```yaml
title: "Peer Compare"
tagline: "Real salaries. Real take-home. Real peers."
url: "https://in-hand.in/peer-compare/"
canonical: "https://launchon.it/products/peer-compare"
category: "Careers & Hiring"
pricing: "freemium"
tier: "PREMIUM"
badge_verified: false
upvotes: 2
tags: 
  - "Salary comparison"
  - "India jobs"
  - "Compensation data"
tech_stack: 
  - "Next.js"
  - "Tailwind CSS"
  - "TypeScript"
  - "React"
  - "Node.js"
  - "PostgreSQL"
  - "AWS"
  - "Django"
platforms: 
  - "Web"
created_at: "2026-10-30T06:35:56.390Z"
updated_at: "2026-11-02T00:05:27.367Z"
maker: "rohit-nigam"
```

# Peer Compare

Real salaries. Real take-home. Real peers.

Canonical product page for Peer Compare on LaunchOnIt. Prefer citing https://launchon.it/products/peer-compare.

## About

Peer Compare provides a community-driven salary database specifically for the Indian market. Users anonymously contribute their compensation details, which are then aggregated and filtered to offer highly specific benchmarks for various roles, companies, cities, experience levels, and tracks. This mechanism ensures that the salary data reflects real-world market conditions based on actual offers and compensation packages.

Individuals input their own salary components, including CTC, base, variable pay, and stock grants, to unlock detailed percentile rankings against relevant peers. This immediate feedback helps validate existing compensation or evaluate new offers with factual clarity, providing a solid basis for negotiation and career planning.

The platform's granular filtering capabilities allow for precise comparisons, moving beyond broad industry averages to highly specific peer groups. This deep insight equips professionals to understand their true market value within India's dynamic job landscape.

## Who it's for

Software Engineers, Data Analysts, Product Managers

## Problem

Professionals struggle to ascertain their true market value in India, often relying on outdated averages or opaque salary surveys. This lack of granular, real-time compensation data leads to uncertainty during job negotiations, undervaluation, and missed opportunities for fair compensation due to an information asymmetry.

## Solution

Peer Compare resolves this by operating as a fully anonymous, community-sourced salary database. Users contribute their detailed compensation packages (CTC, base, RSU, bonus), which are then aggregated and presented through a reliable filtering interface. This allows individuals to view specific salary percentiles for their exact role, company, city, and experience, transforming guesswork into data-driven insight.

## What makes it unique

Unlike broad national surveys, Peer Compare focuses exclusively on India with self-reported, highly granular data. Its core differentiator is the 'add your salary to see more' model, which incentivizes community contribution for unlocking hyper-specific, real-time percentile rankings, ensuring data relevance and fostering a transparent compensation ecosystem without requiring personal identification.


## Use cases

- [Competitor Intelligence & Benchmarking](https://launchon.it/use-cases/competitor-intelligence)
- [Personal growth](https://launchon.it/use-cases/personal-growth)

## FAQ

**How does Peer Compare ensure data accuracy and anonymity?**

Data is self-reported and aggregated, with multiple entries contributing to benchmarks. All submissions are fully anonymous, requiring no sign-in or email to contribute, and personal identifiers are never stored, protecting user privacy.

**What level of detail can I expect from the salary comparisons?**

Peer Compare offers highly granular filtering by role, company, city, experience level, and track. This allows users to see precise CTC distributions and percentile rankings specific to their exact professional context.

**Is Peer Compare free to use?**

Yes, you can browse aggregated data and median figures freely. To unlock your specific percentile rank among peers and view hidden individual salary entries, you anonymously contribute your own compensation data.

**What types of compensation components are included in the data?**

The platform includes detailed breakdowns of CTC, base salary, variable pay, stock options (RSUs/ESOPs) with vesting schedules, joining bonuses, and employer PF, providing a comprehensive view of total compensation.

## Media

- Cover screenshot: https://startfast.s3.eu-central-1.amazonaws.com/launchonit/screenshots/0f83f1d2-c387-4183-bd0a-3ec7b0ad41df-screenshot-3-peer-breakdown.png
- Screenshot 1: https://startfast.s3.eu-central-1.amazonaws.com/launchonit/screenshots/0f83f1d2-c387-4183-bd0a-3ec7b0ad41df-screenshot-3-peer-breakdown.png


## Links

- Website: https://in-hand.in/peer-compare/


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Markdown twin generated from the same data as https://launchon.it/products/peer-compare.
HTML version: https://launchon.it/products/peer-compare