RRepoGEO

REPOGEO REPORT · LITE

tinyfish-io/bigset

Default branch main · commit 71e32ce4 · scanned 6/6/2026, 6:03:18 PM

GitHub: 1,056 stars · 105 forks

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 tinyfish-io/bigset, 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's core value proposition as an H1

    Why:

    CURRENT
    <p align="center">
  <strong>Build and maintain any dataset from the live web, that refreshes regularly</strong>
</p>
    COPY-PASTE FIX
    <h1>BigSet: Autonomous Web Data Collection Engine</h1>
<p><strong>Build and maintain any structured dataset from the live web, that refreshes regularly.</strong></p>
  • mediumtopics#2
    Update repository topics with category-specific keywords

    Why:

    CURRENT
    bigset, open-source, tinyfish
    COPY-PASTE FIX
    web-data-collection, dataset-builder, autonomous-agents, data-extraction, no-code, ai-powered, web-scraping, data-pipelines, structured-data
  • lowabout#3
    Update repository description to be more specific

    Why:

    CURRENT
    What if you had all the data in the world?
    COPY-PASTE FIX
    Build and maintain any structured dataset from the live web using autonomous agents, without manual scraping.

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 tinyfish-io/bigset
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Apify
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Apify · recommended 2×
  2. Octoparse · recommended 2×
  3. ParseHub · recommended 2×
  4. Scrapy · recommended 1×
  5. Beautiful Soup · recommended 1×
  • CATEGORY QUERY
    How can I automatically gather and maintain structured datasets from the live web?
    you: not recommended
    AI recommended (in order):
    1. Scrapy
    2. Beautiful Soup
    3. requests
    4. Apify
    5. Puppeteer
    6. Playwright
    7. Airflow
    8. Prefect
    9. Dagster
    10. Octoparse
    11. ParseHub

    AI recommended 11 alternatives but never named tinyfish-io/bigset. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools autonomously build and refresh web-sourced datasets without manual scraping?
    you: not recommended
    AI recommended (in order):
    1. Apify
    2. Bright Data
    3. ScrapingBee
    4. Octoparse
    5. ParseHub
    6. Zyte
    7. Datahut

    AI recommended 7 alternatives but never named tinyfish-io/bigset. 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 tinyfish-io/bigset?
    pass
    AI did not name tinyfish-io/bigset — 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 tinyfish-io/bigset in production, what risks or prerequisites should they evaluate first?
    pass
    AI named tinyfish-io/bigset 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 tinyfish-io/bigset solve, and who is the primary audience?
    pass
    AI named tinyfish-io/bigset 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 tinyfish-io/bigset. 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/tinyfish-io/bigset.svg)](https://repogeo.com/en/r/tinyfish-io/bigset)
HTML
<a href="https://repogeo.com/en/r/tinyfish-io/bigset"><img src="https://repogeo.com/badge/tinyfish-io/bigset.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

tinyfish-io/bigset — 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