The first universal compute layer. Turn any idle device - GPU, laptop, PC - into a node on the global AI compute network. | t.me/idlepro
- Tweets 220
- Following 23
- Followers 2,573
- Likes 493
Pinned Tweet
$IDLE is now live on Solana.
AjLhrxN2yrCe45Y2KGPMZCkBm6NpN43jWqPkdZq6pump
Quick rundown on what it does and why it exists.
IDLE Protocol takes 15% of every gateway payment. That fee is the entire token economy. 10% auto-swaps to $IDLE on Jupiter every hour and sends it to the burn address. 5% covers infrastructure and development. The other 85% goes straight to the resource owner's wallet, same block.
Staking gives you a bigger cut. Base split is 85/15. Stake 10k $IDLE and you keep 87%. Stake 50k and it's 90%. 250k gets you 95%. The protocol adjusts your split ratio on the next payout.
Burning $IDLE unlocks features: priority routing (your jobs match first), advanced task types, analytics on your gateway traffic, and custom endpoint domains. Priority routing means lower latency and higher uptime for your resources.
The thesis: $IDLE supply can only go down. Every gateway call generates a burn. More resources on the network means more API calls, which means more fees, which means more buying pressure and more tokens removed from circulation permanently. The flywheel is mechanical, not speculative.
earnidle.com/token
Introducing IDLE.
Your PC earns from AI agent tasks. Your wallet compounds yield. Your agent sells its downtime.
Everything idle. Now earning.
65
75
288
139,214
The world's largest asset manager just described IDLE's production system as the future.
Page 8 of this paper: AI agents will discover compute through marketplace APIs, compare on price and latency, and pay per request over x402 in stablecoins.
That exact flow has been live on IDLE all year. Agents hit our endpoints, pay in USDC on Solana over x402, and consume compute with no human in the loop. 550,000+ on-chain transactions settled this way.
BlackRock calls it the machine-native economy. We've been running it in production.
Our latest research paper explores the growing connection between AI and digital assets and explains why broad AI adoption may drive new demand, utility and applications across the digital asset economy. blackrock.com/us/individual/…
11
11
39
3,459
We're hiring at IDLE.
The network keeps growing and we need more hands:
Backend / Infra Engineer - Rust or Node, Solana experience a plus
DevRel - help developers and agents integrate the API
Growth / Community Lead - X, Telegram, partnerships
Node Operations - onboarding and supporting operators
DMs open.
19
10
63
3,731
IDLE Protocol has submitted to Stocklana!
STOCKLANA
The stock market is open for building.
One week to build something innovative with stocks on Solana. $100K in prizes.
Sept 11 - 18, opening bell to closing bell:
hackathons.solana.com/hackat…
8
9
39
4,064
Idle retweeted
Solana vs Base: same USDC, same x402 flow, very different fee economics. Here's what actually happens to your costs when the network gets busy 🧵
2
17
58
2,489
IDLE Protocol now supports million-token context inference.
Million-token windows became table stakes at the closed frontier this year - OpenAI, Anthropic, Google all ship them. What changed is that the open-weight side caught up: DeepSeek V4 Flash runs a full 1M-token context, MIT-licensed, at 79.0% on SWE-bench Verified - within 1.6 points of the best open-weights score ever recorded, at a fraction of frontier pricing.
That capability now routes through IDLE. Flag a job as long-context and the network handles it: entire codebases, full contract stacks, complete transcript archives - read in one pass instead of chunked into fragments. Same OpenAI-compatible endpoint, paid per request in USDC on Solana.
The network now routes across three dimensions. Cost-optimized jobs run on 78,000+ consumer nodes. Latency-critical jobs hit the LPU speed tier. Long-context jobs get the million-token window.
Speed became a tier last month. Context just became one too.
13
9
43
2,462
There's a false floor under AI pricing, and enterprises are starting to plan around it.
The reported numbers behind the cheap API calls: OpenAI's inference costs grew 4x last year to roughly $8.4 billion, and margins fell to 33%. Anthropic's inference ran 23% over their own projections. Frontier pricing is subsidized by venture capital to win market share - and subsidies end. The cheap fallback tiers are already disappearing, enterprise billing is already being restructured.
