I Built YA Copilot – An Open-Source Alternative to GitHub Copilot

Hacker News

Hey HN, I’m excited to share YA Copilot (Yet Another Copilot), an open-source VSCode extension I built as an alternative to GitHub Copilot. It’s powered by Anthropic's AI models (like Claude), providing smart code completions and context-aware assistance while keeping full transparency and customizability for developers. Features: Integration with Anthropic AI models (Claude 3.5 Sonnet, Claude 3.0 Opus, etc.) Configurable settings (API key, max tokens, and more) Context-aware prompts based on the current file/project structure Debug mode for transparency (view the exact prompts sent to AI) I built it because I wanted a customizable AI assistant that gives developers more control over their coding workflow while staying open-source. Check out the project on GitHub: https://github.com/chihebnabil/ya-copilot I’d love to hear your feedback and welcome any contributions! Thanks for reading, and happy coding!

Visit product View on Hacker NewsOct 14, 2024

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

97%97% 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

71%71% 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, io · Missing: https docs, just released, exist

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

nativeThis product was originally launched on this platform.

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

40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

32%32% 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 · Strong signals: smart · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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