RRepoGEO

REPOGEO REPORT · LITE

flamegraph-rs/flamegraph

Default branch main · commit 91bb0488 · scanned 5/23/2026, 5:52:06 AM

GitHub: 5,936 stars · 191 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
28 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
2 / 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 flamegraph-rs/flamegraph, 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 identity

    Why:

    CURRENT
    # [cargo-]flamegraph

A Rust-powered flamegraph generator with additional support for Cargo projects! It can be used to profile anything, not just Rust projects! No perl or pipes required <3
    COPY-PASTE FIX
    # flamegraph-rs/flamegraph: The Rust-native `cargo flamegraph` tool

This repository provides `cargo flamegraph`, a Rust-powered flamegraph generator that works for Rust projects and any other binary, without needing Perl or complex piping. It offers a direct, native way to visualize performance bottlenecks.
  • mediumtopics#2
    Expand repository topics for better categorization

    Why:

    CURRENT
    flamegraphs, perf, profiling
    COPY-PASTE FIX
    flamegraphs, perf, profiling, rust, performance-analysis, profiler, observability, system-profiling
  • lowreadme#3
    Add explicit sentence about core differentiator to README

    Why:

    COPY-PASTE FIX
    This tool provides a unified, Rust-native way to simplify generating flame graphs, often combining profiling data collection (using system profilers like `perf` or `dtrace`) and visualization into a single, easy-to-use command, particularly for Rust projects.

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 flamegraph-rs/flamegraph
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
brendangregg/FlameGraph
Recommended in 3 of 2 queries
COMPETITOR LEADERBOARD
  1. brendangregg/FlameGraph · recommended 3×
  2. perf · recommended 2×
  3. jvm-profiling-tools/perf-map-agent · recommended 2×
  4. cargo-flamegraph · recommended 1×
  5. DTrace · recommended 1×
  • CATEGORY QUERY
    How can I visualize performance bottlenecks in my Rust application using flamegraphs?
    you: not recommended
    AI recommended (in order):
    1. cargo-flamegraph
    2. perf
    3. perf-map-agent (jvm-profiling-tools/perf-map-agent)
    4. flamegraph.pl (brendangregg/FlameGraph)
    5. DTrace
    6. stackcollapse.pl (brendangregg/FlameGraph)
    7. Valgrind
    8. callgrind_annotate
    9. gprof2dot
    10. Graphviz dot

    AI recommended 10 alternatives but never named flamegraph-rs/flamegraph. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What's an easy way to generate call stack flamegraphs for any binary without scripting?
    you: not recommended
    AI recommended (in order):
    1. perf-map-agent (jvm-profiling-tools/perf-map-agent)
    2. perf
    3. FlameGraph scripts (brendangregg/FlameGraph)
    4. py-spy (benfred/py-spy)
    5. rbspy (rbspy/rbspy)
    6. go tool pprof
    7. Visual Studio Diagnostic Tools
    8. Xcode Instruments

    AI recommended 8 alternatives but never named flamegraph-rs/flamegraph. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    warn

    Suggestion:

  • 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 flamegraph-rs/flamegraph?
    pass
    AI did not name flamegraph-rs/flamegraph — 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 flamegraph-rs/flamegraph in production, what risks or prerequisites should they evaluate first?
    pass
    AI named flamegraph-rs/flamegraph 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 flamegraph-rs/flamegraph solve, and who is the primary audience?
    pass
    AI named flamegraph-rs/flamegraph explicitly

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

Embed your GEO score

Drop this badge into the README of flamegraph-rs/flamegraph. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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HTML
<a href="https://repogeo.com/en/r/flamegraph-rs/flamegraph"><img src="https://repogeo.com/badge/flamegraph-rs/flamegraph.svg" alt="RepoGEO" /></a>
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flamegraph-rs/flamegraph — 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