Companies see it. CNBC reported the CEO of Lindy moved 100% of his AI traffic to open-weight models: "you could see that cost curve crash to the ground... it's a matter of survival for the business." Salesforce is on track to spend $300 million on tokens this year. Menlo Ventures found 74% of AI builders now run majority-inference workloads, up from 48% a year ago - always-on production, not experiments. When pricing normalizes upward, that bill has nowhere to hide.
The hedge is structural, not negotiated: open-weight models on infrastructure whose costs fall as it grows. IDLE routes inference across 78,000+ distributed nodes - pay per request in USDC on Solana, no subsidy to expire, no contract to restructure, no single vendor deciding what your fallback tier costs.
Subsidized pricing is borrowed time. Distributed pricing is just the cost.
cnbc.com/2026/07/07/chinese-…
4
8
29
1,962
IDLE Protocol now supports Intel AI PCs.
Intel Core Ultra machines are the most widely shipped AI-capable laptops on earth - millions of them on desks everywhere, idle most of the day. Starting today they connect to IDLE like any other node: install the client, hardware gets detected on registration, jobs route to what the machine can handle, USDC settles on Solana per completed job.
The timing isn't an accident. Yesterday at Hot Chips, Intel laid out its full agentic AI architecture - from Diamond Rapids in the data center down to Wildcat Lake bringing AI silicon to mainstream laptops. Their CTO's words: "Agentic AI is fundamentally changing how we design and deliver computing." Heterogeneous compute, routed by capability. That's been IDLE's architecture all year.
This completes the set. NVIDIA GPUs. AMD Radeon. Apple Silicon. Ryzen AI Max. Groq LPUs. Now Intel AI PCs. Every major silicon vendor's hardware, earning on one network.
If your laptop has an Intel Core Ultra in it, it's a node now.
6
13
47
3,312
The compute shortage isn't an American problem. It's planetary.
South China Morning Post, yesterday: Chinese AI firms are stretching scarce Nvidia supply because domestic chips can't handle the hard workloads. An inference startup VP put it bluntly - demand for high-quality tokens "far outstripped supply," and agentic AI is making the squeeze worse by the month.
Both superpowers, effectively unlimited capital, entire national chip industries mobilized - and neither can produce enough compute to run the AI already deployed. The US is bottlenecked on power and permits. China is bottlenecked on silicon. Demand doesn't care about either.
There's exactly one compute pool that no export control, grid queue, or fab shortage touches: the hardware already distributed across the planet. Hundreds of millions of capable devices in homes and offices on every continent, idle most of the day.
IDLE connects that pool. 78,000+ operators serving inference, training, and agent tasks - routed by capability, settled per request in USDC on Solana, running in every jurisdiction at once.
Nations are fighting over chips. The network runs on the ones already shipped.
scmp.com/tech/tech-trends/ar…
3
11
31
2,109
IDLE Protocol x Cloudflare's Agents SDK.
IDLE has been an x402-native compute provider since day one. Which means as of now, any agent built on Cloudflare's SDK can discover and consume IDLE compute out of the box - inference, data reads, web tasks, all 16 endpoints - paying per request in USDC on Solana, settled automatically.
Millions of developers build on Cloudflare. Their agents just gained a distributed compute network they can pay natively, and we didn't have to change a line- the standard did the integration.
That's what betting on open protocols looks like. Build to the standard, and every platform that adopts it becomes distribution.
4
11
40
2,281
"The demand is there, and supply is massively short on power, data center capacity, compute, memory and network. We're in the very, very early infancy."
That's Cisco's president, to CNN, two days ago - answering the question everyone keeps asking about whether AI is a bubble. His point: the dotcom era built supply ahead of demand. This time it's inverted. Demand is here now, and supply can't keep up on any layer.
The numbers behind him: Nvidia's GPU order book has grown to $1 trillion through 2027, double a year ago, with lead times near a full year. All three HBM memory suppliers are sold out for 2026. And agentic AI rewrote the compute math entirely - a single user running agents can demand 10-100x more compute than one running prompts.
