ruburi pfp

ruburi

@ruburi

298 Following
339 Followers


Tony D’Addeo pfp
Tony D’Addeo
@deodad
Thiel on why a majority of millennials are now pro-socialists makes sense
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ruburi
@ruburi
there is simcity being built on base and you are going to miss it?
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ruburi
@ruburi
i miss /design-everydays it was cool
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ruburi
@ruburi
I just donated to @losfomos's crowdfund "Los Fomos: Farcaster-native IP is going IRL production"
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ruburi
@ruburi
its in my profile page, in header
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ruburi
@ruburi
arrghhh cant claim my hawaii tickets
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phragg pfp
phragg
@phragg
I could cry from the amount of support we've received from what we're building. It's not just yet another coin - it's the fact that we're tokenizing our company, our life's work. So many of you hopped on with us earlier to chat about what we pushed out, what we're planning to add, and what the future looks like. if SaaS took the web2 industry by storm I'm betting that an onchain agency is what the new norm will look like. I'm so thankful to be building with everyone here, helping them see their dreams through and I cannot wait until tomorrow, next week, next year. And i hope to all hell I see you lot in Miami this year. Let's rip it up. 💙
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ruburi pfp
ruburi
@ruburi
need to transform the momentum and speculation into actual bias ~$3k for design guiding and aesthetics of the product from pros is really pennies right now
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Shaw
@shawmakesmagic
god i fucking hate next.js *clones next.js starter repo*
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ruburi
@ruburi
something is cursed here
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ruburi
@ruburi
beautiful recap for the culture
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basil (propagation arc)
@itsbasil
there’s a fresh wave of clanker bullposting on twitter this morning these brief rallies—driven by headlines about a cease-fire or paused trade war negotiations—can make anyone who sold during the uncertainty feel underexposed a micro-cap up 70% or a virtualcoin up 85% looks impressive until you recall how far each still sits below its all-time high i don’t trade the daily swings. when the entire market gains double digits on a single news item, i focus on relative strength: which tokens held support through recent drawdowns, and which tokens have been quietly accumulated for months theough that volatility by steady hands core positions of strength that i’ve been building for months: • $clanker • $bnkr emerging projects showing organic momentum: • $native high-energy with distribution: • $noice • $i new launches from founders who think about tokens: • $qr • $checkr • $betr og clanks that keep shipping: • $bracky • $clankermon arena rookies worth watching: • $pro • $atl • $acid • $bkcr • $tort • $into new kids with armies: • $wtf • $opsys old guards still commanding attention: • $gdupi • $fartcoin • $drb • $dickbutt • $runner i’m more interested in projects that demonstrate resilience & sustained accumulation than in chasing an extra 50 percent on a low-liquidity spike time in the market—not today’s headline
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ruburi
@ruburi
currently experimenting with how we can see farcaster in other playful ways
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ruburi
@ruburi
appreciate your vision and fully agree on this one https://danromero.org/software-as-content.html this one resonates with me too
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basil (propagation arc)
@itsbasil
viewed strictly through its contribution to the ecosystem, opsys is likely already the third or fourth most valuable token on the platform i expect the farcaster eco to settle into roughly four layers: 1. $clanker · $bnkr 2. $noice · $tipn · $amps 3. miniapps/apps 4. $opsys + few others w/o tokens opsys flies under the radar because the layer it occupies is still open design space & many don’t yet recognize the root taking hold meanwhile, network partners are quietly accumulating the token as planned, knowing its core utility will be activated when ready so, instead of watching short-term volatility & charts, watch where $opsys is positioning themselves within the network & importantly, who with very few are doing this
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ruburi
@ruburi
the game is called 'guess the ticker'
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Dan Romero
@dwr.eth
https://danromero.org/software-as-content.html
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ted (not lasso) pfp
ted (not lasso)
@ted
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 @aneri 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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ruburi pfp
ruburi
@ruburi
if there was a 146% sleep, it would be me
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Willis🪖
@willisrules
Everyday i log into farcaster and pretend it’s 2011 tumblr, and it works.
40 replies
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85 reactions