Nikhil Kumar

Chini.Fit - Find Hidden Sugar in Meals - Your Personalized AI Meal Analyzer for Sugar & Health 🥘

by
Chini.fit is a personalized AI meal analyzer focused on sugar and metabolic health, not just calories. Unlike tracking apps, you simply share a meal photo or description and get instant, easy-to-understand feedback, pattern insights, small swap suggestions, and pre and post meal strategies. This launch is an early hackathon-built MVP to test a low-friction, coaching-like experience without manual logging.

Add a comment

Replies

Best
Nikhil Kumar
Maker
📌

Most food apps are built like they assume you have a dietitian, a chef and unlimited willpower. I’ve had… none of those 😅

Hey Product Hunters
👋 I’m Nikhil, maker of Chini.fit – a personalized AI meal analyzer for sugar & health that I hacked together during a weekend build.

A bit of my story:

I’m diabetic. I’ve seen my HbA1c swing from 10.5% down to 5.4%, and I know how much food plays into that.

Every time I tried to “be serious” about it, I ended up with apps that want me to log every gram, every day. I’d do it for 3 days, then burn out.

I’m not VC-backed, not a big health company – I’m a solo-ish builder who spends his days in growth/marketing and nights trying to build something genuinely useful for people like me.

So over a couple of very long days (and nights) at a hackathon, I asked:

What if, instead of tracking everything, I could just share what I’m eating and get some personalised, low-friction feedback?

That’s the idea behind Chini.fit.

What Chini.fit does today (MVP)
✅ You share a meal photo or a short description
✅ It gives rough-but-useful feedback on how “heavy” that meal is for sugar & metabolic health
✅ It suggests small, realistic swaps (not “perfect diets”)
✅ If you login, it gives you more strategies you can do almost immediately to have least affect.

Over time, it helps you notice patterns across your meals

👉 You can try it here: Chini.fit

What it’s NOT (yet)
Not a medical device
Not a replacement for your doctor, CGM or lab tests
Not perfectly accurate on sugar spikes – this is a hackathon MVP

I’m launching here because I’d rather get real feedback early than polish it in a corner for 6 months and still be wrong.

If you:

live with diabetes / prediabetes
have a family history and want to be more mindful
or just hate traditional tracking apps but care about your health

…I’d love your help:
What would make this genuinely useful in your daily routine?
What’s the most annoying thing about current food/diabetes apps we should avoid?
If I only build one big improvement next, what should it be?

I’ll be here all day replying to every comment and collecting reality checks.
Thanks for checking out Chini.fit and for supporting indie builders 🙏

Alexander Grossman

Nice work, man. If Emma or Sugar Free inspired this, I’m glad – it’s always great to see more people tackling hidden-sugar issues.

Your perspective as a diabetic is valuable. Good luck with your launch. 🙌

Nikhil Kumar

@xanderiang Thanks a lot, really means a lot coming from you 🙌
Emma / Sugar Free definitely inspired me – seeing what you built around hidden sugar made me feel there’s room for more experiments in this space.

Would love to stay in touch and swap notes sometime. Wishing you continued growth with Emma 🚀

Chilarai M

Congrats on the launch!

Nikhil Kumar

@chilarai Thank you so much. Would love to stay connected

Chilarai M

@nikhonit Sure. Send me a Linkedin connect

ethan

This is a wonderful idea. Our elderly family members struggle with tracking daily sugar intake, and this app should help ease their record-keeping anxiety.

Nikhil Kumar

@ethan_2025 Exactly! But the sad part is I got a lot of Backlashes on Reddit. Hence I changed the positioning. Try Chini.Fit and let me know if it still serves the purpose for diabetics?