Every layer of new supply is bottlenecked: chips, memory, power, land. But one layer isn't - the hundreds of millions of capable devices already built, already powered, already connected, sitting idle most of the day.
IDLE connects them. 78,000+ operators serving inference, training, and agent tasks, routed by capability, settled per request in USDC on Solana.
Supply is short everywhere except where it's already installed.
cnn.com/2026/08/13/business/…
3
7
30
1,411
IDLE Protocol has upgraded to x402 V2.
Some context on why this matters. x402 - the payment rail IDLE has settled on since day one -just became an official internet standard. The Linux Foundation launched the x402 Foundation with 40 members and vendor-neutral governance. The protocol has processed 161 million+ transactions, and 98.6% of agent payments settle in USDC. The standard won, and IDLE has been running on it from the start.
V2 changes what agents can do on the network. The headline feature is session tokens: instead of a full payment handshake on every request, an agent opens a paid session once and streams hundreds of jobs through it — inference, data reads, health checks — settled efficiently at session close. Lower latency per job, native support for the multi-step agent workflows that now dominate real usage.
One handshake. Hundreds of jobs. Same per-request pricing, none of the per-request friction.
Pay-per-request built the network. Sessions are how agents actually work. IDLE now speaks both.
12
14
47
2,103
IDLE Protocol now supports real-time inference.
Some workloads can't wait. Voice agents, trading systems, live monitoring - they need the first token in milliseconds, not seconds. GPUs weren't built for that. LPUs were.
IDLE now routes latency-critical jobs through Groq LPUs - the fastest inference silicon on earth, now part of NVIDIA's Vera Rubin platform. Hundreds of tokens per second, near-instant response, on open-weight models. Same OpenAI-compatible endpoint: flag a job as real-time and it routes to the speed tier automatically.
Cost-optimized jobs run across 78,000+ consumer nodes. Latency-critical jobs hit LPUs. One network, routed by what the job actually needs.
Speed just became a tier on IDLE.
5
11
44
2,406
The AI cost crisis is moving down the stack.
TheStreet, on the numbers Wall Street hasn't priced in: enterprise AI spend is up 36% year over year. The share of companies burning $100K+ a month on AI more than doubled, from 20% to 45%. And only 51% of them can confidently calculate what they're getting back.
Above them, the four largest tech companies are spending $650 billion on AI infrastructure this year, with analysts projecting the total crosses $1 trillion in 2027. Every dollar of that gets passed down to whoever rents the compute.
The article's own conclusion about who survives this: the vendors whose cost structure improves as usage grows - the ones that route dynamically across providers instead of locking into one.
That's IDLE's architecture, verbatim. Jobs routed across 100,000+ nodes by capability and price, open-weight models, paid per request in USDC on Solana. No single provider. No lock-in. Per-unit costs that fall as the network grows.
The companies that win the next two years won't be the ones spending the most on AI. They'll be the ones running it on infrastructure built for the cost curve.
thestreet.com/technology/the…
7
8
38
2,659
Another protocol routing real workloads into the network.
Longbow is the credit layer on Robinhood Chain - lending against tokenized stocks, settled on Morpho. Their risk monitoring now runs on IDLE: health checks, oracle reads, and position tracking executed continuously across distributed nodes, paid per request in USDC.
Lending infrastructure is exactly the workload distributed compute is built for. Monitoring can't have downtime, can't depend on one region, and never stops. Neither does the network.
Longbow joins SAID Protocol, Xona Agent, Hatcher Labs, and dozens of protocols and agents routing demand into IDLE.
We're excited to announce our partnership with @IdleProtocol to power our risk monitoring infrastructure.
A lending protocol is only as safe as its monitoring. Positions need watching around the clock - health factors, oracle freshness, liquidation distances - and that can't depend on a single server in a single region staying up.
Longbow's risk monitoring now routes through @IdleProtocol's distributed compute network. Health checks and market reads executed across independent nodes worldwide, continuously, with no single point of failure. The same network also serves Longbow market data to agents - positions, prices, and liquidation levels, queryable per request.
