RRepoGEO

REPOGEO REPORT · LITE

Nano-Collective/nanocoder

Default branch main · commit 0770d168 · scanned 5/11/2026, 11:17:18 PM

GitHub: 1,881 stars · 173 forks

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 Nano-Collective/nanocoder, 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 H1 and opening paragraph to clarify core purpose and disambiguate 'Nano'

    Why:

    CURRENT
    # Nanocoder

A local-first CLI coding agent built by the Nano Collective — a community collective building AI tooling not for profit, but for the community.
    COPY-PASTE FIX
    # Nanocoder: Your Local-First AI Coding Agent for the Terminal

Nanocoder is a powerful, local-first AI coding agent designed for your terminal. Built by the Nano Collective, it brings agentic coding capabilities, similar to Claude Code or Gemini CLI, to local models and controlled APIs like OpenRouter. This project is focused on AI development, not cryptocurrency.
  • mediumreadme#2
    Add a clear statement about the project's license to the README

    Why:

    COPY-PASTE FIX
    ## License

This project is licensed under [insert specific license name(s) here, e.g., "a custom license combining MIT and Apache-2.0 terms"]. Please see the [LICENSE file](LICENSE) for full details.
  • lowcomparison#3
    Add a 'Comparison to Alternatives' section in the README

    Why:

    COPY-PASTE FIX
    ## Comparison to Alternatives

Nanocoder differentiates itself from tools like GitHub Copilot CLI, Aider, and Continue by focusing on local-first operation, community-driven development, and explicit support for various local LLMs and controlled APIs like OpenRouter, prioritizing privacy and user control. Unlike some alternatives, Nanocoder is built from the ground up to be transparent and extensible by its community.

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 Nano-Collective/nanocoder
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
github/gh-copilot
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. github/gh-copilot · recommended 1×
  2. withfig/fig · recommended 1×
  3. TheRensselaerIRA/ShellGPT · recommended 1×
  4. paul-gauthier/aider · recommended 1×
  5. Exafunction/codeium · recommended 1×
  • CATEGORY QUERY
    How can I use an AI coding assistant directly from my command line?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot CLI (github/gh-copilot)
    2. Fig AI (withfig/fig)
    3. ShellGPT (TheRensselaerIRA/ShellGPT)
    4. Aider (paul-gauthier/aider)
    5. Codeium CLI (Exafunction/codeium)
    6. OpenAI API
    7. Google Gemini API

    AI recommended 7 alternatives but never named Nano-Collective/nanocoder. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a terminal-based AI coding tool that supports local LLMs and various APIs.
    you: not recommended
    AI recommended (in order):
    1. Continue
    2. Cursor
    3. Smol-AI
    4. aider
    5. CodeGPT

    AI recommended 5 alternatives but never named Nano-Collective/nanocoder. 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 Nano-Collective/nanocoder?
    pass
    AI named Nano-Collective/nanocoder explicitly

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

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

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

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Nano-Collective/nanocoder — 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