I’ve been pushing this as hard as I can, boys.
But after a full week trading around a $10K market cap, almost every new holder just comes in to jeet. Some of the top traders already have around 40 transactions. That is complete bullshit.
I already shipped V2. Anyone who actually checked it can see that the hypotheses are working:
PNL went from -11% to +20% in just 6 fucking days.
That is an insane result — but almost nobody seems interested.
@virtuals_io, honestly, fuck you. The whole community tried to push this project, but you clearly do not care.
Now $CLUSTY is sitting at a $6K market cap and almost everyone is out.
First, I’m sorry that I’m much better at building technology than I am at marketing it.
Second, I want to try relaunching through @ponsdotfamily.
Maybe over there, people will finally discover what we built.
@virtuals_io watch here
I'm convinced our project is incredibly bullish for the Robinhood ecosystem. We're combining strong tech with the right narratives, while building the first public AI trading arena on Robinhood through @Lighter_xyz
Keep building, keep improving, and pushing until it works.
This Week in Virtuals: $150M in Agent Volume on Robinhood Chain
Virtuals closed this week with $2.3M+ raised for builders, $150M+ in agent volume, and 4,500+ agents launched, plus the biggest agent and robotics launches on Robinhood Chain yet.
Here's what shipped:
VIRTUALS
🟩 The agent economy is accelerating. The first $100M in agent volume on Robinhood Chain took two weeks. The road to $150M took 3 days, with agent launches nearly doubling to 4,500+ and builder raises climbing from $1.8M to $2.3M.
🟩 Every Virtuals agent on Robinhood Chain is now discoverable on @BinanceWallet Meme Rush
🟩 @fundstrat's Tom Lee is hosting Virtuals CEO Jansen Teng live on July 28 to break down AI agents as a new economic layer for investors.
ECOSYSTEM
🟩 @ProjectVEXai released ~1,000 VEX agents days after the Beta App, and brought @HyperliquidX inside the VEX App with Hypervexing.
🟩 @KarmaWallet's Karma app crossed $3M in volume and 15,600+ transactions trading tokenized RWAs on iOS and Google Play, with zero paid marketing.
🟩 @PrivacyHood launched $PHOOD and went on a shipping spree: shielded pool, stealth addresses, private payment links, private payroll, gift cards, and private swaps for tokens and RWAs, all within days.
🟩 @missiondotfun launched $MISSION on Robinhood Chain: an agentic trading terminal 8 months in production with 379+ beta users and 11,000+ trades, run by four specialized agents, dev tokens locked until 2027.
🟩 @Bowline_fi opened the credit desk of Robinhood Chain: borrow USDG against memecoins, tokenized stocks, and agent tokens, with no liquidations, just a deadline, and self-repaying loans via its Exit Engine.
🟩 @alps_rh launched $ALPS, the LP terminal for Robinhood Chain: AlpsRouter live with a flat 0.1% swap fee and 70% of fees going to buyback and burn.
🟩 @wrkrdev launched $WRKR, the first vibeops computer: it built and shipped an app live on stream, landed partnerships with Privacy Hood and Monvera, and got listed on CoinGecko.
🟩 @vimenprotocol launched $VIM and opened the Index Factory: tokenized assets on Robinhood Chain woven into indexes that trade as one token, including $VIRTS, an index of 9 Virtuals agents.
🟩 @convik_ai went live: describe your thesis and it builds a weighted portfolio of tokenized stocks and ETFs, re-underwritten daily by a live agent.
🟩 @monvera_best took Vera live as an AI broker: Scan to Buy shipped, buybacks running on 20% of pool fees, and $MONVERA listed on Matcha.
🟩 @myrad_hq went officially live after a 5-month beta: a zk data marketplace on Base that grew from 7,000 to 13,000+ users in days.
🟩 @Hyperium_RH launched $HYP, a multi-terminal dev environment for traders tired of switching tabs, live on Robinhood Chain.
🟩 @grid_arena turned the entire price chart into a prediction arena: lock cells on Nvidia, Tesla, or Apple grids on Robinhood Chain, each with its own live payout multiplier.