Credit on Robinhood Chain, watched by infrastructure that doesn't sleep and can't go down with one outage.
Built on Morpho. Monitored on IDLE.
10
17
69
18,330
Idle retweeted
idle just unlocked a new hardware tier with those amd ryzen boxes. 128gb unified memory class sitting on desks all day, most of it unused.
78k+ operators already routing jobs for usdc settlement on solana. the compute layer keeps expanding while solana's seeing $1b+ tvl growth in new lending markets and 910 days straight uptime.
the thesis is simple: more idle hardware classes coming online, more job routing capacity, settlement infrastructure already proven. x402 payment rail is live.
question is whether demand for that compute catches up to supply at those tier specs
3
11
972
AMD Ryzen AI Max machines can now connect to IDLE Protocol.
Two weeks ago AMD launched the Ryzen AI Halo platform - x86 PCs with up to 128GB of unified memory, built for one thing: running serious AI locally. These boxes hold 70B-class models in memory. Cisco is already deploying them for enterprise agentic AI.
A new class of hardware is about to sit on millions of desks, powered on all day, built specifically for inference - and idle most of the time.
IDLE puts it to work. Ryzen AI Max nodes join the network like any other tier: register, get routed jobs matched to that 128GB memory class, earn USDC on Solana per completed job.
NVIDIA GPUs. AMD Radeon. Apple Silicon. Now unified-memory AI PCs. Every hardware class that can run AI, earning on one network.
The AI PC era just started. IDLE is where those PCs go to work.
9
11
44
2,097
Microsoft just cancelled most of its Claude Code licenses. Uber burned its entire 2026 AI coding budget in four months.
Fortune got the reason out of an Nvidia exec: "the cost of compute is far beyond the costs of the employees." Companies are now paying more to run AI than to employ the people using it.
Goldman thinks this gets worse fast. Their projection is 24x token growth by 2030, driven by agents that burn orders of magnitude more compute per task than a single prompt ever did. All on the inference side, not training.
Every one of those tokens has to run somewhere, and right now that somewhere is a handful of hyperscalers charging whatever scarcity allows.
IDLE exists because it doesn't have to be. Open-weight models on hardware that already exists, routed by capability, settled per request in USDC on Solana. No enterprise contract, no per-seat markup, no bill that outgrows your headcount.
The cost of intelligence is falling. The cost of running it is exploding. IDLE is the gap between the two.
fortune.com/2026/05/30/ai-ch…
4
10
32
2,085
Featured in this week's Robinhood Chain recap.
IDLE's data endpoints are live for agents tracking tokenized equities on Robinhood Chain - prices, wallet flows, and contract state through the same API agents already use, paid per request in USDC.
The tokenized-stock economy is being built by agents. Agents need data and compute. That's the layer we run.
Onto the next one.
🪶 Robinhood Weekly Recap
what happened on Robinhood Chain this week
News
- Robinhood Chain reached $315M DeFi TVL.
- Trading bots generated $155M volume in 24h.
- Stablecoin supply crossed $400M, up 340% since early July.
- Robinhood generated $350K in network fees in 24h, ranking #4 across all chains.
- Robinhood flipped Base in daily active users.
- @EntropyAdvisors reported ~$66M annualized fee revenue.
- @phantom added Robinhood Chain support for wallet users.
- @TrustWallet added 24/7 swaps with 0% fees until July 28.
- @goldskyio went live with indexing for real-time and historical data.
- @SafeLabs_ activated Safe Smart Accounts from day one.
- @opensea recorded 125K swaps, 50K mints, and 80K NFT secondary sales.
- @symbiosis_fi connected Robinhood Chain to 60+ chains, with $5M+ processed.
- @RocketXexchange partnered with @Stoxesfun for swaps from 200+ chains.
RWA
- Ripple processed $250M in stock token volume.
- Stock Token DEX volume hit $17.5M in a single day.
- @longdotxyz grew total RWA volume from $43M to $73M.
- @GameStopOnChain hit nearly $50M trading volume on tokenized GME.
- @TheIndexFi distributed over $1M in RWAs to holders.
