LifeLogr

Free self-care and habit tracker: food, water, weight, worko

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August 28, 2026 I built a free self-care app because MyFitnessPal made me feel like garbage

I've been building LifeLogr for about 5 months now, solo, and I want to be upfront about something before anyone digs and finds out anyway: I don't write the code. Claude, an AI, writes basically all of it. I'm not a programmer, I do IT support type stuff, but coding just isn't something I can do. What I actually do is direct every decision, every feature, every screen, and review everything myself before it ships. Nothing goes out that I didn't personally choose and check.

I built it because I was tired of MyFitnessPal's paywalls and how bloated it got. I wanted something that tracked food, water, weight, workouts, and let me journal, all in one place, free, no ads, no premium tier, ever. There's a companion plant, Bloom, that grows as you log stuff, which was supposed to keep the app minimal and ended up being my favorite feature and also the thing that ruined my own minimalism goal, lol.

Real numbers since I know that's what actually matters here: 29 total users right now, most from a handful of Reddit posts. Retention past day 7 is rough, around 11%, so I've got real work to do there, not just chasing more installs. If anyone's built something similar and actually figured out what keeps people coming back after week one, I'd genuinely love to hear it.

lifelogr.net if you want to poke around. Free forever, guest mode, no signup required to try it.

3 Comments

  1. 1

    The 11% day-7 retention is more interesting than the 29-user total.

    Curious whether the users who do come back are consistently using one feature more than the others.

    1. 1
      That's honestly the more interesting number to me too, lol. Right now my dashboard breaks down feature usage by how many users have opened each screen at least once: Food 11, Workout 10, Water/Weight/Analytics 6 each, Journal 5, Insights/Social 3 each, out of 15 total real opens. Food and Workout are clearly ahead, but I can't actually say yet if that holds specifically for the users who come back after day 7, my analytics aren't split that way right now, it's just total opens across everyone. That's a genuinely better question than I was asking myself. I think I need to build the actual breakdown, returning vs one-and-done, by feature, instead of guessing from the aggregate. Appreciate you pushing on the real question instead of the vanity metric.
      1. 2
        That’s the right breakdown to build. Aggregate feature usage can easily hide what’s actually driving retention.

About

I wanted a health and self-care app that felt like it was on my side, not another calorie counter behind a paywall. Free, no ads, no premium tier, and it grows with you as you log.