The $AXIS Community Sale is live few days back
And honestly, this feels like an important milestone for what Axis has been building.
For months, the focus was the data:
>> 5M+ robot trajectories
>> 200K+ contributors
>> verified robot manipulation data
>> recorded on Base
>> model feedback helping shape what data gets collected next
Now there’s a token layer around that ecosystem.
The current community sale is $0.10 per $AXIS, with a $1M round and 10M AXIS allocated to the sale.
Commitments are made in USDC on Base, with a $100 minimum and $100K maximum per verified participant.
The commitment window runs until September 28, 05:00 UTC.
One thing worth paying attention to:
The $AXIS token isn’t the beginning of the Axis story.
The data engine came first.
Now we’re seeing how the community layer around that infrastructure develops.
Official sale portal: https://t.co/mJFyOvAIpV
DYOR and read the eligibility, terms, vesting and risk disclosures before participating.
This is the part of Hyperliquid that I find most interesting too.
It is not just about how much hyperliquid:native moves.
The bigger story is how activity on the platform connects back to the token.
When usage grows and the ecosystem keeps generating revenue, that creates a very different relationship between the product and its token.
$HYPE is really one to keep an eye on.
gm CT ☀️
Crowdsourced video is easy to collect.
The harder part is proving that the footage is actually real, original, and captured where it claims to be.
That’s where @vangrid_io gets interesting.
A phone captures the environment, then the data is fingerprinted on-device with a content hash, location, and timestamp.
Those fingerprints are organized into a Merkle tree, with the root attested on Base through EAS.
So anyone with the original capture can verify it independently.
No need to simply trust a private dashboard or take the seller’s word for it.
The chain becomes the verification layer.
Bounties direct contributors to specific locations, USDC rewards accepted captures, and attestations create a public trail proving where the data came from.
For Physical AI, that distinction matters.
It’s not just collecting more footage.
It’s making real-world data verifiable enough for labs, developers, and procurement teams to actually trust and use.
Happy Thursday fam ❤️
If you keep cutting everyone off because they “changed,” maybe you’re the common denominator.
Some people aren’t losing friends.
They’re just refusing to grow with them.
Evening Check in with @quipnetwork
I have been unavailable since morning, this evening I will try to grab the few quip points that I can.
Every day is an opportunity to stay locked in with Quip Network.