Void, an open-source Cursor/GitHub Copilot alternative

Hacker News

Hey HN, I'm Andrew, one of the creators of Void. I made this open source version of Cursor where you can get all of Cursor's core features but in a fully-customizable IDE (ctrl+k, ctrl+L). We love Cursor but there are so many other features we want to build, like allowing AI to edit multiple files at once, or giving AI better understanding of your file system. Void is the open-source, fully customizable tool we've been wanting. The hard part: we're building Void as a fork of vscode. The repo has great documentation for extensions, but going deeper gets pretty involved. All of the code is OOP-based, and they mount DOM nodes the old-school way (which is what React was supposed to solve..). So adding new UI features isn't exactly trivial. Microsoft also made its extension marketplace closed-source so we (and Cursor) have to hack our way through it. One thing we're excited about is refactoring and creating docs so that it's much easier for anyone to contribute. The other benefit of open source is we don't need to hide how our prompts are built, so we can transfer the private API logic that Cursor has right onto your local machine. This lets you host a model on-prem and have your data stay completely private. It also means you can go directly to LLM providers (OpenAI, Anthropic) instead of going through us as a middleman. There's still a lot to build, and full disclosure, we are very early stage. But we're super excited about building and have a working prototype that we're quickly adding features to. Let us know if there's anything you want to see in a Cursor-style editor. Or feel free to shoot us a pull request. Cheers!

Visit product View on Hacker NewsSep 17, 2024

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

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.

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

80%80% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

80%80% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal

45%45% 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

28%28% 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.

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