RRepoGEO

REPOGEO REPORT · LITE

gi-dellav/zerostack

Default branch main · commit 7940f4d8 · scanned 7/1/2026, 4:16:58 PM

GitHub: 1,380 stars · 109 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
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 gi-dellav/zerostack, 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's opening paragraph to explicitly counter miscategorization

    Why:

    CURRENT
    # zerostack Minimal coding agent written in Rust, inspired by pi and opencode.
    COPY-PASTE FIX
    # zerostack: A Rust-Native, Lightweight AI Coding Agent
Zerostack is a self-contained, terminal-based AI assistant for developers, optimized for local execution and memory efficiency. Unlike web frameworks or FaaS platforms, it provides a powerful, configurable agent for automating coding tasks without relying on cloud services.
  • mediumreadme#2
    Add a dedicated 'Why Zerostack?' section to highlight unique value

    Why:

    COPY-PASTE FIX
    ## Why Zerostack?
Zerostack stands out as a coding agent built from the ground up in Rust, offering unparalleled performance and a minimal memory footprint. It's ideal for developers seeking a powerful, self-hosted AI assistant with extensive multi-LLM provider support, a rich terminal UI, and fine-grained control over agent permissions and session management.
  • lowcomparison#3
    Create a 'Comparison' section to differentiate from similar tools

    Why:

    COPY-PASTE FIX
    ## Comparison to Alternatives
Add a brief explanation of how `zerostack` differs from common coding assistants (e.g., OpenDevin, Smol-Developer) by emphasizing its Rust-native performance, terminal-first design, and self-hosted focus. Clarify that it is not an IDE or linter like Tabby or rust-analyzer.

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 gi-dellav/zerostack
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Tabby
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Tabby · recommended 1×
  2. CodeGeeX · recommended 1×
  3. rust-analyzer · recommended 1×
  4. Lapce · recommended 1×
  5. OpenDevin · recommended 1×
  • CATEGORY QUERY
    Seeking a lightweight AI coding assistant written in Rust for local development tasks.
    you: not recommended
    AI recommended (in order):
    1. Tabby
    2. CodeGeeX
    3. rust-analyzer
    4. Lapce

    AI recommended 4 alternatives but never named gi-dellav/zerostack. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are efficient, self-hosted coding agents with multi-LLM provider support and terminal UI?
    you: not recommended
    AI recommended (in order):
    1. OpenDevin
    2. Smol-AI/Smol-Developer (Smol-AI/Smol-Developer)
    3. GPT-Engineer
    4. AgentGPT
    5. AutoGPT
    6. LangChain Agents

    AI recommended 6 alternatives but never named gi-dellav/zerostack. 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 gi-dellav/zerostack?
    pass
    AI named gi-dellav/zerostack explicitly

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

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

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

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gi-dellav/zerostack — 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