RRepoGEO

REPOGEO REPORT · LITE

hatchet-dev/hatchet

Default branch main · commit 7d069122 · scanned 5/8/2026, 11:56:40 AM

GitHub: 7,102 stars · 372 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 hatchet-dev/hatchet, 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
  • highabout#1
    Clarify the repository description to prevent miscategorization

    Why:

    CURRENT
    🪓 An orchestration engine for background tasks, AI agents, and durable workflows
    COPY-PASTE FIX
    🪓 Hatchet is a robust orchestration engine for building reliable background tasks, AI agents, and durable workflows in distributed systems.
  • highreadme#2
    Explicitly state Hatchet's core category in the README's opening section

    Why:

    CURRENT
    Hatchet is a platform for orchestrating background tasks, AI agents, and durable workflows at scale. It supports applications written in Python, TypeScript, Go and Ruby, and can be used as a service through Hatchet Cloud or self-hosting. Hatchet provides a full platform for queuing, automatic retries, durability, real-time monitoring, alerting, and logging.
    COPY-PASTE FIX
    Hatchet is a **distributed workflow engine and robust background task queue** designed for orchestrating complex background tasks, AI agents, and durable workflows at scale. It provides a full platform for queuing, automatic retries, durability, real-time monitoring, alerting, and logging, supporting applications written in Python, TypeScript, Go, and Ruby.
  • mediumcomparison#3
    Add a 'Comparison to Alternatives' section in the README

    Why:

    COPY-PASTE FIX
    Add a new section to the README titled 'Comparison to Alternatives' or 'Why Hatchet?' that explicitly compares Hatchet to Temporal, Cadence, Celery, and Airflow, highlighting its strengths for specific use cases (e.g., AI agents, developer experience, language support).

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 hatchet-dev/hatchet
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Temporal
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Temporal · recommended 1×
  2. Cadence · recommended 1×
  3. Celery · recommended 1×
  4. Redis · recommended 1×
  5. RabbitMQ · recommended 1×
  • CATEGORY QUERY
    How to build robust, distributed background task queues with durable execution for Python?
    you: not recommended
    AI recommended (in order):
    1. Temporal
    2. Cadence
    3. Celery
    4. Redis
    5. RabbitMQ
    6. Flower
    7. RQ
    8. Prefect
    9. Apache Airflow
    10. CeleryExecutor
    11. KubernetesExecutor

    AI recommended 11 alternatives but never named hatchet-dev/hatchet. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need an event-driven workflow engine to manage long-running distributed AI agent processes.
    you: not recommended
    AI recommended (in order):
    1. Temporal (temporalio/temporal)
    2. Cadence (uber/cadence)
    3. Apache Airflow (apache/airflow)
    4. AWS Step Functions
    5. Netflix Conductor (Netflix/conductor)

    AI recommended 5 alternatives but never named hatchet-dev/hatchet. 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 hatchet-dev/hatchet?
    pass
    AI named hatchet-dev/hatchet explicitly

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

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

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

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite