狗哥 #hooksummer|Nov 18, 2025 02:00
Every day, I check out various TGE/pre-TGE projects. It’s not necessarily about buying or shorting at launch, but more about broadening my understanding, building and improving my knowledge system, and avoiding potential pitfalls.
@NetworkNoya is about to TGE, likely within the next 1-2 months.
NetworkNoya is an AI and zero-knowledge machine learning-based full-chain DeFi protocol, focusing on AI agent-driven automated liquidity management and yield optimization. The project has no VC investment, with a total supply of 1 billion tokens, and 5% allocated to the community via airdrops. Current TVL is around $20 million, supporting 10+ blockchains and 40+ protocols.
http://NOYA.ai positions itself as an "intelligent liquidity factory," using AI agents to automatically execute yield optimization, lending, liquidity provision, and collateral management across 10+ blockchains (Ethereum, Arbitrum, Polygon, etc.), 40+ protocols, and 500+ pools.
Core products include Omnivaults (AI-optimized yield tools), Omnistrategies (modular strategies like LYFA leveraged farming and NOBO lending optimization), and a voice-activated zero-click DeFi terminal.
The team is anonymous, with limited public information indicating Hadi Esnaashari as co-founder/CTO, who has a blockchain tech background but is not officially confirmed.
Token noya total supply: 1 billion, allocation:
• Community rewards: 5% (yappers/social activities, depositors/LPs, referral tier rewards)
• KaitoAI: 1% of the community pool (~0.05% of total supply)
• Remaining allocation: Liquidity/ecosystem (specific ratios to be confirmed before TGE)
Recent project updates:
• November 15: Testnet v2.0 launch + Space Race snapshot, token coverage expanded to 394 assets, TVL reached $20 million
• November 10-18: "Great Intelligence" update, AI real-time analysis of 100+ tokens, enhanced voice DeFi terminal
Overall rating: 6/10
NetworkNoya represents the next stage of DeFi evolution, addressing the pain points of manual strategy management through AI automation. Its fair launch model, technical architecture, and full-chain coverage provide a solid foundation for the project. Key risks include team anonymity and uncertainties before TGE. Keep an eye on the Q4 TGE timing and participate in various airdrop activities to secure early allocation.
@KaitoAI Yaps kaitoyap
Share To
Timeline
HotFlash
APP
X
Telegram
CopyLink