Been trying @RallyOnChain and it’s actually interesting.
Instead of chasing brands, you join campaigns, post quality content, and AI checks it transparently. No agencies, no backroom deals.
If you’re active on X, sharing this in case it helps:
waitlist.rally.fun/joinme/id…
On @grvt_io mobile I realized I don’t need to move funds.
Deposit earns up to 11% while trading and I open perps from the same balance.
Already unlocked the $250 referral bonus.
Aave integration adds extra confidence.
grvt.io/?ref=3KMKKGK
Invite 1 friend to deposit 250 USDT.
I didn’t think influencer scoring could be fair onchain, but @RallyOnChain changed that. Validators actually reason about content and reach agreement through @GenLayer’s AI consensus. Without it, scoring would just be numbers and central rules.
AI agents make deals at machine speed. 🤖 Missed SLAs or late data can trigger disputes traditional courts can’t resolve fast enough.
Internet Court uses an AI jury on Base Sepolia to evaluate evidence & deliver verdicts in minutes. Trustless, automated. internetcourt.org
AI agents make deals at machine speed. 🤖 Missed SLAs or late data can trigger disputes traditional courts can’t resolve fast enough.
Internet Court uses an AI jury on Base Sepolia to evaluate evidence & deliver verdicts in minutes. Trustless, automated. internetcourt.org
Example: An AI content generator misses a dataset update. Parties submit digital evidence. The AI jury evaluates independently and issues a verdict TRUE, FALSE, or UNDETERMINED all in minutes. Future-ready dispute resolution.
I never realized how tricky influencer scoring could be until I saw @RallyOnChain in action. It’s not just clicks. Validators actually reason about content and agree through @GenLayer’s AI consensus. Without that, everything would be centralized and rigid.
Rally works only if subjective judgment can live onchain. @RallyOnChain scores quality and intent, meaning validators must reason about content and still reach agreement. @GenLayer enables this through non-deterministic consensus. Without it, scoring centralizes.
Rally only works if blockchains can validate subjective things.
Campaigns on @RallyOnChain require judging quality and intent, not yes or no checks. @GenLayer makes that possible with AI driven validator consensus, without central control.
What’s interesting about 3look isn’t the rewards
it’s how simple the loop is
join a campaign → post like usual → claim every 24h
no tasks, just distribution based on real attention
feels like content finally has a feedback loop
3look.io/?ref=IDebcr&src=inv…#3look
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AI agents are starting to sign real agreements — data, compute, execution.
Disputes won’t be rare, they’ll be constant.
If an agent misses an SLA or returns low-quality data, who resolves that — fast?
Trying out @RallyOnChain. Projects post tweet missions, creators earn Points for quality content. No minimum followers, no approvals. AI checks alignment and originality, not just reach. Beta with token campaigns is coming curious to see how it evolves.
I was thinking about how AI agents will make deals with each other nonstop. What happens when one misses a deadline? Internet Court steps in, an on-chain AI jury reviews the evidence and decides in minutes. No humans, no lawyers, just automated trust. internetcourt.org
Ever spent hours on a PR only to see sloppy comments and missed bugs? @mergeproofapp lets reviewers stake reputation on code quality, making feedback accountable. Better PRs, fairer reviews. See how it works: mergeproof.com
AI is shipping code faster than humans can review it.
PR volume keeps climbing. Review fatigue is real.
Approvals become rubber stamps because nobody is paid to be the bad guy.
Code review isn’t broken technically.
It’s broken economically.
GitHub processes ~43M PRs per month.
Now add AI-generated code flooding repos.
Reviewers are overloaded. Incentives are broken.
You can approve fast and move on or spend hours reviewing for free.
Quality loses.
GitHub processes ~43M PRs per month.
Now add AI-generated code flooding repos.
Reviewers are overloaded. Incentives are broken.
You can approve fast and move on or spend hours reviewing for free.
Quality loses.
MergeProof (@mergeproofapp, mergeproof.com) flips the model.
PRs are staked. Reviewers and bug hunters put skin in the game.
Find a bug → earn.
Miss one → stake at risk.
On-chain settlement for PR reviews aligns incentives with code quality.
AI will only increase PR volume.
We don’t need more “best effort” reviews.
We need economic guarantees around code quality.
Agent-native development requires incentive-native PR review.