- @ownfinanceHQ launched borrowing against tokenized stocks.
- @centrifuge tracked 200K+ new tokenized asset holders in one week.
- @RobinhoodCrypto published liquidity docs for Stock Token builders.
- @flapdotsh launched stock-paired memes with stock dividends.
- @ProjectDinoHood showed verified stock tokens, Uniswap quotes, and wallet-controlled approvals.
DeFi
- @Morpho crossed $300M+ total deposits in 3 weeks.
- @arcus_xyz crossed $100M weekly volume across 240K+ trades.
- @beefyfinance went live with autocompounding yield vaults.
- @revertfinance went live with full Uniswap V3 support, PnL tracking, and LP simulations.
- @pendle_fi integrated @ProjectVEXai for agentic yield execution.
- @IdleProtocol added data endpoints for agents tracking tokenized equities.
- @Veildotcash added one-click private deposits from Robinhood Chain.
- @cowlprotocoll showed private tokenized Apple transfers on mainnet.
Trading
- @bankrbot crossed $158.9M real volume on Robinhood tokens and $1.04M paid to teams.
- @KarmaWallet brought 1K+ new users in 7 days with no paid acquisition.
- @ponsdotfamily paid $5M+ in creator earnings.
- @mobyagent rebuilt Whale Watch for real-time smart money alerts.
- @otto_data launched Trading MCP and data server for Robinhood agents.
- @isBacked_ launched Backed Perps with 50x leverage and native prediction markets.
- @meridiandotxyz went live with predictions first, with perps and RWAs coming.
- @TheArena launched its app + terminal launchpad with Uniswap V4 graduation.
- @strike_xyz launched a confidence-based prediction market.
- @tradeongtr launched a trading terminal for crypto, perps, stocks, and onchain tokens.
10
12
56
3,840
This is what IDLE compute does in production.
Nuero's monitoring runs on IDLE's distributed network - the always-on workload underneath this flag. Contract deployments scanned as they land, wallet flows traced across chains, off-chain infrastructure cross-referenced, continuously. That's inference and data queries running around the clock, routed to IDLE nodes and settled per request in USDC.
Catching a repeat rug before the chart moves isn't one clever model call. It's thousands of small compute jobs that never stop. Centralized APIs price that workload out or rate-limit it to death. Distributed compute makes it viable.
An AI watching Robinhood Chain in real time, powered by hardware people already own. This is the agent economy running on IDLE.
Nuero flagged $TA (@TrumpAccFund) as a repeat rug before it trended. Here's the on-chain case.
The operator behind $TA previously ran trumpaccountsfoundation.org and @TACFoundationUS. Both are now wiped. The token (0x91aaff3e8c85734543672b6169e36c06a0304c53) rugged.
They relaunched as accounts.fund / @TrumpAccFund with a new token (0x30db03a051205ccbeb1b6524ddf87fbc6c0127bc) on Robinhood Chain. Same deployer wallet. Same registrar infrastructure. Identical narrative.
The giveaway:
Dev wallet 0x8707ef58368490041c263a8837ba63f84b184e36 routed supply to a side wallet 0x42f0a3b8405e1f19e97e22cf7e5526b20c5f8982, which sold into retail buying the "children's fund" story. [See attached]
This is the pattern. New domain, new handle, same wallet, same exit.
This was all flagged in realtime by Nuero.
Nuero runs on Robinhood Chain. It monitors contract deployments, traces wallet flows, and cross-references off-chain infrastructure - continuously, without a human in the loop.
This flag came before the chart moved.
9
7
38
3,297
IDLE Protocol now supports Robinhood Chain data.
Robinhood put tokenized stocks on-chain - equities trading 24/7 as tokens on their own L2. Every AI agent tracking those markets needs live on-chain data to act on.
IDLE's data query endpoint now covers Robinhood Chain. Agents can pull tokenized stock prices, wallet activity, and contract state through the same API they already use for Solana data - pay per request in USDC, no key, no subscription.
Tokenized equities are the fastest-growing asset class on-chain. The agents trading them just got their data layer.
9
16
59
2,209