The PolyFire Story: From Idea to Product

I was spending two hours a day manually checking Polymarket wallets. I had a list of 30-40 addresses I'd identified as smart money — good win rates, early movers, consistent alpha. Every morning I'd go through them one by one, check recent positions, try to figure out what they were betting on.

It was working. The returns were good. But the process was brutal and I knew it didn't scale. So I started building the thing I wished existed.

The first version of PolyFire was a Python script that scraped Polymarket data, compared it to a hardcoded wallet list, and sent me a Telegram message when it found new positions. It was fragile, broke constantly, and had no UI whatsoever.

But it worked well enough that I used it every day. That's the signal. When you build something terrible and still use it every day, you've found a real problem. The terrible version proves the value. Then you build the real version.

I chose Telegram as the interface deliberately. Not because it's the flashiest choice — because it's where traders already live. The prediction market community runs on Telegram. You don't want to build a new habit for your users; you want to meet them where they already are.

A Telegram bot also has a zero-install distribution model. No app store approval, no download friction, no account creation beyond what Telegram already handles. Someone shares your bot link, you click it, and you're in. That matters a lot for early growth.

As I built the data infrastructure for PolyFire, I realized the backend had value beyond the bot. Tracking 25,000+ markets and 23,000+ wallets, scoring wallets by performance, generating alpha signals — that's a product in itself.

TradeSphere.ai became the B2B layer: the API and data infrastructure that powers PolyFire and that other developers can build on. Splitting it this way means PolyFire can stay focused on the consumer experience while TradeSphere handles the heavy data work.

The honest answer: building in public on X was the biggest growth driver. I posted updates, shared the signal arena results, talked about what was working and what wasn't. People who were interested in prediction markets found the content, found the product, and signed up.

No paid ads. No influencer deals. Just showing up consistently with useful content and a product that solved a real problem. The community found me because I gave them reasons to.

PolyFire is a live product with real users trading real money through it. Signal Arena is running 236 bots in real time. The MCP agent system lets developers build AI trading agents on top of our infrastructure.

The vision is to be the Bloomberg Terminal of prediction markets — the tool that serious traders can't imagine operating without. We're not there yet. But the foundation is real and the trajectory is right.