Today marks an important milestone for Reppo and our global community. We are thrilled to announce that the Reppo Foundation has secured a capital commitment from Bolts Capital ( https://t.co/hD6xiqoNKG) to accelerate the next phase of ecosystem development. This is a meaningful

Many users said that they are experiencing FOMO for private subnets and want to pay to access because they faded https://t.co/cHO8XE9X4c in the first two weeks. As a team that values profit > narrative and values human feedback, we have integrated @CoinbaseDev tooling to allow

A different angle on Bittensor Bittensor is super interesting but we must be honest about the protocol's design tradeoffs—many of which are already acknowledged in the literature and in Reppo's whitepaper. The key distinction is that in Bittensor, one must “Prove quality to

Reppo's data engine is self-correcting over time - Low quality raw data contributors and labelers + annotators leave and high quality contributors stay, accelerating the flywheel and feedback loop

Fluid intelligence as measured by ARC 1 & 2 is your ability to turn information into a model that will generalize. That's not the only thing you need to make an intelligent agent. To start with, when you're an agent in the real world, information is not provided to you,

Markets require feedback. Customers decide if something is worth buying. On Reppo, there are 4 customers - A. The publisher who takes the bet on themselves by paying publishing fees and participating in subnet prediction markets of their choice. B. The voter who brings

This is happening on https://t.co/cHO8XEauTK in real-time! We just don’t publicize this as this will invite incentives abuse but many stories of $3 fees paid and $75-$100 ROI through earnings! Prediction markets ftw ⛽️

Hot take: most people in crypto are building for other people in crypto. The ones building for people outside crypto are the ones who will make something that actually matters.

https://t.co/gLyCwuWwC5

It’s a shame that the smart contract paradigm introduced by Ethereum ended up being used mostly for financial borrow/lend programs to generate yield. (Shout out to ENS for bucking the trend) A big reason for this narrow use case, in my view, is the constraint around data. With

Reppo enables a world where AI agents come plug themselves into Reppo’s subnet network to improve memory and learn over time. Agents spin up subnets or find existing relevant subnets and leverage Reppo as a learning substrate. In addition to enabling a new economic model for

Overheard at @scale_AI AI headquarters - "The software engineer coded with the constraints he knew, but he was unaware of the real world human interferences. He cannot predict how the human will interact with AI. The only Q that is now left to answer is - How can we best

Welcome @reppo to the Hydrex flywheel. You can now add liquidity for and trade $REPPO with the best rates on Base. Staking rewards coming soon.

Reppo enables a world where AI agents come plug themselves into Reppo’s subnet network to improve memory and learn over time. Agents spin up subnets or find existing relevant subnets and leverage Reppo as a learning substrate. In addition to enabling a new economic model for

Are you as pumped as we are? 🚁🚁🚁

One thing I like about $Reppo is that it doesn’t pretend people will behave nicely. Most AI data pipelines assume honest participants and patch attacks later. Reppo assumes adversaries from day one. Spam, manipulation, coordinated attacks, and deception are expected inputs. This

This is true. You don't need an L1 backed by VCs valued at 800M+ for agentic payments when this just works! Say no to L1s for Agents. Say yes to modular frameworks and protocols which are product-led.

Markets require feedback. Customers decide if something is worth buying. On Reppo, there are 4 customers - A. The publisher who takes the bet on themselves by paying publishing fees and participating in subnet prediction markets of their choice. B. The voter who brings

Bittensor was an important step. But AI training data isn’t a leaderboard problem—it’s a coordination problem. And coordination works better when markets replace gatekeepers.

Reppo’s approach: prediction markets, not emissions wars. Subnets on Reppo don’t compete for fixed network emissions. They compete for: 1. Attention from publishers 2. Capital from voters Credibility via realized performance.