Content Drifter
One Powerful Workspace for Smarter Social Media Management.
What it does
One AI-powered social media workspace built to simplify your entire content workflow. Create on-brand posts, discover the best times to publish with Gold Slots, schedule and auto-publish across platforms, and use closed-loop learning to continuously improve your content performance. Bring creation, scheduling, publishing, analytics, and optimization together in one place—so you can spend less time managing content and more time growing your brand.
One AI social media workspace: on-brand posts, Gold Slots, auto-publishing and closed-loop learning. Free forever, $19/mo to upgrade.
Every tool in one place : on-brand captions, AI images and carousels , a content calendar with Gold Slot timing, an approval workflow , marketing campaigns and one-click repurposing . The AI does the heavy lifting , so hours of work take minutes, and a closed loop learns from what you publish. Instagram, TikTok, X (Twitter), Facebook, LinkedIn, Threads, YouTube, Pinterest and Bluesky, on every plan. Every graphic below is real output from Content Drifter, a different brand and niche in each one. You get the same: on-brand posts in a single click, auto-scheduled for each platform's golden hour, and published while you sleep. Create, schedule, publish, and learn. 5 of these replace a paid…from contentdrifter.com
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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 · 16d ago · simedw.com