The network has crossed 8M in fees, verifiable on To align with the schedule outlined on we have locked 2M base:0xff8104251e7761163fac3211ef5583fb3f8583d6 allocated to staking rewards

V2 for @reppo was a massive success, but as they bring the protocol forward. Here's what's actually shipping in Reppo V3. Two upgrades. Both attack the same constraint: one clock, one chain. Right now every Datanet settles on the same 48 hour cycle, no matter what it's evaluating. A breaking news market and a robotics simulation are forced onto the same timer. Why should a breaking news market and a slow robotics sim ever run on the same clock? First upgrade: custom epoch settlement, per Datanet. ➜ Misinformation markets settle in hours, because the signal decays with the news cycle ➜ Robotics and physical trajectory markets settle over days, because the judgment is deliberative ➜ Inference-time RL settles fastest of all, because a live agent can't wait two days for its reward Second upgrade: cross-chain emission seeding, beyond Base. ➜ Any project on any major chain can now fund a Datanet in its own token ➜ The 15% non $REPPO tax still applies, so every new chain becomes new buy pressure flowing back to Base ➜ Tokenised stock emissions coming from Robinhood chain via @sherwoodagent One protocol, many clocks. That's the actual unlock. Not a new feature bolted on, a constraint removed from both sides of the market at once. Renewal already sits at 97-98%, before any of this ships. That's capital choosing to stay, epoch after epoch, on the old system. Phase 2 tests this at scale: hundreds of Datanets, recurring revenue RWA and DePIN verification is next, same machine, bigger target. My targets are $100m + in the next bullrun... whats yours?

At its peak, Sun Microsystems was valued at 205B (394B if inflation adjusted). Sold software in enterprise servers. Got disrupted by Linux, x86, and commodity hardware. Ended up selling to Oracle for 7.4B, losing 96% of its value. Open source models running on local hardware can have a similar impact given what’s going on.

And that ladies and gentlemen is the orquestra bet going mainstream @reppo Everyone said you needed humans to sit and label but as we are seeing, economic stake backed AI agent swarms optimized for truth seeking inside prediction markets is the most viable solution and should be obvious with the upcoming release of the evaluation API.

I thought data companies are going to die, I was wrong. Instead, they might end up being the kingmaker. They’re selling shovels. They are going to continue growing a lot more. Surge will probably have the reputation of Anthropic in less than 18 months. Compute is no longer a sustainable edge, researchers change labs & carry their experience with them - data is THE differentiator. Labs will be forced to buy a lot more data & vertically try to penetrate different industries. This has already been proven with Anthropic’s focus on coding. But GitHub for other industries don’t exist. Data companies with strong research muscle & domain expertise will dominate. As intelligence penetrates enterprises a lot more, their dependence on a few labs will reduce as well. It’ll be extremely difficult for other companies to pivot into this business because the combination of operational muscle + research you need can’t be built overnight. That DNA is critical to do this work. We of course have a million companies doing this business but extremely few that genuinely push the frontier forward. We “need” a lot more of those who can partner closely with labs to help build the most critical technology of our lives.

It took us 4 months to hit 500M and only 17 days to hit the next 100M in locked base:0xff8104251e7761163fac3211ef5583fb3f8583d6 trading volume! As oruquestra nodes scale, we expect to hit $1B in trading volume well ahead of schedule. 2M base:0xff8104251e7761163fac3211ef5583fb3f8583d6 will be locked and allocated to datanet staking as the network reaches 8M in fees. Given our engineering team's focus to enable RH and RWA emissions, the datanet staking is delayed by two weeks but still on Q3 shipping pipeline.

New chains, new rankings, new ways to earn at @Reppo. Here's what's going on: 1️⃣ We are opening our doors to the @RobinhoodApp chain crowd. Starting next week, datanet owners can seed emissions in RH tokens and voters & publishers will earn them directly. No changes to the core protocol, the locking mechanics, or active Base contracts. Just a new opportunity to tap into activity and a new community from a new chain. 2️⃣ Reppo officially cracked the top 1000 projects on CoinMarketCap and CoinGecko this week. A milestone worth marking, but we're not slowing down anytime soon. Top 100 is next. 3️⃣ An affiliate program is in the works with our partners at @Replycorp. Direct incentives for active participants to earn emissions by bringing new voters, publishers, and datanet creators into the network. Growth that rewards the people actually driving it. 4️⃣ Orquestra just went through a significant overhaul. Aesthetic optimizations, performance improvements, and better data collection across the board. If you're running an active node, upgrade to the latest version to get the best results. 5️⃣ Strong progress on the datanet staking & updated tokenomics mechanism, shipping alongside V3. We're setting up a new attribution based launch model where anyone can pay a fee in stables to launch and seed a datanet tied to a project, with fees split 50/50 and the resulting dataset co-owned. All proceeds go toward buying and burning $REPPO, on top of our existing offchain buybacks. Going forward, future burn milestones will route 2M $REPPO into the datanet staking reward pool rather than burning, with a public wallet so the community can track it live. @rgvrmdya will cover the full details on the upcoming X Spaces. ⛽️

>ipo at trillion >retail all lose money >ipo no demand >vc no exit >vc no money >builders no vc >builders tokenise >retail make money >vc raise from retail >vc as sophisticated retail tokenisation wins forever

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

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.

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 -

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

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.