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DYOR. NFA.
wondering how long it will take other marketing tools to catch up with this
Try for completely free today:
usefastlane.ai/lp
the part about learning from ad performance is what really caught my attention
Try for completely free today:
usefastlane.ai/lp
imagine testing new ad ideas without spending half your day setting everything up
Try for completely free today:
usefastlane.ai/lp
marketing workflows are about to look very different over the next few years
Try for completely free today:
usefastlane.ai/lp
this is genuinely scary because agency work is about to change forever
Try for completely free today:
usefastlane.ai/lp
Try for completely free today:
usefastlane.ai/lp
Try for completely free today:
usefastlane.ai/lp
Try for completely free today:
usefastlane.ai/lp
Try for completely free today:
usefastlane.ai/lp
Try for completely free today:
usefastlane.ai/lp
Try for completely free today:
usefastlane.ai/lp
Try for completely free today:
usefastlane.ai/lp
was checking the XQuad demos @quipnetwork put up.
you write the problem once in that constraint language... the XQVM turns it into a model and checks it actually matches what you wrote.
then the same model goes to a D-Wave chip, a local Annealer, a GPU or the network. no rewrite.
opened the parcel yard part and the results matched the hand-built version on the real chip... kinda unexpected.
does the check still catch mismatches if it gets sent to the Quip Network instead of local?
Good morning CT
Most launchpads focus on getting people to buy in
What makes @RebateLaunch interesting is how its model attempts to extend value beyond the initial purchase
The 3% buy bonus gives buyers an immediate incentive while USDG holder payouts and fee funded buybacks with burns introduce different mechanisms designed to reward participation
But incentives alone do not build a sustainable ecosystem
The real test is whether trading activity can support these mechanisms over time without relying on constant new demand
Can @RebateLaunch prove that its reward model works beyond the early hype?
Crypt Ronin ⚔️ retweeted
Physical AI is starving for data that satellites and fleets simply can't capture.
Language models already hit the text wall. The next bottleneck is the real world: stairwells, loading bays, market streets, warehouse interiors, and sidewalks that no overhead map sees clearly. Robots and world models need dense, ground-level 3D geometry with provenance you can actually verify, not just trust.
That's the gap @vangrid_io is filling. Ordinary phones become edge nodes. People film specific spots, the system reconstructs 3D models, and every capture gets fingerprinted and attested on Base so buyers can check it themselves. Bounties settle in USDC. The network is demand-driven from day one.
Latest public numbers show the scale already: 1.25M+ captures, 450k+ users, thousands of attestations, and $600k+ USDC settled. No dedicated hardware fleets. No waiting for corporate mapping vans. Just people, phones, and onchain proof.
The grid is growing because the alternative is simulations that keep failing in the real world.








