MagicMaker

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MagicMaker

MagicMaker

@0xMakingMagic

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

Inscrit le Mart 2025
1.1K Abonnements148 Abonnés
Elton Ma
Elton Ma@Eltonma·
Seems new month, the rewards are no longer sports heavy, I am back to #1 spot (BY A LOT).
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Sbinfluencer
Sbinfluencer@sbinfluencer·
@JonSchweppe I used to love betting on sports. Then I saw this post, and I realized how much the sportsbooks have been screwing me. I have you to thank for that.
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MagicMaker
MagicMaker@0xMakingMagic·
Switching from back testing to live. Many such cases.
fomolt@fomoltapp

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.

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MagicMaker
MagicMaker@0xMakingMagic·
@glitchtruth @Kalshi Prediction markets are designed to surface insider knowledge and information asymmetry.
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Glitch Truth
Glitch Truth@glitchtruth·
Prediction markets have an insider trading problem nobody talks about. If you know a Fed decision before it's announced, you can bet on @Kalshi legally. If you do the same thing on the NYSE, it's a federal crime. The legal protection exists because they're technically 'event contracts,' not securities. The economic incentive to exploit non-public information is identical. The regulatory treatment is not.
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rahul
rahul@withqwerty·
thrilled to announce that campos ⚽🧤 is now in public beta: campos.withqwerty.com the aim: quickly and painlessly go from raw football provider data to beautiful, interactive charts. think of it as @mplsoccer_dev + @kloppy_dev for the web. good presets, endlessly customisable, sensibly interactive. campos adapters turn opta, statsbomb, wyscout and the rest into tidy events you drop straight into campos components - no more coordinate flips, no stress. build by hand or with agents paired with nutmeg.withqwerty.com skills open source, forever. contributions welcome - new chart types, more adapters, new features, bug fixes, anything. gracias, jorge.
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Limitless
Limitless@trylimitless·
We just crossed $3.5 billion in total traded volume Almost $300 million in the last 5 days alone What did you get done this week?
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MagicMaker
MagicMaker@0xMakingMagic·
@NickPreszler Token2049 didn’t happen, so I’m now overdue a conference… but probably won’t make it.
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Nick Preszler
Nick Preszler@NickPreszler·
Who's going to Miami next week? If you're building or trading prediction markets, let's find a time to chat. DM me or drop a comment and i'll reach out.
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ghøst
ghøst@decenterghost·
Polymarket Brier 0.063 is excellent calibration on a curated set of markets. Not on all markets Brier 0.063 doesn't mean Polymarket is a "truth machine" It means PM is well-calibrated on the markets it chooses to list Three filters PM applies that polls don't: > Liquidity filter No market for "will this startup fail in 18 months" -no verifiable outcome, no volume. Polls don't get to opt out of hard questions. PM's selection criterion isn't difficulty -it's verifiability. That's a different bias, and a structural one > Base rate skew A 0.90 market has a Brier floor of 0.01, but an expected score of 0.09. A 50/50 market has a floor of 0.25. If PM systematically lists high-confidence markets, Brier 0.063 is partly an artifact of mix, not accuracy. The number looks sharp. The denominator is doing work you're not seeing > Time resolution Brier score doesn't distinguish predictive power from speed of convergence. A market that moves to 0.99 five minutes before resolution scores nearly perfectly and tells you nothing useful ex ante. Polls measure uncertainty before the fact. PM measures convergence toward the fact. Comparing them through a single Brier score is a methodological error, not a calibration triumph PM is sharp. But "truth machine" is a narrative for people who've never had to model what happens when the oracle itself is the trade Price on PM is information and information that feeds back into the behavior of the agents it's supposed to measure. That's not a prediction market anymore. That's a reflexivity machine with a good Brier score
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vijn@vijn_crypto

