},[294],{"categories":4170},[268],{"categories":4172},[263],{"categories":4174},[294],{"categories":4176},[],{"categories":4178},[],{"categories":4180},[274],{"categories":4182},[274],{"categories":4184},[309],{"categories":4186},[274],{"categories":4188},[268],{"categories":4190},[],{"categories":4192},[268],{"categories":4194},[263],{"categories":4196},[294],{"categories":4198},[294],{"categories":4200},[],{"categories":4202},[294],{"categories":4204},[309],{"categories":4206},[294],{"categories":4208},[],{"categories":4210},[354],{"categories":4212},[277],{"categories":4214},[277],{"categories":4216},[258],{"categories":4218},[258],{"categories":4220},[258],{"categories":4222},[268],{"categories":4224},[258],{"categories":4226},[268],{"categories":4228},[619],{"categories":4230},[706],{"categories":4232},[263],{"categories":4234},[263],{"categories":4236},[263],{"categories":4238},[619],{"categories":4240},[263,258],{"categories":4242},[354],{"categories":4244},[268],{"categories":4246},[],{"categories":4248},[294],{"categories":4250},[],{"categories":4252},[277],{"categories":4254},[354],{"categories":4256},[274],{"categories":4258},[277],{"categories":4260},[309],{"categories":4262},[],{"categories":4264},[268],{"categories":4266},[],{"categories":4268},[706],{"categories":4270},[],{"categories":4272},[274],{"categories":4274},[274],{"categories":4276},[354],{"categories":4278},[],{"categories":4280},[294],{"categories":4282},[354],{"categories":4284},[],{"categories":4286},[294],{"categories":4288},[294],{"categories":4290},[],{"categories":4292},[309],{"categories":4294},[294],{"categories":4296},[],{"categories":4298},[294],{"categories":4300},[],{"categories":4302},[],{"categories":4304},[268],{"categories":4306},[268],{"categories":4308},[],{"categories":4310},[277],{"categories":4312},[277],{"categories":4314},[277],{"categories":4316},[294,268],{"categories":4318},[268],{"categories":4320},[268],{"categories":4322},[268],{"categories":4324},[354],{"categories":4326},[354],{"categories":4328},[],{"categories":4330},[263],{"categories":4332},[294],{"categories":4334},[354],{"categories":4336},[354],{"categories":4338},[263],{"categories":4340},[258],{"categories":4342},[268],{"categories":4344},[277],{"categories":4346},[294],{"categories":4348},[294],{"categories":4350},[268],{"categories":4352},[277],{"categories":4354},[268],{"categories":4356},[294],{"categories":4358},[271],{"categories":4360},[],{"categories":4362},[294],{"categories":4364},[],{"categories":4366},[294],{"categories":4368},[294],{"categories":4370},[277],{"categories":4372},[],{"categories":4374},[354],{"categories":4376},[294],{"categories":4378},[268],{"categories":4380},[268],{"categories":4382},[277],{"categories":4384},[309],{"categories":4386},[309],{"categories":4388},[263],{"categories":4390},[294],{"categories":4392},[268],{"categories":4394},[],{"categories":4396},[268],{"categories":4398},[294],{"categories":4400},[263],{"categories":4402},[294],{"categories":4404},[294],{"categories":4406},[294],{"categories":4408},[268],{"categories":4410},[354],{"categories":4412},[294],{"categories":4414},[274],{"categories":4416},[294],{"categories":4418},[294],{"categories":4420},[294],{"categories":4422},[294],{"categories":4424},[],{"categories":4426},[294],{"categories":4428},[354],{"categories":4430},[274],{"categories":4432},[294],{"categories":4434},[274],{"categories":4436},[],{"categories":4438},[],{"categories":4440},[],{"categories":4442},[294],{"categories":4444},[],{"categories":4446},[],{"categories":4448},[],{"categories":4450},[],{"categories":4452},[268],{"categories":4454},[309],{"categories":4456},[268],{"categories":4458},[268],{"categories":