Shido Update w/ CEO is going live on X Spaces next Thursday at 2 PM UTC.
We'll be covering the latest developments across the Shido ecosystem, including new product launches, listings, the 2026 roadmap, and much more.
Set your reminder, you won't want to miss this. 👇
Just another awesome project launching on $Shido Network!
Savvy devs know!
AetherZone Launch: The Full On-Chain Operating System for the Shido Network
trustless DeFi, decentralized governance, real-time analytics, and verified digital identity in one unified, institutional-grade terminal.
Here is the complete technical and operational breakdown of the new AetherZone ecosystem.
🔄 AetherOTC — Peer-to-Peer Escrow Trading
Trade any standard token directly with any wallet, secured by an on-chain escrow smart contract.
Decentralized Escrows: Create, fill, and cancel OTC deals trustlessly. Tokens are locked in the smart contract escrow until both parties satisfy deal requirements.
Maker Enforced Ownership: Strict cryptographic verification validates maker wallet ownership before any modifications or cancellations are permitted.
Real Yield Routing: Transaction fees are swept directly to the AetherRevenueDistributor to yield real rewards for platform stakers on every fill.
The following core contracts are fully governed under the AetherTimelock:
AetherGuard (Security Policies): 0xE77B8B211e2c95f125C0d3b2Aa17d56c74fa3660
RetailLimitOrders (Limit Engine): 0xF8048aBd73B2aBE02114A31e6F68B6C66bA98B18
AetherOTCEscrow (P2P Trading): 0xDc812945b24E27BA5DBe17C71329a355Cd575239
AetherRevenueDistributorV2 (Yields): 0xCC532A532857ad5CC0A1d6726062Acc75554344D
AetherZap (Liquidity Router): 0xB19f08512Eb6d256f85EcBe929e31baafB2c83DF
🔒 On-Chain Emergency Controls & Live Telemetry
The frontend interface dynamically surfaces all underlying contract security mechanisms in real time:
Admin Emergency Panels: Equipped with pausing circuit breakers (to halt new operations while securing active escrows), fee adjustment overrides capped strictly on-chain at 10% (1000 BPS), and emergency token-rescue pathways.
Live Contract Telemetry: Global status badges (LIVE / PAUSED), contract addresses, active owner/timelock coordinates, and real-time BPS fees are parsed and displayed on every page mount.
GM ☕️
Every update, every test, every piece of feedback moves ARC forward.
That’s what testnet is for.
Building in public.
Finding what works.
Improving what doesn’t.
The community isn’t just watching the process. You’re helping shape it.
Keep testing. Keep sharing feedback. Keep asking questions.
Together we’re creating the future of on-chain AI. 🔵🤖
We are happy to announce that @Meme_Coinbsc will be listed as a ShidoDex V2 Partner® on our V2 launch.
You will be able to easily trade $MEME as an exclusive default listing on our decentralized exchange. ShidoDex will give you the best rates on the market.
You don’t need a crazy setup to get started.
Not some huge server room.
Not expensive hardware.
Most people already have what they need.
Ai For The People!
Who wants an AMA to talk everything ARC Chain? 👀
AI on-chain. Nodes. Determinism. What’s coming next.
Drop your questions below and keep an eye out for tomorrow’s AMA time announcement.
Tag who you think should be there 👀
Over the past year, the crypto market has reminded everyone of one brutal reality: volatility separates hype from resilience.
Here’s a comparison of how several major cryptocurrencies performed during the downturn:
Kadena → down roughly 98%
PEPE → down around 75%
Shiba Inu → down about 62%
Sui → down roughly 71%
Chainlink → down around 40%
Cardano → down about 69%
Bitcoin → down roughly 32%
Solana → down around 53%
XRP → down about 43%
$Shido → down only around 15%
That comparison tells an interesting story.
While many established projects suffered heavy corrections, $SHIDO managed to hold its ground far better than most of the market. In crypto, surviving a bearish period with limited downside is often more important than explosive short-term pumps. Strength during weakness usually signals confidence from holders, stronger community conviction, and potentially healthier long-term positioning.
A 15% decline in a market where major names lost 40%, 60%, or even 90%+ is not just a statistic — it’s a sign of relative stability.
Even compared to giants like Bitcoin or Chainlink, $SHIDO showed stronger price resilience. Against highly speculative meme coins and smaller altcoins, the difference becomes even more dramatic.
Why does this matter? Because the biggest gains in crypto often come from projects that:
already proved they can survive pressure,
maintain community support during downturns,
and haven’t been completely destroyed by market sentiment.
Of course, every crypto investment carries risk, and no outcome is guaranteed. But based purely on comparative market performance over the past year, $SHIDO stands out as one of the strongest-performing assets among this group.
When the market eventually turns bullish again, the projects that fell the least are often the first to recover — and sometimes the ones that surprise the most.
$SHIDO I @shidonetwork
https://t.co/qTF1SGVRRh
The most honest form of news? Markets.
Real people. Real capital. Real probabilities.
The sharpest way to trade politics, tech, sports, crypto, and more.
Be ready. The future is tradable.
$SHIDO ATH was $0.0127 with no tech.
We now have a full working L1 with real adoption coming.
Still ridiculously low MC.
This is the setup.
New ATH loading 🔥
Bitcoin gave people ownership.
Ethereum gave developers programmability.
$ARC is giving AI a network of its own. 👀
ETH👇
0x672fdBA7055bddFa8fD6bD45B1455cE5eB97f499
BASE👇
0x431151F26c48B4D4BEFc34048a0966Bf960A0c50
what if you and 10 friends could pool your laptops and run the same AI models that cost model providers
millions in GPUs?
i built this. the model splits across every device in the group. they compute in parallel and the output is mathematically identical to running it on a single machine. not similar. identical. bit for bit.
that's the breakthrough. the engine is fully deterministic so every device is interchangeable.
nodes don't trust each other. they don't need to. if anyone computes wrong the math catches it
instantly... inference passes consensus
mesh-llm partitions experts across nodes. smart approach, but each node only sees part of the
model. we shard the full model across any device with zero quality loss. every parameter active, every
inference. 10 laptops, 50 phones, a gaming PC, whatever shows up. the output is mathematically
identical to a single datacenter GPU. same model, same quality, owned by the people running it