One of the best formulas for winning in Web3 is finding projects that walk the walk, not just talk the talk.
Let me give you a hint: it starts with io and ends with net. @ionet
1️⃣ Upbit listing ($IO/KRW) has opened the door to one of the fastest growing Web3 communities in the world, Korea
2️⃣ While $BTC has been under pressure, $IO continues to show strength, climbing from its ATL around $0.07 and now trading near $0.18 in a new price discovery range.
3️⃣ The AI narrative isn't going anywhere. As GPU demand keeps rising, decentralized compute becomes increasingly valuable, offering infrastructure thats up to 75% cheaper, faster, and more scalable than traditional cloud providers.
4️⃣ The long-awaited IDE is finally live. 50% of https://t.co/GHpc7wLRi3's net revenue (after supplier payouts) will be used to buy back and burn $IO. Over the next year alone, an estimated 12M tokens could be burned, roughly 1.5% of total supply. More usage = more scarcity.
5️⃣ IDE also protects GPU suppliers. Regardless of crypto market volatility, suppliers receive predictable USD denominated rewards, creating a sustainable ecosystem for long-term growth.
6️⃣ https://t.co/GHpc7wLRi3 recently secured an $8M enterprise contract. Bridging Web2 and Web3 is incredibly difficult, yet https://t.co/GHpc7wLRi3 is doing exactly that. This single deal alone generates approximately $650K in monthly revenue.
7️⃣ https://t.co/GHpc7wLRi3 is already processing up to 4 billion AI tokens daily through OpenRouter, proving it can compete alongside major cloud infrastructure providers.
Let's be real, most people would rather gamble on memecoins because they promise overnight riches. But what many forget is that they can make you poor just as quickly.
I'd rather invest in projects with real utility, real adoption, and real revenue. Price action may take longer, but the upside from sustained growth can be far greater.
And here's the crazy part:
$IO is sitting at roughly a $62M market cap.
Just $62M.
Use that information however you want, but the opportunity here is hard to ignore.
I'll come back to this post next bull run.
I'm Astro. Ciao. #solana #depin #ai
The future of AI compute doesn't run on hype.
It runs on real utility, real burns, and a network that gets stronger every time it's used.
The Incentive Dynamic Engine (IDE) is now live!
https://t.co/ggOg5dBdZw
June 2023: an idea.
June 2024: product-market fit.
June 2025: enterprise scale.
June 2026: sustainable tokenomics.
Three years of building. 30M + compute hours. $24M + on chain revenue. The world's largest decentralized GPU network.
This is what DePIN looks like when it actually works.
Three years in. And it's just the beginning.
https://t.co/IvBhVnVaI6
Centralized clouds laid some of the groundwork. Reliability. Uptime. Unit economics.
But they can only take us so far.
Coordinating a network nobody owns. Aligning thousands of operators through a token. Proving the work is real with no one to vouch for it.
None of that stands on centralized tech.
It's ours to build.
Check out @ionet Co-Founder @Basem_IO on three years of https://t.co/ZuybGWvjv9, the IDE, and what comes next for DePIN and AI compute.
A new report from @CoinDesk just covered the Incentive Dynamic Engine.
In depth research. Real stress tests. One conclusion.
The IDE works.
The report is live.
https://t.co/x5d0bfbtuy
Fixed emissions were always DePIN's flaw.
Token price drops. Suppliers go offline. Capacity shrinks. Downward spiral.
The IDE is a new way forward. @TheBlockCo breaks it down.
Revenue-linked payouts. Burns when there's surplus. Infrastructure that stays online regardless of market conditions.
Big Tech committed $500B to AI infrastructure. Access still goes to the highest bidder.
https://t.co/ZuybGWvjv9 built a different model. And the world is noticing.
Today the IDE went live. $8M deal closed, 4B AI tokens daily, 12M $IO burned in year one.
The on-chain data backs it up.
This is what the alternative looks like.
Check out the story in @DefiantNews
https://t.co/4oL0FtehJS
Tech giants built AI infrastructure for themselves.
We built it for everyone.
Three years. One belief. AI compute should be affordable and accessible for every builder, everywhere.
Today, that belief has a new engine.
The IDE is live.
Real usage. Real scarcity. Real burns.
The future of AI compute is decentralized. And it starts now @ionet.
@CoinMarketCap@ionet IDE is live! Real world revenue from decentralized compute service, and to add it up, it has buyback and token revenue, currently sitting at 60m mcap, $io got so much potential
Some context on why the IDE is designed the way it is.
The standard playbook for compute networks is inflationary. Print tokens to subsidize supply, hope demand catches up before emissions crush the incentive.
It almost never works, because providers paid in volatile tokens leave the moment markets dip, and the network unravels from the supply side.
The IDE inverts both halves.
Providers now earn pegged to USD. CryptoEcon Lab stress tested the model against extreme scenarios, demand down 55%, token price down 50%. Provider returns held in both.
On the other side, at least half of post-payout network revenue now permanently burns $IO. Usage creates scarcity instead of dilution.
And the demand underneath it is real.
Over 4 billion inference tokens a day, plus a new $8M enterprise contract adding roughly $650K in monthly network earnings. The burns are funded by revenue, not narrative.
Compute is the product. Crypto is the coordination layer.
The IDE is live.
And @CoinDesk is covering it.
Real utility. Real revenue. Real burns.
This is what AI compute looks like when it's built on demand, not hope.
https://t.co/8HHzi1Ouvf
The future of AI compute doesn't run on hype.
It runs on real utility, real burns, and a network that gets stronger every time it's used.
The Incentive Dynamic Engine (IDE) is now live!
https://t.co/ggOg5dBdZw
Decentralized compute is good.
More decentralized compute is even better.
And we're making that happen as launch partner for Respan Gateway.
@RespanAI gives devs access to decentralized GPU compute through a single gateway to train, run, and scale AI workloads.
No hyperscalers required.
https://t.co/hMkI6qAB2I
One A100 instance on AWS. Or a 4-8 node cluster on https://t.co/ZuybGWvjv9.
Same price.
That's what on-chain coordination of underutilized GPU supply actually makes possible.
No centralized control. No inflated margins. No single point of failure. Just distributed hardware, verified compute, and near-instant settlement on @solana.
This is what the future of AI compute looks like.