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FEEN wants to capture crypto trading culture through market-powered prediction game
The startup compresses live market moves into bite-sized prediction rounds, betting that “volatility is king” in a short-form, always-on era of finance.

For most crypto traders, volatility is a feature, not a bug. For the co-founders of FEEN, it’s the entire product.
FEEN is a gamified, high-frequency crypto prediction market built around 30-second token “races,” where users bet on which cryptocurrency will pump the hardest over a short time window. The experience is designed to feel more like a mobile game than a traditional exchange: swipe, bet, win—with potential returns reaching as high as 100x.
On the latest episode of The BettingStartups Podcast, co-founders Michael Chiang, Evan Luza, and Chris Dancy unpacked how the idea came together and why they believe the next wave of speculation won’t look like a sportsbook or a trading terminal, but something in between.
Rather than offering long-dated prediction markets or complex derivatives, FEEN compresses the action into rapid-fire, head-to-head token matchups. Every 30 seconds, users choose which asset they think will outperform in that micro window. It’s deliberately simple. The founders explained that they weren’t trying to build another exchange with better charts, but instead wanted to create something native to how a younger, crypto-savvy audience already consumes risk: short attention spans, constant feedback, always-on markets.
“The story really starts with ourselves,” Michael Chiang said. After years in crypto, the team kept asking a basic question: why are people here in the first place? The answer, he argued, is straightforward. “We are all here to get that crazy return, that thousand X move, if you will.”
The problem is timing. “We don’t know when that moment arrives,” Chiang said. Traders sit refreshing screens, scrolling X, waiting for the next coin to take off. FEEN flips that dynamic. “What if we can bring that moment to you whenever you want it at the tap of your finger?”
The early prototype leaned even harder into that compression. Evan Luza recalled experimenting with a short-term, “absolute degenerate timeframe” that was less than 30 seconds. The hook for FEEN is not complexity but instead the immediacy of the experience—something Luza said “feels like [its] for the people.”

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Under the hood, the team is adamant that FEEN isn’t just another RNG-driven game. “I personally hate RNG games,” Chiang said. “I feel like it sucks the soul out of my life.” Instead, FEEN is tied to “real assets and real volatility and not pure RNG,” using live market movement as the engine.
That philosophy is part of a broader thesis. Chiang believes “finance is going through a format shift similar to what happened in content,” pointing to the rise of TikTok-style short-form media. Markets, he argues, are becoming “on demand, interactive, and highly dopamine driven.”
Chris Dancy sees speculation itself expanding beyond hardcore crypto natives. “What we bet on is different in crypto,” he said, noting that users are increasingly drawn to markets they intuitively understand rather than deep technical narratives about blockchains and protocols.
Since launching in private beta in November, FEEN has focused on retention and behavior loops, keeping the product invite-only while it iterates. Early signs, Chiang said, point to “very short bursts, multiple sessions per day,” reinforcing the idea that users are treating the product more like a game than a trading terminal.
The long-term ambition is bigger than crypto traders refreshing charts. Chiang envisions FEEN as “a household pocket prediction game,” one that passes what the team calls the “mom test”—simple enough that non-crypto natives can pick it up instantly.
“Volatility is king,” Chiang said. In traditional markets, swings are often something to hedge away. In crypto, they’re the draw. FEEN’s wager is that instead of chasing the next 1,000x in the wild, users might prefer to experience that rush in structured, 30-second races—again and again.
Listen to the full podcast on YouTube, Spotify, and Apple Podcasts.