Launched this week

AxiomOS
AxiomOS — Crypto intelligence & risk monitoring platform
7 followers
AxiomOS — Crypto intelligence & risk monitoring platform
7 followers
Hey Product Hunt! I built AxiomOS because staying updated in crypto became overwhelming. Regulations change, exchanges evolve, projects move fast, and market risks appear across hundreds of sources. AxiomOS transforms this noise into structured intelligence: • Global crypto regulation tracking • Exchange & project monitoring • Prediction market insights • AI-powered risk analysis • Real-time Telegram alerts This is our first public launch. I’d love to hear your feedback and ideas!



One thing that would really level this up is a customizable risk dashboard where I can set thresholds for specific assets or jurisdictions and get a single daily summary instead of constant alerts. Scrolling through dozens of Telegram pings gets noisy fast, and a focused morning brief would make the signal to noise way better.
@rza7cdr Thanks for the thoughtful feedback! This is actually a great direction. Right now AxiomOS focuses on filtering crypto noise into structured risk signals, but personalized monitoring is the natural next step.
We're considering adding customizable watchlists with asset/jurisdiction thresholds and personalized daily intelligence briefs, so users can focus only on the risks that matter to them. Appreciate the idea!
Honestly the regulation tracking alone makes it worth checking out, I was surprised how clean it pulls everything together. The Telegram alerts feel genuinely useful for keeping up without doom scrolling X all day.
@sedefreyha51464 Appreciate it! Regulation tracking was actually one of the main reasons we built AxiomOS. The crypto space changes globally every day, and manually following every jurisdiction became impossible.
Looks really useful for cutting through crypto noise. The regulation tracking alone saved me some manual digging, and the AI risk summaries feel like a smart angle to build on.
@yusufjqnq Thanks! That was exactly the problem we wanted to solve — reducing the signal-to-noise ratio in crypto intelligence.