RRepoGEO

REPOGEO REPORT · LITE

Dicklesworthstone/agentic_coding_flywheel_setup

Default branch main · commit 61ad9a8a · scanned 6/27/2026, 2:47:09 AM

GitHub: 1,520 stars · 177 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)

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

AI VISIBILITY SCORE
27 /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
1 / 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 Dicklesworthstone/agentic_coding_flywheel_setup, 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 README opening to emphasize AI environment bootstrapping

    Why:

    CURRENT
    > **From zero to fully-configured agentic coding VPS in 30 minutes.**
> A complete bootstrapping system that transforms a fresh Ubuntu VPS into a professional AI-powered development environment.
    COPY-PASTE FIX
    **Instantly provision a complete multi-agent AI development environment on any Ubuntu VPS.** This bootstrapping system transforms a fresh Ubuntu VPS into a professional AI-powered coding setup in 30 minutes, including coding agents, session management, safety tools, and coordination infrastructure.
  • mediumtopics#2
    Expand topics to include specific setup and environment keywords

    Why:

    CURRENT
    agentic-ai, agentic-workflow, agentmail, beads, bv
    COPY-PASTE FIX
    agentic-ai, agentic-workflow, agentmail, beads, bv, vps-setup, ai-development-environment, bootstrapping, automation-script, multi-agent-system, ubuntu-setup, dev-environment
  • lowlicense#3
    Clarify the project's license in the README

    Why:

    COPY-PASTE FIX
    Add a section to the README, perhaps under a 'License' heading, stating: 'This project is licensed under [Specify License Name(s) here, e.g., a custom license, or a combination of X and Y]. Please see the `LICENSE` file for full details.'

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 Dicklesworthstone/agentic_coding_flywheel_setup
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
DigitalOcean
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. DigitalOcean · recommended 1×
  2. Vultr High Frequency Compute · recommended 1×
  3. Linode · recommended 1×
  4. AWS EC2 · recommended 1×
  5. Google Cloud Compute Engine · recommended 1×
  • CATEGORY QUERY
    How to quickly provision a VPS for a multi-agent AI coding environment?
    you: not recommended
    AI recommended (in order):
    1. DigitalOcean
    2. Vultr High Frequency Compute
    3. Linode
    4. AWS EC2
    5. Google Cloud Compute Engine

    AI recommended 5 alternatives but never named Dicklesworthstone/agentic_coding_flywheel_setup. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a script to automate setting up an agentic workflow development server.
    you: not recommended
    AI recommended (in order):
    1. Docker Compose
    2. Ansible (ansible/ansible)
    3. Python venv
    4. Poetry (python-poetry/poetry)
    5. Nix (NixOS/nix)

    AI recommended 5 alternatives but never named Dicklesworthstone/agentic_coding_flywheel_setup. 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 Dicklesworthstone/agentic_coding_flywheel_setup?
    pass
    AI did not name Dicklesworthstone/agentic_coding_flywheel_setup — likely talking about a different project

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

  • If a team adopts Dicklesworthstone/agentic_coding_flywheel_setup in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Dicklesworthstone/agentic_coding_flywheel_setup 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 Dicklesworthstone/agentic_coding_flywheel_setup solve, and who is the primary audience?
    pass
    AI did not name Dicklesworthstone/agentic_coding_flywheel_setup — likely talking about a different project

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

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Dicklesworthstone/agentic_coding_flywheel_setup — 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