Vo

Void - open source Cursor AI code editor

Hacker News

Void - open source Cursor AI code editor

Hey HN, we're Andrew and Mat and we're building Void, an open source Cursor alternative. Our editor is an open-source VSCode fork. Our primary goal is to create a fully-featured AI editor where you can keep your data completely private. Going open source is really important because it let us take the logic that would normally live on a server, like prompt building or message handling, and run it on your local machine instead. This way you can do things like self-host Llama 3.1 or Gemma and never have your data leave your computer. You can also just send your prompts directly to foundational models (GPT4o, Claude) without going through a middleman API. Another exciting part of the project is that we have full control over the IDE, and can build our own native features. Normally if you want to build an AI tool you have to make the same chat UI, history management, filesystem indexing, LSP, VSCode integrations, etc. We think we can standardize all these into a nice native API you can just plug into instead. It would be awesome to create a centralized place that lets people build advanced open source tools like AI edits across many files, and even agents, in an IDE we're all used to. Let us know what you think of the idea. We've really enjoyed working on it and are super excited to see where it goes :)

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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, agents, agent · Missing: macos, apple, agentic
99%99% 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
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, open source, filesystem · Missing: https docs, just released, exist
82%82% 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: way · Missing: mobile apps, ios, personal
62%62% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: host · 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
20%20% 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
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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