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SeekSagar is a hyperlocal deals discovery app that helps shoppers instantly find the best offers from nearby stores, across categories like fashion, electronics, groceries, beauty, medicine, and local services.
iRoid Solutions built a Kotlinâbased Android app, backend APIs, and admin panel that turn scattered offline offers into a single, realâtime feed of locationâbased savings within a 7 km radius.
Tools

Android studio

VS code

Git
UI/UX

Figma
Cloud/Server
AWS
GoDaddy
Apache
Database

MongoDB
Back-end

NodeJs
Front-end

HTML5

CSS3

JavaScript

jquery
Mobile

Kotlin

Android
Android
1 Member
Node.js
1 Member
QA
1 Member
UI/UX
1 Member
Project Manager
1 Member
Project Description
In a city like Mumbai, great discounts are everywhere, on shop boards, WhatsApp statuses, and random social pages, but most shoppers never see them in time. SeekSagar set out to solve this by becoming a local “deal radar” for the neighbourhood.
Using the app, users create a simple profile, allow location access, and immediately see live offers from nearby stores and vendors. Deals are organised by category (clothing, electronics, groceries, salons, games, medicine, and more), so people can quickly scan what’s relevant and decide where to go.
For this first phase, SeekSagar is focused on Android users in Mumbai’s Western suburbs, with future plans to add deliveryâbased listings, deal alerts, business dashboards, reviews, and price comparisons. Our team implemented the Android app in Kotlin, backed by Node.js/Express APIs, MongoDB, and an admin panel hosted on AWS/GoDaddy, so the product is ready to scale to new areas and features.
Business Goals
The main business goal for SeekSagar is to bridge the gap between offline businesses and smart local shoppers: give shops a simple way to broadcast their offers, and give users one place to see everything around them.
By aggregating deals into a clean, geolocationâbased feed, the platform aims to increase footfall for local stores, reduce the effort shoppers spend hunting for discounts, and eventually become a nationwide discovery ecosystem for offline retail.
For the founders, SeekSagar is positioned as Mumbai’s goâto local deal finder today, with an eye on expanding into multiple cities and layering on richer monetisation tools like business dashboards, premium listings, and analytics.
Features
RealâTime Local Deal Discovery
Users see live, locationâbased deals from stores within a configurable radius (starting with 7 km), so savings are always relevant to where they are right now.
Wide Category Coverage
SeekSagar surfaces offers across clothing, electronics, groceries, makeup, games, medicine, and services like salons, ensuring shoppers can use the app for both everyday needs and special purchases.
Simple User Profiles & Personalisation
Shoppers create light profiles and set preferences, allowing the app to tailor recommendations and future deal alerts to their interests and habits.
AndroidâOptimised Experience
The app is optimised specifically for Android users in Mumbai’s Western suburbs, with smooth navigation and performance tuned for daily, onâtheâgo use.
Hyperlocal Focus (Mumbai â Western Suburbs)
SeekSagar starts with a tight geographic focus, ensuring deal quality and relevance before expanding to more parts of Mumbai and other cities.
RoadmapâReady Infrastructure
The backend and admin tools are designed to support upcoming features like deliveryâbased deal listings, business signâup and dashboards, reviews, ratings, and product price comparisons.
Admin Panel for Deal & Business Management
SeekSagar’s team can onboard businesses, manage listings, categories, and moderation from an admin interface, keeping the local feed clean and trustworthy.
Typography & Color Palete

Challenges & Solutions
Challenges
Solutions
Turning scattered offline offers into a clean digital feed
Local deals are currently spread across boards, WhatsApp stories, and social posts, which makes discovery inconsistent.
SeekSagar’s architecture and UX were built around geolocationâbased posts and centralised listings, giving users one app that surfaces nearby deals in real time.
Staying truly âlocalâ without overwhelming users
Too many offers from too wide an area can feel noisy and irrelevant.
Radiusâbased discovery (starting with 7 km) and category filters help users see only the most relevant nearby deals, keeping the experience focused on their neighbourhood.
Supporting offline businesses that arenât techâsavvy
Many shop owners have limited time or experience with digital platforms.
The backend and upcoming dashboard are designed to make listing offers fast and straightforward, with minimal steps and clear value: more visibility, more footfall, no complex eâcommerce setup.
Launching in one city while planning for national scalec
The product had to work well for Mumbai’s Western suburbs today, but still be flexible enough for other cities and categories tomorrow.
Node.js, MongoDB, and modular data models allow new cities, categories, and deal types to be added without reworking the core app, making expansion a configuration change rather than a rebuild.
Differentiating from other local deal apps
Users already see discounts on multiple platforms, so SeekSagar needs a clear value proposition.
The product focuses on hyperlocal, realâtime, free discovery with a simple “Search, Shop, Save Locally” narrative, positioning itself as the easiest way to see everything nearby in one place.
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