This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Cnvrted scrapes the open internet in real time, across every platform where buyers actually talk, to find companies signalling they need what you sell. It scores them, builds your target list and drafts the outreach, all run by ORKA, your AI sales agent.
Hey Product Hunt 👋
I'm Dhruv, one of the founders of Cnvrted.
Every sales tool I tried gave me the same thing: a list of names that matched a filter. Job title, company size, region. None of them could tell me the one thing that actually matters — is this company looking for what I sell right now.
So we built Cnvrted. It scrapes the open internet continuously, across every platform where buyers actually talk, and pulls out real buying signals: a founder complaining about their current vendor, a team posting a role that implies a new stack, a company announcing an expansion. It scores those signals against your ICP, builds your target list, and ORKA (our in-product agent) drafts the outreach and manages the pipeline through to close.
The bet is simple: intent doesn't live in a database you can buy. It lives out on the open web, in public, and it goes stale in days. So we go get it.
Built over the last month by three of us in Bengaluru. It's live today and I'd genuinely rather have hard feedback than upvotes.
Two things I'd love your take on:
— If you do outbound: which signal actually makes you pick up a lead? We want to weight for the real ones, not the noisy ones.
— Is "signal-based outbound" a category you'd switch to, or a feature you'd expect your CRM to ship?
I'll be in the comments all day.
I'm Krsna, built the signal intelligence layer and ORKA on this. Dhruv asked the product questions, I'll add the technical one: what does a real buying signal actually look like in the wild?
Turns out it's messy. A frustrated tweet, a niche subreddit post, a job description buried in the requirements. Getting the model to separate genuine intent from background noise was the hardest engineering problem on this. We went through a lot of dead ends ,signals that looked clean in testing, fell apart on real data. ORKA had to be built on top of that foundation, so it wasn't just drafting outreach into a void ,it's working off signals we actually trust.
One month. Three people. Bengaluru. We were hacking on this while balancing other commitments, iterating on what 'intent' even means at a model level, and shipping something we'd actually want to use ourselves. We know we haven't figured it all out yet. But we shipped something real, with real signal, and ORKA is getting smarter every day.
About Cnvrted on Product Hunt
“Buyers, not names — real-time B2B buying intent ”
Cnvrted was submitted on Product Hunt and earned 0 upvotes and 2 comments, placing #126 on the daily leaderboard. Cnvrted scrapes the open internet in real time, across every platform where buyers actually talk, to find companies signalling they need what you sell. It scores them, builds your target list and drafts the outreach, all run by ORKA, your AI sales agent.
Cnvrted was featured in Sales (22k followers), SaaS (43.9k followers) and Artificial Intelligence (477.4k followers) on Product Hunt. Together, these topics include over 183.2k products, making this a competitive space to launch in.
Who hunted Cnvrted ?
Cnvrted was hunted by Dhruv Pradeep. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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