TrainerDesk
Run your personal training business in one place
What it does
TrainerDesk is a simple workspace for personal trainers to manage clients, sessions, workouts, and progress in one place. Instead of juggling calendars, spreadsheets, WhatsApp, and notes, trainers can manage their coaching business from one app. Create workout programs, schedule sessions, track progress, and get automatic reminders before sessions. Built for independent trainers and small coaching businesses who want to spend less time on admin and more time coaching.
TrainerDesk helps personal trainers manage clients, build workout programs, track progress, and grow their coaching business — all in one app. Free to start.
Manage every client, session, and workout in one place — so you can spend less time on admin and more time actually coaching. Calendars, spreadsheets, WhatsApp threads, notes apps — most trainers juggle all of them just to do their job. It's exhausting — and it's costing you clients. Sessions scattered across calendars, notes, and your memory. Texting every client before every session, every single week. TrainerDesk replaces every scattered tool with one app built for personal trainers. All your clients, their history, notes, and progress — organized and searchable in one place. Plan sessions, set recurring workouts, and keep your whole calendar in one view. Create, assign, and reuse…from lp.trainerdesk.tech
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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