RRepoGEO

REPOGEO REPORT · LITE

sk-ruban/notchi

Default branch main · commit 2da7f6ac · scanned 6/10/2026, 8:26:58 AM

GitHub: 910 stars · 64 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface sk-ruban/notchi, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highabout#1
    Clarify the 'About' description to prevent miscategorization

    Why:

    CURRENT
    notch app for claude code & codex
    COPY-PASTE FIX
    Notchi is a macOS desktop utility that provides real-time visual and emotional feedback on Claude Code and Codex AI coding assistant activity in your MacBook's notch.
  • highreadme#2
    Reposition README H1 to explicitly state project type and purpose

    Why:

    CURRENT
    A macOS notch companion that reacts to Claude Code and Codex activity in real-time.
    COPY-PASTE FIX
    Notchi is a unique macOS desktop utility designed to live in your MacBook's notch, providing real-time visual and emotional feedback on your Claude Code and Codex AI coding assistant activity.
  • mediumtopics#3
    Add descriptive topics for better category visibility

    Why:

    CURRENT
    claude-code, codex, swift
    COPY-PASTE FIX
    claude-code, codex, swift, macos-app, desktop-utility, ai-companion, real-time-feedback, notch-bar

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface sk-ruban/notchi
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
BitBar
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. BitBar · recommended 1×
  2. SwiftBar · recommended 1×
  3. GitHub Copilot · recommended 1×
  4. Cursor · recommended 1×
  5. Tabnine · recommended 1×
  • CATEGORY QUERY
    Looking for a macOS utility to visualize AI coding assistant activity in the notch.
    you: not recommended
    AI recommended (in order):
    1. BitBar
    2. SwiftBar
    3. GitHub Copilot
    4. Cursor
    5. Tabnine
    6. iStats Menus
    7. Activity Monitor
    8. Hammerspoon
    9. Xcode

    AI recommended 9 alternatives but never named sk-ruban/notchi. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I get real-time visual feedback from my LLM-powered coding assistant?
    you: not recommended
    AI recommended (in order):
    1. Streamlit (streamlit/streamlit)
    2. Jupyter Notebooks (jupyter/notebook)
    3. JupyterLab (jupyterlab/jupyterlab)
    4. ipywidgets (jupyter-widgets/ipywidgets)
    5. Live Server (ritwickdey/vscode-live-server)
    6. Live Share
    7. Observable Plot (observablehq/plot)
    8. D3.js (d3/d3)
    9. Vite (vitejs/vite)
    10. Parcel (parcel-bundler/parcel)
    11. Replit
    12. CodeSandbox (codesandbox/codesandbox-client)
    13. StackBlitz (stackblitz/core)
    14. Plotly Dash (plotly/dash)

    AI recommended 14 alternatives but never named sk-ruban/notchi. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of sk-ruban/notchi?
    pass
    AI named sk-ruban/notchi explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts sk-ruban/notchi in production, what risks or prerequisites should they evaluate first?
    pass
    AI named sk-ruban/notchi explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo sk-ruban/notchi solve, and who is the primary audience?
    pass
    AI named sk-ruban/notchi explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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sk-ruban/notchi — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite