I had to listen to the books twice because there are a lot of details that you won't get the first time through unless you're extremely intentional and detail oriented, but I found it was worth it to listen again. I'll probably listen to Infinite Jest again sometime soon, even though it's 64 hours long. IJ is actually really great sci-fi with some important questions for our time.

My marketing is for a different niche - people who lift weights, see that they have variability set to set and day to day, and want a program that will help them quantify that variability and understand what it means. One thing that works really well in my program is detecting when you need a rest or deload, because the baseline comparison is rigorous and sensitive - if you have one bogey set, it might not mean much, but when you see that even your opening sets are at or below baseline after a stretch of workouts, that's a pretty good signal, and that's hard to get with most apps.

I had coefficients mapping each exercise to its tissue impact but it was kind of arbitrary and unscientific - even between athletes you will have different techniques on the same movement that will impact tissues differently. I do think that workout design is a super important area and I hope you crack it, it was too hard for me to do a good job on.

The tutorial can't be escaped because it requires a liability waiver checkbox at the end.

Actually, I can share the link if anyone is interested (because this is the "what have you been working on" thread and this has been one of my more fun projects): https://www.thegamecrafter.com/games/mathematical-minds-thre...

Same thought on marketing - where to advertise where people would appreciate this kind of thing?

it's a weight-training app that helps you train along your "pareto frontier" of weight vs reps. The idea is to train at lower weight-higher rep, medium weight medium reps, and higher weight, lower reps for every movement. I tried to develop my own weight training program following bits and pieces of advice from bodybuilding forums and ended up injuring several tendons in my first year. So I did a bunch of research on tendon strengthening as well as what's most effective for hypertrophy (reps near failure) strength (reps near maximal load) and injury-prevention/frequency (not bringing yourself to failure too often) and designed an app to automatically prescribe and advance weights and reps based on your learned strength curve (Brzycki-like, with an added shape parameter)

The app is designed to make use of the free Cloudflare tier, so I can support thousands of athletes for just the cost of the domain name. I'm primarily interested in understanding the "Fatigue curve" - right now I have some basic per-set fatigue modeling (basically a log-linear strength dropoff) but I think it could be much better characterized with more data. I could go on and on about the modeling but my intention is to keep it free (maybe add some non-intrusive ads on content pages if it ever starts costing me a few pennies a month) but my primary interest is to be able to do statistical analysis on the data.