I build ai tools and post what they actually cost me building mason: rough sketch → production UI

Nigeria
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turned 21 today also shipping my first real SaaS SketchMason turns a rough hand-drawn sketch into a finished interface. - draw the layout. - get the design. - export the HTML. built it alone, bootstrapped, no team, no funding. you get 2 free generations, no card needed sketchmason.com pretty good way to start 21 :)
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I finally reached the magic number of $5M in net worth 🥳 This isn’t all cash. It’s everything combined: + My 36 startups (90%+ of their value comes from DataFast & TrustMRR) + Investments (85%+ in the S&P 500) + Cash What surprises me most is getting here at 33 without ever: - Working more than 8 hours a day - Building anything grandiose - Working for someone else - Doing work I don’t like - Going to an office Don’t you dare give up :)
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hey, i'm Vanya 👋 building in public from Novosibirsk. spent years shipping products solo - one of them made me a whole $1. the rest: build, launch, wait, abandon, repeat. this time's different. going from $0 to $10k/mo, out loud, here. (and yeah, video's AI-dubbed - my english was the thing keeping me from hitting record at all. one-time crutch, not doing it again) also gotta thank my girlfriend for pushing me to finally hit record, and for sticking with me through all the cringe of the process <3 and @robj3d3 - man, you're an insanely cool dude <3. you didn't nudge me daily like she did, but your part in this is huge too
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i kept seeing these Claude Opus 5.5 motion design videos all over X, so obviously I had to try it with SketchMason I gave Claude one prompt: “make a 15-second motion graphics showreel for SketchMason. go all out.” - no After Effects. - no video model. it basically wrote the entire film in code. 15 seconds = 900 frames at 60fps. Claude wrote roughly 5,000 lines, rendered every frame in headless Chrome, synced the whole thing to a 128 BPM timeline, generated its own soundtrack from raw waveforms, added motion blur, film grain, colour fringing, and even checked whether the beats were landing on the correct frames. the crazier part? it reviewed its own render. it generated contact sheets, looked at them and started fixing things a motion designer would notice: - pen tip was outside the frame - words were colliding - end card was too low - one 3D shot had too much empty space final render used 8 Chrome instances in parallel feeding ffmpeg and took around 7.5 minutes. but my favourite part is that the video actually tells the SketchMason story: rough pencil sketch to finished interface. AI generating videos is cool AI writing an entire motion design system, rendering it, testing it and critiquing its own output feels like something else entirely. anyway, here’s what it made
WTF? Made with claude OPUS 5.5 Prompt "make a dynamic 15-second motion graphics video that shows what an incredible motion designer you are, like it's your showreel for a résumé. go all out." That's it..
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Someone could make an app that just makes motion videos like this and print $100K MRR in a month.
WTF? Made with claude OPUS 5.5 Prompt "make a dynamic 15-second motion graphics video that shows what an incredible motion designer you are, like it's your showreel for a résumé. go all out." That's it..
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I spent 27 days learning how to build SketchMason. now i’m realizing i might spend longer learning how to get people to care about it. coding gives you immediate feedback something breaks - fix it UI looks bad - improve it model output sucks - change something. distribution is completely different. you can build something good, post about it, and hear absolutely nothing. so i’m starting to treat distribution the same way i treat engineering: test things. measure what works. stop getting emotionally attached to bad ideas. repeat. right now that means replying to more people, making videos, sharing what i’m learning and actually talking to users instead of sitting behind my laptop polishing features. i used to think building the product was the job now i think building attention around the product is part of the product. let’s see what happens after 30 days of treating it that way
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When I started @SubnetSummerTAO, I had no plan to run a validator. I came into Bittensor as a community member and nothing else. Subnet Summer was built to give that community a place to talk in public about subnets, the protocol, and where this network is heading. That's what the Town Square was always meant to be. But over time, something kept bothering me. Some of the most valuable opinions on subnets and the protocol came out of our AMAs, Spaces and Telegram, and most of them fell on deaf ears. A town square where the conversation never reaches the decisions is only half built. At the same time, validators were quietly becoming the most consequential seats on the network. Conviction, the emission gate, Root Reborn. More power and more discretion, with almost no way for the people staking behind them to have a say. That's when it clicked. Validators were massively underutilised. I hadn't seen anyone build incentives into a validator that give the people behind it a real voice in how it votes and where it allocates. I didn't need to wait for someone else to do it. So today we're launching the Subnet Summer Validator, built with Medulla Labs. I want to be upfront about something. I don't have relationships with VCs or large investors. This only works if it's driven by you: the individual in this ecosystem who believes Bittensor should keep decentralising and never become like its centralised counterparts. The name stays Subnet Summer because the mission hasn't changed. Community, education, events, and now a validator. All of it exists to support Bittensor and its subnets. The Town Square gave the community a voice. Now that voice carries weight.
