****I spent weeks optimizing: performance Lighthouse scores bundle size lazy loading SEO structure …while completely ignoring the thing users actually saw first: The link preview. Not the website itself. The preview card inside: Telegram Discord LinkedIn X Slack Facebook Reddit And after building more browser-based developer tools, I realized something important: A broken or low-quality Open Graph
Run the same brand-query through ChatGPT, Gemini, Perplexity, Claude, and Grok. Read the citations. The cited URLs will not be the same, the brands featured will not be the same, and in roughly a third of cases one tool will cite your brand confidently while another does not mention it at all. The temptation is to reach for an algorithmic explanation different rerankers, different summarisation st
This is the follow-up to What I Actually Learned Building a Side Project in 5 Days With AI. That post was about AI. This one is about what happens after you ship — when you actually have to run the thing. I lost a freelance client last year because I forgot to send a monthly report. Not because I didn't do the work. I did the work. I just never wrote it down in a place I'd actually look. The repor
I shipped gni-compression to npm two days ago. One of the first questions I got (from myself, running benchmarks at midnight): does it work on anything other than chat data? Short answer: not yet. Long answer: I found out exactly why, and it led me somewhere more interesting than I expected. After the npm launch I ran GN against Silesia — the standard general text compression benchmark suite. Dick
Introduction Picture two doctors updating the same patient record at the same time - one in São Paulo, the other in London. Both are offline. When connectivity returns, whose changes prevail? This is not a hypothetical. It is the everyday reality of distributed systems: multiple nodes, no shared clock, no guaranteed network. The conventional answer has long been locking - one node waits while an
I keep seeing the same argument about AI making us dumber. It's the same argument people had about search engines, and before that books. The usual response is to point at history and say "every generation panics, every generation was wrong, relax." I think that response is half right, and the wrong half is what bothers me. Tools change what we bother to remember. The people who'd trained their wh
A few days ago, I read a fascinating post here by @404Saint about Arkoi, a tool designed to detect SEO poisoning. It struck a chord with me. If attackers can manipulate search engine results to push malware, what’s stopping them from manipulating the Latent Space of LLMs to misrepresent critical Web3 protocols? As the founder of HUTMINI, I’ve been obsessed with a new problem: AI-Era Visibility. We
TL;DR: I shipped image → PDF conversion but spent most of the week on SEO content instead of the planned batch UI and landing page. The numbers say that was the right call. Organic search became the #1 traffic source for the first time. Convertify is a free image converter I'm building solo: Rust + Axum + libvips on the backend, Next.js 16.2 SSG on the frontend, PostgreSQL for landing page content