Bodhi App – Bring your own AI model to any web app

Hacker News

Bodhi Chat is a demo chat app that connects to Bodhi App running locally on your machine. The connection to Bodhi App is completely secure and backed by OAuth 2.1 PKCE standards. We also have a built-in Exa web — so the LLM can search the web during conversations if required. The complete setup is completely secured by OAuth authentication/authorization, and no access is allowed unless user consents to it. Links: - Demo: https://bodhiapps.github.io/chat/ - Bodhi App repo: https://github.com/BodhiSearch/BodhiApp - Developer waitlist: https://developer.getbodhi.app If you want to build your own Bodhi-powered app, join the developer waitlist. We're working with early developers to refine the SDK.

Visit product View on Hacker NewsJan 28, 2026

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Actual performance

6points

Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, model, apps · Missing: agents, macos, agent

84%84% 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 · Missing: supports, reddit linkedin, podcasting

61%61% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

48%48% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

34%34% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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