This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
January AI
Metabolic & nutrition infrastructure for developers
Add meal scanning, restaurant search, device-free glucose predictions, and access to millions of verified foods to your health product. Built with the precision health demands and the simplicity modern developers expect. Sign up, create an API key, and start building for free. Available via APIs and SDKs.
We’ve spent the last few years building nutrition and metabolic intelligence inside January AI. That's AI food logging and glucose predictions that don't require a CGM. It's especially useful for people who have prediabetes, type 2 diabetes, or really anyone who cares about their metabolic health.
We developed these experiences with accuracy in mind, with patented ML models as the foundation and years fine-tuning to build something that's trustworthy and effective.
The big announcement is that we’re making that infrastructure much easier for other developers to use.
With January’s APIs and SDKs, you can add bring these capabilities into your own platform:
→ Meal scanning and food recognition → Natural-language, barcode, and restaurant food search → Food logging → Healthy food alternatives → Personalized 2-hour glucose predictions without requiring a CGM
We value the precision that health demands. Our Meal Scanner benchmarks at 86% accuracy, better than frontier LLMs, and we’ve already seen customers evaluate January against alternatives like Passio and choose us because of accuracy and coverage.
We also think nutrition data is only the starting point. The bigger opportunity is helping products understand what food actually means for an individual, and eventually bring more health context into those decisions.
The other big change with this launch is developer experience. You can now sign up, create an API key, and start building through our self-serve developer platform.
If you try it, I’d genuinely love to hear what you’re building, what’s missing, and where the experience feels harder than it should.
We’ll be here all day. Honest feedback is very welcome.
Love this. The only real challenge is that these meal scanners do not recognize keto, low-carb or meat analogs like Beyond Burgers, Impossible Burgers, etc., which leads to incorrect output and counts.
About January AI on Product Hunt
“Metabolic & nutrition infrastructure for developers”
January AI was submitted on Product Hunt and earned 5 upvotes and 3 comments, placing #52 on the daily leaderboard. Add meal scanning, restaurant search, device-free glucose predictions, and access to millions of verified foods to your health product. Built with the precision health demands and the simplicity modern developers expect. Sign up, create an API key, and start building for free. Available via APIs and SDKs.
January AI was featured in Health & Fitness (83.2k followers), Developer Tools (519k followers) and Artificial Intelligence (478.1k followers) on Product Hunt. Together, these topics include over 233k products, making this a competitive space to launch in.
Who hunted January AI?
January AI was hunted by Alex DiTullio. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how January AI stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Alex DiTullio
Hey Product Hunt!
We’ve spent the last few years building nutrition and metabolic intelligence inside January AI. That's AI food logging and glucose predictions that don't require a CGM. It's especially useful for people who have prediabetes, type 2 diabetes, or really anyone who cares about their metabolic health.
We developed these experiences with accuracy in mind, with patented ML models as the foundation and years fine-tuning to build something that's trustworthy and effective.
The big announcement is that we’re making that infrastructure much easier for other developers to use.
With January’s APIs and SDKs, you can add bring these capabilities into your own platform:
→ Meal scanning and food recognition
→ Natural-language, barcode, and restaurant food search
→ Food logging
→ Healthy food alternatives
→ Personalized 2-hour glucose predictions without requiring a CGM
We value the precision that health demands. Our Meal Scanner benchmarks at 86% accuracy, better than frontier LLMs, and we’ve already seen customers evaluate January against alternatives like Passio and choose us because of accuracy and coverage.
We also think nutrition data is only the starting point. The bigger opportunity is helping products understand what food actually means for an individual, and eventually bring more health context into those decisions.
The other big change with this launch is developer experience. You can now sign up, create an API key, and start building through our self-serve developer platform.
If you try it, I’d genuinely love to hear what you’re building, what’s missing, and where the experience feels harder than it should.
We’ll be here all day. Honest feedback is very welcome.