RRepoGEO

REPOGEO REPORT · LITE

dexmal/realtime-vla

Default branch main · commit b86a942a · scanned 6/10/2026, 8:53:21 AM

GitHub: 567 stars · 41 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
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 dexmal/realtime-vla, 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 README's opening to clarify VLM robotics focus

    Why:

    CURRENT
    # Running VLA in Real Time (Pi0 + Pi05 + DM0)

This project provides accelerated inference kernels of **Pi0 and Pi05** models from the OpenPI project.
    COPY-PASTE FIX
    # Running VLA in Real Time for Robotic Manipulation (Pi0 + Pi05 + DM0)

This project provides accelerated inference kernels for **real-time Visual Language Model (VLM) inference in robotic manipulation tasks**, specifically focusing on **Pi0, Pi05, and DM0 models** from the OpenPI project. Achieve sub-200ms end-to-end latency for tasks like catching falling objects, leveraging 30 FPS inference.
  • hightopics#2
    Add specific and descriptive topics

    Why:

    CURRENT
    4090, pi0, real-time, vla
    COPY-PASTE FIX
    robotics, visual-language-models, vlm, real-time-inference, low-latency, robotic-manipulation, pi0, pi05, dm0, triton, computer-vision
  • mediumhomepage#3
    Add a homepage URL

    Why:

    COPY-PASTE FIX
    https://your-project-website.com/realtime-vla

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 dexmal/realtime-vla
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenVINO Toolkit
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenVINO Toolkit · recommended 2×
  2. ONNX Runtime · recommended 2×
  3. TensorFlow Lite · recommended 2×
  4. TensorRT · recommended 1×
  5. TorchScript · recommended 1×
  • CATEGORY QUERY
    How to achieve real-time visual language model inference for robotic manipulation tasks?
    you: not recommended
    AI recommended (in order):
    1. OpenVINO Toolkit
    2. TensorRT
    3. ONNX Runtime
    4. TorchScript
    5. TensorFlow Lite
    6. DeepSparse

    AI recommended 6 alternatives but never named dexmal/realtime-vla. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools enable high frame rate and low latency visual language model processing?
    you: not recommended
    AI recommended (in order):
    1. NVIDIA TensorRT
    2. OpenVINO Toolkit
    3. ONNX Runtime
    4. TorchServe
    5. TensorFlow Lite
    6. DeepStream SDK

    AI recommended 6 alternatives but never named dexmal/realtime-vla. 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 dexmal/realtime-vla?
    pass
    AI did not name dexmal/realtime-vla — 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 dexmal/realtime-vla in production, what risks or prerequisites should they evaluate first?
    pass
    AI named dexmal/realtime-vla 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 dexmal/realtime-vla solve, and who is the primary audience?
    pass
    AI named dexmal/realtime-vla explicitly

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

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dexmal/realtime-vla — 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