Creonnect
The fastest way for brands to close creator campaigns.
What it does
Creonnect helps brands close creator campaigns faster by bringing creator discovery, outreach, campaign coordination, and performance tracking into one workspace. We replace fragmented tools and manual back-and-forth with a single workflow that helps brand teams move from shortlist to signed collaboration much faster.
A connected workspace for creator post intelligence, Instagram Auto DM, creator discovery, campaign planning, approvals, and agreement drafts.
Creo Intelligence explains your metrics. Auto DM captures leads. Creator Portfolio presents verified work to brands. Start with a prompt. Creo generates the campaign setup, ranks creators with written fit reasons, prepares outreach, and drafts agreement terms while your team stays in control. Supported by startup programmes. Connected Instagram accounts use Meta’s official Graph API. The path most creators run manually across four apps, connected in one workspace instead. Eligible accounts connect through Meta's official OAuth screen with no password shared, revocable from either side. Every synced post gets a written read on what drove the result, right beside the numbers. Trigger-based DM…from creonnect.com
Does the same job
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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