Subnet Summer started as a place to talk. Today it becomes a place where stake can speak. The Subnet Summer Validator is live, built with Medulla Labs. Where your root yield goes is your call. You vote, it moves. The Town Square of Bittensor now has a vote. 🔗 : subnetsummer.com/
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Subnet Summer started as a place to talk. Today it becomes a place where stake can speak. The Subnet Summer Validator is live, built with Medulla Labs. Where your root yield goes is your call. You vote, it moves. The Town Square of Bittensor now has a vote. 🔗 : subnetsummer.com/
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2 days ago i said i was done waiting for people to notice me and decided to start making videos. Day 1: 540 views Day 2: 1,329 views obviously these aren’t crazy numbers, but that’s not really the point. i almost didn’t start because i kept thinking about the perfect camera, better lighting, better scripts, whether anyone would even care. turns out the second video already reached more people than the first. and i’m starting this TikTok from basically zero. this is exactly why “just start” finally makes sense to me. you don’t need the blueprint before you begin. - you post - you see what people respond to - you improve - you post again Ps: the instagram was an old account 28 more days. now i’m curious what happens if i actually stay consistent
I think i’ve been using “i need distribution” as an excuse for too long. AI UGC tools are expensive. paying creators every time i want content isn’t sustainable either. then i realized something obvious: Marc Lou and most of the SaaS founders i look up to didn’t wait for someone else to give them an audience. they built one. i’ve been watching a lot of tech creators on TikTok lately and, without trying to sound cocky, some of them aren’t necessarily better technically than me. they’re just way better at distribution. and that difference is making them more money. i’ve grown a TikTok account to 10k before, although it was completely unrelated content. so no, i don’t have some perfect blueprint for tech content. but i know i can learn so i’m done waiting for X alone to somehow figure everything out for me for the next 30 days i’m going to actually put myself out there: TikTok Instagram YouTube X videos, product builds, things i’m learning, mistakes, whatever actually feels useful. maybe one platform works. maybe none of them work immediately but i refuse to believe 30 days of actually publishing teaches me less than another 30 days of thinking about publishing. bought some lighting to make the content good. nothing crazy, but enough to start, waiting for the perfect setup is probably just another excuse anyway. skill without distribution is almost invisible anyway time to learn the other half. follow along.
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small numbers compound too. documenting this now so if one of these eventually
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hot take: Jev’s biggest risk isn’t OpenAI copying it. it’s Jev becoming a category instead of a moat. Jev launched less than a week ago and adoption is already insane. but look at what happened almost immediately: CUA trained a tiny specialist model for form filling and reported 99.7% on their eval. Jev got 83.6% open-source Jev like implementations are already appearing too and that makes me think the actual future isn’t: one Jev to rule every decision. it’s probably: general decision model for zero shot tasks ↓ collect enough domain data ↓ train a tiny specialist ↓ cheaper, faster, better at that specific job which creates a weird question for TypeSafe: if every successful Jev use case eventually produces the training data for its own replacement… what exactly is the moat? maybe the answer isn’t the model. maybe it’s the API, calibration, tooling, distribution and becoming the default interface for machine decisions. Jev might not disappear. but “Jev-like” could become much bigger than Jev itself. curious what everyone thinks.
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Time to get back to my $200 MRR SaaS.
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FREE
Jev by @typesafeai is free on Vercel AI Gateway until Sept 25. Build with the fastest adopted model on the Gateway at no cost. vercel.com/ai-gateway/models…
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funny thing is, you were one of the first people i followed when i made this account after my old one got suspended at 650+ followers. i tag people because i genuinely respect their work and sometimes i want them to see what i’m building too. i’ll admit it, i’ve overdone it with people like Marc before. that part of the criticism is fair. nobody wants to be tagged in every post. but there’s another side to this that i think gets ignored. people always say “just ship good stuff and you’ll get noticed.” i don’t really believe that anymore. there are thousands of people building genuinely good products and posting useful things every day that almost nobody sees i’ve experienced it myself. i posted for months before one post finally took off. bigger creators noticed me for a moment, then a week later you’re basically invisible again even when you double down on the same quality. so the question i’m genuinely trying to figure out is: how does a small creator get into those circles without already having the audience, money or connections? sometimes you ship sometimes you reply. sometimes you tag someone whose work inspired yours and hope they notice. my original post was literally inspired by people i’ve watched for months. Theo, Marc Lou, Greg Isenberg and others. i’d love to build an audience and businesses at that level someday. so “don’t randomly tag me” is a fair message. but “it makes us root for your failure”? damn. i can’t imagine getting to a position where smaller builders look up to me and my reaction to them trying to get noticed is hoping they fail. maybe i’ll understand the annoyance better when i get there but i hope i never lose the part of me that remembers what it felt like to be the small account trying to get somebody to notice. anyways back to building.
