Calm GTM
A GTM partner for vertical SaaS founders
What it does
Calm GTM is a GTM partner for vertical SaaS founders. It turns what you know about your product and customers into a focused strategy, a concrete plan, and the assets to execute it. Then it refines the plan as you learn.
A calmer way to do GTM, through practical skills for real work.
I build these skills for my own work, then share the ones worth reusing. Turn what you know about your product and customers into a clear GTM strategy, action plan, approved assets, and a weekly review. Find and verify demand in public conversations before deciding what to do next. Turn qualified public signals into responsible outreach under founder control. Find opportunities worth validating without presenting an idea as market evidence. Turn each product feature into a clear, academy-ready tutorial. Turn a recurring customer problem into something genuinelyfrom calmgtm.com
Does the same job
all alternatives →
More dev tools this month
the category →
Open-source GTM skills for technical founders
Dev tools · 29d ago · gtmcofounder.com
OpenTrailPaper is open-source bike computer firmware for the LilyGO T5S3 4.7" E-Paper PRO. It supports offline maps, GPX routes, FIT recording and Bluetooth sensors.
Dev tools · 1d ago · opentrailpaper.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