Shrimp game just went live on @anoma testnet with hard 2k daily cap
ui bug wiping player sprites mid‑run but still crediting full clears devs probably tracking input coords server‑side, client visual layer desyncing
not high‑stakes pvp yet, but this is the first playable loop added alongside bitflip + garapon grind
point economy’s showing classic asymmetry: high volatility, luck‑based jackpot games bleeding net pts into fixed‑cap skill‑based loops
early testnet phase where they’re stress testing both rng + deterministic scoring before tightening inflation knobs

Small creators aren’t just “nice to have” they’re literally the engine that makes trends happen
Cut them out & you cut your own reach in half
Been saying this for months but now there’s actual data on it thanks to @Bantr_fun infra
The irony? some ppl will label these same voices as “noise” or worse, when in reality they’re the ones putting your project in front of thousands you’d never touch otherwise
Ignore them & you’ll pay for reach later
Empower them & you’ll never need to
Simple choice
#Bantr # Morph

GMORPH
Let’s build together only matters if showing up actually shapes the network
Morph is getting the social + infra loop right: plug in, contribute, get recognized. Builders ship, community compounds, and value flows back
What are you shipping this week on @MorphLayer tools, games, infra, or culture
Let’s turn momentum into progress
#Morph # Bantr

Been keeping an eye on @trendsdotfun lately one of the cleaner plays in the onchain prediction/content game.
Think: crypto-native social layer + market sentiment tracking, but gamified.
Key angles I like:
• Capture & trade around trending narratives in real time
• Onchain verifiability of “who spotted it first”
• Sticky engagement loop the more you participate, the more you influence
• Potential data moat from aggregated user trend picks
The market for being early to narratives is huge alpha doesn’t just live in charts, it lives in knowing before others.
#trendsdotfun has the scaffolding fo

GMORPH. Let’s build where UX > hype
Why Morph:
- Ethereum security, EVM-native
- Low fees, fast finality
- Solid tooling, clear path to distribution
The next leg won’t be broad, it’ll be selective. Apps that nail speed, cost, and onboarding will win. If you’re shipping games, social, or payments, this is the window
Ping me if you’re building on @MorphLayer happy to connect teams and resources
#Morph # Bantr

Cross-chain trading has a complexity tax
What @vooi_io ships ↓
• Chain abstraction + gasless execution → one balance across networks
• Spot + perps in a clean, mobile-first UI; non-custodial by design
• Aggregates multiple DEXs for deeper liquidity and better routing
• Social logins + secure backups; points for trades, swaps, referrals
By the numbers:
• $10B+ volume
• 60K+ traders
• 200+ markets
Roadmap signals:
• Intent-based order routing
• AI-assisted automation
• Access to real-world tickers alongside crypto
$VOOI feels like the trading surface that normalizes DeFi for the next cohort. Do

zkgm
study the reply guys check the LB
the ghosts in your comments with 0 likes, 1 like,
back again tomorrow
they’re preaching CometBLS
Groth16
interoperability
zero-knowledge
keeping the touch alive under every post
why? because @union_build lets you build in Solidity, Rust, or Move and plug your chain or app into any ecosystem, while zk light clients sync and pass messages without drama
cheaper, faster, private, trust-minimized
tokenomics when? i’ll wait
we go again at dawn

end up defining entire cycles.
While most chains are still obsessing over headline TPS, @FogoChain is quietly building an execution layer that prioritizes:
🔺 Finality in seconds, not minutes
🔺 Modular design that lets devs plug‑in + swap consensus without breaking the stack
🔺 Native cross‑chain messaging baked in, no fragile bridges
🔺 Economic incentives tuned for long‑term validator health, not short‑term hype
The result? A platform where builders can ship dApps that feel Web2‑smooth but inherit the trust guarantees of a high‑assurance L1.
Patterns are starting to show: capital moving in

