AIHOT

If you already track AI news manually across X, official blogs, Reddit, and Hacker News, AIHOT is worth trying. If you want a general web search engine, a deep research agent, or a full enterprise intelligence platform, it is not that; a better analogy is an AI-vertical news terminal with an AI filtering and clustering layer. The evidence supports a clear product focus on AI information curation, but not broad proof for every industry or heavy team workflows.

Its practical value is centralizing many AI sources into one stream, then cleaning, structuring, pre-filtering, selecting, clustering, and displaying them. The founder publicly mentioned 168 curated sources at launch, and later described hundreds of sources with roughly 5-minute crawling cycles, plus a website, Skill, RSS, and API. Third-party posts repeatedly say it is not just RSS scraping and that it adds recommendation reasons, making it useful for AI daily digests and first-hand update tracking. “600k MAU” and repost volume are heat signals, not capability proof; the stronger evidence comes from the founder’s process disclosures, update-log mentions, and posts about clustering and annotation work.