311–320 of 1001 posts
It’s starting to sound pretty good. I’ve had quite a lot of help from the community with lots of useful feedback and suggestions. It’s been fun.
A place to find great blog articles by regular folks related to dev/tech world.
Wondering about the best way I can add a weekly newsletter built on top of the content currently being ingested and still looking for more sources to add to the database (let me know if you have any good recommendations).
If it works out, maybe this could be a way for me to replace the compromised Apple Music app with something that actually syncs to my music on my desktop.
A tool for creating custom Tailwind-style color palettes for web and UI design that pass WCAG contrast requirements: https://www.inclusivecolors.com/ The interface is optimized to let you quickly explore and tweak multiple tints/shades at once so you can customize all colors exactly how you want e.g. try dragging vertically through the saturation curve in one motion to edit all the tints/shades at once, or shift whol…
It's been going well for a side project and now I'm thinking of expanding to have a directory of urbanists on a map so you can easily find people involved in the local discourse and how to get involved.
Perfect usage metrics. Store staff spends 35hr per week using my software in a ~7 employee per shift setting. No churn.
Bootstrapped past $100k ARR on my own, just onboarded a co-founder.
https://kauwenofspauwen.be/en Belgian food hygiene rating from official gov reports
website: https://murajah.pages.dev/
Play Store: https://play.google.com/store/apps/details?id=com.murajah.we...
Manual audio splitting tool for the above project: audio-splitter-6b3.pages.dev/
I've always been skeptical of AI-generated code. This is my first experiment with AI agents, where the full code base, implementation, debugging, and deployment are done using AI Agents MCPs.
Used VS Code all the way, i.e., all the source codes, including the code to generate the Google Play Store APK. I only reviewed the source code before committing and helped debug by suggesting ideas/algorithms.
Mostly used Claude Haiku 4.5 like 75% of the time, where it failed, switched to the sonnet 4.5 or GPT 5 codex. Interestingly, when debugging, sometimes one model struggled even after numerous iterations/feedback loops, but then the problem was solved instantly as soon as I switched to another model.
The source codes are available here:
https://github.com/wasi0013/Murajah
https://github.com/wasi0013/audio-splitter
Initially, I thought the audio splitting could be done automatically using some AI models from Hugging Face or Whisper. But the audio files have some complex repetitions; the output was miserable.
So, for now, this splitting is done manually using a Web UI (The audio splitting tool splits the large audio files into multiple small audio files, think of it like a long paragraph is split into multiple sentences.)
I will attempt again to automate this splitting task using AI, after drafting a game plan for tackling the challenges. I'm thinking of using energy drops and other similar factors to create segments.
Hope to document 100 ideas. Wish me luck.