I built a SaaS without knowing how to code – am I an idiot?
It's called learnfrom.co, a platform for creating, hosting and selling online courses. I started building it because I wanted to solve a problem I had with existing course platforms. I kept running into things I wanted to change, so I started building them myself. The problem: I wasn't really a software engineer. Instead, I started using AI to build the product. I'd describe what I wanted, let it write the code, test it, fix things when they broke, and repeat. That somehow turned into a real product. LearnFrom is now used by 100+ creators and businesses, with real students and real payments…
What it does
Turn your knowledge into a scalable business. Create and sell online courses with ease.
Upload your content and start earning from your expertise. No monthly fees, no subscriptions — you only pay a small fee when a student enrolls. Your cost goes down as your audience grows. Other platforms charge sky-high monthly fees, overload you with features you'll never use and even put limits on your growth. We’ve cut out the noise and kept the tools that actually matter. From building your course to getting paid, everything is designed to be simple, seamless, and stress-free. Upload videos, add resources, and organize lessons with drag-and-drop. Create a polished learning experience your students will love. No tech skills required. Grow without limits. Whether you have 10 students or…from learnfrom.co
In the maker’s words, at launch
It's called learnfrom.co, a platform for creating, hosting and selling online courses. I started building it because I wanted to solve a problem I had with existing course platforms. I kept running into things I wanted to change, so I started building them myself. The problem: I wasn't really a software engineer. Instead, I started using AI to build the product. I'd describe what I wanted, let it write the code, test it, fix things when they broke, and repeat. That somehow turned into a real product. LearnFrom is now used by 100+ creators and businesses, with real students and real payments going through it. And that's where I'm starting to get uncomfortable. "It works" and "it's well engineered" are obviously not the same thing. So I'm bringing it to HN to find out how much trouble I'm actually in. If you were reviewing this before I'd let more customers depend on it, what would you look for first? Security? Authentication? Authorization? Data isolation? Payments? Architecture? Performance? AI-generated code? Something I haven't even thought about? Please assume I'm guilty until proven innocent.
Does the same job
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Hi guys, I've created an open source web builder framework (https://grapesjs.com) years ago, which I'm still maintaining, and now I'm excited to publish a side project based on it, Grapedrop (https://grapedrop.com). It's a simple web page builder which allows you to design and publish your web pages very quickly. The project is still in beta with a lot of stuff to improve but I'd really like to share it and hear what people think about it and maybe also get some constructive feedback.


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I'm documenting everything about my process. From learning to code, to building the app, and all the way to my outreach efforts. I'm learning as I go and sharing it with everyone who's not a programer, and is daunted to build a software on their own. Trust me. If I can do it, anyone can! You can find my updates on: https://Claritask.com ...as well as video updates on https://www.youtube.com/channel/UCdmqmifW4kIcPclXigay1dQ Would love to hear your feedback on my progress and if you have any suggestions on what I can do better. There's so many task managers out…
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
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Launched alongside, August 2026
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Life & fun · 10d ago · louisabraham.github.io


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Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io


I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com