Achieve Zero-Maintenance Daily Tech Overviews in 3 Minutes

Replace hours of filtering tech news with an automated pipeline that scrapes trending GitHub repos, Hugging Face models, and Product Hunt posts daily, then distills them into plain-English summaries. The system generates a 2-minute overview.md for quick skims and detailed Markdown reports per source, pushed to Telegram if configured. Running serverlessly on GitHub Actions for a year costs $3, with no server upkeep—proven stable for 10+ days.

Start by securing access tokens for GitHub, Hugging Face, Product Hunt, and an OpenRouter API key (use paid low-cost models; free ones fail on GitHub Actions due to no Time-to-First-Token response). Store them as environment variables to avoid hardcoding. This setup acts as "mining permits" and "ignition key" for the pipeline.

Scrape Deep, Clean Aggressively for High-Quality Inputs

Deploy spiders to fetch surface data (titles, summaries) then dive for full content: GitHub READMEs, HF Model Cards, PH post bodies and descriptions. Aggregate multi-source raw data in the core module, applying utils cleaning: filter noise, extract keys, truncate long texts. This preliminary screening discards low-value items, ensuring efficient AI processing without overload.

Visualize as mining trucks loading surface ores and deep veins, sorted on a conveyor to prioritize high-gold-content material—boosting pipeline stability for massive daily pulls.

Custom Prompts Unlock Precise AI Noise Reduction

Feed cleaned data into OpenRouter LLMs via source-specific prompt templates (GitHub, HF, PH). These burn away marketing jargon, code clutter, and fluff, outputting structured "information gold"—exactly what each project/model/product is in plain English.

Trade-off: GitHub Actions timeouts demand paid models (e.g., low-cost options succeed where free fail, as shown in TTFT tests). Result: Tireless AI handles root-cause filtering, freeing you from aggregators or feeds.

Generate and Archive Markdown Reports Automatically

Pipeline outputs batch-organized Markdown to reports/ dir: global overview.md plus source-specific details. Telegram integration delivers to your phone. Full repo at https://github.com/JunstinLee/TechDistill—fork and configure env vars to run your own, quitting doomscrolling for morning coffee scans.