All activity
Nikhil Kumarstarted a discussion
Weekend build: Chini.fit – Find Hidden Sugar in Meals. Is this actually useful or just a toy?
Hey PH 👋 I just launched Chini.fit – Find Hidden Sugar in Meals and realised there’s a product forum here, so I’d love to use this to get some real feedback, not just upvotes. Quick story: I had a scary blood sugar phase a while back. Every solution I tried wanted me to track every bite, gram and calorie. I’d last 3 days and quit. So during a weekend hackathon I built something lighter: Instead...
Nikhil Kumarleft a comment
Big fan of what you’re building with Emma 🙌 Hidden sugar is such an invisible killer, and you’ve made it feel simple + approachable. As someone who’s had to get very real about sugar in my own life, I genuinely appreciate products like this. Wishing you a monster run ahead 🚀
EmmaAI Nutrition intelligence that understands food globally
Nikhil Kumarleft a comment
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...
Chini.Fit - Find Hidden Sugar in MealsYour Personalized AI Meal Analyzer for Sugar & Health 🥘
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.
Chini.Fit - Find Hidden Sugar in MealsYour Personalized AI Meal Analyzer for Sugar & Health 🥘
Nikhil Kumarleft a comment
Congrats @akhil_bhiwal on the launch. This looks really great.
PhylloThe universal API for creator data