CalPulse
Snap the Menu. Get Instant Calories & Macros
610 followers
Snap the Menu. Get Instant Calories & Macros
610 followers
Snap any menu and instantly get calories, macros & healthier swaps. Make informed choices while deciding, not regretting. Perfect for dining out, travel, and food delivery.
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Launch Team / Built With
Congrats on launching! It’s perfect for dining out, but does it work with digital menus (like QR codes at restaurants) too, or just printed ones?
CalPulse
@thea5 Excellent question! The AI analyzes any image, so digital menus are no problem. You can either take a screenshot or point your camera directly at the screen displaying the QR code menu. The model processes the pixels the same way.
CalPulse
@thea5 it works for all kinds of menus, just take the photo, and everything is done for you!
Product Hunt Wrapped 2025
Love this proactive take on nutrition. Snapping a menu to see calories, macros, and smarter swaps before ordering is exactly what I need for travel and delivery. Do you support custom goals or allergies? Keen to try it on my next trip. Congrats Nyun and team!
CalPulse
@alexcloudstar Yes, absolutely! Personalization is at the heart of what we do. You can fully set custom daily goals (like specific macro targets) and mark your allergies and dietary restrictions. The app will then tailor all its recommendations and highlight swaps that are perfect for you.
relayd
Can you share a little bit of the technology / algorithm behind it? Would be interested to learn more about that!
CalPulse
@jannik_jung We've developed a proprietary AI stack that handles everything from menu image processing to dish identification and nutrition estimation. It's trained on millions of data points across global cuisines. While we're proud of our current accuracy, the system keeps learning with every scan.
Presentation 2.0 by CubeOne
CalPulse
@ericquans It makes our day knowing we've built something that truly fits into people's lives. We're curious – was there a specific situation (like traveling or ordering delivery) where you immediately thought "Yes, this is it!"? Hearing about that moment would be amazing!
CalPulse
@ericquans We’re so glad to hear that! The purpose of CalPulse is to empower individuals to make healthier choices while dining out. We're excited to support your wellness journey :D
首先，我想说的是，恭喜发布，然后，嗯，有一个问题：如何根据菜单计算这份餐品的实际卡路里。我当然知道总的卡路里等于每种配菜的单位卡路里乘以配菜的量，再把各种配菜的卡路里总量加起来就是这道餐的总卡路里量，但是，怎么通过菜单判断这道菜里面配菜的量是多少？比如，一个汉堡的菜单图片，怎么在汉堡交到你手上之前计算这个汉堡实际有多大？怎么根据番茄炒蛋的图片，计算番茄炒蛋这道菜用了多少鸡蛋，多少番茄，以及多少植物油？个人感觉这个误差会非常的大
CalPulse
@peter_wang20 Great question. You're right, exact measurement from a menu is impossible. Our AI estimates portions by comparing dishes to thousands of labeled food images in our database. We focus on providing accurate comparisons (e.g. "this burger has 25% more calories than that salad") rather than absolute precision. This gives you the actionable insight needed to make smarter choices.
CalPulse
@peter_wang20 thanks! this is a good question and here is something I'd like to share:
there’s no such thing as a “standard meal.”, we fine-tuned several vision-language models on food recognition datasets, combining them with multiple regional food databases. Each model has its own strength, which means a dynamic routing system will compare outputs in real time.
To ensure precision, we applied a reinforcement-learning technology to adjust model weights. Over time, the AI learns that “one plate of nasi goreng” in Jakarta doesn’t equal the same calories as in Singapore.
CalPulse
As part of the CalPulse dev team, I’m really proud of how this idea turned into something real.
Our mission was simple — make healthy eating effortless anywhere in the world — but turning a single menu photo into accurate calorie and budget recommendations was a long, messy journey.
Early on, we learned there’s no such thing as a “standard meal.” Menus rarely mention portions or nutrition facts, so we couldn’t rely on a single AI model. Instead, we fine-tuned several vision-language models on food recognition datasets, combining them with multiple regional food databases. Each model has its own strength — one better at ingredient detection, another at portion reasoning — so we built a dynamic routing system that compares outputs in real time.
To ensure precision, the final prediction isn’t just averaged — it’s reinforced. We applied a reinforcement-learning loop where real-world user feedback and known nutrition data continuously adjust model weights. Over time, the AI learns that “one plate of nasi goreng” in Jakarta doesn’t equal the same calories as in Singapore.
There were countless nights of debugging when even rice bowls confused the models 😅, but that process taught us where machine perception meets human behavior.
Now, seeing people snap a menu and instantly get accurate, localized meal insights makes all the late-night experiments worth it. CalPulse is still evolving — and still learning from every plate. 🚀
CalPulse
@forrest_chen_fk I'm so proud of our team's dedication and innovation.
Here’s to continuous learning and improving CalPulse together! 💪
CalPulse
@forrest_chen_fk Haha, Forrest basically lived in front of the training monitor for weeks — I’m still not sure if he eats or just fine-tunes himself now 😂
But seriously, couldn’t have pulled this off without him. The “rice bowl confusion” era was wild 🍚💪
CalPulse
As part of the marketing team for CalPulse, I’m super excited to see our vision come to life! 😊
Our goal is all about making healthy eating easy for everyone, and it’s amazing to see how our work is changing the way people enjoy their meals.
I love being part of the team that connects with users and shares their stories. Every piece of feedback helps us get better and better. We’re not just sharing insights, we’re building a community focused on wellness and convenience.
Here’s to more awesome milestones ahead! 💪
CalPulse
@peilan_qin While the rest of us debug calories, Peilan debugs emotions 😄
Seriously though, love how she brings heart to the tech — couldn’t have done it without you! 🙌