[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.] #  @Vanilabtc VanillaBTC (Ø,G) π² VanillaBTC (Ø,G) π² posts on X about $43m, decentralized, token, tao the most. They currently have XXX followers and X posts still getting attention that total X engagements in the last XX hours. ### Engagements: X [#](/creator/twitter::1730957469273186304/interactions)  - X Month XXX -XX% - X Months XXXXXX +102,927% - X Year XXXXXX +47,167% ### Mentions: X [#](/creator/twitter::1730957469273186304/posts_active)  - X Month X +100% - X Months XX +7,600% - X Year XX +3,800% ### Followers: XXX [#](/creator/twitter::1730957469273186304/followers)  - X Month XXX -XXXX% ### CreatorRank: undefined [#](/creator/twitter::1730957469273186304/influencer_rank)  ### Social Influence [#](/creator/twitter::1730957469273186304/influence) --- **Social category influence** [vc firms](/list/vc-firms) XXX% [cryptocurrencies](/list/cryptocurrencies) XXX% **Social topic influence** [$43m](/topic/$43m) 100%, [decentralized](/topic/decentralized) 100%, [token](/topic/token) 100%, [tao](/topic/tao) 100%, [$376b](/topic/$376b) 100%, [$30b](/topic/$30b) 100%, [$100m](/topic/$100m) 100%, [proof of](/topic/proof-of) 100%, [100m](/topic/100m) XXX% **Top accounts mentioned or mentioned by** [@gensynai](/creator/undefined) **Top assets mentioned** [Hundred Million (100M)](/topic/$100m) ### Top Social Posts [#](/creator/twitter::1730957469273186304/posts) --- Top posts by engagements in the last XX hours "a16z backed @gensynai with $43M for decentralized AI trainingand there's NO TOKEN yet Quick math: TAO (training + inference): $3.76B mcap RNDR (GPU rendering): $3.0B mcap Gensyn (ONLY training): pre-token AI training costs grow 2.4x/year. GPT-4 cost $100M to train. Gensyn uses "Probabilistic Proof of Learning"verifies training WITHOUT expensive replication. This is the tech edge. Testnet launched March 2025. Working product: RL Swarm (72B param models) BlockAssist Judge. The play: early testnet contributors historically get rewarded (Celestia Starknet style) Risks: no token = no price" [X Link](https://x.com/Vanilabtc/status/1980405394456387655) [@Vanilabtc](/creator/x/Vanilabtc) 2025-10-20T22:46Z XXX followers, XX engagements
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VanillaBTC (Ø,G) π² posts on X about $43m, decentralized, token, tao the most. They currently have XXX followers and X posts still getting attention that total X engagements in the last XX hours.
Social category influence vc firms XXX% cryptocurrencies XXX%
Social topic influence $43m 100%, decentralized 100%, token 100%, tao 100%, $376b 100%, $30b 100%, $100m 100%, proof of 100%, 100m XXX%
Top accounts mentioned or mentioned by @gensynai
Top assets mentioned Hundred Million (100M)
Top posts by engagements in the last XX hours
"a16z backed @gensynai with $43M for decentralized AI trainingand there's NO TOKEN yet Quick math: TAO (training + inference): $3.76B mcap RNDR (GPU rendering): $3.0B mcap Gensyn (ONLY training): pre-token AI training costs grow 2.4x/year. GPT-4 cost $100M to train. Gensyn uses "Probabilistic Proof of Learning"verifies training WITHOUT expensive replication. This is the tech edge. Testnet launched March 2025. Working product: RL Swarm (72B param models) BlockAssist Judge. The play: early testnet contributors historically get rewarded (Celestia Starknet style) Risks: no token = no price"
X Link @Vanilabtc 2025-10-20T22:46Z XXX followers, XX engagements
/creator/twitter::Vanilabtc