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Trust scores, cryptographic proof, and risk assessment for AI agents.Open
Alex Garden🛠️ 1 toolFeb 24, 2026@MnemomWe built Mnemom because we were shipping AI agents into production and couldn't answer a basic question: how do you prove this thing is doing what you told it to? Not monitor. Prove. So we built the proof layer. Cryptographic attestations, trust scores, risk assessment, containment — everything you need to deploy agents you can actually stand behind. It's free to start and open source. We'd love to hear what you think - new features shipping daily. -
I was part of the beta trials and TidyDocs has made it so much easier to manage my receipts and invoices.
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OpenI tested the product on my own idea and was really satisfied with the result. The analysis feels structured, professional, and much more grounded than a typical LLM chat. It helped me see both the strengths and weak points of the idea and made me want to run it again with a more thoughtful input. I also liked the detailed AI analysis logging, the debate flow, and the potential/readiness matrix. Even after one run, the product already feels valuable for a founder. With deeper UX/UI and technical development, I can see strong potential in it.
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Try this tool you never regret
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AI research finds the mispriced Kalshi bets before you wake upOpen - Sponsor
GitLab Transcend - Intelligent orchestration
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OtterQuant provides natural language stock screening, AI analysis and alternative market data like congress trade tracking.
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Receive daily AI portfolio updates over the phoneOpen
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Really interesting, user friendly and useful tool that saves a lot of time.
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Checked it out. On first glance, it appears to be just like any other stock analysis tool. After fiddling with it for several minutes, there seems to be nothing indicating that it uses AI.

