First Client Sprint
A $7 playbook for landing your first paying client
What it does
First Client Sprint is a practical, beginner-friendly playbook for turning one useful skill into a small paid offer. It includes a 7-day action plan, pricing guidance, outreach scripts, and a simple follow-up system. Start with the $5 First Outreach Scripts pack, or get the full $7 sprint. No income promises—just a clear next step. Launch code FIRSTYES gives 20% off at checkout.
A focused seven-day kit for turning one useful skill into a clear service, five thoughtful messages, and a first paid experiment.
First Client Sprint is a focused seven-day kit for turning one useful skill into a clear service, five thoughtful messages, and a first paid experiment. Turn one useful skill into a clear offer, a short outreach list, and a first paid yes. Start with five adaptable outreach scripts for $5. Each one is built around a specific result, a respectful ask, and a clear next step—so you can begin one real conversation today. Six clean pages that keep you moving from “I could offer this” to “Here is the result I can deliver.” Choose a small service with a visible before-and-after result. Turn delivery time and one revision into a clean fixed quote. Start five thoughtful conversations without…from first-client-sprint.blendabdullah.chatgpt.site
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Life & fun · 10d ago · louisabraham.github.io
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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