CreatorWatcher
Discover YouTube channels the algorithm buries
What it does
CreatorWatchr is a free directory of YouTube channels curated by category, not algorithm — helping smaller creators get discovered on merit, not scale. - 2,850+ channels across 31 categories - See each channel's 10 most recent videos - Save your favorite channels to organized Groups - Chrome extension to save individual videos while browsing YouTube - Daily email digest so you never miss a new upload - Free backlink exchange with your own site - Affordable banner ads on your channel page
Monitor creator and brand accounts across TikTok, Instagram, and YouTube. Track growth, engagement, and content performance in one centralized dashboard.
CreatorWatcher is a social listening and creator intelligence platform built for brands and agencies to automate tracking of any social media account, including old and new posts, understand trends and simplify reporting. CreatorWatcher is a social listening and creator intelligence platform built for brands and agencies to automate tracking of any social media account, including old and new posts, understand trends and simplify reporting. CreatorWatcher is a social listening and creator intelligence platform built for brands and agencies to automate tracking of any social media account, including old and new posts, understand trends and simplifyfrom creatorwatcher.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