Buska
Turn social media buying signals into pipeline
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Buska - Turn social media buying signals into pipeline

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Buska monitors Twitter, Reddit, LinkedIn and 30+ platforms for buying signals in real time. Every mention is AI-scored from 0 to 100 based on buying intent and matched to your ICP. You only see the leads worth your time. When a hot lead surfaces, Reply Studio generates a contextual reply in seconds. Export directly to HubSpot, Salesforce, Lemlist, or any tool via webhook. 2,000+ sales and growth teams. 7-day free trial, no credit card.

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Maker
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Hey Product Hunt 👋 Three years ago, I launched the very first version of Buska quietly, on the side, while still employed (with a friend). It was a basic social listening tool: type a keyword, get mentions, see if people were talking about your brand. Useful. But not exciting. I always felt like the category was broken. Every tool in the space was built to tell you what people say about you. Nobody had flipped it: what if you could find people who need what you sell, before they ever heard of you? So I rebuilt everything from scratch. Not just the UI. The entire detection engine. The core model. The way we read a post and understand what's actually happening behind the words. We don't do keyword matching. We do intent detection. There's a massive difference between someone mentioning "social listening" and someone posting "I need a tool that catches buying signals on social, budget approved, any recommendations?" The first is noise. The second is a prospect with their hand raised. Buska finds the second one, scores it 0-100, matches it against your ICP, and puts it in your inbox. It took me 2.5 years of iteration, one failed launch, a 30% churn rate that forced me back to the drawing board, and one month of intense rebuilding to get to this. Since relaunching the detection core on June 1st, churn dropped to 8% and users are coming back 7x more often. I'm genuinely proud of what this has become. If you're in sales, growth, or run a B2B product, I'd love for you to try it and tell me what you think. Happy to answer every single comment today. Let's go 🚀

the intent-detection pitch is clever, but the part that gives me pause is the Reply Studio step. someone posts a public complaint or a "does anyone know a tool for X" question, never talking to your company, and now a sales rep is dropping a contextual reply into that thread within seconds of the AI scoring them. genuine question, not a gotcha: have you had people react badly to that, like calling it out as "why is a bot replying to my post," and if so how do you coach customers on where the line is between responding to a public post and it feeling like you're being watched?

Maker

 Really good question, and honestly one we think about a lot.

Yes, it happens, if the reply reads like a canned pitch or drops in 10 seconds flat, people notice and it can backfire hard. The line seems to be less about "AI vs human" and more about relevance and pacing: a reply that actually answers the specific problem someone raised, phrased like a person who read the thread, lands fine even if it came from a scoring system upstream. A generic "check out our tool!" dropped instantly does not.

So the coaching we give customers is basically: use the scoring to find the right conversations, but slow down before replying, add something genuinely useful or specific to that post, and skip the ones where it would feel intrusive (personal venting, sensitive topics, etc). It's a sourcing tool, not an auto-reply bot, the human judgment on whether and how to engage stays with the rep.

Curious if you've seen tools handle this well elsewhere, always looking to improve on that part.