@greater_glory20 huge congratulations bro, I commented on this buidl and now it won! Glad to see a project @whacka_app saw the originality of your work 👏
Most creator tools are built around one question:
“What can I help you make?”
GreenRoom started with a different one:
“What are you trying to become?”
Because the longer an AI works with a creator, the less you should have to explain yourself.
Pictorial representation of Metermind for @Somnia_Network X @dreamDEXSomnia hackathon @emreyeth
Built MeterMind because autonomous markets don’t really have a shortage of signals.
They have a shortage of discipline before execution.
An agent can be confident and still be wrong
I kept thinking about what happens when AI agents become better at finding trades than we're at deciding which ones deserve our money
More signals. More opportunities & noise.
But capital is still finite.
I built MeterMind, a capital qualification layer for autonomous markets.
I kept thinking about how founders know their burn rate, but still don’t really "feel" when the money runs out.
So I built Runway on @juliusai, had to bring this idea to the limelight fr
so Runway lets you stress-test the uncomfortable questions: revenue drops, costs rise,
they kept buying the dip.
then one day there was barely a dip left to buy.
the saddest part about charts like this is knowing somebody sold right before everything changed.
Feat. @wizardofsoho@otherperson
Use his Yeet code: wizardofsoho
Hi @hellominds_ , quick update on SoulCut: our project X account was unexpectedly suspended. We've appealed and are awaiting review. Since judging may be underway, we wanted to keep you informed. Please let us know if you need anything regarding our project's social activity.?
@arkivnetwork observations can be time-scoped, queryable and tied back to who recorded them.
So months later, the question isn't:
“What do we think happened?”
It's:
“What was actually visible before it happened?”
Most market memory can disappear
The moments surrounding a crisis shouldn't.
For @arkivnetwork Ideathon, I kept thinking about what happens before DeFi breaks.
After a protocol goes into crisis, everyone studies the wreckage.
The charts come back.
The warnings suddenly look obvious.
Everyone remembers what they should have seen.
@arkivnetwork Not to predict the crash.
Just to remember what the market actually knew.
There's something uncomfortable about investigating a disaster using a history reconstructed after it happened.
I wanted ExitProof to make that unnecessary.
Built around @arkivnetwork, those preserved
@arkivnetwork An inspection missed.
Small events quietly becoming an expensive one.
CausalGraph connects those records so you can follow the history of a delay instead of starting with the blame.
But something else bothered me.
Most project records are temporary… until the day they