4460},[277],{"categories":4462},[258],{"categories":4464},[294],{"categories":4466},[294],{"categories":4468},[294],{"categories":4470},[258],{"categories":4472},[309],{"categories":4474},[],{"categories":4476},[354],{"categories":4478},[271],{"categories":4480},[294],{"categories":4482},[274],{"categories":4484},[309],{"categories":4486},[309],{"categories":4488},[706],{"categories":4490},[268],{"categories":4492},[294],{"categories":4494},[294],{"categories":4496},[309],{"categories":4498},[294],{"categories":4500},[],{"categories":4502},[],{"categories":4504},[619],{"categories":4506},[274],{"categories":4508},[309],{"categories":4510},[294],{"categories":4512},[263],{"categories":4514},[309],{"categories":4516},[258],{"categories":4518},[268],{"categories":4520},[268],{"categories":4522},[263],{"categories":4524},[294],{"categories":4526},[],{"categories":4528},[],{"categories":4530},[],{"categories":4532},[294],{"categories":4534},[],{"categories":4536},[263],{"categories":4538},[],{"categories":4540},[294],{"categories":4542},[],{"categories":4544},[263],{"categories":4546},[268],{"categories":4548},[294],{"categories":4550},[619],{"categories":4552},[294],{"categories":4554},[309],{"categories":4556},[294],{"categories":4558},[309],{"categories":4560},[309],{"categories":4562},[],{"categories":4564},[],{"categories":4566},[309],{"categories":4568},[309],{"categories":4570},[309],{"categories":4572},[],{"categories":4574},[309],{"categories":4576},[268],{"categories":4578},[268],{"categories":4580},[],{"categories":4582},[294],{"categories":4584},[271],{"categories":4586},[354],{"categories":4588},[294],{"categories":4590},[],{"categories":4592},[309],{"categories":4594},[294],{"categories":4596},[706],{"categories":4598},[309],{"categories":4600},[309],{"categories":4602},[271],{"categories":4604},[277],{"categories":4606},[277],{"categories":4608},[],{"categories":4610},[277],{"categories":4612},[294],{"categories":4614},[],{"categories":4616},[],{"categories":4618},[268],{"categories":4620},[],{"categories":4622},[268],{"categories":4624},[268],{"categories":4626},[263],{"categories":4628},[294],{"categories":4630},[263],{"categories":4632},[309],{"categories":4634},[263],{"categories":4636},[277],{"categories":4638},[277],{"categories":4640},[277],{"categories":4642},[263],{"categories":4644},[294],{"categories":4646},[268],{"categories":4648},[619],{"categories":4650},[258],{"categories":4652},[619],{"categories":4654},[619],{"categories":4656},[277],{"categories":4658},[619],{"categories":4660},[619],[4662,4746,4903,5042],{"id":4663,"title":4664,"ai":4665,"body":4670,"categories":4710,"created_at":192,"date_modified":192,"description":179,"extension":193,"faq":192,"featured":194,"kicker_label":192,"meta":4711,"navigation":236,"path":4733,"published_at":4734,"question":192,"scraped_at":4735,"seo":4736,"sitemap":4737,"source_id":4738,"source_name":4739,"source_type":244,"source_url":4740,"stem":4741,"tags":4742,"thumbnail_url":192,"tldr":4743,"tweet":192,"unknown_tags":4744,"__hash__":4745},"summaries\u002Fsummaries\u002Fclaude-code-as-second-brain-video-editor-and-more-summary.md","Claude Code as Second Brain, Video Editor, and More",{"provider":7,"model":8,"input_tokens":4666,"output_tokens":4667,"processing_time_ms":4668,"cost_usd":4669},7074,1795,21006,0.00228965,{"type":14,"value":4671,"toc":4705},[4672,4676,4679,4682,4686,4689,4692,4695,4699,4702],[17,4673,4675],{"id":4674},"master-claude-code-setup-for-non-coding-workflows","Master Claude Code Setup for Non-Coding Workflows",[22,4677,4678],{},"Drive all Claude Code projects with a single claude.md file that prioritizes rules: hard non-negotiable rules first, then medium-priority, and