Friendtech, Fantasy Top & The Future Of SocialFi I Bread (@0xBreadGuy)

We are joined this week by Bread (@0xbreadguy) to discuss the rise of SocialFi and the apps which have taken the crypto space by storm, namely FriendTech and Fantasy Top. Bread is a Crypto Twitter personality who has been in the trenches of SocialFi since the very beginning, helping to popularize the 3,3 Friendtech meta and providing a trove of useful information for those looking to get started. We also talk about the future and relative positionings of Btc, Eth and Sol - before breaking news about the SEC's reversal on a potential Eth ETF approval and providing live reactions to this potentially seismic new shift in political tone - - Time Stamps (0:00) - Intro to FriendTech (4:21) - Bonding curve as the unique insight (7:27) - Do FT keys hold any real utility? (12:52) - Risk of doxxing users’ wallets (16:35) - FT starting a new 100% airdrop meta? (22:07) - FriendTech V2 and Clubs (27:17) - Intro to Fantasy.Top (35:01) - Reducing friction for content creators (37:43) - Solfate Ad (38:07) - L1 landscape and looking to the future (48:50) - NFT inscriptions on Eth (57:24) - Btc and progress vs ossification (1:08:27) - ETF approvals, politics and the rise of $BODEN - - Podcast Resources Follow Sal: https://twitter.com/salxyz Follow Dave: https://twitter.com/SolBeachBum Follow Zen : https://twitter.com/ZenLlama Follow Unlayered: https://twitter.com/UnlayeredPod Subscribe on Spotify, Apple, or Google: https://unlayered.io/ Subscribe on YouTube: https://www.youtube.com/@UnlayeredPod - - Episode Resources Follow Bread : https://Twitter.com/0xbreadguy

Om Podcasten

Think beyond Ethereum and dive deep into the world of next generation blockchains. Join us as we engage with founders, engineers, researchers, investors, and critics of high-throughput, low-fee, parallelized blockchains like Solana, Monad, Sei, and more. Unlayered is for crypto natives eager to stay updated with the latest developments, complementing shows that focus primarily on Ethereum and its layered scaling approach.