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Naiou – an agent that can only answer yes or no to your query

Hacker News

Naiou – an agent that can only answer yes or no to your query

Visuals are arguably the most interesting part, demo in action here: https://www.youtube.com/watch?v=bLImeRP94OY This is just a fun side project, but it is still a fully functional agent with read-only access to your system (no web tools, to avoid exfill). It can explore whatever folder you start it in and then answer you yes or no for your question: "Is code ready for release?", "Read my notes, should I buy a GPU?", or some less useful ones, of course. Built with Bun/OpenTUI.

Visit product View on Hacker NewsMay 26, 2026

Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

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AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntUnlikely to reach the leaderboard · Strong signals: agent, visual, notes · Missing: mac, agents, macos

40%40% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

37%37% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

36%36% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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