
Fig: Food Scanner & Discovery
Yuka
Spokin
Nutritics
Kaboodle
Snap any menu. Niblu flags risky ingredients and highlights safer dishes so you can order with confidence.

The modern platform for creating, sharing, and collaborating on AI prompts. Advanced version control and real-time testing.

Website, pricing, platforms and company facts side by side.
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| Website | nib.lu | diffyn.com |
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| Company | Startup from Romania · 1 - 9 employees · 2026 | — |
| Listed in |
In their own words, as submitted to SaaSHub.


Niblu is a menu safety co-pilot for people with allergies, intolerances, and restrictive diets. Snap a menu (photo or PDF), set what you avoid (like dairy, gluten, eggs, nuts, shellfish), and Niblu flags risky dishes and highlights safer picks so you can order with confidence. Unlike...
No description of Diffyn yet.
What each product offers, as listed by its team.


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The Ultimate Prompt Tool for Creators – Visualize & Organize with Diffyn
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Niblu and Diffyn.
Niblu's answer
Niblu is menu-native. It reads real restaurant menus (photos/PDFs), then turns them into a clear decision: Safe, Unsafe, or Uncertain based on your personal allergy/intolerance profile, with the “why” behind each call.
Diffyn's answer:
Addresses workflow and change management on LLM prompts, provide teams with traceability and visualization of tests across multiple models, provide deeper understading into efficiency of these prompts.
Niblu's answer
Most tools are barcode-first or database-first. Niblu is built for the moment you actually need help: when you’re staring at a menu at the table. It’s fast, personal, and improves over time as you save preferences and react to dishes.
Diffyn's answer:
Diffyn is the platform that specializes on both change management and multi-model analysis.
Niblu's answer
Next.js, TypeScript, React, PostgreSQL, Tailwind CSS, Three.js, plus AI vision + language models for menu understanding.
Diffyn's answer:
React, Next.js, POSTGRESQL
Niblu's answer
People who eat out and need to avoid specific ingredients due to allergies, intolerances, or restrictive diets (dairy-free, gluten-free, egg-free, nut-free, vegan, halal), especially travelers and busy diners.
Diffyn's answer:
Professionals incorporating LLMs or AI tools in their workflow and wants to keep track of changes and test their prompts.
Niblu's answer
Niblu started from the simple problem: eating out with restrictions is stressful, slow, and easy to mess up. The goal is to make restaurant dining safe and actually enjoyable again, with a tool that reads menus the way humans wish menus were written.
Diffyn's answer:
I started working on Diffyn when I notice that prompting has become an essential part of work across many industries. While there are version control platofrms like github, they are not designed for just prompt management are can be overkill such applications, it is also not integrated natively with various LLMs and relevant tools for users to validate ideas and visualise results properly.
Niblu's answer
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Yuka is an independent reviewer of food and cosmetics products. It gives a note (between 0 & 100) to products to help you buying more reliable, respectful and healthier things.
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Making food information more accessible when it matters most
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