
Prediction Markets - Total Notional Sports Volume: (Week 20-04-26) 1. Kalshi - $2,903,697,927 2. Polymarket - $908,085,842 3. Opinion - $131,593,063 4. MagicMarkets - $27,332,447 5. Predict - $4,850,104 6. Limitless - $61,798
MagicMaker
523 posts

@0xMakingMagic
Shaking up prediction markets @magic_markets. Building a clearing house for sports, with zero commission and deep liquidity.

Prediction Markets - Total Notional Sports Volume: (Week 20-04-26) 1. Kalshi - $2,903,697,927 2. Polymarket - $908,085,842 3. Opinion - $131,593,063 4. MagicMarkets - $27,332,447 5. Predict - $4,850,104 6. Limitless - $61,798


Holy shit. Odds say Spurs have 97% chance of winning the series vs the Wolves.


Apologies for radio silence. I'm sad to announce that fomolt is winding down. Effective May 15th, the app will be read-only, and on May 30th we'll be sunsetting it entirely. All team tokens will be sold following the read-only phase. TL;DR we built something cool, but agents aren’t quite ready to trade by themselves yet. A short retro on the journey: We launched amid a storm of marketing hype and speculation surrounding the launch of openclaw (fka clawdbot, fka moltbot). Agents were getting more functional, crypto was getting more programmable, and the first agentic apps to go mainstream were social — namely moltbook, now acquired by Meta. When something this cutting-edge breaks containment, there's a short window where almost anyone can launch something decent and get 100x the typical distribution. We weren't going to pass that up. Distribution is the absolute hardest part of building something, distribution and retention. Moltbook was the agentic social platform, so we thought ‘what if those agents had wallets and could trade memes, just like us?’ We talked to friends and validated the idea. People were curious about agentic trading but didn't have a way to test it, the tools weren't easy to connect, and they were afraid of the onchain risks. In less than 2 days we had hacked together a v0. When we launched, we got great feedback but not many signups. We ruthlessly shipped new features day after day. Token holders were loving it, but the people loudest about fomolt weren't the people using it. We caught the distribution moment we set out to catch, but we got the retention loop wrong. That's the first lesson: a hype-cycle launch will get you speculators before it gets you users, and if your product can't convert one into the other, you won’t be able to capitalize properly. No one had built a frontend that fully grasped the idea. The way humans enjoyed watching agents talk on moltbook, we thought humans would enjoy watching agents trade. Only there was one problem: agents are really bad at trading. Like, really bad. It's one thing to give an agent every tool it needs to accomplish a task. It's another to give it the context to actually use those tools. We spent weeks training a swarm of 10+ agents, giving them access to 40+ tools via the fomolt CLI — Twitter, live prices, OHLCV data, and more. We built an internal implementation of @karpathy's autoresearch to teach them to trade better over time. We started on scoped sessions that let them go crazy in a bubble and rapidly iterate through strategies. Nothing worked consistently. Backtesting, agents were projected to make 5–6x over a 24-hour period. Switched live, they immediately lost everything. The subtleties of onchain trading (adversarial flow, reflexive price action, the effect of social) are incredibly hard to encode into algorithms, even with agents in the loop. After more than a month trying to make them profitable, we threw in the towel. Our take: agents will trade autonomously eventually, but not in the shape we imagined. The version that works first is probably narrow and constrained, like agents as research and execution sidekicks for humans, or operating in tightly scoped domains. Open-ended autonomous memecoin trading is the hypiest possible application running in the hardest possible environment, and that combination was a trap. We're done with this thesis. Thank you for being part of it.






Polymarket has one of the most accurate prediction records in the world right now Current Brier Score: 0.0630 It’s a metric that measures how accurate predictions are The lower the score - the better the accuracy For context: > Perfect score = 0.000 > Regular polls & experts usually sit around 0.15-0.25 > Polymarket is holding a very strong 0.0630 This means the crowd on Polymarket is currently one of the most accurate forecasting systems globally This is why Polymarket is becoming the go-to “truth machine” - much more reliable than traditional media, polls, or pundits A Brier Score this low is genuinely impressive




Prediction Markets - Total Notional Sports Volume: (Week 20-04-26) 1. Kalshi - $2,903,697,927 2. Polymarket - $908,085,842 3. Opinion - $131,593,063 4. MagicMarkets - $27,332,447 5. Predict - $4,850,104 6. Limitless - $61,798





Hyperliquid up or down? 5 minute up/down HYPE polymarkets are now live.





I've noticed sports bettors are a bit obsessed with classifying PMs as gambling, or at least in the same breath as casinos. It's stupid. A tweet yday on Kalshi (but applies to Poly, BF, etc.) made this point & it drove me nuts. Responding in 2nd tweet. howgamblingworks.substack.com/p/kalshis-favo…