****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
Most cloud sustainability tools are built for sustainability officers. They pull three-month-old billing data, run it through a proprietary model, and produce a PDF that engineers never see. By the time you know your us-east-1 cluster emits twice as much as us-west-2 would have, it's been running for a quarter. The architecture is locked in. The carbon is already burnt. The only moment you can act
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
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
We run thecalcs.com—a big library of small, single-purpose calculators. Adding “one more page” is easy; building something trustworthy is the hard part. This is how we approached one tool end to end: stack, where we draw the line on accuracy, and how we nudge search engines when we ship. The site is Next.js (App Router), with calculator logic in plain TypeScript modules and UI in React components.
What if your code editor could do keyword research, audit your SEO, and optimize your content for AI search engines — without leaving VS Code? I built a set of open-source agent skills that turn GitHub Copilot into a hands-on marketing strategist. Here's what I learned, how they work, and how you can use (or build) your own. The problem Open Ahrefs/Semrush → research keywords What if I could encod