Lovable
Build apps and websites by chatting with AI, in multiplayer
In plain words
Lovable is an AI full-stack engineer that helps developers ship applications with authentication, data storage, and AI features significantly faster than traditional coding. It offers no vendor lock-in, integrates with GitHub, and supports one-click deployment. The tool is designed for developers seeking to accelerate their development workflow across design, backend, and deployment phases.
written from the facts on this page · September 2026
From the sources
GPT Engineer got 50,000+ users in 140 countries and 5/5 stars in 2024. Now we launch Lovable: the world's first AI Full Stack Engineer. Ship apps with auth, data storage, and AI - 20x faster than writing code. No lock-in, GitHub sync, 1-click deploy.
Does a similar job
all alternatives →
Lovable mobile appApr 2026 · apps.apple.com · ▲325Your ideas don't wait for you to sit down at a desk
- AAAn AI that reliably builds full-stack apps by preventing LLM mistakes2024 · lovable.dev · ▲32
Hey HN! Previous CERN physicist turned hacker here. We've developed a way to make AI coding actually work by systematically identifying and fixing places where LLMs typically fail in full-stack development. Today we're launching as Lovable (previously gptengineer.app) since it's such a big change. The problem? AI writing code typically make small mistakes and then get stuck. Those who tried know the frustration. We fixed most of this by mapping out where LLMs fail in full-stack dev and engineering around those pitfalls with prompt chains. Thanks to this, in all comparisons I found with: v0,…
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 19d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com
Launched alongside, November 2024
the whole month →
- IB
I wasn't quite sure if this qualified as "Show HN" given you can't really download it and try it out. However, dang said[0]: > If it's hardware or something that's not so easy to try out over the internet, find a different way to show how it actually works—a video, for example, or a detailed post with photos. Hopefully I did that? Additionally, I've put code and a detailed guide for the netboot computer management setup on GitHub: https://github.com/kentonv/lanparty Anyway, if this shouldn't have been Show HN, I apologize! [0]…
Dev tools · 2024 · lanparty.house
