RRepoGEO

REPOGEO REPORT · LITE

BasedHardware/OpenGlass

Default branch main · commit 19f07775 · scanned 5/18/2026, 4:13:04 AM

GitHub: 4,024 stars · 522 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
22 /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
1 / 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 BasedHardware/OpenGlass, 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
    Convert README to a clear redirect

    Why:

    CURRENT
    ## ℹ️ 🔴 We moved this project to Omi repository. Current repo isn't supported anymore =>
    ## ℹ️ 🔴 We moved this project to Omi repository. Current repo isn't supported anymore =>
    ## ℹ️ 🔴 We moved this project to Omi repository. Current repo isn't supported anymore =>
    
    # OpenGlass - Open Source Smart Glasses
    
    Turn any glasses into hackable smart glasses with less than $25 of off-the-shelf components. Record your life, remember people you meet, identify objects, translate text, and more.
    
    ## Video Demo
    
    [](https://youtu.be/DsM_-c2e1ew)
    
    ## Want a Pre-built Version?
    
    We will ship a limited number of pre-built kits. Fill out the interest form to get notified.
    
    ## Community
    
    Join the Based Hardware Discord for setup questions, contribution guide, and more.
    
    ## Getting Started
    
    Follow these steps to set up OpenGlass:
    
    ### Hardware
    
    1. Gather the required components:
       - Seeed Studio XIAO ESP32 S3 Sense
       - EEMB LP502030 3.7v 250mAH battery
       - 3D printed glasses mount case
    
    2. 3D print the glasses mount case using the provided STL file.
    
    3. Open the firmware folder and open the `.ino` file in the Arduino IDE.
       - If you don't have the Arduino IDE installed, download and install it from the official website.
       - Alternatively, follow the steps in the [firmware readme](firmware/readme.md) to build using `arduino-cli`
    
    4. Follow the software preparation steps to set up the Arduino IDE for the XIAO ESP32S3 board:
       - Add ESP32 board package to your Arduino IDE:
         - Navigate
    COPY-PASTE FIX
    # OpenGlass - Project Moved
    
    This project has moved to the Omi repository. This repository is no longer supported or maintained. Please refer to the new repository for the latest code and information.
  • highabout#2
    Update repository description to reflect project status

    Why:

    CURRENT
    Turn any glasses into AI-powered smart glasses
    COPY-PASTE FIX
    This project has moved to the Omi repository and is no longer supported here. Please see the new repository for details.
  • mediumtopics#3
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    smart-glasses, esp32, ai, wearable-tech, open-source-hardware, diy, augmented-reality

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 BasedHardware/OpenGlass
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Vuzix Blade Upgraded
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Vuzix Blade Upgraded · recommended 1×
  2. North Star (Focals 1.0) Display Module · recommended 1×
  3. Lumus DK-50 · recommended 1×
  4. Sony ECX339A · recommended 1×
  5. eMagin OLED microdisplays · recommended 1×
  • CATEGORY QUERY
    How can I build my own open source smart glasses for AI assistance?
    you: not recommended
    AI recommended (in order):
    1. Vuzix Blade Upgraded
    2. North Star (Focals 1.0) Display Module
    3. Lumus DK-50
    4. Sony ECX339A
    5. eMagin OLED microdisplays
    6. Texas Instruments DLP Pico
    7. Raspberry Pi Zero 2 W
    8. NVIDIA Jetson Nano Developer Kit
    9. Google Coral Dev Board Mini
    10. ESP32-S3-BOX-3
    11. Intel Neural Compute Stick 2
    12. Respeaker 2-Mics Pi HAT
    13. Seeed Studio ReSpeaker 4-Mic Array for Raspberry Pi
    14. InvenSense ICS-43432
    15. Synaptics ClearPad
    16. Adafruit Capacitive Touch Sensor Breakout Boards (MPR121)
    17. Alps SKTA Series Tactile Switches
    18. Pupil Labs Core (pupil-labs/pupil)
    19. Tobii Eye Tracking Modules
    20. Adafruit Bone Conduction Transducer
    21. TDK Haptic/Audio Actuators
    22. Knowles Balanced Armature Speakers
    23. Small Electret Speakers
    24. Adafruit Lithium Ion Polymer Batteries
    25. SparkFun LiPo Batteries
    26. Adafruit PowerBoost 1000C
    27. TP4056 LiPo Charger Module
    28. Pololu Step-Up/Step-Down Regulators
    29. Raspberry Pi OS
    30. Ubuntu
    31. TensorFlow Lite
    32. PyTorch Mobile
    33. OpenCV (opencv/opencv)
    34. Mycroft AI (MycroftAI/mycroft-core)
    35. Rhasspy (rhasspy/rhasspy)
    36. Picovoice
    37. Porcupine (Picovoice/porcupine)
    38. Rhino (Picovoice/rhino)
    39. Python
    40. C++
    41. Prusa i3 MK3S+
    42. Ender 3 V2
    43. Fusion 360
    44. FreeCAD (FreeCAD/FreeCAD)
    45. OpenSCAD (openscad/openscad)
    46. Zemax OpticStudio
    47. LightTools

    AI recommended 47 alternatives but never named BasedHardware/OpenGlass. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What projects allow adding AI capabilities to existing eyeglasses using ESP32?
    you: not recommended
    AI recommended (in order):
    1. OpenMV Cam H7 Plus
    2. STM32H7
    3. TensorFlow Lite Micro
    4. ESP32-S3-EYE Development Board
    5. ESP-DL library
    6. ESP32-CAM
    7. M5Stack Timer Camera X
    8. ArduCAM Mini 2MP Plus
    9. ESP32 DevKitC
    10. ESP32-WROOM-32D
    11. Seeed Studio XIAO ESP32S3 Sense
    12. GC0308
    13. OV2640

    AI recommended 13 alternatives but never named BasedHardware/OpenGlass. 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 BasedHardware/OpenGlass?
    pass
    AI did not name BasedHardware/OpenGlass — 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 BasedHardware/OpenGlass in production, what risks or prerequisites should they evaluate first?
    pass
    AI named BasedHardware/OpenGlass 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 BasedHardware/OpenGlass solve, and who is the primary audience?
    pass
    AI did not name BasedHardware/OpenGlass — 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?

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BasedHardware/OpenGlass — 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
BasedHardware/OpenGlass — RepoGEO report