Jiju / A local discovery guide for places worth visiting
Jiju.pet revamp
A proposal to turn Jiju.pet into a local discovery platform with scene-based search, real-life filters, and a larger market.
It sells the scene, not the place.
People search for situations, not restaurants
The proposal moves Jiju.pet from a pet-friendly directory to a context-based local discovery engine. Google Maps is a place database; Jiju becomes a scene database that breaks each place into the question that matters right now: lunch now, work from a cafe, bringing my pet, easy parking, show me promos, local favorites, a rainy-day spot.
Five main categories organize the filters: Eat, Work, Chill, Pet, and Promo, each with a short set of real-life tags.
A fit score instead of a rating
Each place carries a seven-axis fit score: food, comfort, parking, work-friendly, pet-friendly, value, and local approval. A profile reads like a database row, with area, price range, best hours, and hours to avoid, so the summary can say something useful such as best for weekday laptop work and an affordable lunch set, but parking gets difficult after 12:30pm.
Nail one city first
The MVP is deliberately small: one city, about 100 places, and 8 filters, delivered in four phases. Daily-frequency use opens more monetization paths than a pet directory, and the domain question (.pet or a new name) is settled by validation rather than preference. Eden builds the system; a partner drives real-world growth.