gFort 🏰 The 2nd quest of the Pioneer Stone is live on @GalxeQuest .
Signal your alignment. Every echo makes the Fort stronger. 🪨
Join here → https://t.co/kMU3RtlgEu
#ProofOfFortification
Pioneer Stone 🪨 Campaign is live on @GalxeQuest@Galxe.
Before the gates open, prove you can hear the call.
Early signals unlock early recognition.
Start here → https://t.co/oaiW1fWufU
Pioneer Stone 🪨 Campaign is live on @GalxeQuest@Galxe.
Before the gates open, prove you can hear the call.
Early signals unlock early recognition.
Start here → https://t.co/oaiW1fWufU
1,000,000 quests completed.
A milestone powered by our community 💚
To celebrate, everyone who fully finished Chapter 1 will receive a bonus RP reward.
Chapter 2 is now live - with new quests, more RP rewards and fresh chances to take the ride further.
Chapter 2 awaits ↓
https://t.co/B7dJ1azMk1
4/4
In short: FastSet achieves safety + liveness without the overhead of classic consensus.
It’s designed for Web3 at scale: lightweight, parallel, and consistent enough to keep validators in sync. 🚀
3/4
Core guarantees of FastSet:
🔹 Determinism – order of valid claims doesn’t matter, outcome is the same.
🔹 Monotonicity – once a claim is valid, it stays valid.
🔹 Liveness – validators never get stuck, progress is always possible.
.@linera_io Binance Research said it best:
“Major L1s were not built with millions of AI agents in mind.”
Cross-chain silos, lack of composability, outdated infra…
Linera changes that.
🚀 Built for speed, scale & real-time AI transactions.
10 cities later, @TREX_chain lands in HONG KONG this Thursday with Edgen for their Asia Tour Finale.
drinks + Alpha + a SBT passport you can flex forever.
skip it and farm Ls instead of Aura 💅
Radar was already pretty awesome for Crypto.
but now? it is for Stocks too.
from companies hoarding digital assets 💰, to off-chain AI 🤖, nuclear maxis ⚛️, and quantum computing bets 🖥️...
it is ALL here. check it out.
High TPS isn’t just a flex.
It is what makes scaling real world Web3 apps possible without breaking the user experience.
This @mpost_io op-ed explains why throughput is the difference between theory and adoption.
Read it and you will see what most are missing. ↓