The biggest trap for indie developers isn't failing to build — it's building the wrong thing. I used Claude Code to create a research system that let me deep-dive into 8 product directions in a single week.
When highly paid CTOs voluntarily step down to become individual contributors, it's not because they've lost their minds — it's because they see something the rest of us haven't yet.
A locally-run voice-to-text tool with AI polishing. One-time purchase, no subscriptions, your data never leaves your device.
From the '$100/month' goal to actually building a product. VoiceDoz is launching this week, and the Build in Public journey begins.
Exchange rate advantage, less competition, a bigger market, and AI flattening the language barrier — for ordinary people in China, making money overseas with AI tools might be the highest-ROI move right now.
Saw a guy on Reddit who built a simple time tracker now earning $20-30/day in passive income. No ads, no big idea, just shipped. It made me rethink something: in the AI era, the far end of the long tail has become mineable for the first time.
The game in the video is mine — a mobile version of Dice Wars, from zero to playable in about three days. This is the thing I keep talking about: use AI to produce a lot of stuff in a domain you actually understand, and trade output volume for probability.
Peter Steinberger had 449,693 contributions in the past year, peaking above 13,000 in a single day. I do 30–50 PRs a day. In the AI era, the winner isn't the smartest — it's whoever ships the most. Indie dev was always a math problem.
I'm launching pixeldoz.com — a photo-to-pixel-art tool for perler bead and cross-stitch enthusiasts. But the real experiment is whether AI can handle the marketing and operations. Here's day one.
Y Combinator CEO Garry Tan's open-source gstack has racked up 44k+ stars and is hailed as an AI coding game-changer. But crack open the source code and the truth is surprisingly simple. This series breaks down every skill so you can see what's really going on.
OpenAI's CEO tweeted his gratitude to programmers. The replies exploded. With developer layoffs becoming a trend, what should we actually do after the complaining?
I posted an article on social media and got comments like 'just another worthless AI-generated article.' But when did we start judging articles by who wrote them instead of how good they are?
Vue creator Evan You had Claude Code modify Vue at the framework level and found the implementation hard to follow. When AI-written code stumps even framework authors, how should developers adapt?
