PM Analysis Examples

Real GitHub projects analyzed with VEMO

100% real data from public repositories

Even The Best Projects Have Hidden Costs

These are successful, well-maintained projects with thousands of stars. VEMO reveals optimization opportunities that traditional metrics miss.

tRPC

End-to-end typesafe APIs

38,959 stars
~50K LOC
Core team + contributors
$42K Hidden Costs
$42K in automation overhead despite 93% faster issue resolution
VALIDATION DATA

React Admin

Admin framework for React

100,554 stars
217K LOC
57-person team
Real GitHub Metrics:
221K commits/week
442,886 total commits
Has tests + CI
VEMO validation case - real GitHub metrics
VALIDATION DATA

Strapi CMS

Headless CMS framework

62,000 stars
429K LOC
66-person team
Real GitHub Metrics:
199K commits/week
595,909 total commits
Has tests + CI
VEMO validation case - real GitHub metrics
VALIDATION DATA

Cal.com

Open-source scheduling platform

31,000 stars
803K LOC
66-person team
Real GitHub Metrics:
1064K commits/week
1,064,387 total commits
Has tests + CI
VEMO validation case - real GitHub metrics
VALIDATION DATA

Supabase

Open-source Firebase alternative

70,000 stars
1008K LOC
79-person team
Real GitHub Metrics:
High velocity
2,192,964 total commits
Has CI
VEMO validation case - real GitHub metrics
VALIDATION DATA

Docusaurus

Documentation site generator by Meta

55,000 stars
102K LOC
28-person team
Real GitHub Metrics:
43K commits/week
943,477 total commits
Has tests + CI
VEMO validation case - real GitHub metrics

Why These Examples Matter

These are NOT struggling projects. tRPC resolves issues 93% faster than average, React Admin has 100K+ stars, and all projects maintain consistent velocity.

Yet VEMO found $42K in hidden costs for tRPC. This demonstrates that even elite teams have invisible inefficiencies that traditional metrics don't capture.

Imagine the impact on your project. If best-in-class projects have optimization opportunities, what's hiding in your codebase? VEMO reveals these blind spots through three-source validation.

Analyze Your Project

Get the same deep insights for your repository. Start with a 15-minute diagnostic conversation, then optionally connect GitHub and analyze your code for 80-95% confidence.