An AI-powered app that transforms leftover ingredients into delicious recipes by analyzing photos of your fridge contents, helping reduce food waste and simplify meal planning.
How strong is Fridge Leftovers AI’s web footprint?
Backlinks measure accumulated distribution; referring domains show how broadly that authority is spread. Both are observable on the open web, so both are published for every product here.
Backlinks
1KCurrent snapshot
Referring domains
165Current snapshot
Authority
20Domain authority · category median 22
90-day move
+13.3%Referring domains, last 90 days
At 20, Fridge Leftovers AI sits below the 22 median for its category.
Trajectory · Pro
The counts above are the latest of 370 daily observations. The curve through them is on the full profile.
Traffic makes more sense when you can connect it to the actual product promise.
“Fridge Leftovers AI”
An AI-powered app that transforms leftover ingredients into delicious recipes by analyzing photos of your fridge contents, helping reduce food waste and simplify meal planning.
General AssistantSeen 2026-08-21 → 2026-08-21Coverage tier C
What we have measured
4 of 8 signal groups are available for this product: identity, authority and backlinks, AI referrals, search demand.
Not measured for this domain: traffic and engagement, audience demographics, country distribution, acquisition mix. Those sections are left out of the page rather than filled with estimates.
Canonical website: https://fridgeleftoversai.com
Observed across 1 discovery source.
Research questions
What the evidence answers about Fridge Leftovers AI.
Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.
What does Fridge Leftovers AI do?
Fridge Leftovers AI is an AI-powered app that suggests recipes from leftover ingredients by analyzing photos of your fridge contents. It helps reduce food waste and simplify meal planning. The app uses image recognition to transform leftover ingredients into recipe suggestions.
In what situations is Fridge Leftovers AI used?
Fridge Leftovers AI is used when you are wondering what to cook with the ingredients available in your fridge. Instead of manually typing out every ingredient, you can snap a photo of your fridge or leftovers and get recipe suggestions.
What features does Fridge Leftovers AI offer?
Fridge Leftovers AI features a three-step process: take a photo of your fridge's contents, select the ingredients you want to use, and get a variety of tailored recipe inspirations. It offers a seamless and intuitive user experience for ingredient identification and recipe suggestion.
Who is Fridge Leftovers AI for?
Fridge Leftovers AI is for anyone looking to reduce food waste and simplify meal planning, from seasoned chefs to novices in the kitchen. The app provides a curated selection of recipes that cater to user preferences and dietary restrictions.
What is Fridge Leftovers AI?
Fridge Leftovers AI is an AI-powered app that uses image recognition to suggest recipes from leftover ingredients found in your fridge. It aims to reduce food waste and simplify meal planning by transforming available ingredients into recipe ideas.
5 of 6 research questions are answered for this product. The rest need source evidence we have not collected yet, so they are left unanswered rather than guessed.
Behind the lock
Unlock full Fridge Leftovers AI intelligence.
Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 370.
AI referral detailHow much traffic assistants send.
Search structure and ranking depthOrganic against paid, brand against non-brand, and how many keywords rank in the top three against the long tail — which is what decides whether the demand is portable or tied to the name.
The rest of the marketPage through every leaderboard 100 rows at a time, put any five products side by side, and query the whole dataset over API / MCP.
Worldwide estimates · Data period 2026-05-01 → 2026-07-31. Figures are measured estimates intended for market research. Signals we have not measured for this domain are omitted, never estimated; a measured zero is still reported as zero. How this was measured