I built an open source, code-first Intercom alternative

Hacker News

I spent the last 3 months working on an code-first Intercom alternative. I think with AI, smaller teams will be handling bigger loads of customers. Each product being different, each support should be as well, or at least adapted. Support should expendable, living in your codebase, easily testable and changeable. Code first means your LLMs can update, upgrade and help you with your support too. It comes as a NPM package, lives in your React code and soon, even your AI agents tools will be centralised with the rest of your code. Of course it comes with a beautiful dashboard from where you can talk with your visitors and monitor everything in real-time. Curious to get your feedbacks on that?

Visit product View on Hacker NewsNov 26, 2025

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Launch Intel predictions

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

96%96% 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

84%84% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: open source, io · Missing: https docs, excited, just released

66%66% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRFits verified-revenue profile · Strong signals: month · Missing: mobile apps, ios, personal

51%51% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

25%25% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

23%23% 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

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

Incorrect prediction on native model

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