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SuperGitSight
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#864 Radar 50

Analyzes GitHub profiles with performance data and KCRIM scoring.

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Product memo

Provides data-driven intelligence for GitHub profiles, moving beyond basic stats to offer KCRIM scoring (consistency, contribution, reliability, impact, mastery). It helps developers, recruiters, and open-source maintainers by analyzing raw activity to reveal behavioral patterns, year-over-year growth, and broad open-source contributions. This approach delivers clear, actionable insights for talent assessment and project health.

For who

Developers, recruiters, and open-source maintainers

Solves what

Provides data-driven insights and scoring for GitHub profiles.

  • KCRIM scoring system
  • Behavioral insights
  • Complete OSS contribution aggregation

In their own words

SuperGitSight – Data-Driven Intelligence for GitHub Profiles

From Noice To Signals

Commercial cues

Pricing snapshot subscription with free tier

Model

subscription

Free tier

Yes

Trial

No

No public pricing tiers captured.

Pricing Strategy

Key Tactics
  • A generous free tier attracts individual developers and open-source maintainers.
  • An Enterprise tier offers custom integrations and call support for large organizations.

Operator context

Operating setup

Founded

Oct 2025

HQ

India

Platform

Web app

Audience

Developers

Payments

Dodo Payments

Detected via TrustMRR

Tech stack

Radix UI

Builder Strategy

Strategy Type
Niche Specialist
Stage
Pre Revenue
Effort
Solo Buildable
About SuperGitSight Expand

SuperGitSight provides in-depth, data-driven intelligence for GitHub profiles, moving beyond basic statistics to offer a proprietary KCRIM scoring system. This system evaluates consistency, contribution, reliability, impact, and mastery, giving a nuanced view of a developer's activity.

It serves developers, recruiters, and open-source maintainers by analyzing raw GitHub activity to reveal behavioral patterns, year-over-year growth, and broad open-source contributions. The platform's positioning centers on transforming raw data into actionable insights, making it easier to assess talent or evaluate project health.