Sahara AI price

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95% of TGE fails & here’s why👇 Most new token launches follow the exact same pattern now. They start with very few tokens available, price shoots up 100-200%, then crashes back down within days. Here's what happens every time… > Launch with tiny supply so price pumps easily > But the project doesn't have real users or revenue to justify the price > Then more tokens get released & price falls Look at recent launches of $H, $IP, $NEWT, $SAHARA. They all spike hard at first, then struggle to stay up. When the excitement dies down & people realize there's not much backing the price, selling starts. You can spot when this is about to happen. 1/ When open interest jumps after peak 2/ Funding rates turn positive while price stalls That's usually when the correction begins. Its simple. If only a few tokens are available, price goes up fast. But if there's no real demand & more tokens keep coming to market, price has to come down. This happens whether the project is worth $100M or $500M+. If the price doesn't match what the project actually does, it usually corrects. The pattern works because teams keep using the same strategy. Create hype with limited supply, let price pump, then let the market figure out the real value.

UNI (Uniswap) and SAHARA (Sahara AI) are now available to trade on Grvt. Trade:

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

[On-chain Data Movement 💥] The official multi-signature of $sahara has made multiple deposits to OKX totaling nearly 10M, and 2M to Binance. Five days ago, this BNBCHAIN address: 0xB6eff4B429aacAE71be65955B271771E2440785a withdrew $sahara worth 12M from Binance's hot wallet. Current price $0.076, what do you think about this?