RRepoGEO

REPOGEO REPORT · LITE

TM9657/flow-like

Default branch dev · commit 666c6125 · scanned 6/17/2026, 2:21:59 PM

GitHub: 900 stars · 71 forks

AI VISIBILITY SCORE
33 /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
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 TM9657/flow-like, 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 H1 to specify the core category

    Why:

    CURRENT
    <h1 align="center">Flow-Like</h1>
    COPY-PASTE FIX
    <h1 align="center">Flow-Like: Self-Hosted Visual Workflow Automation Platform</h1>
  • mediumreadme#2
    Clarify the project's license in the README

    Why:

    COPY-PASTE FIX
    ## License
This project is licensed under [Specify License Name(s) here, e.g., "a custom license combining Apache 2.0 and MIT terms"]. See the [LICENSE](LICENSE) file for full details.
  • lowreadme#3
    Add a 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    ## Comparison
Flow-Like stands apart from traditional data transformation libraries like Lodash/fp or state management solutions by offering a complete, self-hosted visual workflow automation platform. Unlike cloud-based services or complex enterprise suites like Camunda Platform or Apache Airflow, Flow-Like prioritizes local execution, strong typing, and transparent data flow without cloud dependencies, making it ideal for sensitive enterprise applications requiring full control and traceability.

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 TM9657/flow-like
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Camunda Platform
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Camunda Platform · recommended 1×
  2. apache/airflow · recommended 1×
  3. Astronomer Astro SDK · recommended 1×
  4. mlflow/mlflow · recommended 1×
  5. OpenAI's API · recommended 1×
  • CATEGORY QUERY
    What are the best self-hosted visual workflow automation platforms for enterprise applications?
    you: not recommended
    AI recommended (in order):
    1. Camunda Platform

    AI recommended 1 alternative but never named TM9657/flow-like. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a strongly typed workflow engine with AI agent integration for scalable data pipelines.
    you: not recommended
    AI recommended (in order):
    1. Apache Airflow (apache/airflow)
    2. Astronomer Astro SDK
    3. MLflow (mlflow/mlflow)
    4. OpenAI's API
    5. Google Cloud AI Platform
    6. Prefect 2.0 (PrefectHQ/prefect)
    7. Pydantic (pydantic/pydantic)
    8. Dagster (dagster-io/dagster)
    9. Kedro (kedro-org/kedro)
    10. Kubeflow (kubeflow/kubeflow)
    11. AWS Step Functions
    12. Azure Data Factory
    13. Google Cloud Dataflow
    14. Azure Functions
    15. Databricks
    16. Apache Beam (apache/beam)

    AI recommended 16 alternatives but never named TM9657/flow-like. 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 TM9657/flow-like?
    pass
    AI did not name TM9657/flow-like — 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 TM9657/flow-like in production, what risks or prerequisites should they evaluate first?
    pass
    AI named TM9657/flow-like 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 TM9657/flow-like solve, and who is the primary audience?
    pass
    AI named TM9657/flow-like 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 TM9657/flow-like. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/TM9657/flow-like.svg)](https://repogeo.com/en/r/TM9657/flow-like)
HTML
<a href="https://repogeo.com/en/r/TM9657/flow-like"><img src="https://repogeo.com/badge/TM9657/flow-like.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

TM9657/flow-like — 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