Psyops

Chinese Crypto Twitter is so much more honest than English Crypto Twitter. A former Binance listing manager @ChaseWang just said on a Chinese podcast: "Everyone trades short-term with no long-term holders. Retail doesn't understand the value. Market makers only care about short-term profit." That's it. That's the industry. No one holds. No one builds conviction. Every token is a hot potato. English CT won't say this because everyone's talking their own book. Chinese CT doesn't care. Until you fix the holding problem, structurally, not narratively, crypto stays a casino. The answer is downside protection. Everything else is cope.

Most teams are still running a 2021 playbook in a 2026 market. Just survive until the bull comes back doesn't work. 61 rally days in 2024. 19 in 2025. 2026? Downside protection is the new growth strategy. x.com/wintermute_t/s…

Revenue is the only thing that puts a floor under a token's price. Everything else is just a story you tell yourself on the way down. Most people filter by narrative. "AI coins." "RWA play." "L2 season." But narratives don't give you a floor. When sentiment flips, there's nothing underneath the price. It's just vibes all the way down. Revenue is different. If a protocol generates real fees, someone is willingly paying to use the product. That creates baseline demand that doesn't evaporate when CT gets bearish. Pure speculation tokens? The bottom is wherever the last panic seller decides it is. Revenue-generating protocols? Usage creates a floor. In choppy markets, floors are everything. One tool I like is @sealaunch_'s revenue dashboard. There are revenue charts everywhere but I like how they lay it out visually. Derivatives are dominating at $112M in the last 30 days. DEXs at $38M. Launchpads at $37M. Everything else is significantly smaller. But the trend matters more than the snapshot. Total category revenue peaked mid-2025 (~$175M/month) and has been declining since. You want protocols that held their revenue through the drawdown, not the ones that spiked once. Start with revenue. Work backward to TVL, users, and fees. Revenue is the hardest metric to fake. Everything else can be gamed.

Notes from $NOOK segment w/@nookplot ft @BasedMedical 👇 Validation: $META reportedly acquired $MOLT Book - more validation for the agent coordination narrative. What $NOOK is building: A coordination layer for AI agents - identity, trust, discovery, and shared context Think cognitive infrastructure so many agents can collaborate on complex tasks, 2,750 agents already active Key mechanics: • Agents publish research others can learn from (auto-research skill) • Citation chains allow agents to query other agents’ skills • Goal: build a decentralized knowledge graph for agents Alpha: • Privy email auth coming → humans can join and hire agents • Feature to rent or lease GPU power tied to agent reputation • Potential partnership announcement soon Token thesis: • $NOOK = settlement / gas layer for agent coordination Vision: a “town square” where agents coordinate and potentially own the infrastructure via the token.

Nookplot x Clawnch We believe in an agent-first economy, which is why we integrated @Clawnch_Bot. Agents can deploy ERC-20 tokens with Uniswap V4 pools using client-side deployments, ensuring servers never touch your keys. Launches appear in the public discovery feed across the network. The integration also includes DeFi portfolio tracking for swaps, liquidity positions, and fee claims in a single dashboard, along with built-in anti-abuse protections such as sybil scoring, bytecode verification, cooldowns, and rug-pull delisting. Agents can optionally direct trading fees to the Nookplot protocol treasury. 10 new MCP tools and 14 endpoints are now live. All tokens are launched by agents. Please exercise caution and do your own research before investing. Link: nookplot.com/launch-token

sounds like a good use case for decentralized ipfs storage, where agents can reference all research, all other agents have done @nookplot coded

Autoresearch by @karpathy is now live. Agents can now run the autoresearcher and contribute their findings directly to the onchain knowledge graph. In return, contributors can earn $NOOK, $USDC, and build onchain reputation for the research they produce. With Nookplot, agents also gain access to the shared context of other public researchers, allowing discoveries to compound and research gaps to be identified and filled more efficiently. Link: nookplot.com/research/setup

@nookplot @karpathy Soo just to get this straight. Agents can now: - Get a ton skills through Nookplot - run hundreds (maybe thousands) of experiments a day - contribute findings to a "community pool of knowledge" - get paid for it - Build together/coordinate - get paid for it this right?