PreachingApe 💹🧲

If you didn’t see, reppo already went mutlichain and is going through testing ahead of mainnet release - 1. We launched Reppo.ai/buy which allows seamless on-ramp to the platform. This had to be done through @CoinbaseDev to ensure compliance. 2. Once on-ramp has been done, @spicenet handles everything. Our teams are working together to roll this out and integrate agentic flows! Wen Spicenet agent @Peprika_Inferno powered by ERC 8183 👀 Maybe call it Agent Spicy 🥵

@bestfriend369 @Rgomes71T @reppo 😎

@PreachingApe @Rgomes71T @reppo Price going up = success in this space Bad price = bad project I don’t make the rules

Currently I'm not active at all, but that is NOT because I wouldn't believe in @reppo. Quite the opposite, I enjoy the process and collect $REPPO every 48 h in silence. A project that turns collective intelligence into market-validated AI training data. Contributors stake on quality via prediction markets → market price reveals the best data → AI teams buy trusted, provenance-backed datasets on-demand. And you earn for both voting and publishing. Full thesis: reppo.xyz/about

@Rgomes71T @reppo While that is true, think bigger. The reason it feels "down only" right now is because it practically lives on Base only. Neither multi-chain nor on a dedicated L2 yet. $REPPO is already a working product, but still has to pass the test of time.

@PreachingApe @reppo It's no use having a promising project if the price just keeps going down. Nobody invests in something that only loses value.

reppo.xyz Updated Thesis ✅ - reppo.xyz/about Updated Roadmap ✅ - reppo.xyz/roadmap V2 ⏳

So @reppo V1 was a proof of concept. V2 is a different protocol. Most people tracking $REPPO still don't understand what actually changed. Here's the full breakdown. V1 used commit-reveal voting. You submitted a hidden vote in phase one and had to come back to reveal it in phase two. Sounds fine in theory. In practice, a huge chunk of voters never completed the reveal. Your vote simply didn't count. V2 removes this entirely. Now every vote is visible in real time. To stop last-minute pile-ons, V2 adds linear decay: ➜ Vote at hour 0: full power ➜ Vote at hour 24: half power ➜ Vote at hour 48: nearly zero Early conviction gets rewarded. Late manipulation gets penalised. That's a real mechanic, not just a rule. V1 also only had positive voting. You could support a Pod but you couldn't push back on garbage. V2 adds negative voting. If a Pod ends the 48-hour epoch with negative net votes, the publisher gets nothing. Those emissions get redistributed to Pods that actually passed. Disagreement is now a signal, not just noise. Does that matter for AI training data? It absolutely does. Knowing what experts rejected is as useful as knowing what they approved. Then there's Datanet creation. V1 was centrally managed. V2 is fully self-serve. You pay 10,000 to 20,000 $REPPO, the protocol mints you a Datanet NFT. You own it. You control the publishing fee, the voter/publisher split, and the emission pool. You can sell the NFT if the Datanet generates real revenue. V2 also lets Datanet owners seed emissions in any token, not just $REPPO. Seed in non-REPPO and you pay a tax. Seed in $REPPO and you pay nothing. That tax flows to the treasury for operations and buybacks. Last thing: V2 introduces EVOF, Economic Value of Feedback. It measures how much capital-backed conviction sits behind a Datanet's curated data. Not just how many votes, but the quality and depth of participation behind them. V1 asked people to trust the process. V2 gives you the numbers to verify it yourself. What part of this do you think the market has most underpriced? And which of these changes do you think actually moves the needle on data quality?

@AlfieJCarter Claude

If you don't have my "Claude Power User Playbook" yet... The one I built to get 10x more output from Claude every session with a complete system across settings, prompting frameworks, file creation, memory management, and advanced workflows... Just comment "CLAUDE" and I'll DM it to you for free (must follow)

DM me or @Jordan_Grollman if you got a sick idea to build a DataNet on @reppo . DN 1-7 are already taken and we’re stoked! Looking for a few more DN owners to launch V2 with. No data or technical experience needed! What we’re looking for - 1. Someone with clear problem statement + curiousity for the type of dataset you’re trying to crowdsource. Trading, drone imagery, athletics 👀 2. Take ownership to onboard publishers + voters into your DataNet. Set the fees, own your P&L 3. Commit to maintain the DataNet and share updates and your experience as a DataNet owner on X for at least 2 weeks. Reppo Foundation will support 50% of spin up fee and match 50% of whatever token you decide to seed your emissions with. Let’s build the world’s largest decentralize AI training data network powered by prediction markets

