Alana Levin

@alanadlevin

222 Following

3523 Followers

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Someone who's good at sports betting, please tell me where the math breaks down https://x.com/AlanaDLevin/status/1943681547061563437

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Firmly believe that the only way to justify living in NYC is to take full advantage of the city If you live here, you should be going to standup shows and jazz clubs. Find new people every week to grab dinner with - almost anyone you could hope to meet passes through NYC at some point during the year. There are spontaneous pop ups in the parks all the time; go to them when you're free. There are endless coffee shops and restaurants to try. Countless bookstores, art galleries, and museums to explore. Took me about a year and a half to realize all of this and embracing it dramatically improved how much I enjoy the city

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Walked another 7 miles yesterday just while watching the Fritz match

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Libby is probably one of the most underrated public goods in the US

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New essay analyzing many of Robinhood's recent product announcements, including an updated perspective about where the company may be headed: https://x.com/AlanaDLevin/status/1940163538330296503

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Discovered the TVs by the treadmills in my gym are broadcasting Wimbledon and as a result I’ve walked nearly 15 miles today

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This was so good. Watched a bunch of behind the scenes stuff about it and it’s incredible how much attention to detail Benito had when crafting the show (even down to Grace needing to have a middle part vs a side part in her hair)

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software as content is the most underexplored, highest potential opportunity right now. what i'm seeing right now in terms of AI-generated videos and apps mirrors exactly what i observed and studied about tiktok's rise to dominance. on the surface, it may seem like tiktok’s earliest wave was driven by dancing. in reality, it was driven by accessibility: it gave users a clear format, a song, a trend, a shared visual language. everyone could easily participate. you didn't need to be famous or particularly good dancer. you just needed to show up, try it, and post it — and all you needed was your phone and the tiktok app. tiktok lowered the barrier to creativity by making experimentation feel intuitive, fast, and social. since those early days, the creative aperture has widened. we've seen an explosion of new video (and now carousel!) trends proliferate: GRWM videos, DIML videos, how it started vs. how its going, pepe the prawn king stories, man of the year, etc. with AI, we're seeing the same pattern happen again but now across apps and media. tools like suno, ohara, runway, replit, veo, etc. have turned content creation into prompt-based creative exploration and play. people are spinning up apps, webpages, music, videos, memes, etc. these are not polished projects, but expressive and creative experiments. AI is doing for software and media what tiktok did for video content. it’s lowering the bar, speeding up iteration, and turning more people into creators. now anyone can create a software experience that is lightweight, interactive, and shareable without needing technical mastery. AI is doing for software and media what tiktok did for video: lowering the bar, accelerating iteration, and turning spectators into creators. and when you combine the two (generative video and generative apps), you start to see something powerful: built-in infrastructure for creativity and distribution. we’ve already seen glimpses of this with tiktok effects: green screen, face morph, the do-re-mi filter. they were creative building blocks. effects like these sparked entire viral trends because they were easy to use and fun to remix. AI tools today work the same way. a single model can kick off a wave of content. a new aesthetic, a format, a meme. we saw it with the studio ghibli-style AI videos that took over timelines. we’re seeing it now with suno tracks and animals-doing-olympic-sports becoming go-to sounds or videos for tiktok and reels. and we also saw this happen on farcaster. remember when @jc4p did the builder alignment chart app? or when @0xaneri.base.eth did the hogwarts sorting hat app? early tiktok creators tested what worked using songs, dances, and effects. today’s AI-native creators are doing the same with prompts, tools, and interactive media. the platforms are different and the tools are more powerful, but the behavior (experimentation, participation, and distribution) is the same. we need to lean into existing user behaviors.

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Everyone should think of themselves as an athlete Imo it’s the single greatest unlock for staying healthy. So much easier to eat well, exercise intentionally, and recover consistently when the litmus test is “what would an athlete do?”

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Nice, hadn’t seen this before!

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Vibe Coding is AI-Native Social Media full essay: https://backoftheenvelope.substack.com/p/vibe-coding-platforms-are-ai-native

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There has never been a better time to build wearable cooling devices

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Wrote a short thread on the state of the perps market https://x.com/alanadlevin/status/1935787616462643648?s=46

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The onboarding flow - takes too long - I tend to want to share a mini app, but it takes them to the home feed instead of the intended destination when they onboard

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The #1 question that matters when buying a token: what belief does buying this asset allow me to express about the future?

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It's supposed to hit 99 degrees in NYC next Tuesday Will be one of the hottest June days ever recorded

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Let me know what you think once you see it!

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Saw Materialists this weekend Initially disliked it (it’s NOT a rom com) but I also haven’t stopped thinking about it Feel like every person will have a different reaction to it based on where they are in life, and that actually makes it a way more interesting movie

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One trick for finding insights When something strikes you as interesting, innovative, disruptive, or even just memorable, ask “how might this generalize?”

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One of the most striking insights from Coinbase's State of Crypto summit today came from @barmstrong's fireside: how is it that Coinbase is such a startup factory? There are more paths to a yes than a no Twice a year, Coinbase holds an internal pitch competition, where anyone can suggest an initiative for Coinbase to pursue. Every internal leader has a budget for these venture-like bets; all it takes is ONE yes to get an initiative greenlit When making venture bets, there are often far more paths to a "no" than a "yes" - it's often easier to imagine how something can go wrong than how it can go really right. Coinbase inverted this model and my guess is that it's a big part of the reason why Coinbase is such an impressive founder factory

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