Dyad, local, open-source Lovable alternative (Electron desktop app)

Hacker News

Hi HN! I left Google earlier this year and created Dyad, a local, open-source AI app builder made with Electron. The motivation: I tried one of the popular cloud-based AI app builders, but when I pulled down the app to run locally and debug in Cursor, it just didn’t work. So I created Dyad, an app builder that runs fully on your computer, making it easy to switch between Dyad and coding tools like Cursor or Claude Code. Source code: https://github.com/dyad-sh/dyad/ Download (free, no sign-up): https://www.dyad.sh/ I've gotten questions about how it works under the hood so I wrote an architecture doc explaining how it does tool calling using XML tags, etc: https://github.com/dyad-sh/dyad/blob/main/docs/architecture.... Let me know what you think and happy to answer questions about building an Electron app, etc!

Visit product View on Hacker NewsSep 18, 2025

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28points

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

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 · Strong signals: created · Missing: supports, reddit linkedin, podcasting

76%76% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

51%51% 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 · Strong signals: builder · Missing: plus, platform, intuitive

36%36% 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

15%15% 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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