Fitness advice should come from evidence, not influencers.

I built Evid because I got tired of being told what to do without being told why. I spent years following workout programs from fitness influencers, tracking macros in one app, logging workouts in another, and checking my recovery on a third. My progress would stall and I had no idea which part was failing — because none of these tools talked to each other.

So I started reading the research myself. What I found was a disconnect. The science on training, nutrition, and recovery is surprisingly clear on most questions — how much protein you need in a deficit, how to structure volume across a mesocycle, when to deload, how a bad night's sleep should change your session. But the apps treated each system in isolation. Your nutrition app didn't know you trained legs yesterday. Your workout tracker didn't know you slept 5 hours. Your recovery wearable gave you a score but didn't change anything.

That's the problem Evid solves. Training, nutrition, recovery, and coaching in one system — where your recovery data adjusts today's session, your training data informs your nutrition targets, and every decision adapts from your actual results. Not four separate tools. One integrated system where everything talks to everything.

And every recommendation shows you the study behind it. I've read and synthesised over 190 peer-reviewed studies to build Evid's decision engine. Every formula, every threshold, every adaptation rule traces back to published research. Not because transparency is a nice marketing angle — but because understanding why a program works is the difference between following a plan and trusting one.