RRepoGEO

REPOGEO REPORT · LITE

datascale-ai/inksight

Default branch main · commit f56e8caa · scanned 6/8/2026, 5:07:06 AM

GitHub: 546 stars · 91 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 datascale-ai/inksight, 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 project's core identity

    Why:

    CURRENT
    # InkSight
    COPY-PASTE FIX
    # InkSight: A Calm E-Ink Desk Companion
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    e-ink, esp32, embedded, iot, desk-companion, ambient-display, web-flasher, e-paper, firmware
  • mediumreadme#3
    Strengthen the README's opening paragraph to explicitly state the project type

    Why:

    CURRENT
    InkSight turns a small e-ink screen into a quiet, always-visible information surface for your desk. Instead of another glowing notification feed, it gives you useful, beautiful, and customizable content in a paper-like form.
    COPY-PASTE FIX
    InkSight is an open-source firmware and web platform that transforms a small e-ink screen into a quiet, always-visible information surface for your desk. Unlike another glowing notification feed, this e-paper project provides useful, beautiful, and customizable content in a paper-like form.

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 datascale-ai/inksight
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ESP-IDF
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. ESP-IDF · recommended 2×
  2. Arduino · recommended 2×
  3. OpenEPaperLink · recommended 1×
  4. MagicMirror² · recommended 1×
  5. GxEPD2 · recommended 1×
  • CATEGORY QUERY
    What are good open source e-ink display projects for ambient desk information?
    you: not recommended
    AI recommended (in order):
    1. OpenEPaperLink
    2. MagicMirror²
    3. ESP-IDF
    4. Arduino
    5. GxEPD2
    6. Pimoroni Inky pHAT
    7. Pimoroni Inky wHAT
    8. Pimoroni Inky Impression
    9. Home Assistant
    10. ESPHome

    AI recommended 10 alternatives but never named datascale-ai/inksight. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to build a custom e-paper dashboard with web configuration and multiple modes?
    you: not recommended
    AI recommended (in order):
    1. ESP32
    2. ESP-IDF
    3. Waveshare e-Paper Display
    4. esp_http_server
    5. MicroPython
    6. webrepl
    7. microdot
    8. picoweb
    9. Raspberry Pi Zero W
    10. Waveshare e-Paper HAT
    11. Flask
    12. Django
    13. Node.js
    14. ESP8266
    15. NodeMCU firmware
    16. Arduino
    17. ESP32 Wi-Fi module
    18. ESP8266 Wi-Fi module
    19. Arduino Uno
    20. Arduino Nano
    21. Arduino Mega
    22. ESP-01
    23. ESP-12E/F

    AI recommended 23 alternatives but never named datascale-ai/inksight. 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 datascale-ai/inksight?
    pass
    AI did not name datascale-ai/inksight — 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 datascale-ai/inksight in production, what risks or prerequisites should they evaluate first?
    pass
    AI named datascale-ai/inksight 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 datascale-ai/inksight solve, and who is the primary audience?
    pass
    AI named datascale-ai/inksight explicitly

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

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