low-priority with key references. Pair it with Obsidian's local markdown files for a second brain—Claude searches notes, answers queries, and edits\u002Fupdates them conversationally, eliminating manual digging. Only commit finalized info after discussion to avoid clutter. Install skills via npx or Claude marketplace (e.g., ad claude marketplace for plugins), select projects, run dev servers, and add API keys (Groq recommended for fast, free-tier transcription). This harness turns Claude into a day-running agent, replacing tools across workflows.",[22,4680,4681],{},"For research, embed a multi-step pipeline in claude.md: trigger on prompts to process steps in dedicated MD files (inputs, outputs, procedures, acceptance criteria). Sources\u002Fdrafts go in folders; final MD\u002FPDF exports with citations, grounding claims to prevent hallucinations—cross-verifies before drafting for credible outputs.",[17,4683,4685],{"id":4684},"create-videos-and-designs-through-prompted-iteration","Create Videos and Designs Through Prompted Iteration",[22,4687,4688],{},"Install Remotion skill (used by Anthropic's marketing for demos) to generate animated product videos: detail cuts, sequences, and assets in prompts; Claude plans, confirms, implements code for text\u002FSVG animations. Expect 20+ minutes for a 50-second clip, but it produces tailored, professional results on free setups—supply assets for enhancements beyond basics.",[22,4690,4691],{},"Anthropic's official Canvas Design skill handles posters, social posts, infographics: starts with a design philosophy MD (style, visuals), generates Python scripts for SVGs, balances compositions, and iterates on feedback (e.g., fix font sizes by reprompting—updates code and rerenders). Leverages Opus 4.7's improved SVG quality for non-UI designs.",[22,4693,4694],{},"Claude Video skill enables video watching: pass file paths\u002FURLs; it extracts frames, syncs to transcripts (Whisper\u002FGroq), and analyzes visuals\u002Faudio together. Summarizes findings with noticeable elements, outperforming transcript-only or screenshot hacks—keeps project context unlike switching to Gemini.",[17,4696,4698],{"id":4697},"consolidate-content-and-assign-specialized-roles","Consolidate Content and Assign Specialized Roles",[22,4700,4701],{},"Build a local content system querying Notion (via MCP) or NotebookLM (CLI tool for direct access, generating videos\u002Fslides\u002Fmaps\u002Fpodcasts from single sources to save tokens). Claude.md instructions route updates; query spreads across tools without consolidation overhead.",[22,4703,4704],{},"Assign folder-based roles for automation ROI: Finance manager analyzes CSVs\u002FNotion for reports\u002Fdirections\u002Fsuggestions; Teacher tracks progress\u002Fpreferences, explains concepts, quizzes from prior knowledge; Legal advisor flags issues in docs against guidelines (high\u002Fmedium priority); Data analyst processes datasets for decision reports. Scale to other roles by populating folders with data\u002Finstructions—Claude handles as specialist without coding.",{"title":179,"searchDepth":180,"depth":180,"links":4706},[4707,4708,4709],{"id":4674,"depth":180,"text":4675},{"id":4684,"depth":180,"text":4685},{"id":4697,"depth":180,"text":4698},[294],{"content_references":4712,"triage":4731},[4713,4717,4719,4721,4723,4726,4728],{"type":198,"title":4714,"url":4715,"context":4716},"SerpApi","https:\u002F\u002Fserpapi.com\u002F?utm_source=youtube&utm_campaign=ailabs_may_2026","recommended",{"type":198,"title":4718,"context":200},"Obsidian",{"type":198,"title":4720,"context":200},"Remotion",{"type":198,"title":4722,"context":200},"Claude Video",{"type":198,"title":4724,"author":4725,"context":200},"Canvas