Sequence Social
Your whole social content workflow in one place
What it does
Sequence is a shared social content workspace for agencies, content teams, and clients. Plan content, review media, collect approvals, publish, manage comments and DMs, compare organic and paid performance, and create with AI without stitching together a different tool for every step. Free includes one brand and the complete workflow; Pro scales by brand, not by seat.
Sequence helps agencies and clients plan, review, approve, publish, and understand social content from one shared workspace.
Research, plan content, write, review, approve, publish and track performance without stitching together a different tool for every step. Planning, approvals and publishing read from the same record. Nothing gets exported, re-uploaded or pasted between tools on the way out. Clients, editors and teammates work on the post itself, right beside the plan. Approvals are visible at a glance, and nothing goes out on a guess. Save the posts worth learning from, read the breakdown of hook, format and transcript, then turn the good ones into drafts without leaving the page. Nobody has to ask what is going out on Thursday. Owner, status, format and date sit on every post, in one table both sides read.…from sequencesocial.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 · 9d 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