CompasslyHub
Navigate SEO with clarity
What it does
Most SEO tools give you massive audit reports full of errors, leaving you clueless about where to start. CompasslyHub is an MVP designed to bridge that gap. We turn static SEO audits into an actionable Kanban workspace, automatically re-crawling your live HTML to verify when fixes are actually deployed. Track your overall SEO health score, manage tasks smoothly, and navigate your growth with clarity.
Turn SEO audit findings into prioritized tasks, verify fixes on live pages, and track your website's SEO Health score over time.
Use CompasslyHub alongside your audit tools to turn findings into assigned tasks, track them to completion, and re-check live pages so progress is backed by evidence. Audit reports tell you what's wrong. CompasslyHub ensures the fix gets completed and verified. 💡 Caption: You don't need another report. You need proof the work got done. Input your website URL and project details into CompasslyHub. Our system sets up a dedicated workspace and prepares the crawl parameters. When you complete a task, CompasslyHub automatically re-crawls your live HTML to verify that the fix is actually deployed. You complete the canonical tag fix on your homepage and mark it done. Our Shallow Crawler fetches…from compasslyhub.com
Does the same job
all alternatives →More growth this month
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AstraPixels▲267A pixel-art solar system at its real current positions.
Growth · 29d ago · astrapixels.com

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