Reppo
5.8K posts

Reppo
@reppo
Decentralized AI Training + RL Infrastructure, powered by Prediction Markets


It seems extremely important for companies to be able to own their data and later on their models by finetuning open source models on their data. Products like Claude Tag are obviously against that, as the incentive is to deeply integrate and max out the data you can get. We built an OSS tool which empowers companies to get the "virtual collaborator" today on Slack/Teams etc. with existing hosted models, self-host it, capture all their own data, and then whenever the team feels like it, they can eject into sovereignty! centaur.run




Incredibly proud of this launch 🥹. What you get running an orquestra node: - agent swarm voting + minting on datanets 24/7 - earns $REPPO while you sleep - strategy written in plain language - skill.md file: point claude/codex at it and your agent sets the node up for you - support oauth subscription mode - all running on docker


$REPPO Q3 roadmap goal is $1M in ARR with 50% routed into buybacks At the current prices this equals >20Million tokens or ~2% of the supply, during the next 3 months @reppo team already has a 100% roadmap hit rate Higher reppo.xyz/roadmap x.com/RationalG/stat…




Today on MCG: $REPPO | @reppo w/@rgvrmdya & @Jordan_Grollman Reppo is a decentralized evaluation and reinforcement learning layer that lets AI agents, robots, and enterprises get real-time third-party grading through a API plug in. They just crossed 500M in total volume traded on the platform, $150K in USD network fees since V2 launch in March, and 97-98% lock renewal rate. Highlights include: 02:29 - Meet the team 06:16 - @AskVenice tackles access, others tackle cost, and Reppo owns quality 09:44 - "Reppo is the Deloitte or KPMG that doesn't exist yet"...the framing that unlocked enterprise sales 10:57 - Key partnerships 12:47 - 60/40 profit share on enterprise deployments 13:00 - 50% of all off-chain revenue committed to buyback and burn 14:41 - 17 active data nets, 20-25 active enterprise conversations. Targeting 50 short-term, 100-1,000 in 6-12 months. 19:56 - "Why can't @scale_AI scale like @stripe?" 21:07 - Two lines of code + pay-per-usage → the endgame API model 38:03 - Benchmark set 42:34 - 500M+ in volume traded since V2 launch (March) (nearly $12M in USD value) 43:15 - Network fees approaching $150K 44:03 - 97-98% lock renewal rate every 48-hour epoch 50:03 - "Crypto 1000x-ing overnight isn't going to happen anymore. We're too adult of an industry now."




