gmgn fam, participation and demand tell different stories.
@zerufinance is connecting Ethereum activity to zETH through its Miner race.
As users participate, the initial 1B supply decreases, with remaining tokens heading to a Uniswap CCA auction.
Two things worth watching:
→ Supply left for auction
→ Actual buyer demand
The real signal comes when participation meets the market.
gmgn fam, data needs proof, not just trust.
@vangrid_io is using Merkle trees on Base to make real-world data independently verifiable.
→ Fingerprints grouped into Merkle trees
→ Roots published on Base every ~15 minutes
→ Anyone can verify capture records with inclusion proofs
No need to handle gas fees or blockchain transactions as a contributor.
For Physical AI, data integrity matters just as much as data collection.
gmgn fam, wallet history can mean more than balances.
@zerufinance is exploring this through ActivityFi, turning onchain behavior into useful trust and activity data.
Their oracles are already live on @etherscan, alongside wallet screening APIs.
Web3 needs better ways to recognize real users, and this is an interesting direction to watch.
gmgn fam, fair launches need more than open access.
who really controls the launch game?
A study covering 15.2 million Pump.fun coins found that just 1% of addresses created 39% of all tokens. When linked funding clusters were analyzed, the share reached 53–59%.
Even more interesting, around 1 in 10 coins was a copy of another.
@zerufinance is pushing a different model with zETH.
→ Started with 1 billion supply
→ Now sitting around 864M
→ Supply shifts with community Ethereum activity
The idea behind Activity Fi is simple: let verified participation shape the game instead of rewarding concentrated creation.
Check your rank and watch the supply move.
gmgn fam, the real world is becoming part of AI.
smartphones as tools for spatial intelligence
Most people use their phones to capture moments, but @vangrid_io is exploring a bigger use for those recordings.
It transforms everyday videos into structured 3D data that machines can actually understand.
→ Detailed point clouds
→ Textured 3D models
→ Cryptographic fingerprints for verification
→ Merkle proofs and EAS attestations on Base
This kind of data could become useful for robotics, navigation and Physical AI.
Turning ordinary recordings into verified spatial data is an interesting direction to watch.
explore the network: explorer.vangrid.io
gmgn fam, not all wallet activity is equal.
your onchain history tells a bigger story
@zerufinance is tackling this with zScore, measuring wallet behavior across 13 dimensions and multiple chains.
Scores range from 0 to 1,000, covering trading, staking, lending, liquidity, governance and more.
What makes it interesting:
→ Wash trading gets discounted
→ Circular transactions are identified
→ Wallets connected through common funding sources are flagged
→ Real activity matters more than artificial volume
Already live on Etherscan, covering hundreds of millions of wallets.
Your zScore also affects Activity Markets eligibility on Zaps. A minted score is needed to compete for zETH miner rights.
GM. Everyone is talking about the election outcome. Meanwhile Bitcoin is quietly holding its range. These kinds of periods usually end with a stronger move than people expect.