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.
Report
Maker
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.
Report
Maker
Hey guys, I’m Sharan🙃.
Kailas and I met Dhruv through a common friend. Our journey actually started with another project, and somewhere along the way, that idea turned into CNVRTED.
Three months ago, the three of us decided to build something around one simple idea: making sales simpler and easier for people.
What started as an idea quickly turned into a lot of late nights, endless discussions, messy builds, things breaking at the worst possible time, and figuring out solutions as we went.
We were learning a lot while building. From the backend and data to the product, design, integrations and everything in between, there was always something new to work on.
There were definitely days when things didn’t go as planned, but slowly, everything started coming together.
And three months later, CNVRTED is live.
It feels good to see something that started as just an idea actually turn into a product that people can use.
But we’re nowhere near done. We’re still building, adding new features, fixing things, learning from feedback and trying to make CNVRTED better every day.
Three months down, and this is just the beginning🚀🚀.
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.