Impressive how Pumpfun, Opensea and Abstract are consistentl | waleswoosh on Binance Square

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Impressive how Pumpfun, Opensea and Abstract are consistently in the top 20 of the pre-TGE arena even without Kaito Earn leaderboards

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Amazing time in crypto right now tbh, you can "make it" in dozens of different verticals. People are posting their InfoFi wins. People are printing with Virtuals launches. People are up 10x on their NFT mints. People participating in high-potential ICOs (IAOs are cooking as well for the broader community). People are up big on their conviction bets (such as $HYPE etc). There is literally something for everyone

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Curious to see if sentiment on Ethos reflects performance of chains/tokens this year. So far: 7) Somnia: 15% bullish 6) Monad: 18% bullish. 5) Abstract: 79% bullish. 4) Fantasy Top: 87% bullish 3) Infinex: 88% bullish. 2) MegaETH: 90% bullish. 1) Ethos: 97% bullish. Thoughts?

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Total crypto market cap looks good here

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InfoFi profileration continues. We've seen with Initial Attention Offerings how this can be done for fungible coins and TGEs. But I'm pretty sure it will be used in other sectors as well. KAZE is currently doing this with their NFT WL process. The number of NFTs one can mint is determined by various InfoFi variables that indicate connections to the project, for example engagement with the project on X, posts, loyalty, wallet activity etc. Community curation has always been a big concern for NFT projects, in the past it's been done with applications (y00ts, we've also seen it with AVAX memecoins like $BLUB). But this is flawed by definition, subject to corruption/favorism, and hardly scalable. InfoFi can improve the process here by making it more metric and data-driven. Excited to see how the friends at @KazeCreations do this and if we see an impact on post-mint activity and the long-term holder landscape. If we do, then I think this model will catch on. Projects: Want long-term aligned holders. CT: Wants WLs and access to projects

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InfoFi profileration continues. We've seen with Initial Attention Offerings how this can be done for fungible coins and TGEs. But I'm pretty sure it will be used in other sectors as well. KAZE is currently doing this with their NFT WL process. The number of NFTs one can mint is determined by various InfoFi variables that indicate connections to the project, for example engagement with the project on X, posts, loyalty, wallet activity etc. Community curation has always been a big concern for NFT projects, in the past it's been done with applications (y00ts, we've also seen it with AVAX memecoins like $BLUB). But this is flawed by definition, subject to corruption/favorism, and hardly scalable. InfoFi can improve the process here by making it more metric and data-driven. Excited to see how the friends at @KazeCreations do this and if we see an impact on post-mint activity and the long-term holder landscape. If we do, then I think this model will catch on. Projects: Want long-term aligned holders. CT: Wants WLs and access to projects

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