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AI meal planning that remembers your kitchen.

Website, pricing, platforms and company facts side by side.
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| Website | codegres.org | mealthinker.com |
| Pricing | — | |
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| Company | — | Startup from the United States · 1 - 9 employees · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of Codegres.org yet.
MealThinker is a pantry-aware meal planner for Web, iOS, and Android. It brings your saved dietary preferences, pantry items, favorite recipes, meal history, and nutrition targets into personalized dinner ideas and weekly plans. What it helps with Ask naturally for dinner, a day of meals, or a...
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
Overall verdict
Why this product is good
Recommended for
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MealThinker — AI Meal Planning That Remembers You
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As answered by people managing Codegres.org and MealThinker.
MealThinker's answer:
Health-conscious individuals who want to eat better but find meal planning tedious. People tracking nutrition or following specific diets who want personalized suggestions based on their actual goals and preferences.
MealThinker's answer:
I was using AI to get meal suggestions but got frustrated re-explaining my situation every time. What foods I have, my nutritional targets, what I like and dislike. I built MealThinker to hold all that context so the AI could give useful suggestions without starting over.
MealThinker's answer:
Next.js, PostgreSQL, Prisma, Gemini Flash 3.0, Vercel, Capacitor (iOS/Android)
MealThinker's answer:
MealThinker is designed for people who want personalized meal planning without rebuilding their preferences and kitchen list for every request. It can use saved diet and allergy information, pantry items, cooking constraints, recipe history, and nutrition targets to shape dinner ideas and weekly plans, then turn saved plans into recipes and shopping lists.
MealThinker's answer:
MealThinker combines conversational planning with structured meal-planning state: saved dietary preferences, pantry items, favorite recipes, ratings, recent cooking history, and nutrition targets. Those records can shape future dinner ideas and weekly plans, so users can build on their kitchen context instead of re-entering the same details each time.
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