Amateur webmaster. Built and sold @PromptHero after scaling it to 4M+ users/mo, now making more startups & open-source 💎 Ruby gems (330k+ downloads)

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Joined April 2010
Today is my 🏋️‍♂️ LIFTVERSARY I started lifting exactly 6 years ago today I was super skinny at the time, only 57kg (125lbs) I signed up for a gym at the beginning of December 2019, but I was so scared I kept postponing my first workout I was so intimidated that the first time I went for a workout I only ran on the treadmill I chose the treadmill because it was the only thing in the gym I knew how to use. It was a safe place and I mostly used it so I could look at the rest of the gym from there, and try to figure out how things worked, how people were actually using the equipment It took me a couple days until I went in and actually started lifting weights I have everything logged: the first thing I ever did was bench press with 4kg dumbbells (8 lbs) and I remember my arms were shaking (!!!) I was so weak and thin I couldn't even lift four kilos without my entire body shaking Then I started eating A LOT, way more than my skinny body wanted And I kept lifting heavier every session, so every workout I felt less and less weak until the shaking went away The following year I went on to gain ~15kg (33 lbs) Covid hit shortly after I started lifting, and all gyms closed down, so I had to improvise a gym at home with water jugs just to keep the habit and the early gains Then I started nomading, traveled to Portugal, then Thailand, all while gyms were still closed down, so I had to train at home and in hotel rooms with TRX straps for months I also had to endure through a nasty leg infection in Koh Samui Thailand that got me hospitalized for a week and limping for a while. Still I kept on deadlifting shortly after surgery I had two or three year-long hiatuses here and there, generally correlated with injuries / traveling / moving countries (life is difficult!) but the overall trend is up and to the right!!! I'm now the strongest and heaviest I've ever been, and still a long way to go too! The first pic is me in my second week at the gym. The second pic is from yesterday I've gained ~30kg (66 lbs) total since I started back in 2019, I'm now 84kg (185 lbs)
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«Where we're going, we don't need tires»
Flying cars are real now 🔥
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this was the most dystopian and futuristic product launch video I've ever watched in my entire life
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Do we realize Elon has just given us FREAKING FLYING CARS
We wanted flying cars, and we got 140 characters... along with flying cars(!!) all from the same mad lad I love the future.
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This is the growth chart of one of the projects I'm working on It shows {key_metric} weekly over time (non-cumulative ofc) It's growing exponentially at ~30-50% week over week {key_metric} correlates directly with revenue This is not as good as it looks. Why? Wrong answers only
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this video is becoming my entire personality now that it’s so undeniably over
Software is dead It's now the era of personal software and everyone just builds what they need whenever they need it I think
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I was having a conversation with ChatGPT Voice and all of a sudden I started hearing… a voice message from another user? The AI voice glitched in the middle of a sentence and when it came back it was an absolutely different voice, a female human voice talking about how she was in her 9th business and was thinking about giving up even though she promised herself she wouldn’t etc Wtf?
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✨ I built an @OmarchyLinux plugin! It's called Clipbasket and it's a clipboard manager > But doesn't Omarchy already ship with a clipboard manager? So do macOS and Windows, but they miss a few key features: - Search - Save + pin clips - Filter by clip type - Copy text as Markdown - Get paths of copied files (relative, absolute, filename, etc.) - And a few other things that can save your day when you need them It stays always on your menubar, ready to go for whenever you need it!
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It handles image clips nicely with a preview, it also gives you info about the clipped image (size, weight, etc); it handles copying multiple files, etc
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One unexpected thing LLM coding is helping me with is becoming a better capital allocator Before LLMs I used to think my technical / coding abilities were ~free, because I would just pay with time I would code and build for hours and days at a time, without thinking much about how many resources I was allocating to each project / task, just because building felt costless to me Entire weeks spent on side projects that went nowhere, just because I felt productive while building and it didn't actually cost me anything It's different now. Nowadays I keep checking my Claude limits and running the /cost command to see how much the current session would have cost in API tokens Your mindset changes all of a sudden when you can quantify in dollars how much you've put into this or that thing This new side project cost me $3.5k, this useless feature cost me $860, I've spent $1k in busywork today Would I have built this project if I had to pay $5k out of pocket? Probably not. I do not expect $5k in returns. Then why did I make it? Is there a better use for that $5k? Post-token clarity
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The other day while developing one of my Ruby gems I came across a bug Fable analyzed it and it was a bug in Rails itself So we put together a fix and submitted the PR And it has just been merged into rails/rails! So I guess I'm a Rails contributor now 🎉 (or Fable is)
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Replying to @ori_pomerantz
I’m significantly older than you. I started coding in the late 60s. My current strategy is to not read any of the code written by my agents. That’s the only way I can take advantage of their productivity. What I do instead is to surround the agents with extreme constraints. Unit tests, gherkin tests, QA procedures, quality metrics, mutation testing, test coverage, and a plethora of others. In the end, I have very high confidence in the code they produce because they’ve had to run the gauntlet of all of my constraints and tests.
