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Ismail Yağcıleft a comment
✨ We built this to solve our own pain during sprint planning we were tired of jumping back and forth to Jira just to check details. Now everything’s right where it should be, and it feels so much smoother! 😄🚀
StoryestReal-time sprint planning made seamless for teams
StoryEst is a real-time, collaborative agile estimation tool with Jira integration. Teams can plan faster, vote on story points, manage sessions, and soon use AI-powered estimation for smarter, bias-free sprint planning.
StoryestReal-time sprint planning made seamless for teams
RAG fails with weak algorithms, wasted tokens, and security flaws. SnakeQuery introduces a new paradigm — not an alternative — powered by the VEX algorithm for secure, mathematically optimized, and direct big data extraction across LLM-scale computation.
Snake QueryPutting RAG fans in their place. Big data, get in. 😎🔥
Ismail Yağcıleft a comment
🚀 Hey Product Hunt! We’re excited to share Snake Query with you today 🐍 Snake Query is a new query paradigm that makes working with large-scale data fast, secure, and limitless going beyond the boundaries of traditional RAG and dump-based approaches. 💡 Key Highlights Unlimited Data Processing — Handle millions of records with no token limits. Zero-Knowledge Security — Your data is never shared...
Snake QueryPutting RAG fans in their place. Big data, get in. 😎🔥
Ismail Yağcıleft a comment
Congrats on the launch 👏. Is there a roadmap for exposing an API layer for developers?
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Ismail Yağcıleft a comment
Nice product idea 👏. However, instead of using a Google Form, I would have expected an authentication flow.
AI UserAI users that test your app and automate QA
Ismail Yağcıleft a comment
Congrats on the launch 👏. One suggestion: instead of asking users to manually provide an access token in the Integrations & Sources section for GitHub, it would be better to retrieve the token automatically via the GitHub OAuth flow. This would both improve security and provide a smoother developer experience.
TraceRoot.AIFix bugs faster with open source, AI native observability