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Curated AI safety news and research tracker

Build a curated newsletter or dashboard that monitors AI safety news, research papers, and policy developments, aggregating sources like arXiv, lab blogs, and regulatory filings into a daily or weekly digest for AI safety researchers, policy teams, and compliance officers at AI companies. Monetize via a paid tier with search, alerts, and API access for teams tracking specific labs or topics.

via GitHub
Original post

What to build

A curated AI safety news and research dashboard/newsletter for AI safety researchers, policy staff, and compliance teams: an automated scraper that pulls from arXiv, lab blogs (OpenAI, Anthropic, DeepMind, etc.), and regulatory filings, summarizes them with an LLM, and ships a daily/weekly digest plus a searchable archive.

An open-source aggregator (AISafetyHot-Hub) already demonstrates demand for a single feed of AI safety news and research, but the real opportunity is layering paid search, alerts, and API access on top of free aggregation to serve teams who need to track specific labs or topics continuously.

Demand

AI safety researchers, policy teams, and compliance officers at AI labs and regulators increasingly need to track fast-moving lab announcements, arXiv papers, and regulatory filings, and the existing free aggregator's traction shows people want this consolidated rather than hunting across dozens of sources.

  • GitHub trending — wuyoscar/AISafetyHot-HubProduct

    1238 GitHub stars for 'Safety News & Research Monitor' with a live site at aisafetyhot.com, indicating high engagement at the source for an automated AI safety news/research aggregator.

  • GitHub repository wuyoscar/AISafetyHot-HubProduct

    Existing open-source project with a working live implementation, confirming the aggregation use case is validated enough for someone to build and ship it already.

Stack

  • arXiv API
  • RSS/Atom feed parsing
  • GitHub Actions (scheduled cron scraping)
  • OpenAI API (summarization/classification)
  • Postgres / Supabase
  • Resend or Beehiiv (newsletter delivery)

Solo + AI difficulty

The scraping, summarization, and digest-generation pipeline is easy to build solo with AI assistance in a few days to two weeks since the sources (arXiv, lab blogs, RSS) are well-structured and public; the hard part is building genuinely differentiated curation or analysis (not just re-posting headlines) and getting a niche audience to pay instead of using free alternatives like Import AI.

Entry threshold
Low barrier: one person can scrape and summarize public sources with AI and ship an MVP in days; monetization and retention take longer to prove since this is a crowded aggregator niche with many free alternatives.
Window
3-6 months

Where to find first users

  • LessWrong and the EA Forum (core AI safety community hubs)
  • r/ControlProblem and r/MachineLearning
  • AI safety Slack/Discord communities and mailing lists
  • Hacker News launch post
  • Twitter/X accounts of AI safety researchers and policy staff

Competitors

Counter-signals & risks

  • No historical match and a low score (0.45) suggest weak validation signal or limited traction evidence for this opportunity

  • The niche audience (AI safety researchers, policy teams, compliance officers) may be too small to sustain a paid-tier SaaS business, especially if free alternatives (e.g., existing newsletters like Import AI, ChinAI, or lab-run trackers) already serve this audience

  • Aggregation-only products face low differentiation and retention risk since underlying sources (arXiv, lab blogs, regulators) are freely accessible, making it hard to justify a paid subscription without unique analysis or proprietary data

Original title: wuyoscar/AISafetyHot-Hub: Safety News & Research Monitor. https://aisafetyhot.com

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Curated AI safety news and research tracker — Nichr