Black & Gold SEO
The AI SEO tool that does the work.
What it does
Black & Gold SEO is an execution-first SEO OS for agencies and SaaS. One click audits your site, drafts evidence-grounded fixes, publishes content, runs outreach from your mailbox, and tracks Google plus AI search. 20 one-click processes; ~3 min full site pass; approve snippet fixes (schema, meta, alt, links); free instant check; from $49.99/mo.
The AI SEO tool that runs your whole strategy in one click: audits, on-page fixes, auto-published content, backlink outreach, rank tracking, and visibility in Google AI Overviews & ChatGPT.
One click audits your site, fixes what's costing you rankings, publishes content, and tracks Google and AI search. Free instant check. No signup. Full platform from $49.99/mo. Nineteen branded processes, one full sweep. Black & Gold crawls, diagnoses, drafts, applies, verifies, tracks, and reports so SEO stops being a pile of tabs and starts acting like software. Crawls the site, diagnoses technical SEO, indexability, content, trust, and source-code blockers. Scores each page against the target query and gives concrete copy, structure, and metadata fixes. Builds keyword targets from crawl content, GSC signals, competitor context, and real search intent. Finds relevant sites, labels…from blackandgoldseo.com
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Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io


- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io


I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com