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[ARTICLE · art-79871] src=techno-neighbour.github.io ↗ pub= topic=developer-tools verified=true sentiment=↑ positive

Show HN: Focal Harvest – local web research and OSINT pipeline

Focal Harvest, a new open-source Python CLI tool, automates web research and OSINT collection by querying search engines, scraping pages, and synthesizing findings into Markdown reports with multi-LLM failover across Gemini, OpenAI, and Claude. It supports scheduled monitoring of 17+ platforms including Reddit, Hacker News, GitHub, and arXiv, with Discord or Telegram alerts, while keeping all data local as plain Markdown and JSON. The tool installs under 5.2 MB, starts in under 0.15 seconds, and uses less than 85 MB RAM, with no GPU, no local AI downloads, and no SQL databases.

read1 min views1 publishedJul 30, 2026
Show HN: Focal Harvest – local web research and OSINT pipeline
Image: source

focal-harvest — python main.py

Python · CLI · Zero-Config

Skip the tabs.

Focal Harvest automates the manual workflow of querying search engines, scraping target pages, and synthesizing findings — with a zero-config offline fallback for keyless environments.

Research Pipeline

Turn 20 browser tabs into one command. #

Query search engines, scrape and clean target pages in parallel, and synthesize findings into a structured Markdown report — with multi-LLM failover across Gemini, OpenAI, and Claude.

Get started → OSINT Collection

Monitor 17+ platforms on a schedule. #

Schedule continuous sweeps across Reddit, Hacker News, GitHub, arXiv, and more. Get Discord or Telegram alerts when something new surfaces. All data stays on your filesystem.

See OSINT workflows → < 5.2 MBInstall size

< 0.15sCold startup

< 85 MBRAM usage

17+Platform plugins

Five things Focal Harvest will never do #

  • No bloat — installs under 5 MB, ready in seconds
  • No web frontends — runs entirely inside your terminal
  • No GPU — runs comfortably on low-end student laptops
  • No local AI downloads — remote APIs only, no Ollama or Llama
  • No SQL databases — all data saved as plain Markdown and JSON
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