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Dare To Eat

A photo-first food discovery app that turned everyday product finds into a local social feed.

food-discoverysocial-diningphoto-sharinglocation-basedproduct-tagging

Project Snapshot

Client
Confidential
Industry
Food & Beverage
Platform
iOS only
Timeline
4 months
Our Role
Full-stack development + UI/UX design

The Challenge

A consumer food brand approached iMobdev with an idea that sat outside the crowded restaurant-review space: instead of rating restaurants, let people discover and share specific food products they stumbled across in the real world — a jar of mustard at a farmers market, an unusual loaf at a corner bakery, a limited-run snack at a bodega. The founders had validated the concept with early adopters but had no technical team and no existing app to build from.

The core pain point was differentiation. Established players like Yelp and Foursquare owned "where to eat," but nobody owned "what to eat and where to find this exact thing." The client needed a product-level discovery layer that felt closer to a treasure hunt than a directory, built around user-submitted photos rather than curated business listings. Without that photo-first hook, the app risked being a weaker clone of tools users already had installed.

A second pain point was trust in location accuracy. If a user tagged a product at the wrong table, store, or block, the entire discovery loop broke down — the next person searching nearby would get bad directions and abandon the app. The business cost of getting this wrong was significant: a single bad first session (blurry capture flow, wrong pin, no results nearby) would kill retention before the social graph ever had a chance to form.

Finally, the client needed the whole experience — camera capture, tagging, location selection, and sharing — to feel instant on a phone, since the entire behavior only works if it's faster than pulling out a notes app.

Our Solution

iMobdev's approach was to build the entire product around a single core loop: see something interesting, capture it, tag it, share it — and make every screen in that loop as short as possible. We scoped a native iOS build in Swift/Objective-C on UIKit rather than a cross-platform shell, prioritizing camera responsiveness and native photo-library access over multi-platform reach for the initial launch.

The capture flow was designed as a three-tap sequence: a prominent camera action on the home tab launches a "Take a Picture / Use Photo From Library" prompt, followed immediately by a location step ("Where Did You Find It?") with a type-ahead search for spots the user already knows. This was deliberately separated from the final "About the Food!" screen, which collects product name, product type, and a free-text caption alongside the photo — keeping the emotional, fast part (the photo) decoupled from the administrative part (the metadata).

For location accuracy, we integrated MapKit and Core Location to auto-suggest nearby venues and let users confirm or correct a pin rather than typing a full address, reducing mistagging. Photos and product metadata were pushed to a cloud backend (Firebase-backed data store with S3-compatible object storage for images) so the "New Products" and "Following" feeds could update in near real time as users nearby posted new finds. Distance-to-product ("3.1 Miles") was computed client-side against the user's live location for the feed and bookmark views.

Native Facebook and Twitter SDKs were wired into both onboarding (social sign-up) and the share sheet at the end of the tagging flow, letting users cross-post finds without leaving the app — turning each submission into free distribution. A dedicated Bookmarks tab let users save products they wanted to track down later, and a Settings screen consolidated profile editing, location preferences, and friend invites. We shipped in two phases: a core capture-and-feed MVP first, followed by social login, bookmarking, and sharing integrations once the primary loop was validated.

The Impact

The launch build delivered a complete capture-to-share loop in under 10 seconds of user interaction, validated during internal QA and closed beta testing with the founding team. Early beta cohorts completed the photo-tagging flow at a materially higher rate than typical review-app onboarding, with roughly 68% of new sign-ups posting a first product find within their opening session. Social share integrations drove an estimated 20% of new installs during the beta period through Facebook and Twitter cross-posts.

The bookmarking and following features gave the app a lightweight retention hook without requiring a heavy social graph to bootstrap. With the core experience proven, the roadmap now points toward Android parity and richer local search to grow the discovery network beyond its earliest markets.

Key Features

What We Built

One-Tap Photo Capture

Camera or photo library capture launches directly from the home feed in one tap.

Location Tagging

Type-ahead search and map pin confirmation for accurate store or table tagging.

Product Detail Cards

Structured fields for product name, type, and caption keep listings scannable.

New Products Feed

A live, distance-sorted feed of nearby finds alongside a Following tab.

Saved Bookmarks

Users save products and spots to a dedicated bookmarks list for later visits.

Native Social Sharing

Facebook, Twitter, email, and SMS share sheet built into the tagging flow.

Social Sign-On

Facebook and Twitter login reduce signup friction alongside standard email.

Tech Stack

  • Swift
  • OB
    Objective-C
  • UIK
    UIKit
  • MA
    MapKit
  • CO
    Core Location
  • Firebase
  • AW
    AWS S3
  • FA
    Facebook SDK
  • TW
    Twitter SDK

Screenshots

App in Action

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iMobdev turned a rough idea into an app that actually felt fun to use in the first five minutes — that's rare.

Marcus Webb

Founder, Dare To Eat

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