Bulls Runners
> Anyone can launch a token (no permission needed)
> Every launch automatically creates a full market (token + NFT collection + vaults)
> Tokens start on a bonding curve. At 4.2 ETH they graduate to Uniswap V4
> A piece of every trade goes into a pot
> That pot is shared with Genesis
> Bulls holders (the free-mint NFTs)
> Higher tier Bulls get a bigger cut of the fees
> There’s also a Holder Pool that can buy the graduated tokens
> One launch = one complete market
> Every fee ends up with a Bull.
Simple. Clean. No rugs
Over 100 million registrations in less than 30 days of launch.
That's 100+ million permanent legal receipts for AI training data created on Trace.
So far:
▸ 105M registrations
▸ 171k contributors
▸ 170 TB of data audited
▸ $57k chain fees
How does AI training data actually make its way from a contributor to an AI lab?
A walkthrough of Trace, our audit layer for AI training data, with @devrelius
↓
remember when the entire timeline was dunking on revenue?
Funny how nobody wants to post those screenshots anymore
Tables turned, Story Protocol / Data Foundation is now among the top revenue generating chains in crypto
Over 10+ million registrations have hit Trace, and the number keeps climbing.
Every registration is a public receipt for data that can be verified, audited, and licensed with confidence.
Onward.
For years, every voice AI conversation passed through text.
Speech ▸ text ▸ model ▸ back to speech.
Now, speech models cut the middleman, with far more realistic results. But while the architecture has made leaps, one bottleneck remains: data.
Enter: @otodotearth x @psdnai
Most people will focus on the ticker change.
I'm focused on the direction
A network built for AI tokenized data and real applications has a much larger market than a single narrative.
$DATA
Today, Story becomes The DATA Foundation.
$IP is now $DATA. The Story Network is now DATA Network, tracking 1B+ data records with a singular mission: to become the trust layer for all AI training data.
Welcome to The DATA Foundation.