RRepoGEO

REPOGEO REPORT · LITE

nirholas/fresh-start

Default branch clean-start · commit 0252b1cc · scanned 5/18/2026, 5:52:44 AM

GitHub: 6,299 stars · 8 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
25 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
0 pass · 1 warn · 1 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 nirholas/fresh-start, 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
  • highreadme#1
    Reposition the README to clearly state the repo's purpose

    Why:

    CURRENT
    # Fresh Start
    COPY-PASTE FIX
    # Fresh Start

This repository provides a scripted, comprehensive, and opinionated approach to resetting a macOS developer's user environment to a clean state without requiring a full operating system reinstallation.
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    macos, developer-tools, environment-setup, reset-tool, scripting
  • highlicense#3
    Add a LICENSE file to clarify usage terms

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Add a standard open-source license file (e.g., MIT, Apache-2.0, GPL-3.0) to the repository root.

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 nirholas/fresh-start
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. LlamaIndex · recommended 1×
  3. Hugging Face Transformers · recommended 1×
  4. OpenAI Python Library · recommended 1×
  5. Guidance · recommended 1×
  • CATEGORY QUERY
    What are the best open-source libraries for generating code with large language models?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Hugging Face Transformers
    4. OpenAI Python Library
    5. Guidance
    6. Instructor

    AI recommended 6 alternatives but never named nirholas/fresh-start. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I integrate an AI coding assistant into my existing development environment?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. Tabnine
    3. Codeium
    4. Amazon CodeWhisperer
    5. JetBrains AI Assistant
    6. Cursor
    7. Continue (Continue-team/continue)

    AI recommended 7 alternatives but never named nirholas/fresh-start. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    Suggestion:

  • README presence
    warn

    Suggestion:

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 nirholas/fresh-start?
    pass
    AI named nirholas/fresh-start explicitly

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

  • If a team adopts nirholas/fresh-start in production, what risks or prerequisites should they evaluate first?
    pass
    AI named nirholas/fresh-start 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 nirholas/fresh-start solve, and who is the primary audience?
    pass
    AI named nirholas/fresh-start explicitly

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

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nirholas/fresh-start — 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