Dyad – free, local, open-source AI app builder (v0/lovable alternative)

Hacker News

Hi HN - I'm excited to share a free, local, open-source AI app builder that I created. You can see what it looks like and download it here: https://dyad.sh/ It's open-source and on GitHub: https://github.com/dyad-sh/dyad If you've used one of the popular AI app builders like v0, lovable and bolt, but want something more flexible and without the lock-in, I think you'll like dyad. note: dyad isn't an IDE (and not another VS code fork :) and instead is focused on people, esp. non-coders, who want an all-in-one tool to build+preview web apps in a simple intuitive desktop UI. Here's a few things that makes it different: - Runs locally - Dyad runs entirely on your computer, making it fast and frictionless. Because your code lives locally, you can easily switch back and forth between Dyad and your IDE like Cursor, etc. - Run local models - I've just added Ollama integration ( https://www.dyad.sh/docs/guides/ai-models/local-models ), which lets you build with your favorite local LLMs. - Free - Dyad is free and bring-your-own API key. This means you can use your free Gemini API key and get 25 free messages/day with Gemini Pro 2.5! I’d love any feedback. Thanks!

Visit product View on Hacker NewsApr 30, 2025

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

98%98% 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, gemini · Missing: supports, reddit linkedin, podcasting

87%87% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

70%70% 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: apps · Missing: mobile apps, ios, personal

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

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

42%42% 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

16%16% 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.

Incorrect prediction on native model

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