RRepoGEO

REPOGEO REPORT · LITE

ydf0509/funboost

Default branch master · commit f5267d46 · scanned 6/4/2026, 5:24:03 AM

GitHub: 889 stars · 166 forks

AI VISIBILITY SCORE
35 /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
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 ydf0509/funboost, 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
  • highlicense#1
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected)
    COPY-PASTE FIX
    Create a LICENSE file in the repository root with a standard open-source license (e.g., MIT, Apache-2.0, GPL-3.0).
  • hightopics#2
    Enhance repository topics to improve category visibility

    Why:

    CURRENT
    ack, asyncio, celery, concurrent, distributed, eventlet, gevent, kafka, multiprocessing, nameko, nsq, python, qps, rabbitmq, redis, rocketmq, sqlite, tcp, threading, zeromq
    COPY-PASTE FIX
    Add 'task-queue', 'distributed-tasks', 'function-distribution', 'job-scheduler', 'message-broker-agnostic' to the repository topics.
  • mediumhomepage#3
    Add a homepage URL to the repository About section

    Why:

    COPY-PASTE FIX
    Set the repository homepage URL to https://ydf0509.github.io/funboost_git_pages/

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 ydf0509/funboost
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ray-project/ray
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. ray-project/ray · recommended 1×
  2. dask/distributed · recommended 1×
  3. celery/celery · recommended 1×
  4. irmen/Pyro4 · recommended 1×
  5. grpc/grpc · recommended 1×
  • CATEGORY QUERY
    How to easily distribute python functions across multiple machines with minimal code changes?
    you: not recommended
    AI recommended (in order):
    1. Ray (ray-project/ray)
    2. Dask Distributed (dask/distributed)
    3. Celery (celery/celery)
    4. Pyro4 (irmen/Pyro4)
    5. gRPC (grpc/grpc)
    6. Apache Thrift (apache/thrift)
    7. Joblib (joblib/joblib)

    AI recommended 7 alternatives but never named ydf0509/funboost. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are robust python frameworks for distributed task queues supporting various message brokers?
    you: not recommended
    AI recommended (in order):
    1. Celery
    2. RQ (Redis Queue)
    3. Dramatiq
    4. Huey
    5. Apache Airflow
    6. Luigi

    AI recommended 6 alternatives but never named ydf0509/funboost. 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 ydf0509/funboost?
    pass
    AI named ydf0509/funboost explicitly

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

  • If a team adopts ydf0509/funboost in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ydf0509/funboost 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 ydf0509/funboost solve, and who is the primary audience?
    pass
    AI named ydf0509/funboost 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 ydf0509/funboost. 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/ydf0509/funboost.svg)](https://repogeo.com/en/r/ydf0509/funboost)
HTML
<a href="https://repogeo.com/en/r/ydf0509/funboost"><img src="https://repogeo.com/badge/ydf0509/funboost.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

ydf0509/funboost — 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