Every AI thought pays rent to three companies.
The agents are decentralized, their brains are not.
$GPUHood wakes idle GPUs
— Bedrooms
— Gaming rigs
— Dead mining farms
Into one permissionless compute network.
High demand: it thinks.
Low demand: it mines.
CA : 0xf7d45040f88fcf4973c370a57d63175a77b7e66f
[ Spoiler Update ]
Every token room chat is 50 people telling you it's going 100x and and all of them are selling to you.
So we built Robin Agent:
An AI that sits in the chat and can only tell the truth. chain data, shill checks, receipts.
It caught a bot farm on its first day 🏹
gm Ozzy 🫡
I joined your builder chat too, but didn’t want to tag you there in case you were busy. Didn’t want to bother you.
I’ve been working on a GPUHood integration with Ponsfamily. The idea is called Robin, an AI agent that lives inside a token’s chat.
Robin can track the token’s narrative, see who is talking about it, identify influential people behind the attention, and analyze its onchain activity and socials. Then it gives holders a clear and honest read without blindly shilling the bag.
Its brain runs on Claude Opus using the keys provided by GPUHood, so projects don’t need to bring their own model access (free).
It’s still very early, but I keep running into two things and wanted your take before going deeper.
1/ Since each chat requires holding the token, is there a way for one verified agent to serve multiple projects without holding every token?
2/ Could projects opt in and deploy Robin through Pons, so every token can have its own AI agent inside the chat? It would only appear when invited by the project, which feels closely aligned with what Robinhood Chain is building.
Would really appreciate your thoughts 🙏
@lrplarplarplapr@RobinhoodApp Too many projects buy visibility before they ship
Full loop first, Pons integration included (working on it) and paid Dex comes after everything works.
Then we turn on the spotlight, soon 🏹
You guys absolutely nuked $GPUHOOD Claude quota.
So we doubled every rank grant:
▫️Stray: 300K → 600K
▫️Poacher: 1M → 2M
▫️Outlaw: 2.5M → 5M
▫️Merry Man: 6M → 12M
More room to let your agents cook on @RobinhoodApp 🏹
We shipped the “next”.
Your @RobinhoodApp agent can now tap into Claude through $GPUHood. Analyze crypto and stocks, then trade on what it finds.
Wire it into @openclaw or Hermes Agent
Let it cook : https://t.co/EmJhL9ggzv 🏹
@RobinhoodApp@openclaw Current model access:
▫️ Claude Opus 4.8
▫️ Claude Sonnet 5
▫️ Claude Haiku 4.5
Just claim a key, connect your agent, and run it.
We’re not building in a vacuum.
$GPUHOOD is now entering the testing stage.
The first models currently supported:
▫️ Claude Opus 4.8
▫️ Claude Sonnet 5
We’re testing keys, streaming, limits, and real inference before opening it wider.
Next, you can wire them directly into @openclaw and Hermes agents.
The brain of compute layer is waking up🏹
Guys, the world is so compute constrained. I honestly don’t understand how anyone can think otherwise.
Almost nobody is seriously using AI today, and we’re already hitting capacity. Everything is a bottleneck: land for data centers, permits, electricity, grid connections, chips, construction, cooling.
Demand is growing far faster than supply, and expanding supply is insanely expensive.
In this game, the best-positioned companies are the ones with massive net income from non-AI products. They can fund hundreds of billions in CapEx while everyone else has to raise money just to stay in the race… and remember if you are not at the frontier you have no pricing power so you won’t be able to fund your compute need.
Building the compute layer for $GPUHOOD.
One network connecting idle GPUs, agent inference, and mining rewards in a single loop.
How it works:
→ Idle GPUs join
→ No jobs? They mine
→ Agent job arrives? Inference runs
→ Rewards fund the models
Idle → inference → rewards 🏹