Been tracking @recallnet closely and I think it’s carving out one of the most critical layers in the AI × Web3 stack
→ Decentralized AI memory infra: lets models persist, recall, and verify knowledge across sessions without giving up control to centralized silos
→ On-chain provenance: every stored/retrieved data point is cryptographically verified, making output auditable
→ Interoperable APIs: agents, dapps, and LLMs can tap into the same shared recall layer across multiple chains
→ Privacy-preserving queries so sensitive data doesn’t leak, yet remains usable for AI reasoning
The bet here is s

Been diving into @recallnet lately and the more i look, the more it feels like a missing link for onchain intelligence
Think of it as the infra layer that turns blockchain data into structured, queryable memory a recall layer baked straight into your stack
For devs → you get real-time, indexed access to past onchain events without having to spin up your own data pipelines
For AI agents → memory persistence becomes native, so they can pull historical onchain context, pattern match, and act accordingly
What’s interesting is how this plays out for DeFi, gaming, NFT analytics:
➟ track complex mul

Everyone in crypto says “we’re decentralized.”
Yet most apps still rely on AWS or Google Cloud.
That’s where the Acurast × Anoma link gets interesting.
🔹 @Anoma → intent-centric OS coordinating across chains, hiding the mess of VMs and bridges.
🔹 @Acurast → decentralized compute from idle devices, trustless and free from cloud monopolies.
Alone, each is ambitious. Together, they solve the missing piece: running heavy cross-chain computation without centralized infra.
This enables:
• Seamless multi-chain DeFi strategies
• Real-time optimization on decentralized rails
• Apps that feel Web2 but

Web3 needs more than blockspace; it needs clean, fast, verifiable data rails that scale with AI-grade demand
That’s the job @Covalent_HQ has been shipping on quietly, then all at once. The picture today ↓
• Unified API across 100+ networks with full historical coverage (from genesis blocks to modern blob data), one schema, one endpoint
• Sub-Second Data Co‑Processor + GoldRush Streaming for sub‑200ms reads, built for agents, quants, and real-time use cases
• 22B+ paid API queries in four months; 15% MoM revenue growth signals real, non-speculative demand
• 30%+ of total supply staked securing

codes for @anoma testnet started at $100. now $300 and climbing. secondary market heat before mainnet is even here.
acurast compute layer plugged in, encrypting every intent before match. atomic settlement + privacy as default. real coordination infra, not hypeware.
5M $MIST up for grabs on the acurast × anoma × kaito mindshare board. top 100 farm both codes and tokens ahead of tge.
most still chasing l1 speed scores. those who get intent markets + programmable privacy stacking already know where this goes
watch the leaderboards

Speed is easy to market; hard to keep when blocks get noisy
What @Covalent_HQ is pushing with gSpeed is what most infra glosses over: sub-second reads that are verifiable across 100+ chains, so your agent doesn’t flip a coin on a reorg
I’ve seen bots miss fills because the feed blinked, L2s desync, dashboards stall on cross-chain joins
Fast but flaky = tax
Trustworthy but laggy = dead on arrival
gSpeed hits the only combo that matters for AI agents, HFT, real onchain apps: deterministic speed with proofs
Most fast demos stop at one chain under ideal load
gSpeed holds cadence when traffic spike

Imagine waking up to a world where crypto can't gatekeep you because every trade comes with TikTok vibes
@HanaNetwork making this real one-tap trades, livestream decisions, content tipping all seamless on-chain with proof of how it was vibed.
Ready for crypto that proves itself instead of just performing hype? This is the future we're building

People should study how @SonicLabs is wiring TradFi rails into an onchain growth engine
The vote on “Bridging Crypto & TradFi in the US” lays out a clear, auditable plan:
➠ Up to $50M ETF allocation with BitGo custody + a major regulated ETF partner (>$10B AUM)
➠ Up to $100M NASDAQ PIPE to acquire $S on spot/OTC with 3+ year locks
➠ 150M $S to Sonic USA LLC (Delaware, NYC team) for US buildout, compliance, distribution
On-chain discipline matters:
➠ Tokens minted only as needed, tracked publicly
➠ Gas fees burn 5 50% per tx to partially offset issuance
➠ Labs currently holds <1% supply, constr