Design","Anthropic",{"type":198,"title":4727,"context":200},"NotebookLM",{"type":202,"title":4729,"url":4730,"context":200},"The Roundup","https:\u002F\u002Fwww.theroundup.so\u002F",{"relevance":233,"novelty":190,"quality":233,"actionability":233,"composite":234,"reasoning":4732},"Category: AI Automation. The article discusses practical applications of Claude Code for automating workflows and replacing traditional tools, which aligns with the audience's need for actionable AI integration. It provides specific examples of how to set up Claude Code for various tasks, making it relevant and actionable.","\u002Fsummaries\u002Fclaude-code-as-second-brain-video-editor-and-more-summary","2026-05-05 14:00:00","2026-05-05 16:04:55",{"title":4664,"description":179},{"loc":4733},"3f1d7832f2d918a5","AI LABS","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=KQDVDtklf34","summaries\u002Fclaude-code-as-second-brain-video-editor-and-more-summary",[250,248,249,251],"Use Claude Code's agent system with claude.md files and skills to replace paid tools for second brain management, video creation (Remotion takes 20+ min for 50s clips), grounded research, video analysis, design iteration, content ops, and role-based tasks like finance or teaching—all on free setups.",[251],"TYfDXkbsC0kaCCujm4y-oD71ykZG0fDUhZP8ybGyhls",{"id":4747,"title":4748,"ai":4749,"body":4754,"categories":4880,"created_at":192,"date_modified":192,"description":179,"extension":193,"faq":192,"featured":194,"kicker_label":192,"meta":4881,"navigation":236,"path":4890,"published_at":4891,"question":192,"scraped_at":4892,"seo":4893,"sitemap":4894,"source_id":4895,"source_name":4896,"source_type":244,"source_url":4897,"stem":4898,"tags":4899,"thumbnail_url":192,"tldr":4900,"tweet":192,"unknown_tags":4901,"__hash__":4902},"summaries\u002Fsummaries\u002Fgemini-api-webhooks-replace-polling-for-long-runni-summary.md","Gemini API Webhooks Replace Polling for Long-Running AI Jobs",{"provider":7,"model":8,"input_tokens":4750,"output_tokens":4751,"processing_time_ms":4752,"cost_usd":4753},8390,1366,24170,0.00185415,{"type":14,"value":4755,"toc":4875},[4756,4760,4780,4787,4791,4806,4845,4849,4861,4872],[17,4757,4759],{"id":4758},"switch-to-push-notifications-to-cut-latency-and-costs","Switch to Push Notifications to Cut Latency and Costs",[22,4761,4762,4763,4767,4768,4771,4772,4775,4776,4779],{},"Polling ",[4764,4765,4766],"code",{},"GET \u002Foperations"," wastes quota and delays detection of job completion in long-running Gemini tasks like batch prompt processing (thousands overnight), Deep Research agents, or video generation (minutes to hours). Webhooks push HTTP POST payloads to your endpoint instantly on finish, using thin payloads with pointers like ",[4764,4769,4770],{},"output_file_uri"," (e.g., ",[4764,4773,4774],{},"gs:\u002F\u002Fmy-bucket\u002Fresults.jsonl"," for batches) or ",[4764,4777,4778],{},"video_uri"," for videos. This delivers real-time updates without looping requests, ideal for agentic workflows and high-volume pipelines.",[22,4781,4782,4783,4786],{},"At-least-once delivery retries up to 24 hours with exponential backoff; deduplicate via ",[4764,4784,4785],{},"webhook-id",". Respond with 2xx immediately after signature verification, queuing heavy processing to avoid triggering retries.",[17,4788,4790],{"id":4789},"static-vs-dynamic-webhooks-for-flexible-routing","Static vs Dynamic Webhooks for Flexible Routing",[22,4792,4793,4794,4797,4798,4801,4802,4805],{},"Static webhooks register a project-level endpoint once via WebhookService API for global events like Slack alerts or DB syncs. Dynamic webhooks override per-request with ",[4764,4795,4796],{},"webhook_config"," payload, routing specific jobs (e.g., agent queues) and attaching ",[4764,4799,4800],{},"user_metadata"," like ",[4764,4803,4804],{},"{\"job_group\": \"nightly-eval\", \"priority\": \"high\"}"," for downstream fan-out without extra tracking.",[22,4807,4808,4809,4812,4813,4812,4816,4812,4819,4822,4823,4826,4827,4830,4831,4834,4835,4838,4839,4812,4842,4844],{},"Event catalog: Batch (",[4764,4810,4811],{},"batch.succeeded",", ",[4764,4814,4815],{},"batch.cancelled",[4764,4817,4818],{},"batch.expired",[4764,4820,4821],{},"batch.failed",", note ",[4764,4824,4825],{},"batch.completed"," in some docs); Interactions API (",[4764,4828,4829],{},"interaction.requires_action"," for pending function calls, ",[4764,4832,4833],{},"interaction.completed",", etc.); Video (",[4764,4836,4837],{},"video.generated"," with ",[4764,4840,4841],{},"file_id",[4764,4843,4778],{},"). Branch handlers on event type to fetch results.",[17,4846,4848],{"id":4847},"secure-with-hmacjwks-and-replay-protection","Secure with HMAC\u002FJWKS and Replay Protection",[22,4850,4851,4852,4812,4855,4812,4857,4860],{},"Adheres to Standard Webhooks spec: Verify ",[4764,4853,4854],{},"webhook-signature",[4764,4856,4785],{},[4764,4858,4859],{},"webhook-timestamp"," headers. Reject payloads >5 minutes old to block replays.",[22,4862,4863,4864,4867,4868,4871],{},"Static: HMAC with one-time shared secret (store in env vars; rotate with ",[4764,4865,4866],{},"REVOKE_PREVIOUS_SECRETS_AFTER_H24"," for 24h grace). Dynamic: JWT RS256 signatures verified against Google's JWKS at ",[4764,4869,4870],{},"https:\u002F\u002Fgenerativelanguage.googleapis.com\u002F.well-known\u002Fjwks.json","—no shared secrets needed.",[22,4873,4874],{},"Trade-offs: Thin payloads minimize bandwidth but require follow-up fetches; at-least-once risks duplicates (handle idempotency); dynamic suits per-job flexibility but needs request-level config.",{"title":179,"searchDepth":180,"depth":180,"links":4876},[4877,4878,4879],{"id":4758,"depth":180,"text":4759},{"id":4789,"depth":180,"text":4790},{"id":4847,"depth":180,"text":4848},[294],{"content_references":4882,"triage":4886},[4883],{"type":202,"title":4884,"url":4885,"context":4716},"Event-driven webhooks for developers and tools","https:\u002F\u002Fblog.google\u002Finnovation-and-ai\u002Ftechnology\u002Fdevelopers-tools\u002Fevent-driven-webhooks\u002F",{"relevance":4887,"novelty":233,"quality":233,"actionability":4887,"composite":4888,"reasoning":4889},5,4.55,"Category: AI Automation. The article provides a detailed overview of how to implement event-driven webhooks in the Gemini API, addressing a specific pain point of reducing latency and costs associated with polling. It offers concrete examples and actionable steps for integrating this feature into AI workflows, making it highly relevant and practical for developers building AI-powered products.","\u002Fsummaries\u002Fgemini-api-webhooks-replace-polling-for-long-runni-summary","2026-05-05 07:01:53","2026-05-05 16:09:53",{"title":4748,"description":179},{"loc":4890},"831bdc7485023423","MarkTechPost","https:\u002F\u002Fwww.marktechpost.com\u002F2026\u002F05\u002F05\u002Fgoogle-adds-event-driven-webhooks-to-the-gemini-api-eliminating-the-need-for-polling-in-long-running-ai-jobs\u002F","summaries\u002Fgemini-api-webhooks-replace-polling-for-long-runni-summary",[248,250,249,251],"Use Gemini API's new event-driven webhooks to get instant push notifications on batch jobs, agent interactions, and video generation completion, cutting latency and API costs from constant GET \u002Foperations