Pulse

Developer analytics

Read your GitHub like a fingerprint.

Pulse turns any profile into commit rhythm, language range, repo health, and an ML-classified developer type.

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ka

@kael-aro

github.com/kael-aro

Night Owl
312
commits
9
repos
84
health

Commit rhythm

M
T
W
T
F
S
S

Language range

TypeScript
41%
Python
23%
Rust
16%
Go
11%
0

Developer archetypes

0

Behavioural signals

0

Hour-by-day cells mapped

0-100

Repository health score

Five reads on one profile.

Each signal is computed from raw GitHub activity, then scored and classified. No surveys, no self-reporting.

Commit rhythm

Every commit, plotted by weekday and hour. The grid surfaces the windows you actually ship in: the late nights, the quiet mornings, the weekend pushes.

Commits by hour

M
T
W
T
F
S
S
lessmore

Developer archetype

Seven behavioural features feed a K-Means model that places you in one of five archetypes. Not a quiz: a clustering of how you actually commit.

Cluster map

Night Owl
night ratioconsistencyyou
62%
night commits
28%
weekend share
5
languages

Language range

Every active repository, weighted by bytes, rolled into one breakdown. See whether you go deep on a single stack or spread wide across many.

By share of bytes

41%TypeScript
  • TypeScript41%
  • Python23%
  • Rust16%
  • Go11%
  • Shell9%

Repository health

A weighted composite from 0 to 100 per repo: stars, fork activity, issue resolution, commit recency, and whether a README exists. Signal over noise.

Health score

  • ledger-core
    92
  • atlas-cli
    81
  • drift
    74
  • notes-sync
    58

Productivity trend

Commit volume across the last twelve weeks with a moving average laid over it. Growth, plateaus, and dry spells, without the guesswork.

Commits per week

commitsavg

Live preview

Every read, one dashboard.

This is the report Pulse returns for any GitHub profile. Sample data shown.

pulse.dev/kael-aro
Pulse
ka

@kael-aro

Night Owl

github.com/kael-aro · joined 2019 · 128 followers

Peaks after midnight. Long uninterrupted sessions, late merges.

312
commits analyzed
9
repos
84
avg health
5
languages

Commit rhythm

M
T
W
T
F
S
S
lessmore

Developer archetype

night ratioconsistencyyou
62%
night
28%
weekend
5
langs

Productivity trend

Language range

41%TypeScript
  • TypeScript41%
  • Python23%
  • Rust16%
  • Go11%
  • Shell9%

Repository health

  • ledger-core
    92
  • atlas-cli
    81
  • drift
    74
  • notes-sync
    58

Pulse Badge

Pulse archetype badge for kael-aroSave badge

Pulse Report

Pulse report card
Save report

From username to verdict in one request.

01

Fetch

Pull profile, repos, commit history, and language data straight from the GitHub REST API.

02

Analyze

Extract commit timing, language spread, weekend and night ratios, then score every repository.

03

Classify

Normalize the feature vector and run K-Means to land you in one of five developer archetypes.

Five archetypes. One is yours.

01 / 05
62% of commits land 10pm–4am

Night Owl

Peaks after midnight. Long uninterrupted sessions, late merges.

Built for anyone reading GitHub.

The same analysis serves the person being measured and the person doing the measuring.

Developers

See the habits behind your output. Find your peak windows and the range you actually work in.

Recruiters

Read a candidate beyond surface metrics. Consistency, breadth, and repository health at a glance.

Students

Turn a thin GitHub into a clear story. Show the trajectory, not just the green squares.

Your GitHub already tells a story. Read it.

Type any username. The full breakdown takes a few seconds.

github.com/