Oddpool Joins Kalshi After Raising $3M to Build the Data Infrastructure Behind Prediction Markets
Oddpool, a prediction markets data startup backed by Y Combinator, is joining Kalshi, the event contracts exchange. The founders came through YC and raised a $3m seed before the move, building the tooling institutions need to treat prediction markets as a genuine asset class. Oddpool joining Kalshi is modest in scale. What it points to is not.
On the surface, this reads like a routine early-stage move. Look closer and it’s a statement about where value is concentrating in a fast-maturing market. The trading screen is not the prize anymore. The data underneath it is.
What Oddpool joining Kalshi actually involves
Oddpool has been building a data layer for prediction markets, aimed squarely at institutions, economists, policy-makers and business owners. The founders’ pitch is clean: every trade carries an embedded signal, and that signal comes from millions of participants competing in an open bidding process rather than from a committee. The company’s job is to turn that raw activity into something a decision-maker can act on, whether that means a business stocking inventory ahead of a major sporting event or an investor adjusting treasury positions before a Fed decision.
Rather than serve Kalshi as an outside vendor, the team decided to build from within. After sitting down with Kalshi’s Tarek Mansour, the founders concluded they could do more inside the ecosystem than as an external partner.
Why prediction markets data matters now
Traditional derivatives markets have long enabled price discovery on commodities, energy and interest rates. Prediction markets extend that logic to a far broader set of questions people actually care about, from politics and sports to climate and culture. The forecasts these markets produce are, in effect, prices, and prices carry information.
That’s the shift worth naming. As prediction markets grow, the useful output isn’t just the ability to place a trade. It’s the aggregated signal those trades generate, structured well enough that a serious institution will act on it. Oddpool was built to package exactly that, and Kalshi is now bringing that capability in-house.
Why Kalshi is building the data layer, not licensing it
For anyone tracking this space, the tell here is building over partnering. Kalshi could have licensed a data feed. Instead it is bringing on the team building the layer. That’s a decision about control and long-term strategic value, not a quick feature add.
It also sets a marker for competitors. If the institutional data layer is where prediction markets start to differentiate, exchanges that treat data as an afterthought may find themselves buying it back later, on worse terms. The commercial question this raises for rivals is simple: build the data capability now, or pay to acquire it once it matters.
What the Oddpool and Kalshi announcement doesn’t say
A few things aren’t in the public account, and they matter. The source is a single first-person announcement, not a formal statement from either company. The nature of the move, its terms and its timing aren’t disclosed. The account also carries an internal inconsistency on exactly when the founders went through Y Combinator, so the precise timeline is best confirmed before it’s treated as settled. Read this as a direction of travel, not a fully documented deal.
What comes next for the prediction markets industry?
The near-term story is the infrastructure itself, and how quickly institutions start treating prediction market data as a real input rather than a curiosity. If Kalshi builds a data layer credible enough for economists and allocators to lean on, expect competitors to move on their own data strategies, and expect more of these quiet, data-first moves. The interface got prediction markets their audience. The data layer is what could get them taken seriously.
Source: Kalshi