polling.",[251],"3vQ09FbvJ6uufdUuc3XyZuoIf9n-sRmBwHKEa1ltkyo",{"id":4904,"title":4905,"ai":4906,"body":4911,"categories":5020,"created_at":192,"date_modified":192,"description":179,"extension":193,"faq":192,"featured":194,"kicker_label":192,"meta":5021,"navigation":236,"path":5029,"published_at":5030,"question":192,"scraped_at":5031,"seo":5032,"sitemap":5033,"source_id":5034,"source_name":5035,"source_type":244,"source_url":5036,"stem":5037,"tags":5038,"thumbnail_url":192,"tldr":5039,"tweet":192,"unknown_tags":5040,"__hash__":5041},"summaries\u002Fsummaries\u002Fpersistent-ai-stock-analyst-via-karpathy-s-llm-wik-summary.md","Persistent AI Stock Analyst via Karpathy’s LLM Wiki",{"provider":7,"model":8,"input_tokens":4907,"output_tokens":4908,"processing_time_ms":4909,"cost_usd":4910},5495,1636,20507,0.00189435,{"type":14,"value":4912,"toc":5015},[4913,4917,4924,4927,4931,4934,4978,4985,4989,4992,5012],[17,4914,4916],{"id":4915},"persistent-memory-compounds-insights-beyond-daily-scans","Persistent Memory Compounds Insights Beyond Daily Scans",[22,4918,4919,4920,4923],{},"Stateless AI agents produce mechanical watchlists without strategic depth; Karpathy’s LLM Wiki fixes this by maintaining an evolving ",[4764,4921,4922],{},"research\u002Findex.md"," file as a \"brain.\" This append-only artifact cross-links tickers and events—for example, linking Strait of Hormuz news to $VST margins via Amazon PPA deals. Setup uses Hermes Agent with custom skills, GLM-5-Turbo model, and auto-organizes content from Karpathy’s gist. Result: agent evolves from freshman intern (basic ticker lists) to analyst spotting asymmetric trades, like $LMND’s 4\u002F9 Asymmetry Score due to shrinking surprise percentage and market pricing in perfection.",[22,4925,4926],{},"Feed it your watchlist and prompts like \"hunt for asymmetric plays,\" then layer macro context: connect tickers to interest rates, hyperscaler AI CAPEX, supply chain bottlenecks. Recursive improvements prompt the agent: \"You’re an analyst for asymmetric trades... constantly improving... hunting new opportunities.\"",[17,4928,4930],{"id":4929},"multi-layer-pipeline-filters-signals-into-conviction","Multi-Layer Pipeline Filters Signals into Conviction",[22,4932,4933],{},"Run daily at 7:45 AM:",[4935,4936,4937,4944,4966,4972],"ol",{},[32,4938,4939,4943],{},[4940,4941,4942],"strong",{},"Signal Scanner",": Scrapes 24h tweets from thesis-driven accounts (e.g., @aleabitoreddit, @midascabal)—supply chain experts, not shillers.",[32,4945,4946,4949,4950,4953,4954,4957,4958,4961,4962,4965],{},[4940,4947,4948],{},"Noise Filter",": Extracts cashtags, classifies by ",[4940,4951,4952],{},"Conviction Hierarchy","—",[4940,4955,4956],{},"Conviction"," (strong thesis), ",[4940,4959,4960],{},"High Signal"," (unusual activity), ",[4940,4963,4964],{},"Watchlist"," (needs pullback\u002Fdata). Ignores \"I called this at $X\" boasts.",[32,4967,4968,4971],{},[4940,4969,4970],{},"Convergence Engine",": Flags multi-source alignment, e.g., $INTC CPU-to-GPU ratio or $SIVE InP lasers across accounts.",[32,4973,4974,4977],{},[4940,4975,4976],{},"Persistent Wiki",": Builds cross-linked research, incorporating multimodal inputs like YouTube\u002Fpodcast transcripts and new X follows (agent pushed back on @pelositracker for lacking thesis depth).",[22,4979,4980,4981,4984],{},"Expands via ",[4940,4982,4983],{},"Recursive Source Discovery",": Hunts non-shilling accounts mapping supply chains. Pressure-test stocks like $LMND yields contrarian analysis, rejecting hype.",[17,4986,4988],{"id":4987},"actionable-build-principles-for-compounding-agents","Actionable Build Principles for Compounding Agents",[22,4990,4991],{},"Ditch single-prompt tools; build stateful systems:",[29,4993,4994,5000,5006],{},[32,4995,4996,4999],{},[4940,4997,4998],{},"Create a Log",": Append-only