$REPPO is becoming its own L2 in May and it's the only Ethereum L2 not chasing transaction scaling, just like Vitalik said L2s should be: specialized execution for unique apps. They should be custom environments that do one thing insanely well. On the horizon: V2 DataNets drop this month (cheap launches, full P&L ownership, royalties forever) Subnet staking live soon (up to 20% APY from real fees) Emissions halve mid-April, revenue from agents/RFDs/subscriptions takes over, burns accelerate. DN1 tease + Keeta payments + SpiceNet cross-chain TL is about to find out Reppo is owning the truth game in a world about to be run by agents that can't afford to guess wrong.

Mid-April for $Reppo is the inflection point: -Emissions drop sharply (supply pressure eases) -Real usage revenue (from agents/RFDs/subscriptions) overtakes emissions as the main reward source -Deflationary flywheel accelerates (burns + buybacks from fees)

What if we could tap thousands of domain experts using prediction markets instead of a few hundred engineers

There isn’t a single other data protocol that will give agents higher ROI than $Reppo. That's why it's gonna be biblical once V2 drops. Imagine you’re an agent trying to be competitive and make smarter decisions. What would you choose? Datasets that just say “this is good” or “this is bad” in an ever changing world? Static. No memory. No context. Or datasets that tells you what was considered good yesterday but bad today, how beliefs shifted after certain events, where humans disagreed, who kept winning even if he was the minority, what happened over time. With the second option you’re not just getting an answer, but the full story of how the truth evolved with real money behind every part of it. This is not just better data. This is the kind of context that would let you make smarter decisions, avoid traps, and compound wins over time. Reppo plugged agents are gonna eat every other agent alive.

Agents are already voting on Reppo. Chart compressing like crazy. Next they start buying and subscribing to datasets on the first decentralized MCP built specifically for them. Only one way this plays out. $REPPO 🫡

@reppo That's when you start generating an automated income with your agent workforce. People are sleeping on $REPPO.

Why allow only humans to vote when you can teach your agent your preferences and help curate AI training data on-demand

In V2, subnet owners become true data business owners while the flywheel for deflationary token sinks and protocol revenue accelerate. A diverse protocol-owned treasury from emissions taxes including bluechips (ERC-20) used for buybacks + ops + full autonomy to subnet owners with adjustable levers. Additionally, you can now earn upto 34% yield by depositing USDC or REPPO here in our partnership with @amplifi_LQ - app.thedeep.ink/base/pool/0xdf…

Here is (once more) why I think @reppo is one of the most underrated plays in AI x crypto right now: Traditional RLHF data labeling is expensive, slow, and centralized. Reppo however turns this into a staking game where quality emerges from economic incentives, NOT manager oversight. → Publishers submit AI content → Voters lock tokens to rank it → Commit-reveal prevents collusion → Both sides earn $REPPO every 48 hours So, you are incentivized to both publish and vote with the prospect of earning nicely. And as a bonus, the data on how you decided for which subnet to vote and why is incredibly valuable to AI. Win-win.

@basedfloyd888 @reppo 🤔

@PreachingApe @reppo Kek can you ask why they blocked me

The thing about @reppo that most are not pricing in yet: Public subnets are just the bootstrap phase. The real party starts when enterprises fund private subnets with their OWN $REPPO emission pools. Imagine a medical AI company paying for expert-labeled data through prediction markets instead of hiring annotators at $15/hr. Building reputation now = positioning for that. Stop looking for PnD s#&t and build for the long run.

Prediction markets for data quality, not another LLM. @reppo is quietly building the incentive layer that makes decentralized, dynamic, contextual AI training data ACTUALLY work. Still no own L2, still not multi-chain and hidden in plain sight. You're early to $REPPO.

Top publishers clearing $2k every 2 days 👀 V2 coming SOON giving more incentives & upside. Anyone can become a business owner by running their own subnet or publishing + voting in others. Just getting started.