Sahara is one of the few projects hand-picked by @yzilabs (ex-Binance Labs), Polychain, Pantera, Samsung Next, & Sequoia because it already ships real-world AI revenue at scale. What makes @SaharaLabsAI worth watching: 1. Full-stack rails, not a single dApp: • Sahara Blockchain (EVM-compatible) records ownership, licensing and revenue-sharing for datasets, models, and agents. • Off-chain execution layer runs the heavy AI workloads in Trusted Execution Environments, then posts ZK-proofs on-chain. 2. A token with work to do $SAHARA • Gas for every on-chain action & validator staking (PoS). • Per-inference payments → pay only for the compute you use. • Built-in revenue split: data providers, model builders, and node operators get paid automatically. • On-chain governance and ecosystem grants directed by holders. 3. Traction that’s already public: • 3.3 M on-chain accounts, 1.4 M daily active. • Enterprise‐grade contracts with Microsoft, Amazon, and MIT. • Data Services Platform counts 200 k+ contributors curating real-world datasets. • $38 M raised from tier-one VCs, plus $8.5 M community distribution. 4. Modular product stack • Data Services Platform – crowdsourced data pipelines with QA. • AI Developer Platform – build, publish, and monetize agents in one flow. • AI Marketplace – license or compose any on-chain dataset/model, usage tracked and paid out in $SAHARA. 5. Aligned incentives from day 1 • Validate → earn fees. • Contribute data or models → share downstream revenue. • Use an agent → pay per inference, no lock-ins or gatekeepers. If you’re mapping the next wave of AI + crypto infrastructure, add Sahara AI to the watch-list before main-net usage turns into mainstream headlines. DYOR | NFA