timeline of research.",[32,5001,5002,5005],{},[4940,5003,5004],{},"Force Cross-Linking",": Explain New Ticker A’s impact on Thesis B.",[32,5007,5008,5011],{},[4940,5009,5010],{},"Define Anti-Goals",": Exclude meme accounts, lagging indicators.",[22,5013,5014],{},"Over a month, this library uncovers alpha stateless chats miss. Track evolution at @CalConviction; integrates news for strategic headlines, turning news overload into high-conviction briefings.",{"title":179,"searchDepth":180,"depth":180,"links":5016},[5017,5018,5019],{"id":4915,"depth":180,"text":4916},{"id":4929,"depth":180,"text":4930},{"id":4987,"depth":180,"text":4988},[268],{"content_references":5022,"triage":5027},[5023],{"type":202,"title":5024,"author":5025,"url":5026,"context":4716},"LLM wiki","Andrej Karpathy","https:\u002F\u002Fgist.github.com\u002Fkarpathy\u002F442a6bf555914893e9891c11519de94f",{"relevance":4887,"novelty":233,"quality":233,"actionability":4887,"composite":4888,"reasoning":5028},"Category: AI & LLMs. The article provides a detailed framework for building a persistent AI stock analyst using Karpathy’s LLM Wiki, addressing the audience's need for practical applications of AI in finance. It outlines specific steps and tools, such as the Hermes Agent and GLM-5-Turbo model, making it immediately actionable for developers looking to implement similar systems.","\u002Fsummaries\u002Fpersistent-ai-stock-analyst-via-karpathy-s-llm-wik-summary","2026-05-05 05:48:45","2026-05-05 16:09:23",{"title":4905,"description":179},{"loc":5029},"4fe19a64f863e6d1","Generative AI","https:\u002F\u002Fgenerativeai.pub\u002Fusing-karpathys-wiki-how-i-turned-an-ai-agent-into-a-stock-analyst-2261baa54795?source=rss----440100e76000---4","summaries\u002Fpersistent-ai-stock-analyst-via-karpathy-s-llm-wik-summary",[250,248,249,251],"Give AI agents persistent memory using Karpathy’s LLM Wiki to compound stock insights over time, connecting daily signals into strategic theses instead of stateless summaries.",[251],"c8neWLZswbXgOAYtg48-xDOtfDkd704tyuCNSPZ7HAk",{"id":5043,"title":5044,"ai":5045,"body":5050,"categories":5090,"created_at":192,"date_modified":192,"description":179,"extension":193,"faq":192,"featured":194,"kicker_label":192,"meta":5091,"navigation":236,"path":5106,"published_at":5107,"question":192,"scraped_at":5108,"seo":5109,"sitemap":5110,"source_id":5111,"source_name":5112,"source_type":244,"source_url":5113,"stem":5114,"tags":5115,"thumbnail_url":192,"tldr":5116,"tweet":192,"unknown_tags":5117,"__hash__":5118},"summaries\u002Fsummaries\u002Fcut-ai-agent-costs-70-with-manifest-router-summary.md","Cut AI Agent Costs 70% with Manifest Router",{"provider":7,"model":8,"input_tokens":5046,"output_tokens":5047,"processing_time_ms":5048,"cost_usd":5049},5484,1791,20864,0.0019698,{"type":14,"value":5051,"toc":5084},[5052,5056,5059,5063,5070,5074,5077,5081],[17,5053,5055],{"id":5054},"why-ai-agents-rack-up-3-5x-unnecessary-llm-costs","Why AI Agents Rack Up 3-5x Unnecessary LLM Costs",[22,5057,5058],{},"AI agents make thousands of simple calls—like tool selection, input classification, or chunk summarization—that don't require premium models like GPT-4o or Claude Opus. Yet default setups route everything to top-tier models, inflating bills 3-5x. Manual fixes like if-else routing break with prompt changes, while alternatives add fees, latency, or manual management. Manifest solves this by intercepting requests as a drop-in router, scoring them deterministically across 23 dimensions (no extra LLM calls), and sending to the cheapest model that passes—saving up to 70% on tokens for identical outputs.",[17,5060,5062],{"id":5061},"one-endpoint-setup-delivers-instant-savings-and-observability","One-Endpoint