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FareView - Ride Comparison App

FareView - Ride Comparison App

Core Idea: An app that compares real-time fares, wait times, and offers across multiple ride-hailing platforms (Uber, Ola, Lyft, Rapido, Bolt, InDrive, etc.) to help users choose the cheapest or fastest ride.

 

Key Features:

  • Multi-Platform Fare Comparison

    • Pulls live fare estimates from all major ride apps for the same trip.

    • Shows cheapest, fastest, and best-value rides in one screen.

  • ETA & Surge Alerts

    • Highlights expected wait times.

    • Warns when prices are surged and suggests cheaper alternatives.

  • Promo & Coupon Aggregator

    • Shows available discounts, promo codes, or cashback deals for each service.

  • Ride Type Filters

    • Compare across ride types (bike, auto, car, XL, premium).

  • Smart Recommendations

    • Suggests whether to wait a few minutes (if surge likely to drop).

    • Offers alternative transport (metro, bus, carpool) if cheaper/faster.

  • One-Tap Deep Link Booking

    • After comparison, user taps on their choice → instantly redirects to the respective ride app with pre-filled pickup & drop.

  • History & Savings Tracker

    • Keeps track of past rides. Shows how much money/time the user saved by comparing.

 

The Problem

  • In many cities, multiple ride-hailing apps exist (Uber, Ola, Lyft, Rapido, Bolt, inDrive, etc.).

  • Fares for the same route vary a lot across platforms, sometimes by 30–50%, depending on surge pricing, driver availability, or discounts.

  • Users have to open each app separately, enter pickup and drop points, and compare manually.

 

The Need

  • A single platform where users can see all ride options in one place.

  • A way to instantly know the cheapest, fastest, or most reliable ride without opening 4–5 apps.

  • Convenience + cost savings + smarter decisions for daily commuters.

 

How the App Works

User Input

  • The user opens the app and enters pickup and drop-off locations.

  • Optionally: selects ride type preferences (bike, auto, car, SUV).

  • The app also gets current location using GPS if needed.

Request to Providers

  • The app sends requests to different ride providers’ APIs (Uber, Ola, etc.) using their developer keys.

  • Each provider responds with:

    • Estimated fare 

    • Estimated arrival time 

    • Available ride types (e.g., Auto, Mini, Prime, XL).

Comparison Engine

  • The backend collects all responses.

  • It organizes them into a standard format (since each provider’s API is different).

  • Example:

ProviderRide TypeFareETASurge
UberUberGo₹1204 minYes
OlaOla Mini₹1105 minNo
RapidoBike₹602 minNo

Display to User

  • The app shows the results in a list + map view:

    • Sort options → Cheapest, Fastest, Closest

    • Filters → Ride type (bike/auto/car)

  • Example: “Rapido is cheapest (₹60), Ola Mini is next cheapest (₹110), UberGo is fastest to arrive (4 mins).”

User Action

  • The user taps on the preferred option.

  • The app either:

    • Redirects to provider’s app (deep link → e.g., opens Ola app with pickup/drop filled in).

    • Or, if allowed by provider’s API, confirms booking directly inside the app.

 

So the app is basically like Skyscanner for rides – it doesn’t own cars, it just compares providers.

Votes: 22
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Comments

  • Focusing on surge alerts and coupon aggregation is brilliant—those are the instant, high-value features that will immediately save users money and encourage daily adoption.
  • This is a fantastic, well-thought-out concept with clear market demand. The "Skyscanner for rides" analogy is perfect for defining the core value proposition.
  • As the workday officially ends and evening plans begin, your app becomes the ultimate convenience tool. It's perfect for the tired commuter who just wants the simplest, cheapest way to get home without the mental effort of juggling multiple apps.
  • This app is a fantastic market equalizer, forcing platforms to compete transparently for your ride. It gives the power back to the consumer, especially during unpredictable evening peak hours.
  • This is the perfect tool for the end of a long Monday when you just want to get home. It removes the stress of comparing apps and instantly finds the cheapest or fastest option.
  • Fundamentally, your app is a powerful aggregator that brings much-needed transparency to the fragmented and often opaque ride-hailing market
  • This app is a perfect solution for a Hyderabad commuter trying to beat the morning rush by comparing everything from a Rapido bike to an Uber cab.
  • Great concept – solves a real pain point for users juggling multiple ride apps.
    Smart use of APIs and deep linking keeps it lightweight and scalable.
  • This is an excellent concept that directly solves a frustrating and common problem for daily commuters in cities like Hyderabad.
    Your biggest challenge will be securing reliable API access, as companies like Uber and Ola are often reluctant to be commoditized.
  • This is a brilliant solution for daily commuters, directly addressing the frustrating price and time variations across multiple ride apps.
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