Launching today
Feezza is the app. Fiza is your AI companion inside it. Most apps tell you what you ate. Fiza tells you why it matters. Hidden calorie detection from cooking methods. Medication interaction warnings using NIH live database. 26 chronic conditions with ADA and AHA clinical targets. Doctor-ready health reports. Condition flare prediction. Emergency alerts. Pattern recognition across weeks not just today. 5M+ foods. The only AI companion that connects what you eat to how you feel.
Hey Product Hunt, Fiza here, co-founder of Feezza.
I spent three weeks logging every meal perfectly, hit every target, drank the water, got the steps and still woke up exhausted with no idea why. My health app said my macros were perfect. That question then what is the point of all this changed everything.
Sukhraaj and I built Fiza because she didn't exist. He had never written a line of code. I had never built a product. What followed was the hardest year of our lives.
Fiza is not a feature list. She is a daily health relationship. She learns what you eat, tracks your conditions, detects hidden calories from how food was cooked, checks your medications, and quietly connects patterns in your body you have never seen before.
Today she is live on the App Store. We would love your support, your feedback, and your honest questions. Ask us anything.
@fiza_sharma This is honestly amazing. Connecting food and Health conditions together is absolute genius.
Congrats on the Launch!
@sanjot_singh1 Thank you so much. This genuinely means a lot. That connection between food and health conditions is exactly why we built Feezza. Most apps treat food and health as a separate things. We built Fiza to show you how deeply they are connected and what you eat affects your conditions, your conditions affect what you should eat, and understanding that relationship changes everything.
Appreciate you support today.
The part that feels useful is looking for patterns over weeks, not just logging today’s meals. A health app that helps explain why you feel a certain way is much more valuable than another tracker full of numbers.
@farrukh_butt1 This is exactly it. Most apps show you a dashboard full of number and leave you to figure out what they mean. Feezza does the opposite. You companion watches your patterns across weeks and quietly surfaces the connection you would never notice yourself.
That Tuesday lunch that leaves you exhausted every Wednesday. The meal that triggers symptoms three days later.
The data has always been there. Nobody was reading it for you. That is exactly what Feezza does.
Congrats on the launch!!!
Is this going more towards the "social impact" side or the "saas product" side? Im really interested in its direction
@peterz_shu Thank you so much! Honestly speaking it is both.
The SaaS foundation is solid with two tier pricing, good margins, and economics that actually work at scale.
But the mission underneath it is genuinely about impact. We built Fiza for the billion people managing chronic health conditions who have never had a clinical AI built for their language, their food, and their body. 77 million diabetics in India alone. PCOS patients who have been given generic advice that ignores their hormonal cycle. Families where every member has different conditions and nobody has ever built a tool for all of them simultaneously.
We believe the best social impact companies are the ones with the strongest business models. Sustainable impact requires sustainable revenue. Fiza is built to be both.
What drew you to the question - Impact or SaaS side?
Mailwarm
How does it estimate things like oil used or portion size without guessing too much?
@thamibenjelloun Great question. This is actually one of the hardest problems we solved.
For portion size: The AI identifies what the food is and makes an initial size estimate from the photo. Then a second layer of fixed rules corrects it. We maintain a table of real world weights for common foods. A chicken breast is anchored to 175g and 290 calories, a slice of pizza to 110g and 290 calories. If the Ai guesses too low the system snap it back to the known value. And every result gets a density sanity check. A cup of rice cannot come back at 800 calories.
For Hidden Fat: The AI is trained to look for specific visual signals withe explicit numbers. An oily sheen adds roughly 120 calories per tablespoon estimated from sheen intensity. Crispy golden edges signal deep frying. A macro consistency check catches anything that does not add up. If the stated calories diverge too far from the protein, carbs and fat the AI itself reported, it resets to the mathematically correct number.
And we will be honest with you. Ai is not always perfect. That is why after every scan you can review exactly what it detected and edit it directly. And if anything still looks off you can ask Fiza (You AI Health Companion). She will cross check it and help you correct it. Especially important for anyone managing a health condition where accuracy actually matters.
In short the AI handles recognition. Fixed rules handle the math. You and Fiza handle everything else.
This is a great product and initiative to meet everybody's goals inclusive of their health conditions. I have been tired of meeting unreal numbers and following a strict unnecessary program that affected my mental health in the long run. Can't wait to better use my diet and mobility to aim for a good health as goal rather than just a weight loss or loosing nutrients.