About
Go-to-market is a systems problem
Most teams do not fail at growth because nobody worked hard. They fail because the research, the monitoring, the writing and the follow-up live in different heads, tools and weeks. Revtive runs all of it as one system with one memory.
Why we built it
Revtive started from a frustration every founder recognises. Somewhere out there, right now, someone is describing the exact problem your product solves, in public, in their own words. By the time you find that thread it is four days old and the conversation has moved on. Meanwhile the research that would tell you which threads matter sits half-finished in a document nobody has opened since launch week.
The tools that promise to fix this mostly generate volume: more posts, more emails, more “leads” with no evidence behind them. That is not leverage, it is noise with a subscription. We wanted the opposite: a small number of genuinely good moves, each one backed by something you can read for yourself.
What it actually is
You give Revtive a URL. A team of specialist agents researches your product and market, works out where your buyers actually post (a real-estate product ends up somewhere very different from a developer tool), monitors those venues continuously, and hands you evidence-backed opportunities with the draft already written. Every agent contributes to a shared knowledge graph, so the twelfth run is smarter than the first.
The engineering that matters most is the part that says no. URLs must appear verbatim in fetched source material. Evidence quotes must literally exist in the original post. A second, skeptical model re-reviews every candidate against your product. Anything that fails a single gate is discarded. That is why Revtive sometimes tells you it found nothing this cycle, and why you can trust it when it says it found something.
Who we are
Revtive is built by a small, independent team operating as Revtive, based in Bengaluru, Karnataka, India. We are not venture-funded, we do not sell your data, and we do not train models on your workspace. The product is funded the boring, honest way: by customers who pay for it.
If you want to reach us, the contact page is a real inbox with a person behind it, not a ticket queue.
How we build
Four rules we do not trade away
Evidence or nothing
Every opportunity carries the quote, the link and the reasoning that produced it. If an agent cannot show its work, the item is dropped rather than shipped. An empty cycle is a correct answer.
Show the reasoning
You can always see why something was surfaced, why it matters to your business specifically, and what to do next. No opaque score, no black box you are asked to trust.
Agents propose, people decide
Nothing is posted or sent without your say-so. The system is built to hand you a finished draft, not to act behind your back.
Useful beats impressive
We would rather return three opportunities you act on than thirty you scroll past. Padding a list is the easiest way to make an AI product look busy and feel worthless.
See it on your own product
Add a URL and watch the agent team go to work. Most workspaces have their first evidence-backed opportunities within 24 hours.