CrowdCent is trying to "decentralize investment management." We believe that many predictors can beat the lone genius, or the lone genius should join us. We want to build neutral infrastructure, built durably on years of work. This means our systems need honest value attribution where if you create more you can get more. We want capitalism to actually work which means everybody needs to own capital. We think that you should own the things you value.

📣 Decentralized AI Day #NewYork — Oct 10 🗽 A full day of #DecentralizedAI, #ML + #Web3: 🧠 @numerai “Out of Sample” panel 🛠️ Numeroo workshop 📈 ML signals → live portfolios w/ @CrowdCent ⚡ @AlloraNetwork × @OrionFinanceAI 🤖 Local-first AI, memory + inference 🤝 Plenty of time to meet other AI + Web3 builders 🍕 Breakfast, lunch, coffee, pizza + a three-hour networking mixer Technical substance. Honest conversation. No hype. No pay-to-play. ⚠️ In person only — register by Oct 8 🏙️ Part of #AIWeekNY 👉 Agenda + RSVP luma.com/e38g271w?utm_source… 📣 Confirmed speakers: @jrosenfeld13 @nickemmons @Matteomanzi09 @Lingster888 @jefferythewind @NumeraiCoE

CrowdCent Cloud is live in public preview. Write code in your browser, train on CPUs or GPUs, keep your artifacts, and schedule the whole pipeline. Your AI agent can use it too via API/MCP. Open to anyone with a Challenge submission. crowdcent.com/cloud/

The CrowdCent meta-model predicts 10d and 30d forward relative returns of every perp on Hyperliquid. The meta-model is turned into live portfolios, using different optimizers, parameters, and risk preferences. And it's available to anyone* *if you're willing to work for it

Join us for Decentralized AI Day in NYC on 10/10, hosted by @NumeraiCoE Build machine learning models for systematic crypto ranking and earn your wings in our meta-model trading (and flight) simulator Register here: luma.com/e38g271w

BIG news from @CrowdCent today 👀 The skeleton of the future of tokenized finance is in the works ⚙️

Introducing Live Rebalancing on CrowdCent. Here's how it works: Submissions in. Meta-model out. Meta-model in. Live portfolios out. For the last year, our community has submitted ~26,000 prediction files from machine learning models. Everyday, CrowdCent aggregates those predictions into a meta-model with verifiable out-of-sample performance. As of today, you can now take that meta-model, grid-search simulated portfolio configurations against real Hyperliquid market data (fees, funding rates, optimizers, in-sample and out-of-sample splits), ensemble the configs you like, and deploy the net result live with automatic rebalancing directly on Hyperliquid. But, yes, there's a catch. You have to work for it. If you want access, you need 100+ CC Points and at least one submission in the last 30 days. Points only come from contributing predictions, so the people trading on the crowd's alpha are only the people who helped create it. Start submitting today: crowdcent.com/challenge/hype…

Confirmed Speakers Decentralized AI Day NYC - #AIWeekNY Sat, Oct 10 9am ET @jrosenfeld13 of @CrowdCent @nickemmons of @AlloraNetwork @Matteomanzi09 of @OrionFinanceAI The @numerai "Out of Sample" Special Panel ft Tim, ShatteredX and Jason(Ep 2,3,4) Register free below ⬇️

Close the gap between value creation, value attribution, and value capture

👏 Stop paying for beta! 👏 Why We Entered the CrowdCent Hyperliquid Challenge Our security ranking tool is built on expected partial moments (lnkd.in/ek7zjRU). Clients have given it strong marks, but it's hard for anyone outside that group to verify. Now they can. The CrowdCent Hyperliquid Ranking challenge asks contestants to submit relative performance ranks on roughly 200 crypto securities, not code or model internals. We like that structure. Too many "quant contests" are IP grabs dressed up as competitions. Many of the entrants are familiar names from other data-science and crowdsourcing competitions, and the leaderboard shows why that matters: contestant ranks correlate heavily with the ensembled meta-model. Groupthink, fully quantified. Our entries are the exception. As of this week, #ovvo-nns holds three of the top four leaderboard slots, including #1, all with negative correlation to the meta-model. The next-highest finisher sits at +0.50 correlation to the crowd. We're on the other side of that number and still ranking ahead of it. It gets more interesting under the hood. Isolating the orthogonal portion of our 30-day rank signal produces a 100% hit rate across observed periods, versus 75% for the raw signal. The orthogonal component isn't just uncorrelated, it's the more predictive part of the model. Portfolio theory says uncorrelated return sources are valuable. Negatively correlated sources that still outperform are rarer, and worth more. If you run a long/short book or need to rank securities, stop replicating the crowd and paying for more beta. Add real alpha to the stack instead. 👉 ovvolabs.com

Top Signal Movers over the last 30 days for the CrowdCent Hyperliquid Ranking Meta-Model Largest increases: $NEAR, base:0xacfe6019ed1a7dc6f7b508c02d1b04ec88cc21bf , ethereum:0x163f8c2467924be0ae7b5347228cabf260318753, celo:native Largest decreases: $DASH, $SUPER, fogo:native, base:0x1111111111166b7fe7bd91427724b487980afc69

Everybody will have their own agent that "makes money," but the best agent is everybody's agents. And that's CrowdCent. Submissions in. Meta-Model out. Meta-model in. Portfolio out. You can simulate the Hyperliquid portfolio based on different configurations here: crowdcent.com/challenge/hype…

Jason Rosenfeld(@jrosenfeld13) and @CrowdCent believe in the power of network effects. Catch up on the latest episode of Out of Sample piped.video/3Xcx3Kwln78

ICYMI Episode 4 of Out of Sample is live piped.video/3Xcx3Kwln78

Decentralizing investment management is stupid and AI sucks. So we're doing both

Our CEO @jrosenfeld13 joined the @NumeraiCoE to discuss the future of decentralized investment management "Normally the idea is that 'I have this information, I need to hide it from you so I can extract as much from it as possible.' But I think there is an alternative version to that" "We think that networks can make smart investment decisions, especially when they're properly incentivized" piped.video/watch?v=3Xcx3Kwl…

Can networks make better investment decisions than small teams behind closed doors? Jason Rosenfeld from @CrowdCent joins Out of Sample to discuss decentralized investment management, agentic engineering, @numerai and what comes next. Full episode: piped.video/3Xcx3Kwln78

From Wall Street to decentralized investing, @jrosenfeld13 explains where AI and finance are heading next. Episode 4 of Out of Sample coming soon. piped.video/3TkjT1HkBhA

The value creation / capture mechanism broke. Not Capitalism itself.