Needle - Find the right people in the noise
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Needle - Find the right people in the noise through intelligent social media analysis.
In a world of endless social media noise, finding meaningful connections is like finding a needle in a haystack. Needle helps you cut through the clutter.
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Hi Product Hunt! 👋
I’m Vaibhav, the maker of Needle.
I built this because I was tired of launching things into the void and waiting weeks (or never) to hear what users actually thought.
Designed to help people validate their startup ideas and identify potential early users by surfacing real conversations around relevant keywords and pain points. No panels, no guesswork, no endless surveys — just raw insights from people who actually match your user base.
It’s been super exciting building this, and I’d love to hear what you think. Happy to answer questions or just chat about startup feedback loops! 🙌
Thanks for checking it out 💛
Super timely tool. I’m helping an open-source dev project get its first 100 GitHub stars and our biggest challenge is finding engineers complaining about the exact problem we solve (debugging React Native builds) across different languages. Do you handle non-English queries yet? For example, “errores de compilación React Native” in Spanish. Would be huge for us since LATAM dev forums are loud. If that’s on the roadmap, any ETA?
Also small suggestion: a one-click export to CSV would make outreach campaigns so much easier.
@sidraarifali Hi, thank you for checking it out! We have added the export to CSV, and its LIVE!
For now we support search based on keywords - irrespective of language, tho the relevance might be inappropriate for any other language except English.
We will soon be adding support for query based search, and not just the keywords!
Thank you for the feedback! I appreciate it!
@sidraarifali Hey! Multi word keyword search is LIVE along with the support for query mode (in BETA)!
We will soon be working on adding multi lingual support!
Please do give it a look, and let us know of any feedback or suggestion! Thank you!