‘ @userofinfo

@jacobandreou We are addressing this using prediction markets where a learning loop where human capital continuously compounds into token capital. @reppo reppo.xyz/reppo-whitepap…

Silence and discipline the wins will mount

I've seen this shit repeated and it's just not true Currently $BOT is trading at a 5x Premium to NAV, you're effectively paying $705M for a company with $140 worth of assets I have their RoboStrategy - Semi Annual Report 02.28.2026.pdf which they conveniently removed from their Official website, was hosted on investor-relations page which has now been deleted. And it says the fair value is "measured determined on the most recent financing round", so all those assets are already priced at their latest round I wonder why this PDF was conveniently removed from their website? Also most of these companies are actually trading at a discount on secondary platforms right now (ie: Figure last round was at $40B and it's trading at $30-35B on secondaries), which would put the premium even slightly higher compared to that latest report. So unless they deliberately deceived investors with a fake report, $BOT is trading at a 5x Premium to NAV

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DaddyPatrick @patrickthedaddy

3 days ago

honestly been sitting on this for a while before posting but here it goes the robotics space is at an inflection point that most people are completely missing. everyone's talking about AI, everyone's talking about SpaceX, and yeah those are real - but both are essentially priced

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74K 3 days later @reppo most ai systems consume training data reppo may be one of the few systems that manufactures new training data every time someone uses it every use of the network makes the network smarter, more trusted, more valuable the product creates the asset and the asset improves the product

px @px_721

4 days ago

think emission based networks eventually become an artifact of the past paying subsidies and hoping demand arrives makes less sense to me than demand arriving first and funding network participants $REPPO has already generated ~$32k in fees within ~6 months people dismiss that

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Despite the negative sentiment, the number of meaningful wallets that hold between 1K-5K $ICP (Dolphins🐬) and 5K-10K (Sharks🦈) continues increasing 📈 Data: @icterminal

pro tip - mix your @rektdrinks FaZe W Melon powder with SOL berry h/t @shivst3r

CEO of @PaloAltoNtwks understands @reppo “value could accrue to the application and proprietary data layers.” One day, the rest of world will do too! Btw we are just 75M Locked base:0xff8104251e7761163fac3211ef5583fb3f8583d6 in trading volume from our Q2 roadmap! Should be achieved by mid June given all new Datanets and volume. Locks are increasing as well ⛽️

Nikesh Arora @nikesharora

a day ago

The frontier model problem is a breadth versus depth problem. Consumer needs breadth, the wider your aperture, the more relevant your model. Breadth suffers from a false positive problem, it ranges between 10-30%, with clever prompting and checks you can hit the lower end of the

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$Reppo is becoming the market-based coordination layer for improving intelligence. Not just data, not just prediction markets, not just AI training. The deeper asset is deciding what should be learned from, whose judgment deserves trust, and how specialized AI systems improve over time. And they are entering the most exciting phase - Paying Enterprise Customers. This combined with Orquestra will be the explosive catalyst that validates Reppo at scale.

px @px_721

7 days ago

next phase will be v interesting reppo.xyz/roadmap

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$REPPO up ~120% in 8 days. Most people are chasing the price. The ones paying attention are watching the fundamentals stack up in real time. Here's what dropped in the past few weeks: ➜ @ArAIstotle datanet live. 5k $REPPO per epoch, 95% of emissions going to voters. ⇁ That's not a drip. That's a yield engine for active participants ➜ @exylos_ai datanet live. Skills marketplace for robotics, MCPs for robots. ⇁ Fees charged in $EXY, pulling external token utility into the Reppo flywheel ➜ @playableai enterprise expansion. YC-backed. ⇁ Creators earn 5k REPPO every 2 days publishing games on @reppo ➜ @BaselineMarkets BLV floor growing. LPs earning ~3-5% APY on top of datanet rewards. ⇁ The protocol's liquidity layer is getting stronger every week ➜ 6x fees in 10 days. Targeting 5m fees by end of month. ⇁ 2m REPPO permanently burned, earned from real access and publishing fees ➜ 133.5m $REPPO locked. Lock renewal rate at 97-98% per epoch. ⇁ Avg lock per user now 1.45k $REPPO. Holders are not leaving ➜ HIP-4 staking upgrade incoming. Network fees route straight to the burn. ⇁ Less sell pressure. More deflation. Every new datanet compounds this Three datanets live in around a week. Orquestra node beta rolling out to builders next week. The fee base grows with every single launch. ~3m fees in 6 months. Real users paying to consume the network. No emissions padding the number. What does a 97-98% lock renewal rate tell you about what holders actually think?

