Built an AI nutrition tracker after getting frustrated with CalAI pricing and accuracy
I kept bouncing off the current AI calorie trackers for the same reasons: too many misses on common foods, pricing that gets expensive fast, and not enough control once you want to go beyond basic logging.
So I built MetricSync.
It is an AI nutrition tracker with a 3 day free trial. Compared with CalAI, it is cheaper, has more features, and has been more accurate in my own testing and early user feedback.
The hard part now is distribution, not building.
If you have marketed a nutrition or health app, where did you find the first users who actually paid instead of just browsing?
Happy to share the landing page if helpful: www.metricsync.download
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Landing page looks appealing, what kind of traction are you seeing.
site looks good, i personally feel like it couls use a bit more personality just feeels generic as of right now
MetricSync sounds like a great way to fix the accuracy and price issues that drive people crazy with other trackers. Finding paying users is the real challenge, but niche communities where people already complain about CalAI are usually a goldmine. Proving that your app nails those common food "misses" during the trial will be your best way to convert browsers. What’s the one specific food item MetricSync gets right while others fail?
this is a super common trap, it feels like a distribution problem but often its actually about the first value moment not being strong enough yet.
I’m curious, when do users actually feel this is more accurate / better than what I used before? Like a very specific moment, not just overall impression.
I think people try once but only stick if they clearly see this saved me effort / gave me better data in the first session. Sometimes small things like showing confidence, corrections, or comparisons early can make that click much faster. Id be great to take a quick look at the flow and point out where that moment might be getting lost