RepNet
This goes down on your permanent record.
AI-first reputation intelligence for humans, projects, and agents. Live deterministic trust scoring from evidence, explainable score drivers, real-time updates, and static dossiers for deep review.
The Problem Scope
$5.6B+ lost to crypto scams in 2023 (estimated $17B+ in 2025, $6.1B+ in Pyramid & Ponzi schemes alone). Serial ruggers rebrand and repeat. Credentials are unverifiable. There is no permanent, intelligent record for people, projects, or agents.
I. No Intelligent Record
Ethos is Yelp for X accounts. Intuition stores attestations but won't judge. Nothing currently thinks about reputation.
II. Reputation Laundering
Bad actors rebrand, spin fresh wallets, and pivot narratives. No AI connects the dots across identities and wallets.
III. Unverifiable Credentials
"Former Google, former NASA" — nobody checks. No system cross-references claims against evidence at scale.
IV. Manual Heroes Don't Scale
ZachXBT ratios scammers single-handedly. We give every wallet a ZachXBT that never sleeps — an AI that reads, connects, and rates.
The AI Council for Humans, Projects & Agents
Unlike Grokipedia (one model, one owner's bias), we use a Multi-LLM Council with published methodology.
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Independent Jury: GPT, Claude, Grok, Gemini, and other frontier models evaluate evidence independently to prevent single-model hallucination or bias.
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Foreperson Aggregation: A specialized model aggregates verdicts, calculates probability scores, and flags contradictions.
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Fully Auditable: Every verdict, score change, and evidence link is preserved and anchored on-chain.
Individual Human Actors
Comprehensive behavioral analysis and reputation tracking for Key Ecosystem Participants.
Alex Finn
Moderate risk driven by unverifiable revenue claims and prior security incident.
Alex Masmej
Legitimate innovation in social tokens offset by regulatory ambiguity and reliance on self-reported metrics.
Andre Cronje
High-impact DeFi architect with a complex history of "testing in prod" and temporary exits.
Ansem (Zion Thomas)
Elevated risk profile reflecting strong influence and documented retail harm from memecoin promotions.
Arsyan Ismail
Malaysian tech entrepreneur and founder of several blockchain-focused ventures.
AuraWhale33 (Motion)
High-volume trader and influential voice within the Motion ecosystem.
Ben Pasternak
Elevated risk driven by platform collapse, unresolved dumping allegations, and substantial financial harm to token holders.
Broox (Broox Bauer)
High-risk profile involving serious allegations of insider trading and misuse of sensitive customer data at Axiom Exchange.
Changpeng Zhao
Elevated risk profile driven by federal AML convictions and massive corporate fines, despite a 2025 presidential pardon and subsequent pivot to philanthropy.
Crypto Rover
High-risk profile with documented pump-and-dump allegations, misleading trading claims, and suspicious promotional activity.
Dan Romero
Co-founder of Farcaster and former Coinbase executive.
Dr. SeongWoo Choi
High risk profile driven by credential fabrication, engagement-farming giveaways, and high-risk memecoin promotion.
Frank DeGods (Rohun Vora)
Founder of DeGods and y00ts; influential figure in the Solana and Ethereum NFT spaces.
Garrett Jin
High-risk profile driven by BitForex association, wallet-ownership ambiguity, and fragmented corporate identity.
Gordie Slater New
High risk profile marked by confirmed insider theft and subsequent identity concealment despite full repayment of funds.
Icebergy
Risk is elevated by unresolved identity, unverified investor claims, and normalization of harmful retail behavior.
Joichi Ito
Elevated risk reflecting major historical ethical deception (Epstein concealment) and recent (Feb 2026) inclusion in the DEF CON banned list.
Joyce Lee
Prominent figure in the digital art and NFT curation space.
JP Thor
Founder of THORChain; elevated risk driven by user losses and governance contradictions.
Justin Sun
High-risk profile driven by SEC fraud allegations, wash trading, and controversial diplomatic status.
katexbt
Caution-level profile marked by unverified high-impact allegations (Kadena exposé) and limited verifiable credentials.
Kook (@KookCapitalLLC)
Elevated risk driven by unresolved identity, association with investor losses, and repeated controversies.
Luke GotYourVape
Elevated risk driven by alleged financial harm, technical misrepresentation, and post-incident silence, despite evidence of real development work.
Matter (@Mattertrades)
Elevated risk profile marked by documented financial losses in public vaults and unverified fraud allegations.
Meow (@weremeow)
High-impact builder with unresolved accountability questions, pseudonymity risks, and security failures.
Meow (OSINT)
Advanced OSINT analysis identifying technical deceptions regarding risk and aborted accountability investigations.
Mert Mumtaz
Solana infrastructure builder with strong technical credibility, offset by unresolved workplace allegations.
Rami Al-Hashimi
High-risk profile characterized by engagement-farming giveaways, unverified trading claims, and potential geographic obfuscation.
Rashid bin Saeed New
High-risk profile identified by the impersonation of a deceased historical figure, weak identity resolution, and deceptive audience-growth tactics.
Sibel (@sibeleth)
Elevated risk driven by alleged undisclosed paid promotions, low third-party credibility, and limited identity verification.
Suji Yan
Severe reputational and financial risks arising from unresolved legal allegations, extreme investor losses, and operational security failures.
Suji Yan (OSINT)
Adversarial OSINT analysis identifying technical deceptions and severe governance/legal risks from federal lawsuit filings.
TraderSZ (Saeed Zaman)
Median-derived risk score balancing low evidence of criminality against unresolved high-impact market manipulation allegations.
Wizard of SoHo
Elevated risk profile with disputed credentials, paid trading products, and memecoin promotion allegations.
ZachXBT
Low-risk on-chain investigator known for exposing scams, despite anonymity and a history of defamation litigation.
Active Projects
Intelligence on Protocols, DAOs, and Tokens—monitoring for centralization, rebrands, and rug risk.
Flying Tulip
High-risk DeFi project from Andre Cronje featuring novel investor protections but significant execution complexity.
MegaETH
Elevated risk driven by centralized control surfaces and operational disruption history.
Sonic
High-medium risk driven by financial dilution, leadership instability, and significant gaps between hype and reality.
Autonomous Agents
Entity-level monitoring for Bots, Agent Frameworks, and Autonomous Operators with deterministic scoring and explainable drivers.
Updates on X
Phase 1: Initial Deployment
First look at the RepNet intelligence engine in action. Analyzing initial targets.
Network Expansion
Scaling the ingestion pipeline to track cross-chain asset movements and social graph anomalies.
Automated Pattern Recognition
AI-driven identification of washing trading and coordinated hype campaigns across multiple projects.
Who else would you like to run this on?
RepNet is scaling its intelligence repository and infrastructure. We are currently raising a small round to expand our AI council and evidence engine.
Reach out to @bytebot on X or Farcaster for the deck and technical roadmap.
Intelligence Economics
High-fidelity intelligence costs $1.75—$2.58 per dossier in raw compute.