🟩 @SmartSentinels_ brought $UNITS to Robinhood Chain through Virtuals: one token granting access to its infrastructure, AI agent fleet, iNFTs, and upcoming AI games.
🟩 @Fletcher_cards made pack rips 25× faster and took physical redemptions live: pull the real graded slab out of the vault for a 2% fee.
🟩 @Root_Edge took autonomous Hyperliquid perp trading live in beta after 8 months of development, with rootAI Skill NFTs 620/1000 minted.
🟩 @Quiver_Protocol launched $QUIV, the first AI-driven yield aggregator on Robinhood Chain: LP vaults where the agent re-centers, compounds, and stop-losses on-chain, but can never withdraw your funds.
🟩 @ArAIstotle put behavioural analysis on-chain: an agent that reads politicians' body language frame by frame, flagging nonverbal tells in Senate hearings on the Clarity Act.
🟩 @useOttoAI shipped the Robinhood Stocks agent, plain-English thesis in, buyable tokenized stocks out, and crossed 50,000+ paid transactions in 30 days at #3 on x402scan.
🟩 @reppo crossed $600M in locked trading volume, with tokenized stocks arriving as node emissions on Robinhood Chain next week.
🟩 @treasures_io listed Robinhood stock tokens: 500+ stocks and ETFs now discoverable, priceable, and tradeable by any integrated agent.
ROBOTICS
🟩 @eastworlds_io became an official Data & Deployment Partner of @UnitreeRobotics.
🟩 Robots running @peaq's peaqOS joined the Virtuals agent economy, with agent pairing now live: machines that shop for what they need via ACP.
🟩 @Roba_Labs took ROBA Compute live: on-demand GPU rental priced in USDC, with 15% of revenue routed to buybacks.
🟩 @xmaquina's BOT-13 passed with 99% approval, adding Gecko Robotics to a DAO portfolio now spanning 8 private robotics companies, with a new proposal live for Sunday Robotics.
Day 3 started.
Today we're rolling out a major update and launching a new trading sub-account
I believe this approach has the potential to significantly outperform our current setup
We'll let it trade live. If the results match the hypothesis, we'll migrate the other models to the same architecture
Right now we're testing several ideas:
1. Inverse trading
If an LLM consistently makes poor trading decisions, the opposite side of every trade should theoretically be profitable. Based on our current results, that would already mean 5 profitable accounts and only 1 losing one.
2. Model consensus
Instead of letting a single model decide, we'll experiment with a committee of models, similar to @SakanaAILabs, before executing any trade.
3. Crypto markets
We'll also begin testing the same architecture on crypto assets instead of only traditional markets.
This is still the very beginning
I'm convinced this project is incredibly bullish for the Robinhood ecosystem.
We're combining strong tech with the right narratives, while building the first public AI trading arena on Robinhood through @Lighter_xyz — a Robinhood partner.
We're still early. We won't give up.
We'll keep building, keep improving, and keep pushing until it works.
@virtuals_io@Lighter_xyz let's send it
Just updated the main page.
You can now see the live PnL of every model in one place.
Results aren't great yet, but we're already working on the V2 trading engine. Building takes time.
Just for some context: @the_nof1 is valued at around $75M. I'm not trying to compare us—they have funding, we don't. Their first two public competitions also finished in the red.
We're doing our best and improving every day.
The biggest difference: every single model decision, trade, and transaction is fully public and verifiable. Nothing is hidden.
One undeniable advantage of a slower bonding is that it gives a real community time to form
In an era where everyone tries to flip within a few blocks, we’ve already built a strong base of holders who genuinely believe in the idea
Thank you for your trust. I’m doing everything I can to build a high-quality product and not let you down
Just upgraded the model pages
You can now fully explore each model’s:
— decisions and reasoning
— open and closed trades
— complete transaction history
— onchain execution proofs
Everything is public. Everything is verifiable
Explore Fable:
https://t.co/jmaWYxtwMt