Growth Curated
Library of X and LinkedIn worth stealing
What it does
A library of the best-performing LinkedIn and X posts in organic growth marketing, added every week. Each one comes with a prompt to write your own version.
Every post comes with a prompt you can use to write your version. The best of organic growth marketing, added every week. Co-founder of Workflows.io. Publishes GTM and growth playbooks built with AI. The 6 Levels of a GTM Strategy Level 1: Traffic Generation The goal is to drive as many people as possible to your brand. Four buckets: content, ads, outbound, partnerships… Reinvention is arguably harder than building from scratch. Today I can finally talk about the massive pivot and rebuild we've been up to at Electric for 2+ years, and take the cover off our AI IT platform and our mass distribution channels… ADP IT Management is here, and it's 100% powered by Electric. As feature…from growthcurated.com
Does the same job
all alternatives →
LinkedIn Organic by Demand Curve2020 · ▲204How to acquire customers through organic LinkedIn content.

Actionable Growth Hacking Tactics for Startup Marketing2017 · ▲207A curated list of proven growth hacks without a budget



More growth this month
the category →
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