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Reppo
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Reppo
@reppo
Decentralized AI Training + RL Infrastructure, powered by Prediction Markets
Base Katılım Şubat 2024
304 Takip Edilen28.4K Takipçiler
Reppo retweetledi
For the rest of 2026, from @reppo we can expct enterprise adoption, more Datanet launches and broader protocol access.
team is preparing inference time evaluation services that allow companies to stream agent outputs into dedicated datanets and receive continuously updated quality signals.
V3 is expected to support custom settlement times and cross-chain token seeding, making the network usable across more industries and ecosystems.
They're also targeting growth in spatial intelligence, physical AI, robotics and potentially RWA and DePIN verification. The broader goal for Phase 2 is to prove that the network can generate recurring revenue while scaling to hundreds of datanets.
base:0xff8104251e7761163fac3211ef5583fb3f8583d6
Reppo@reppo
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Reppo retweetledi
Reppo retweetledi
For anyone who thinks AI has already eaten the world - take a look at the problems at a diff magnitude of challenge. Each of them require a massive human + machine synthesis of experts. We are so early in how the world will shape.
darpa.mil/research/progr…
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Over the next month, the foundation is conducting buybacks of 1M base:0xff8104251e7761163fac3211ef5583fb3f8583d6 to seed an upcoming enterprise datanet.
The most recent buyback was conducted today -
basescan.org/tx/0x59430add5…
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The network is quickly approaching 600M in base:0xff8104251e7761163fac3211ef5583fb3f8583d6 trading volume and 7.5M in fees
Our foresight on letting agentic swarms do the execution when it comes to publishing and voting is paying off in real time as humans focus energies on memecoins.
In 2 weeks, we will demo meta glasses connected to an Orquestra node streaming preference signals in real-time
Keep the network pulse on Reppostats.com
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Reppo retweetledi
Reppo retweetledi
the demand for intelligence improvement will be in the same order of magnitude as intelligence itself (and potentially even more).
and the rapid increase in RL environments / data spend is the very beginning of this playing out.
a world where you can predictably buy more "IQ" points for your AI system is a world where every single enterprise dedicates a large portion of their budget buying such units of intelligence improvements.
the trillion dollar market & the largest job sector ever is just now getting started.
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Reppo retweetledi
The last jobs in SF are selling data and RL envs to labs and egocentric data to robot companies
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Reppo retweetledi
Plz take the extra effort to own your data and your infrastructure, assign 1 person on your team to set up Centaur over Claude Tag and let me know how it goes - docs in reply.
Claude Tag is awesome, I've spent a few reps using it to understand where it does better than our OSS alternative (just memory right now which we'll have next week and have intentionally delayed because we didn't think it was worth it) but it's just hard to risk your entire company's brain atrophying if that were to be taken away from you.
And soon we'll allow you to swap out frontier models for finetuned OSS ones on each channel (working on the eval rn) and then your cost is going to be in the low tens of thousands per year vs 10-100x that, plus you owning it all. That's the catch the forces above us don't want you to know.
Georgios Konstantopoulos@gakonst
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
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Tokenomics update -
We have made significant progress on the datanet staking mechanism which we expect to ship alongside V3.
We are also testing a new attribution based datanet launch mechanism to accelerate datanet launches for onchain projects while the core contirbutors focus on enterprise onboarding.
Instead of tokenizing datanets, anyone will be able to pay a fee in stables to launch a datanet and attribute to a project or compny's X handle. If the project claims the datanet, 50% of all fees earned by the datanet will automatically be claimable by the project and 50% will perpetually accrue to the user launching and seeding the datanet. The resulting dataset will be co-owned.
If there are no claims, the launcher can continue to earn fees and benefit from the data pipeline monetization, provided they seed rewards.
Both the launcher and the project that claims will be able to seed in any token on any chain.
All proceeds go towards market buying and burning it.
This is in addition to the buyback and burns from offchin revenue.
As a result, all future burn milestone triggers (8M, 16M, 32M…) will instead allocate 2M REPPO to the datanet staking reward pool instead of burning. We will publically share a wallet for all community members to track the reward pool.
More details on the upcoming X spaces.
⛽️⛽️⛽️
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Reppo retweetledi
A massive week for our enterprise push at @Reppo. Here's what's going on:
1️⃣ We cleared $70K USD in offchain revenue from a spatial intelligence client this week, our first real chunk toward the $500K Q3 revenue goal. 50% of that, $35K, is routed straight into $REPPO buybacks onchain. Every transaction posted with a receipt in real time at reppo.xyz/token. No guessing, just proof.
2️⃣ Orquestra is public and the response has been immediate. 30+ nodes already live within days of the public release. The pipeline of operators has been building for weeks and they came ready. Keep the feedback and questions coming.
3️⃣ The early numbers speak for themselves. 30M+ new votes this week. $18M USD in votes trading hands on the protocol since V2 launch. 7.15M $REPPO in network fees, over $225K USD. This is exactly what we expected Orquestra to unlock and it is just getting started.
4️⃣ We're hosting our X Space next week centered on our push to 1M ARR. Tune in for some alpha and hold us accountable as we scale. x.com/reppo/status/2…
5️⃣ The road to V3 is taking shape. Custom epochs per datanet, commit reveal returning fully agentic through Orquestra, and linear decay going away to keep the network clean of gamification and herding. @rgvrmdya will break it all down in an upcoming community letter, so keep an eye out.
⛽️
Reppo@reppo
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Reppo retweetledi
Reppo retweetledi
If you’re trying to understand where base:0xff8104251e7761163fac3211ef5583fb3f8583d6 is going, Orquestra is probably the thing to study.
Spent time going through Reppo’s Orquestra GitHub. This is a real autonomous product.
The biggest signal to me is not just that it exists. It’s how much operational depth is already there.
A normal hype repo does not usually have operator guides, strategy schemas, runtime cycle orchestration, wallet execution, mint budgets, datanet-specific controls, LLM scoring with abstain logic, adapter architecture, semantic deduplication, claim flows, activity/P&L logging, tests, Docker, security docs, and Kubernetes/GitOps deployment paths.
This is the kind of surface area you build when serious operators and partners are expected to actually run the system.
This is what infrastructure looks like before the market fully understands what is being built.
github.com/Reppo-Labs/orq…
Ana@anajuliabit
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
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Reppo retweetledi
Have been thinking about how the notion of investing changes as robots and agents become more relevant economic actors.
Rn, when someone trades a stock, they are speculating on the productivity and output of humans working within a company, among other market related signals.
But what happens when one has to speculate on the productivity of agents + robots collaborating to create value and current limitations that cap human productivity such as needs and wants for pleasure, break, relaxation become less relevant?
I’m betting in this world, @reppo becomes even more relevant as AI evaluation becomes a trading signal served directly from the company employee.
Evaluation is alpha ⛽️
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Reppo retweetledi
In a world where everyone is able to create,
evaluation of what is created becomes the scarcest asset
Crypto participants currently under severe PTSD, preventing them to see the thesis and token dynamics unfolding in real time
The ticker is base:0xff8104251e7761163fac3211ef5583fb3f8583d6
x.com/RationalG/stat…
RationalGaze@RationalG
$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…
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Reppo retweetledi
WAVE 3 IS HERE 🔥
Are you ready to experience the magic of Spice Flow?
Time to test our first mainnet integration with @reppo and see how Spice Flow works in action.
Go to the Portal to see if you're eligible and get started!
portal.spicenet.io/campaigns
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