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RGRIDrobinhood
Baki

Took a gamble on $RGRID. 0x807052602a8e74e6ce6d8cd7111425deca4a25e3 We’ve already watched multiple decentralized compute projects cross $1M+ market caps, and most of them ran because the narrative is simple: AI needs more compute, while mil…
RGRIDrobinhood
Baki

$RGRID is officially live on @RobinhoodCrypto Chain. CA:0x807052602a8e74e6ce6d8cd7111425deca4a25e3 RobinGrid powers machine to machine AI compute connecting idle GPUs (RTX 4090s, A100s, H100s) to developers and autonomous AI agents for LLM …

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RobinGrid

RGRIDRobinhood
0x807052602a8e74e6ce6d8cd7111425deca4a25e3
Project description from GG

The decentralized AI compute grid. Turn idle GPUs into passive income.

@robingrid_WebsiteRead dossier here

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The thesis

$RGRID is officially live on @RobinhoodCrypto Chain. CA:0x807052602a8e74e6ce6d8cd7111425deca4a25e3 RobinGrid powers machine to machine AI compute connecting idle GPUs (RTX 4090s, A100s, H100s) to developers and autonomous AI agents for LLM inference, rendering, and fine tuning. Token Utility: • Automated smart contract escrow for agent to node job bidding • Onchain payouts for node providers sharing idle VRAM • Micro payments for instant container container deployment 🔍 Curated by @bakixdo ✍️ Original thesis by @robingrid_ 🔗 https://x.com/robingrid_/status/2085472533151965568
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Dossier: RobinGrid

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token-live · medium confidence· Written Sep 8, 2026, 12:23 AM UTC

RobinGrid is a claimed GPU marketplace on Robinhood Chain. Operators run a node daemon that advertises idle GPUs; developers and agents query by model, region, latency and price, then dispatch containerized jobs (LLM inference, image generation, fine-tuning) through an npm SDK or REST API. The project claims L2 escrow and onchain payouts for completed jobs.

Readout

price
$0.00000359
24h vol
$0.00
mcap
$3.6k
liquidity
$279.81
holders
26
24h
0.0%

mint not renounced

calls on gg
2
first called at
$11.0k
since
0.33x

Last onchain reading for RGRID on robinhood, not live. gg records that someone called it, never that they were right.

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Notable

  • @robingrid_ (created 2026-08-06) posted $RGRID at 0x807052602a8e74e6ce6d8cd7111425deca4a25e3; GeckoTerminal lists that token with ~26 holders and ~$3.5k FDV.
  • Site and docs at robingrid.xyz plus npm package @robingrid/sdk 0.1.0, published 2026-08-06 with a handful of weekly downloads.
  • Homepage claimed 3 nodes online, 1 job executed and $118.7 total payouts, and listed H100/A100/4090 inventory including a Lambda Labs-named node.
  • Name collision: a different Robinhood RGRID at 0x3ad2ad460be97324197e24d4702857946108b5ca is listed on OpenSea as an RWA token.
  • No public GitHub; npm SDK defaults to api.robingrid.ai while docs use api.robingrid.xyz.

Unverified

  • Team is unnamed; no GitHub repository found.
  • Whether marketplace GPU listings and job/payout stats are real vs mock.
  • @robingrid_ is a GG-supplied lead; live X search returned no posts from the handle.
  • No audits or named backers found.

Project discussion, shared with its dossier and every GG call linked to this project.

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Other theses on RGRID

Baki

Took a gamble on $RGRID. 0x807052602a8e74e6ce6d8cd7111425deca4a25e3 We’ve already watched multiple decentralized compute projects cross $1M+ market caps, and most of them ran because the narrative is simple: AI needs more compute, while millions of GPUs worldwide are sitting underutilized. RobinGrid is going after that exact opportunity by building a permissionless marketplace where GPU owners can provide computing power and earn from idle hardware. The network is designed to route AI workloads based on GPU specifications, VRAM, latency, reputation, availability and real-time pricing. That means developers can access compute for LLM inference, fine-tuning, image generation and custom containerized workloads without depending entirely on centralized cloud providers. Of course, this is still an early gamble and nothing is guaranteed. But when similar compute plays have already shown they can reach $1M+, I’m willing to take the risk on one entering the market this early. If the team executes, ships consistently and gets real GPU providers and developers onto the network, $RGRID could become much bigger than its current valuation suggests. High risk. Strong narrative. Real product direction. I’m in. ✍️ Thesis by @bakixdo 🔗 https://x.com/bakixdo/status/2085503382543085615