A GitHub-Based Learning Analytics System for Analysing Entrepreneurial Learning Behaviour in Software Product Development GitHub-Based Learning Analytics Dashboard
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AnannyaSingh-ana/ai-startup-consultant

Multi-agent AI startup consultant built with CrewAI, FastAPI, Next.js, PostgreSQL, GPT-4o, and Serper for startup idea validation.

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Experimentation Intensity Score

N/A

A single, comparable figure that combines engagement, regularity, issue refinement and integration into one view of a repository's development activity — calculated fresh relative to every other repository currently in the database, so scores stay meaningful as more repositories are added.

00.51EngagementCommit frequency and active-day ratio: how much sustained iterative effort is recorded.N/ARegularityCommit interval variability and longest inactivity gap: how evenly spaced activity is.N/AIssue RefinementIssue closure rate, comments per issue and resolution time: problem follow-through.N/AIntegrationPR merge rate, reviewed-PR ratio and cycle time: structured collaboration and review.N/A
How is this calculated, and why did I get this score?
Why you got this score
None of the four behavioural dimensions could be calculated for this repository yet, so no overall score is available. Add more commit, issue or pull-request activity and check back.
How it's calculated
Each dimension is min–max normalised against every repository currently in the database (reverse-coded where a lower raw value is the stronger pattern), then the applicable dimensions are averaged and scaled to 0–100.
What it represents
One comparable figure for how much iterative, structured development activity a repository shows — not code quality or project success.
How to interpret it
It's relative to whatever repositories are currently stored, so treat it as a within-this-dataset ranking aid, not a universal benchmark.
How to use it
Compare repositories side by side, and check the four dimension scores and metric cards below for the evidence behind the number. Full explanation →

Commit activity

Feeds into: Engagement & Regularity

Commit frequency
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Active-day ratio
N/A
Commit interval variability
N/A
Longest inactivity gap
N/A

Issue activity

Feeds into: Issue Refinement

Total issues
0
Issue closure rate
N/A
Mean comments per issue
N/A
Mean issue resolution time
N/A

Pull request activity

Feeds into: Integration

Total pull requests
0
Merge rate
N/A
Reviewed PR ratio
N/A
Mean PR cycle time
N/A

Commit activity over time

No commit data

Learning Quality Indicator

No repository text available for classification.