BeHungry
Cut average order time by 38% with a unified food discovery, delivery, and dine-in deals platform.
- food-delivery
- restaurant-marketplace
- on-demand
- fintech-payments
- hyperlocal

A neighbor-to-neighbor food marketplace that turned home cooks into local micro-vendors.
Project Snapshot
The Challenge
Before approaching iMobdev, Grubpals was a promising idea with no working product: a hyperlocal marketplace where home cooks could sell homemade dishes to neighbors, and buyers could discover meals within walking distance instead of relying on restaurant delivery. The founders had validated the concept through informal conversations and a landing page, but they had no way to actually connect a cook posting a dish with a neighbor wanting to buy it in real time.
The core challenge was building trust and discovery in a two-sided marketplace from scratch. Buyers needed a way to browse nearby dishes the way they'd browse a social feed, while cooks needed a dead-simple way to list a dish, price it, and manage orders without feeling like they were running a restaurant. Without this, the business risked launching to an audience that had no reason to open the app twice.
There was also a proximity and logistics problem: food is perishable and pickup windows are short, so the app needed accurate location matching, scheduling, and a lightweight ordering flow that could move a buyer from "I saw this burger" to "I paid for it" in under a minute. Any friction in that path — clunky sign-up, unclear ingredient or allergen info, no reviews — would kill repeat usage before it started.
Finally, the founders were self-funded and needed the entire experience — onboarding, social feed, dish detail, and geolocation discovery — built and shippable within a single lean development cycle, with no legacy code or existing backend to build on.
Our Solution
iMobdev approached Grubpals as a social-commerce hybrid rather than a traditional delivery app, and the architecture reflects that from the first screen. Onboarding was designed around a single warm, appetizing hero image and a three-field sign-up (name, email, password) to get users into the feed as fast as possible, with sign-in as a lightweight fallback for returning users.
The heart of the app is a Instagram-style dish feed: each post pairs a cook's profile photo and name with a large hero image or video of the dish, distance from the viewer, and quick like/share actions. This design choice was deliberate — it borrows the browsing habits people already have from social apps and applies them to food discovery, making "what's nearby" feel like scrolling a feed rather than searching a directory.
Tapping into a post opens a dedicated dish detail screen with a swipeable image gallery, a description, tag chips (cuisine and category, e.g. "American," "Burger"), and tabs for Ingredients, Reviews, and Schedule — giving buyers the confidence to order from a stranger's kitchen by seeing exactly what they're getting and when it's available. A persistent "fetch me some" call-to-action anchors the bottom of the screen so ordering is always one tap away.
Discovery is powered by a geolocation layer visualized as a radar map: concentric rings centered on the user's location plot nearby cooks as pins, reinforcing the "find people near you" pitch and making proximity — the app's core value proposition — visually obvious during onboarding. On the backend, iMobdev built a real-time listings and order management system, push-notification-driven order status updates, and a profile/rating layer to build the trust needed for strangers to transact on home-cooked food. The build was phased across discovery, core marketplace flow, and social/trust features to get a testable product in front of early neighborhoods quickly.
The Impact
Grubpals launched with a fully functional two-sided marketplace: browse, order, and pay for home-cooked meals from neighbors within a defined radius. In early market testing, the app saw home cooks list an average of 6+ dishes per week and buyers complete first orders within their first session at a meaningfully higher rate than the founders' original landing-page benchmark. The social feed format drove noticeably higher scroll depth and repeat opens compared to a standard restaurant-listing layout tested earlier in discovery.
The proximity-based discovery model became the app's signature feature, cited by early users as the reason they trusted ordering from an unfamiliar cook. With the core marketplace, dish detail, and geolocation experience now proven, Grubpals is positioned to expand into scheduled group orders and neighborhood-level cook verification as it grows.
Key Features
Instagram-style feed of nearby home-cooked dishes with photos, video, and distance.
Radar-style map view surfaces cooks and dishes within walking distance.
Ingredients, reviews, and schedule tabs build trust before ordering.
"Fetch me some" checkout flow gets buyers from browse to order fast.
Buyers can like and share favorite dishes to keep the feed engaging.
Every dish is tied to a cook's profile for accountability and repeat orders.
Screenshots
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“iMobdev turned a napkin idea into an app that actually felt like our neighborhood — that's harder than it sounds.”
Priya Chandran
Founder, Grubpals
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