CLUSTER ALLERGIES-DIETARY-DINING · 4 ENTRIES · EARLIEST ENTRY 2026-01-30
Allergen-aware restaurant search apps
This cluster consists of mobile restaurant finders that filter nearby dining options by user allergens and dietary preferences, often with additional features like reservations or delivery. The dated history is too thin to read a shape from—only one dated entry exists before the index start, and two members have no source date, so the cluster likely predates index coverage. On traction, restaurant-journal leads the group, followed by EatGlutenFree and safebite, though all show zero stars.
Entry timeline
ENTRY TIMELINE
Each bar is the month a member carries, which is a creation date where the source published one and a crawl date otherwise. Nothing in the index was found before 11 August 2026, and coverage broadened sharply on 14–15 August, so a bar from then on reports how much we found that month, not how much was built; an earlier bar reports how far back a member's own source dated it — not how long we have been watching.
Members by activity
Activity signals, not revenue.
Build origin · 4 unlabelled
Operator · 2 hobby · 1 commercial · 1 unlabelled
Two labels per entry, never collapsed into one: how it was built, and who stands behind it. Counted over the 4 listed below. Unlabelled means nothing has decided yet — not that the answer is small.
- 01EatGlutenFree0★16 days—Restaurant search app that filters nearby dining options by food preferences, occasion, and allergies to help diners choose safe places.
- 02restaurant-journal0★27 days—hobbyRestaurant finder that helps travelers with food allergies locate safe dining options based on their dietary restrictions.
- 03geo-resto-app0★4 molivehobbyMobile app that helps users discover nearby restaurants filtered by allergens and dietary preferences, with reservations and delivery integration.
- 04Indulge Wisely™ · HG SPLY CO0★unknownlivecommercialWeb tool filters a restaurant's menu by macros, calories, and allergens, letting diners build a custom plate.
Ranked by traction, highest first, and paged 20 at a time — this is a window on the cluster, never the whole of it. Ties are broken by a stable id so a product cannot appear on two pages or fall between them. Browse every cluster.