
Grenade 🪖
44K posts

Grenade 🪖
@hilariousghost
Researcher | Gamefi 🎮| Degen | NFT Collector | Creator @ZaxWeb3 & @xMomentumHub ✍🏼 | gr3nade.base.eth



These are the projects I'm looking at next: -> Geophylla by @ENICOLL -> The florentines by @cartyisme (he's fading me) -> GLiFS by @EfdotStudio (super nice guy) -> @royalcrust_eth (150 supply) -> @TheColossal_eth -> @TheHeadCase_nft Minting today: -> @yr365art : 365 supply 0.0086ETH mp -> @Sinko_nft : 777 supply free mint on ETH I secured both collabs for my community, I expect these to do good.








To us who are showing up everyday, this is for you We are all gonna make it. Very late GM☕️☀️




Phigures mint details: Presale – 1hr window – 1 pw 0.015 Ξ Public – open window – 2 pw 0.025 Ξ → Presale AL details: - 1/1 collectors - Pulverulents holders - raffle among Gruffters holders (make sure yours is not listed) - raffle among those who roll a phigure and share it - community collabs → Mint date: tba the next post will be shared once the AL is finalized and will include the mint date. you'll be able to check whether you're on the AL directly through the site on launch day. → phigures.art




Navigating multiple chains manually is a fragmented and exhausting experience. Modern crypto users shouldn't have to worry about routing or protocol compatibility. @useTria introduces BestPath to solve the fragmentation problem for good. It automatically evaluates every path across 70+ protocols in real time. You get the best rates and fastest settlement without lifting a finger. The future of Web3 is frictionless.




There’s a quiet pattern forming in how AI agents get integrated into daily tools. Most permission systems still lean on user fatigue more than true consent. People approve access not because they’ve evaluated it, but because refusing interrupts the flow more than accepting it. Over time, that builds systems that accumulate context, behavior signals, and workflow data with very little visibility into what persists beyond the task itself. @TheARCTERMINAL approaches this differently through an attestation based model where interactions produce verifiable outputs without requiring unnecessary data retention. With ZK based proofs on Sepolia, the system can confirm execution and intent without continuously storing the underlying sensitive context. The important shift here isn’t just privacy in the abstract sense, but structural minimalism, systems designed to prove what happened rather than retain everything that enabled it. As AI agents become more embedded in decision making and automation, the question won’t just be whether they work efficiently, but how much invisible accumulation is happening underneath that efficiency. And that’s where architecture choices start to matter more than features.


