I think i’ve been using “i need distribution” as an excuse for too long. AI UGC tools are expensive. paying creators every time i want content isn’t sustainable either. then i realized something obvious: Marc Lou and most of the SaaS founders i look up to didn’t wait for someone else to give them an audience. they built one. i’ve been watching a lot of tech creators on TikTok lately and, without trying to sound cocky, some of them aren’t necessarily better technically than me. they’re just way better at distribution. and that difference is making them more money. i’ve grown a TikTok account to 10k before, although it was completely unrelated content. so no, i don’t have some perfect blueprint for tech content. but i know i can learn so i’m done waiting for X alone to somehow figure everything out for me for the next 30 days i’m going to actually put myself out there: TikTok Instagram YouTube X videos, product builds, things i’m learning, mistakes, whatever actually feels useful. maybe one platform works. maybe none of them work immediately but i refuse to believe 30 days of actually publishing teaches me less than another 30 days of thinking about publishing. bought some lighting to make the content good. nothing crazy, but enough to start, waiting for the perfect setup is probably just another excuse anyway. skill without distribution is almost invisible anyway time to learn the other half. follow along.
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Focus tools feel backwards. they block the internet, but most work happens there. x, youtube, reddit and chatgpt can be work. until they aren't. so i'm building driftguard: set one intention, work normally, and get a check-in when the session drifts. would you use this?
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Chronicles of the workshop.
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Jev just solved doomscrolling. You pick a niche, Jev reads 3 days of posts and asks 8 questions each. It runs in ~2s for $0.007 😅 > removes bait and hidden ads > judges the text and like/reply/repost ratios Free, no signup, go try it then touch grass ↓🌲
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I think i’ve been using “i need distribution” as an excuse for too long. AI UGC tools are expensive. paying creators every time i want content isn’t sustainable either. then i realized something obvious: Marc Lou and most of the SaaS founders i look up to didn’t wait for someone else to give them an audience. they built one. i’ve been watching a lot of tech creators on TikTok lately and, without trying to sound cocky, some of them aren’t necessarily better technically than me. they’re just way better at distribution. and that difference is making them more money. i’ve grown a TikTok account to 10k before, although it was completely unrelated content. so no, i don’t have some perfect blueprint for tech content. but i know i can learn so i’m done waiting for X alone to somehow figure everything out for me for the next 30 days i’m going to actually put myself out there: TikTok Instagram YouTube X videos, product builds, things i’m learning, mistakes, whatever actually feels useful. maybe one platform works. maybe none of them work immediately but i refuse to believe 30 days of actually publishing teaches me less than another 30 days of thinking about publishing. bought some lighting to make the content good. nothing crazy, but enough to start, waiting for the perfect setup is probably just another excuse anyway. skill without distribution is almost invisible anyway time to learn the other half. follow along.
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posting this so i can’t quietly disappear after 3 days 30 days. 4 platforms. no excuses. let’s see what actually works
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I just read what Zuck wrote about Muse connectors. A few things I think this means: 1. We’re witnessing the agentification of consumer apps. 2. Zuck believes Muse reaching 100M+ users feels entirely possible. 3. Whoever you connect to becomes your new landlord, so pick carefully. 4. Connectors become the new app listings (valuable real estate). 5. Being early could be as valuable as being early to the App Store in 2009. 6. Meta sees what people want, which providers convert, and what users will pay. That gives it the power to rank connectors, charge for distribution, and launch competing services. 7. The opportunity map includes agent native APIs, connector agencies, SEO for agents, identity and reliability infrastructure, and vertical connector marketplaces. 8. We’re moving from humans choosing apps to agents choosing businesses. 9. Every business will need an agent strategy, just like every business needed a mobile strategy. 10. Kinda crazy to say but a 3 person API company could reach 10M+ users through one great connector. 11. Connectors could create an entirely new second-order economy. The biggest opportunity may be helping businesses distribute, price, and optimize their services for agents. 12. Your API becomes more important than your app. Weird to think about but true. 13. Zuck wants Muse to own the moment between wanting something and getting it. He is coming for the app economy. Will he win? Right now it's Instinct vs Muse vs Grokbot. TBD.
Opening access for developers to build Muse connectors. You bring the API -- Muse brings the agent, the browser, and the context of what the person actually wants. People reach your service just by asking for it, and their agent takes it from there. New connectors are live today. Come build with us. muse.ai/platform
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