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Just tried setting up Kimi K3 to see how it compares vs Fable and 5.6 Sol But Kimi access is... sold out? xitter.cf/levelsio/status/207809…
Thanks everyone got OpenCode working with Kimi K3 First I tried OpenRouter but immediately it said "rate limited upstream" So that upstream being Kimi's servers, so I signed up to Kimi, paid $19, got an API key and off we go! Unlike Claude Code it doesn't block me every 5 minutes now for just making Windows XP work in the browser (zomg cybersecurity!!!!11), ridiculous being belittled by your AI model all day Yesterday I asked about monocytes vs lymphocytes ratio in my blood cause I saw someone post it here and Claude started a whole tirade how it's worried about me because I ask him about my health, the actual fuck?
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I'm just a token allocator now My entire job description has been reduced to "allocate tokens to the right tasks"
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rekt
We're extending access to Claude Fable 5 on all paid plans through July 12.
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I have a problem I always build and build but never talk about what I've built Because by the time I’ve finished building I already got all the dopamine hit I needed and jump immediately to the next project I have projects that I've been running in production for months but I never mention them because I’m already busy building the next thing > classic_engineer_marketing_problem.jpg So I wanna force myself to record videos talking about stuff I’d talk about my open source gems, showcase how you can use them in your projects with AI etc I don’t know yet what exact shape to give to this whole thing, because I think if I just talk about my stuff no one is going to care. I can't just yap about me me me me So I have this intuition that it’s better if I create content that’s kinda more educational and I share lessons learned, tricks, stories, patterns that don’t just apply to my stuff / Ruby on Rails but can be useful across any language / framework / projects etc Ofc it would all be no-code or low-code, since AI can now do all or most coding, but I still think there’s a lot of value in being knowledgeable yourself and knowing what to ask the AI agents Anyway this video content thing is a very loosely defined idea as you can see I recorded a first demo video the other day but idk if I like it, and I've been going back and forth between publishing it and deleting it for a few days In the video I kinda ramble for 19 min and I think it may be too long, but watching myself is not as cringey as I thought I would be I feel tempted to redo it but I think the first few videos are going to be bad regardless and I just need to accept it, embrace it, publish everything, and push through I may end up posting it idk We’ll see Screencaps of the video attached to give you an idea
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ah shit, here we go again
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Introducing Kamal-UI 🪷 Self-hosted dashboard to check your Kamal-Deployed server health, logs, metrics, proxy routes, lifecycle controls and pretty charts. github.com/ronaldlangeveld/k… 💎 Built on Ruby on Rails 🧑‍💻 Licensed under MIT 💡 Inspired by @37signals Give it a ⭐️ :)
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In general, you want to maximize for inequality as much as possible Maximizing inequality means you're going to get some retards, yes, but you're also going to get some mega-geniuses that will essentially offset and save everyone else Making everyone equal just means everyone is equally doomed This is no different than communism. In communism, everyone is equal -- equally poor, that is What you want is teams of 160+ IQ geniuses building space rockets, AI datacenters, cures to illnesses Not teams of midwits that kinda get some things done but don't really advance anything This applies to IQ, economy, sports, and pretty much everything in life "Let's make everyone equal" is never the right answer, no matter how well-intentioned the proposal is
If you press the button, every single person's IQ on the planet earth suddenly becomes 115. You:
37%Press
63%Do not press
4,498 votes • Final results
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Some months ago when I met Edu I found out he had been working for YEARS on a 3D renderer But he had never launched it Hundreds of commits sitting on GitHub that were never going to see the light of day I suggested to make it open source, and he finally did it!
I coded this without AI 5 years ago, back when I was 17, I was learning to code C++ in a coding bootcamp One of the projects was to make a simple ray tracer in C without thid-party libraries I love computer graphics so after the project I decided to create my own ray tracer and it got out of hand I ended up working on it consistently for over a year I never had the time to clean up the code and make it decent for release, but now with AI it became possible I let Codex run for 4h and it managed to improve performance by another ~5x 🤯 I just made the entire project open source, have a look 👇🏻
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