IO.NET (IO)

Snipers have 6.8% of $IO (CA 3ZNf2wrms62SXmh88nHyyAivzAoKoKRwsAGGbyUNpump) supply, insiders have 6.9%, team holds 6.7% per devsnightmare. wrld_sol, emroonz, Flips, Collectible, 0xuberM, Onchainrobber, Flips, A cluster has 4.7% on the bubblemap - not sure what it is DYOR. CEX map cluster has 61.4%. Binance funded wallets have 25.5%, Coinbase 17.3%, Mexc 13% (high), Change Now 5.7%, 13.9% (high). Top 70 holders have 81.8%, top 10 have 22.2%, 450 holders with an average bag at $245. Nfa

Top #DePIN Projects by Annual Revenue DePIN remains one of the few crypto sectors generating real protocol revenue from physical infrastructure networks. @ionet leads at $12.5M annually with a 29% gain, followed by @helium ($10.5M) and @GEODNET ($7.87M). Geodnet posted the strongest move at +48.5%, while Helium dropped 67.2% despite holding second. $IO $HNT $GEOD

$IO is sitting at the bottom. - Decentralized GPU network - Powers actual AI compute AI narrative is heating up. The GPU layer is where the real money flows. NFA. https://t.co/nRyjxiOXrg

#DePIN Leaders Just Dropped $43.74M in 30D Revenue https://t.co/FZMNdzfQnC ($12.35M) & #Helium ($12.20M) dominating as real-world infrastructure turns into real cash on-chain. Decentralized compute, networks & geospatial the #tokenization of physical assets is here. This is the backbone of #Web3.

Hello friends A serious update has arrived to @ionet’s tokenomics. With the recent announcement, a significant portion of the network’s revenue will now be used for $IO burning and buybacks. This is a substantial development to prevent token inflation. As the usage of the @ionet network increases, more revenue will be generated and more $IO will be burned and bought back. Thus, the amount of $IO in circulation will continuously decrease. Even though the market is currently very sluggish and inactive, based on the instantaneous activity of the @ionet network, it is expected that over the next year more than 12 million $IO will exit circulation. In short, token inflation is decreasing together with real usage. Even if the market is frustrating, the @ionet team continues to cook up: - New partnership and collaboration announcements - Rapidly growing AI inference - Network revenues increasing with usage - Processing billions of token data daily on OpenRouter Every day, as demand for @ionet’s infrastructure grows, the importance of decentralized GPU networks also rises. @ionet aims to create a long‑term, sustainable incentive/revenue model for both users and token holders.

$IO is getting close to a key resistance level around $0.18–$0.19. If it breaks above this area, the next move could be higher. At the same time, 366,531 $IO was burned in just 2 days from IDE usage. No farming. No rewards. Just people using the product and tokens being removed from circulation. It's still early, but the burn system is working as expected. Now the focus is on whether usage keeps growing.

🔥 Tokenomics update has arrived for $IO. But this is not an ordinary “token burn” news. Because in the new system, burns are directly linked to the actual usage of the network. 👇 https://t.co/ANKA5kqB1z launched a new model called Incentive Dynamic Engine (IDE). The logic of the system is quite simple: 📌 Revenue is generated as the network is used 📌 A portion of the revenue goes to $IO buyback and burn 📌 More usage = more burn So instead of theoretical promises, a mechanism directly tied to network activity is being built. There is also an eye‑catching detail on the numbers side: 🔥 Based on current network activity, it is expected that over 12M+ $IO tokens will be removed from circulation within the next 12 months. Why now? Because growth continues on https://t.co/ANKA5kqB1z: 🟧 Institutional partnerships are increasing 🟧 AI inference demand is growing 🟧 Network revenues are rising 🟧 Billions of tokens are processed daily via OpenRouter Another change is on the provider side. With the new model, a USD‑based reward system for node operators is coming. This means: ✅ More predictable revenue ✅ More stable node network ✅ Lower volatility risk In my opinion, the most important part is: Today AI infrastructure is largely controlled by a few giant companies. https://t.co/ANKA5kqB1z aims to: 📌 Decentralized compute 📌 Open GPU access 📌 More competitive AI infrastructure In short; The new model on the $IO side is not just a token burn. It tries to tie the token economy directly to network growth by establishing a revenue → usage → burn cycle. As AI infrastructure wars grow, we will see together in the coming period how successful this model will be 👀 ⚠️ YTD