WebScore.now
Audit any website. Right from your AI.
WebScore.now launched on July 8, 2026 with 8 votes, #2,235 of 24,623 launches that month and more than 90% of that year's launches.
What it does
Website & SEO audit tool — scan any site for performance, security & accessibility issues, with step-by-step fixes. Plus an MCP server to run audits from your AI: Claude, Codex, Cursor or Grok.
WebScore is a free website scanner & checker — scan any site for SEO, performance, security and accessibility issues in 60 seconds, with step-by-step fixes.
Scan Performance, SEO, Accessibility and Security in seconds — and get a step-by-step fix for everything found. By scanning, you confirm you own this website or have permission to analyze it. Every issue ships with a step-by-step fix, and every fix pays out in one of four ways. Smaller images, unblocked rendering, earlier first paint. The click-to-content gap shrinks — bounce goes down, rankings go up. The AI audit reads your pages like a CRO expert: clearer CTAs, stronger trust signals — often the exact copy to ship. SSL, security headers and email authentication done right — no scary warnings, no one spoofing your domain. Issues arrive ordered by impact, each with the change to make.…from webscore.now
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Source: Product Hunt launch ↗
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I might be the only SRE on Earth with his own bowling center. It's a more in-depth gig than you'd think. My family and I bought an abandoned 8-lane bowling center in the rural mid-west. In our small town there weren't many recreation options for families. You've heard of a food desert? This is an R&R desert. It had been abandoned for a good reason. The roof leaks, the electrical system was constantly surging, and my 70-year-old bowling equipment (still) doesn't work perfectly. The system that keeps your score is particularly interesting to me. It's the thing you watch during your game, but…
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Dev tools · Jul 2026 · bento.page

A few days ago I found myself trying out GLM 5.2 and was really positively impressed. The capabilities and security I was getting from this LLM are similar to those I've gotten from models like Claude or GPT, and this really surprised me. But then I thought, "I wonder how it would work on a normal computer like mine," and above all, "I wonder if it would work without going into OOM on a computer like mine." So I started working with the help of agents to test this possibility. I started converting the model to int4, understanding MTP usage, and if possible implementing DSA for long context.…
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