Joao Baptista

@joaobaptista

61 Following

19 Followers

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Apps with distribution will eat the technical ones. Pump.fun destroying raydium with one announcement. It happens over and over again. Eventually the kid have their own house. If they have money to build that. Apps will merge to chains. Users will be monetized in many ways.

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Sci-Fi writers are the visionaries. Founders are the executors. Learn how to execute, more than anything.

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One question about Farcaster, can we algorithm model our timeline? Usually this feature is not on the user hands, being manipulated by the applications. Applications control what shows you on your timeline, managing the model that selects the optimized data for you. Can we fixed that on warpcast?

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@yanowitz brought me here again. So congrats to Jason. I'm also here. Warpcaster is populated again.

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ETF analyst probably know more than we think . One of the biggest risk for ETH : Is turning all the tokens into staked tokens. Running first a non-staked product for ethereum is healthy for our product. It will bring onchain activity renaissance! Super happy to have a non-stake ETF.

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After few weeks out. Let's check the vibes in Warpcast!

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@santiagoroel , probably miss my last casts. About the crypto analysis. I have the time to clear tables to screenshot and add for you take a look! i can def. share to you my google documents with all the data.

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Social apps is all about write and read. And currently is unpleasant to do that on farcaster. Time is precious and social applications need to give the better experience to writers. For writers give the best experiences to readers. at the moment, we can't compile casts; write longer casts ; or even bold text.

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I just have a feeling that is must harder to connect with new people and new casts on farcaster. Than twitter. I think we need a middle term.

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No hype for uniswap, around warpcast yet.

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Ahahah and @santiagoroel I start listening the pod and fucked I did not cast 10 plus casts for the free ticket 😂 Value opinion, only !

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Data availability ; L2 and L1 have the highest ratio of > 10 billion projects created. Data availability : 25% , with 1 project in 4 L2 : 15% , with 3 projects in 20 L1 : 12.35%, with 10 projects in 81 All infrastructure based.

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It's clear that most of the categories are based on infrastructure. But we see an increasing size of tokens , projects focused on user products. And that's the clear path to go. One category that is clear that is showing some valuations based on work done is gaming // NFTs . With 13 unicorns created.

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As a builder, I want to see where i can fast create value for my time. But i want to see where have lack of products builded. To better understand and understand the best time spending. As user, I want to know all the categories, to enjoy each one. Each one have something to give and improve.

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With clear thoughts of categories. We can think better about our time spending as investors , builders or even users. As investor, I want to be good expose to some critical categories that proof to be wealth generators. But, I want to be in up front narratives for life changing entries.

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The categories analysis gives some clear view for each project. We need to understand the category to better digest the project valuations. And we need to understand the easiest categories to build wealth historically and the categories that we need to be expose to the future.

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Another stuff that is interesting to relate is, the lack of unicorns is correlated with the lower tokens in that category. What is rational, because: -> More unicorns -> More incentives to fork -> Vampire attack -> 1 user can split their activity, same size of users -> Same "valuation" -> More unicorns

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Have other categories that have a single unicorn in their field. Restaking ; BRC-20 ; Identity That with guarantee will have a dozen of unicorns in the late bull market.

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Have some categories that have 0 unicorns in their field. Gambling ; Telegram apps ; Options Have 0 projects with the fdv > 1 Billion And at least 2 of these 3 categories will have in the near future - i can say it with confidence.

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The avg size per project of each category impact the overall valuation of the projects. In crypto impacts even more. And some projects are spiking the category value a lot. What can inflated the new ones. Who have nothing more, than a token.

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