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

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MagicMaker
MagicMaker@0xMakingMagic·
@ChairmanSelig @CFTC I'm going to write an article about how modern Prediction Markets developed, and how they are explicitly designed to surface information asymmetry and punish those who are uninformed.
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Mike Selig
Mike Selig@ChairmanSelig·
Claims that “insider trading is rampant” in prediction markets because the @CFTC's antifraud rules are “fuzzier” than others are simply untrue. During my first 100 days leading the agency, we’ve strengthened and modernized our strategies for detecting illicit activity and taken legal action against bad actors. Read my full letter to @WSJ correcting the record: wsj.com/opinion/predic…
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Todd Fuhrman
Todd Fuhrman@ToddFuhrman·
If a sportsbook won’t offer you a 2 way market then you’re almost always getting gouged *any time goal scorer *any time TD scorer *player to hit a homerun *racing placement markets Not saying these markets never offer value but they’re the very definition of buyer beware
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CJ (晨杰)
CJ (晨杰)@cjhtech·
Limitless in April 2026 > $1.5B in monthly volume > crossed $20M annualized revenue > #2 largest onchain prediction market > #3 largest globally including US regulated markets > football markets achieving emergent PMF > continued growth of short duration prices contracts, a prediction market segment @trylimitless pioneered in 2024 which now represents 40% of all onchain prediction market revenue across platforms > too many product & API upgrades to mention it's not too late to become limitless. but the window of opportunity to be early is closing.
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CosmicGATE AI
CosmicGATE AI@cosmicgateAI·
A common question is whether new prediction market startups can realistically compete with incumbents such as Kalshi and Polymarket. The better framing is not whether they can displace incumbents outright, but whether they can capture meaningful share in a category that is still early and structurally underdeveloped. Prediction markets are projected to reach a $ 325B+ run rate in 2026, yet the market remains far from saturated. That leaves room for new entrants, especially those that do not approach the category as just another exchange. For new startups entering the space, the opportunity is unlikely to come from copying existing models. It will come from building differentiated infrastructure and distribution around specific user behavior. Today, most prediction markets still share the same core limitations: - similar product structures - weak social engagement loops - cold-start liquidity challenges and - limited GTM differentiation We think the next generation of category leaders will be defined by three things: 1. Defensible product moat Not just market access, but a product experience that is difficult to replicate. 2. Distribution advantage In prediction markets, GTM is not secondary to product. Distribution is often the deciding factor in whether a platform reaches escape velocity. 3. Agentic infrastructure As AI agents become mainstream, there is a growing opportunity to re-architect how markets are created, how signals are aggregated, and how users interact with prediction systems. Most incumbents have not yet fully integrated AI into the execution layer, intelligence layer, or settlement workflow. We believe the strongest opportunities in prediction markets sit at the intersection of verticalized distribution, social participation, and agentic intelligence. At cosmicgate.ai we are building that agentic layer for sports and entertainment, turning fan attention into consumer markets.
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MagicMaker
MagicMaker@0xMakingMagic·
@KalshiNewsroom Prediction markets were specifically designed for “insider trading” and exposing information asymmetry. What’s the definition?
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Kalshi News
Kalshi News@KalshiNewsroom·
"Claims that 'insider trading is rampant,' and that our insider trading rules are 'fuzzier' than others are simply untrue. I’ve made it clear time and time again that anyone who engages in insider trading will be found and prosecuted to the full extent of the law." wsj.com/opinion/predic…
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MagicMaker
MagicMaker@0xMakingMagic·
@Trueo_app What about: “prediction markets are just markets”
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MagicMaker
MagicMaker@0xMakingMagic·
@Vicmetax They feel broken for sport too. Some insane settlement outcomes on known results.
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Vic
Vic@Vicmetax·
Yo, pull up real quick I’ve been diving deep into prediction markets lately and had to share this with you. We all saw Polymarket and Kalshi crush it with billions in volume during the elections. Skin-in-the-game forecasting feels like the future. But if you’ve actually tried using them for anything beyond politics or sports… it still feels broken for normal people like us. Here's the full gist 🧵 🔻
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MagicMaker
MagicMaker@0xMakingMagic·
@BlondiePredicts Sharp sports bettors exist, and have repeatable edge. This isn’t the distinction. They’re the exact same.
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Aggie
Aggie@BlondiePredicts·
To be successful in prediction markets month over month, you need real skill and a real edge. Who in gambling has a positive PnL month over month? Pressing a slot machine button isn’t a skill you can improve
Domer❤️‍🔥@Domahhhh

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…

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