PriceWitness

Turn predatory pricing into irrefutable CCI evidence

Score: 7.3/10IndiaMedium BuildReady to Spawn
Brand Colors

The Opportunity

Problem

Indian ride-hailing competitors and driver groups cannot secure regulatory protection against Rapido's alleged predatory pricing and dominance, as CCI routinely dismisses complaints leaving them with mounting revenue losses.

Solution

PriceWitness lets unions and competitors collect timestamped pricing data from thousands of drivers via simple mobile forms. The platform automatically flags below-cost patterns, aggregates anonymized data across associations, and generates professionally formatted CCI complaints with charts and legal citations in one click.

Target Audience

Indian ride-hailing competitors, taxi unions, and auto-driver associations facing Rapido

Differentiator

Purpose-built antitrust evidence engine using Indian ride-hailing pricing benchmarks that CCI cannot dismiss as anecdotal

Brand Voice

supportive

Features

Driver Pricing Logger

must-have35h

Mobile-friendly form for drivers to log trip details, fare, surge, and platform in <30 seconds

Predatory Pattern Engine

must-have55h

Rule-based + statistical engine that detects sustained below-cost pricing against defined thresholds

One-Click CCI Complaint Builder

must-have45h

Auto-generates 15-page PDF with charts, legal language, and evidence annexures tailored to Competition Act

Union Dashboard

must-have30h

Central view of all member data, trends, and complaint history for association admins

Anonymous Cross-Union Pool

must-have40h

Secure aggregation of data from multiple independent unions without exposing sources

Real-time Heatmap

nice-to-have25h

Visual map showing predatory hotspots across cities

Export to Lawyer Portal

nice-to-have20h

Direct integration with popular Indian legal tech platforms

Impact Simulator

nice-to-have30h

Forecasts revenue loss for drivers based on detected patterns

Automated Follow-up Tracker

future35h

Tracks CCI case status and sends reminders

Total Build Time: 315 hours

Database Schema

organizations

ColumnTypeNullable
iduuidNo
nametextNo
typetextNo
gst_numbertextYes
subscription_tiertextNo
created_attimestampNo

Relationships:

  • has_many: members
  • has_many: pricing_records via org_id

members

ColumnTypeNullable
iduuidNo
org_iduuidNo
phonetextNo
roletextNo
is_activeboolNo

Relationships:

  • belongs_to: organizations
  • has_many: pricing_records

pricing_records

ColumnTypeNullable
iduuidNo
member_iduuidNo
org_iduuidNo
platformtextNo
fareintNo
distance_kmintNo
timestamptimestampNo
is_anonymousboolNo

Relationships:

  • belongs_to: organizations
  • belongs_to: members

complaints

ColumnTypeNullable
iduuidNo
org_iduuidNo
titletextNo
statustextNo
generated_attimestampNo
pdf_urltextYes

Relationships:

  • belongs_to: organizations

API Endpoints

POST
/api/pricing/log

Submit new trip pricing record from driver

🔒 Auth Required
POST
/api/complaints/generate

Trigger complaint PDF generation with analysis

🔒 Auth Required
GET
/api/analytics/aggregate

Get cross-union anonymized statistics

🔒 Auth Required
POST
/api/organizations/invite

Invite drivers via WhatsApp deep link

🔒 Auth Required

Tech Stack

Frontend
Next.js 14 + Tailwind + Recharts
Backend
Next.js API Routes + tRPC
Database
PostgreSQL
Auth
Clerk (with phone OTP support)
Payments
Razorpay
Hosting
Vercel + Railway (DB)
Additional Tools
Pandas + NumPy for pattern detectionpdf-lib for dynamic PDFs

Build Timeline

Week 1: Foundation and auth

38h
  • Project scaffold
  • Clerk + Razorpay integration
  • Basic org and member CRUD

Week 2: Data collection layer

42h
  • Pricing record schema and API
  • Mobile-optimized logging form
  • CSV import tool

Week 3: Analytics engine

45h
  • Pattern detection algorithms
  • Dashboard with charts
  • Cross-union aggregation logic

Week 4: Complaint generator

40h
  • PDF template engine
  • Legal text library
  • One-click export flow

Week 5: Polish and compliance

35h
  • Data anonymization
  • Landing page
  • Basic admin moderation tools
Total Timeline: 5 weeks • 275 hours

Pricing Tiers

Starter

$0/mo

500 records/month

  • Up to 5 drivers
  • Basic logging
  • Manual reports

Pro

$35/mo

None

  • Unlimited drivers
  • Auto CCI complaint builder
  • Pattern detection
  • Cross-union pool access

Enterprise

$99/mo

None

  • Dedicated account manager
  • Custom legal templates
  • Priority support
  • API access

Revenue Projections

MonthUsersConversionMRRARR
Month 18512%$357$4,284
Month 662021%$4,578$54,936

Unit Economics

$28
CAC
$840
LTV
6%
Churn
83%
Margin
LTV:CAC Ratio: 30.0xExcellent!

Landing Page Copy

Stop losing revenue to predatory pricing

The only platform that turns driver trip data into CCI-ready complaints that actually get noticed.

Feature Highlights

Instant predatory detection
Auto-generated legal complaints
Anonymous union data pooling
Built for Indian antitrust law

Social Proof (Placeholders)

""We filed our first CCI complaint in 9 minutes. Game changer." — Delhi Taxi Union"
""Finally, data they cannot ignore." — Maharashtra Auto Association"

First Three Customers

Target the top 15 taxi unions in Delhi, Mumbai, and Bengaluru via their WhatsApp groups and office bearers on LinkedIn. Offer 90-day free Pro access in exchange for co-branded press release and case study. Attend monthly driver association meetings in these cities to demo live complaint generation.

Launch Channels

ProductHuntLinkedIn (Indian startup & legal tech groups)r/indiaTaxi Union WhatsApp networksX with #SaveIndianDrivers

SEO Keywords

cci complaint generatorpredatory pricing evidence toolrapido complaint platformride hailing antitrust softwaredriver union data analytics

Competitive Analysis

MyAdvo

myadvo.in
Per case
Strength

Large lawyer network

Weakness

No specialized ride-hailing data engine

Our Advantage

Automated evidence + pricing intelligence

LegitQuest

legitquest.com
Enterprise
Strength

Legal research database

Weakness

No data collection from street level

Our Advantage

Ground-up driver data pipeline

🏰 Moat Strategy

Network effects from participating unions creating the richest proprietary dataset of Indian ride-hailing pricing behavior

⏰ Why Now?

Multiple recent CCI dismissals against driver groups have created urgency; unions are actively seeking better evidence tools after losing significant revenue to Rapido

Risks & Mitigation

legalmedium severity

CCI or Rapido claims platform encourages frivolous complaints

Mitigation

Clear disclaimers, lawyer-reviewed templates, and data accuracy scoring

marketmedium severity

Unions slow to adopt digital tools

Mitigation

Heavy focus on WhatsApp-first onboarding and in-person demos

Validation Roadmap

pre-build10 days

Interview 12 union leaders about current complaint process

Success: At least 8 confirm they would pay ₹2500+/mo for automated tool

mvp35 days

Run 30-day pilot with 2 unions

Success: Minimum 4500 records collected and 3 complaints generated

Pivot Options

  • Expand to other predatory sectors (e.g. food delivery, e-commerce)
  • White-label version for large ride-hailing competitors

Quick Stats

Build Time
275h
Target MRR (6 mo)
$4,800
Market Size
$8.5M
Features
9
Database Tables
4
API Endpoints
4