Setup Delivers Instant Savings and Observability",[22,5064,5065,5066,5069],{},"Spin up Manifest via ",[4764,5067,5068],{},"docker compose up",", add your API keys (OpenAI, Anthropic, Ollama), and redirect your agent's OpenAI endpoint to Manifest's single URL—no agent rewrites needed. It supports 600+ models across providers, mixes cloud\u002Fsubscription\u002Flocal (e.g., Ollama, Llama.cpp), and handles multi-agent workflows with OpenClaw plugins. Real-time dashboard tracks per-agent costs, token usage, and budgets; fallbacks keep agents running on failures. In a live Python agent demo, simple tasks routed to cheaper models cut costs 70% while running locally—prompts never leave your machine, adding zero latency (\u003C2ms routing).",[17,5071,5073],{"id":5072},"outperforms-openrouter-and-litellm-for-agent-workloads","Outperforms OpenRouter and LiteLLM for Agent Workloads",[22,5075,5076],{},"OpenRouter offers a cloud endpoint but charges fees and exposes prompts externally. LiteLLM unifies interfaces but requires manual routing rules or failovers. Manifest runs fully self-hosted for privacy\u002Fcost, automates intelligent routing (beyond rules), leverages existing subscriptions (no per-token double-pay), and focuses on agents' high-volume small calls. Use OpenRouter for simple access, LiteLLM for control, but Manifest for production agents where small-call volume drives bills.",[17,5078,5080],{"id":5079},"key-trade-offs-big-wins-with-minor-tweaks-needed","Key Trade-offs: Big Wins with Minor Tweaks Needed",[22,5082,5083],{},"Savings shine on subscription plans and frequent agents; dashboard reveals exact spend per task\u002Fmodel. Overrides handle opinionated scoring (it may pick cheaper-than-expected models). Setup involves key\u002Fprovider wiring (dead simple via Docker) but lacks some SDKs\u002Fstorage. Ideal for daily agent runners, high small-call volumes, or local-prompt needs—skip if zero-setup is mandatory.",{"title":179,"searchDepth":180,"depth":180,"links":5085},[5086,5087,5088,5089],{"id":5054,"depth":180,"text":5055},{"id":5061,"depth":180,"text":5062},{"id":5072,"depth":180,"text":5073},{"id":5079,"depth":180,"text":5080},[294],{"content_references":5092,"triage":5104},[5093,5096,5098,5100,5102],{"type":198,"title":5094,"url":5095,"context":4716},"Manifest","https:\u002F\u002Fgithub.com\u002Fmnfst\u002Fmanifest",{"type":198,"title":5094,"url":5097,"context":4716},"https:\u002F\u002Fmanifest.build\u002F",{"type":198,"title":5099,"context":200},"OpenRouter",{"type":198,"title":5101,"context":200},"LiteLLM",{"type":198,"title":5103,"context":200},"Ollama",{"relevance":4887,"novelty":233,"quality":233,"actionability":4887,"composite":4888,"reasoning":5105},"Category: AI Automation. The article provides a detailed explanation of how Manifest Router can significantly reduce costs associated with AI agents by intelligently routing calls to cheaper models, addressing a key pain point for product builders. It includes specific implementation steps, making it immediately actionable for developers looking to optimize their AI workflows.","\u002Fsummaries\u002Fcut-ai-agent-costs-70-with-manifest-router-summary","2026-05-03 12:00:30","2026-05-03 16:47:08",{"title":5044,"description":179},{"loc":5106},"f0fb9c46ae5ee271","Better Stack","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=BXme4u4uoyA","summaries\u002Fcut-ai-agent-costs-70-with-manifest-router-summary",[248,250,249,251],"Manifest auto-routes agent LLM calls to the cheapest capable model using 23-dimension scoring in under 2ms, slashing costs 70% without code changes or added latency—self-hosted for privacy.",[251],"LmZo8ELFgArEhv4UYm_dim9vbzyM_0jgIVD6Q5teGho"]