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Chord: Clawdbot alternative with a security layer

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Chord: Clawdbot alternative with a security layer

Hey HN, I built this because I liked the idea of agents controlling a computer (like Clawdbot), but I was uncomfortable giving them unrestricted shell access. So I build Chord, it uses the same underlying agent framework as Clawdbot, so it can do most of the same jobs. The key difference is that I added a security layer. Commands are analyzed by an AI before execution. This does use extra tokens, but you can run the analysis with cheap models (e.g. Gemini Flash) to keep costs low. The security layer can block risky commands and provides a security audit log of everything the agent tries to do. Right now, Chord only supports Telegram as the control interface. I’ve built all the core parts, and I’ll add smaller features next. I’d really appreciate any feedback.

Visit productView on Hacker NewsJan 26, 2026
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Product HuntOn track for Day 1 leaderboard · Strong signals: agents, agent, model · Missing: mac, macos, cursor
92%92% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Strong signals: supports, gemini · Missing: reddit linkedin, podcasting, created
83%83% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Strong signals: interface · Missing: plus, platform, intuitive
50%50% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
41%41% 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
35%35% 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
18%18% 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
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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