RRepoGEO

REPOGEO REPORT · LITE

dmtrKovalenko/fff

Default branch main · commit 6645a68e · scanned 5/18/2026, 4:42:53 PM

GitHub: 6,097 stars · 277 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 dmtrKovalenko/fff, 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 clarify its library nature

    Why:

    CURRENT
    <p>
      <i>A file search toolkit for humans and AI agents. Really fast.</i>
    </p>
    
    Typo-resistant path and content search, frecency-ranked file access, a background watcher, and a lightweight in-memory content index. Way faster than CLIs like ripgrep and fzf in any long-running process that searches more than once.
    
    Originally started as [Neovim plugin](#neovim-plugin) people loved, but it turned out that plenty of AI harnesses and code editors need the same thing: accurate, fast file search as a library. That is what fff is.
    COPY-PASTE FIX
    <p>
      <i>fff is a **file search toolkit designed as a library for embedding** in AI agents, IDEs, and other long-running processes.</i>
    </p>
    
    It offers typo-resistant path and content search, frecency-ranked file access, a background watcher, and a lightweight in-memory content index, consistently outperforming CLIs like ripgrep and fzf when integrated into applications that search more than once.
  • mediumtopics#2
    Expand topics to reflect target audience and library type

    Why:

    CURRENT
    filesearch, lua, neovim, neovim-plugin, rust
    COPY-PASTE FIX
    filesearch, lua, neovim, neovim-plugin, rust, ai-agents, code-editors, embedded-search, search-library
  • lowreadme#3
    Add a dedicated comparison section to the README

    Why:

    COPY-PASTE FIX
    Add a new section to the README, e.g., 'Comparison to other search tools', that explicitly contrasts fff with both traditional CLIs like ripgrep/fzf (highlighting its library nature and performance in long-running processes) and full-text search engines like Elasticsearch/Solr (clarifying its focus on file system search for embedding).

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 dmtrKovalenko/fff
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Whoosh
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Whoosh · recommended 2×
  2. Apache Lucene · recommended 2×
  3. Elasticsearch · recommended 1×
  4. Apache Solr · recommended 1×
  5. OpenSearch · recommended 1×
  • CATEGORY QUERY
    How to implement extremely fast and accurate file content search for an AI agent?
    you: not recommended
    AI recommended (in order):
    1. Elasticsearch
    2. Apache Solr
    3. OpenSearch
    4. PostgreSQL
    5. pg_trgm
    6. Whoosh
    7. Apache Lucene
    8. Faiss
    9. Sentence-BERT

    AI recommended 9 alternatives but never named dmtrKovalenko/fff. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a library for efficient file system search, faster than ripgrep or fzf for IDEs.
    you: not recommended
    AI recommended (in order):
    1. Locate32
    2. updatedb
    3. locate
    4. Everything
    5. Recoll
    6. Apache Lucene
    7. Lucene.NET
    8. Whoosh
    9. SQLite FTS5

    AI recommended 9 alternatives but never named dmtrKovalenko/fff. 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 dmtrKovalenko/fff?
    pass
    AI named dmtrKovalenko/fff explicitly

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

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

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

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dmtrKovalenko/fff — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite
dmtrKovalenko/fff — RepoGEO report