People are seeing $REPPO price move and assuming buyers are finally starting to show up. But the more interesting part is who may be buying. Datanets appear to be market buying. Each new Datanet is not just another app launching on Reppo. It is another specialized data economy, another source of demand, and another spoke in the flywheel. Publish → vote → earn → fees → burn → more Datanets → more usage. This is all happening before most people even realize what has changed. And before Orquestra even goes live on 6/16. One month from now, it is entirely possible the numbers we see on Reppo Stats today look tiny. 10–20x network activity no longer feels like hyperbole. It may just be the system mechanics starting to work. Of all the 100X you have seen in the past - none of them created an automated, agentic, economic flywheel at 7 M mcap designed to take it to billions without needing any retail interest at all. This is totally different.

Reppo @reppo

a day ago

The @exylos_ai datanet is live! The team has market bought and seeded incentives in Fees are charged in $EXY, bringing new utility to their token and holders. Exylos is building a skills marketplace for robotics (MCPs for robots) They are leveraging @reppo's prediction

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3M REPPO in Fees crossed! An additional 580K REPPO burned basescan.org/tx/0x75ba9b02e… Our next network KPIs are 5M in fees and 500M in trading volume.

Internet Computer dangerously close to hitting 300B transactions... @dfinity's Internet Computer has now surpassed a MASSIVE 290 billion mainnet transactions, according to @chainspect_app data. The $ICP network consistently leads Chainspect's scalability rankings and, with it hitting new onchain milestones on what feels like a daily basis, 2026 could be looking strong for the $ICP community...

i think the @reppo network becomes a producer of training data not just a consumer of it the byproduct of network activity is a growing dataset of human judgement under uncertainty every publication, vote, disagreement, strategy adjustment and capital allocation leaves behind a record of what someone believed, how strongly they believed it and whether they were ultimately right the dataset may end up being more valuable than the individual datanets themselves

Call me a hater but I think living in a world where both trillionaires and global poverty coexist is a sign humanity has failed as a species

DiscussingFilm @DiscussingFilm

3 days ago

Elon Musk has become the first trillionaire in history.

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It’s always good to have a choice. Look at these beauties. Among them… …Liquidated Lime, where it all began ….Moon Crush, with its amazingly refreshing taste …Sol Berry, my current favourite And the team keeps shipping like there‘s no tomorrow. RWD. @rektdrinks @osf_rekt @iliketabz

the whole article is basically arguing ai development becomes crowdsourced 90% is spent discussing how incentives must work = exactly what @reppo is building an incentive system for improving data quality "the crowdsourced training stack will define the specialization era" the part i think is still underexplored is judgement the paper talks about datasets, rl strategies, compute, loras and model ownership dataset = can tell you what happened judgement = tells you what mattered if the future is thousands of specialised models, deciding what those models should learn from becomes equally ( imo probably more ) important than the data it learns from judgement is very scarce but very needed

Karthik Senthil @karsenthil

7 months ago

x.com/i/article/1986…

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Capitalism is better than socialism because one man gets to be a trillionaire instead of everyone having healthcare

A growing number of enterprises are waiting for $ICP cloud engines: youtube.com/watch?v=ip83cN… This summer, DFINITY will start distributing promo codes for creating engines that run for 2 weeks for free, over Internet Computer nodes. TVL in DEFI is dropping, the number of hacks in Crypto is at an ATH. Meanwhile, DFINITY & the Swiss Subnet are onboarding institutions. The big shift has started.

6x fees in 10 days! We aim to cross 5M by EOM through datanet + enterprise expansion Earn in base:0xff8104251e7761163fac3211ef5583fb3f8583d6 , burn in base:0xff8104251e7761163fac3211ef5583fb3f8583d6

Reppo @reppo

2 weeks ago

Network revenue quickly approaching 500k REPPO! As 5 more datanets launch in June 2026, we are confident that we will hit half a million in network revenue. Instead of Reppo Foundation practicing buyback and ❤️‍🔥, users market buy $REPPO and pay the network. As a reminder, of

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@dailydirtnap How much money has been thrown at it? Out of curiosity, do you know?