About FeedBun

Our Mission

FeedBun was created to help people make informed food choices by decoding food labels, recipes, and the ingredient stories behind them. We believe everyone deserves transparency about what they buy, cook, and consume.

Founded in 2025 by Fred Wu and operated under Wuit Pty Ltd in Australia, FeedBun combines AI-assisted extraction with ingredient, nutrition, and recipe research to provide clear health ratings, research summaries, personalised insights, and recipe ingredient swaps.

Why FeedBun?

In today’s complex food landscape, understanding product labels and recipe pages has become increasingly difficult. Packaged foods can hide additives and allergens behind label language, while recipes can hide nutrition, portion, and substitution trade-offs in plain sight.

FeedBun addresses this challenge by:

  • Automatic Food Page Analysis: Our browser extension analyses supported public food product and recipe pages, identifying ingredients, allergens, nutrition details, and item context.
  • Evidence-Based Health Ratings: We provide clear A/B/C/F ratings based on analysis of ingredients, nutrition, processing, portions, and quality factors where available.
  • Transparent Research: Research summaries keep citations and caveats visible so you can see why an item receives its guidance.
  • Personalised Insights: Health profiles can surface allergy, dietary, and condition-aware notes for researched products and recipes.
  • Recipe Ingredient Swaps: Recipe ingredients can include practical substitution suggestions when healthier or profile-aware swaps are available.

How It Works

  1. Open A Food Page: Use the browser extension on a supported public food product or recipe page.
  2. AI-Powered Extraction: FeedBun validates the page type, extracts available item details, ingredients, allergens, nutrition facts, recipe steps, servings, and timing.
  3. Research Integration: FeedBun connects extracted ingredients and nutrition context to source-backed research summaries.
  4. Health Rating And Personalisation: Multi-factor rating and optional health-profile checks turn that evidence into practical guidance.

Our Commitment

We’re committed to:

  • Accuracy: Continuously improving our AI models and research database to provide the most accurate information.
  • Transparency: Making our rating methodology clear and our research sources accessible.
  • Privacy: Protecting your personal data and food preferences with industry-standard security measures.
  • Accessibility: Keeping essential features free while offering advanced tools for power users.

Contact Us

We’d love to hear from you!

FeedBun is a product of Wuit Pty Ltd, registered in Australia.