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Predictefy
Predictefy

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Building a Terminal for Prediction Markets (Aggregating Polymarket, Kalshi, +5 more)

Prediction markets are growing fast, but actually using them still feels messy.

If you’ve spent time on Polymarket, Kalshi, or similar platforms, you’ve probably noticed:

The same market shows different probabilities across platforms
Liquidity is split everywhere
You’re jumping between tabs just to compare prices
Execution is manual and slow

You can find edges, but it’s not efficient.

We’re building Predictefy to fix that.
predictefy.com
https://x.com/Predictefy

What we’re trying to do

At a high level, we want to make prediction markets easier to trade and scale.

Right now everything is fragmented. We’re trying to bring it into one place so you can actually see what’s going on across markets — and eventually execute properly across them.

The goal is simple: help accelerate prediction market adoption by making the tooling not suck.

What we have right now

We’ve got a public beta live.

Current features are pretty straightforward:

Compare odds across markets in real time
Spot arbitrage / +EV setups
Track markets and positions in one place
Basic analytics (volume, movers, etc.)

It’s already useful if you’re actively trading, but it’s still early.

Where this is going

What we’ve built so far is just the base layer.

Long term, we’re working toward:

Liquidity aggregation across platforms
Smart order routing (best price execution)
Cross-market position management
Market making infra
More advanced trading tools

Basically turning a bunch of disconnected markets into something that feels like a real trading system.

Why now

Prediction markets feel a lot like DeFi in 2020/21 — early, fragmented, full of inefficiencies.

The difference is they’re moving faster.

There’s also more clarity forming on the regulatory side (especially around the CFTC), which we think will bring in more serious participants over time.

Early traction

330+ active registered users (verified via Privy)
4,300+ engaged users (GA)
5m+ average engagement time
$1M+ in volume from private beta to public beta
Grant winner from Superteam
Data referenced by Algorand Foundation, Polymarket, Kalshi, Opinion, Limitless, Business Insider, AOL
A few things we’ve learned
Latency matters a lot — opportunities don’t last long
Normalizing data is harder than expected — every platform structures things differently
More data isn’t always better — showing the right opportunities matters more
Liquidity is misleading — it’s often there, but not easy to actually access
Where we’re at
Public beta is live
Early users are actively trading on it
We’re shipping updates pretty much every day

We’ve already shipped more than any other prediction market terminal in the space, and we’re just getting started.

We’re fully bootstrapped and just building — no fluff, just shipping things traders actually want.

Huge shoutout to the team — from engineering to my co-founders — genuinely couldn’t ask for better people to build with.

And especially to the traders and community who’ve been giving feedback since day one.

Would love feedback

If you’ve traded prediction markets before:

What would you want from a tool like this?
How would you handle cross-market execution?
What’s currently the most annoying part of trading across platforms?

Happy to dive into any part of what we’re building.

  • Tafcir

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