REPOGEO REPORT · LITE

xtreme1-io/xtreme1

Default branch main · commit 4de80cb0 · scanned 5/10/2026, 2:01:21 AM

GitHub: 1,188 stars · 206 forks

AI VISIBILITY SCORE

40 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

2 pass · 0 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 xtreme1-io/xtreme1, 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

Rephrase the 'No Longer Maintained' warning

Why:

CURRENT

> [!WARNING]
> **Project Status: No Longer Maintained**
> The development team for this project has disbanded, and this repository is no longer being actively developed or supported. The code is remains available for archival purposes; feel free to fork it if you wish to continue its development.

COPY-PASTE FIX

> [!NOTE]
> **Project Status: Community-Maintained & Archival**
> While active development by the original team has ceased, this repository remains a valuable open-source foundation for multimodal data annotation. The code is available for archival purposes, and we encourage community contributions and forks to continue its development and adaptation for new use cases.

mediumreadme#2

Clarify the relationship with the Enterprise Version

Why:

CURRENT

Check the Enterprise Version here 🎉 Request Demo for Free.

COPY-PASTE FIX

Note: The enterprise version of Xtreme1, developed by Basic.ai, continues to be actively maintained and offers commercial support and additional features. This open-source repository serves as the foundation for community exploration and self-hosting.

lowreadme#3

Add a concise 'Why Xtreme1?' section

Why:

COPY-PASTE FIX

## Why Xtreme1?
Xtreme1 stands out for its comprehensive, open-source support for multimodal data, including advanced 3D LiDAR point cloud, image, and LLM annotation. It offers a robust, self-hostable platform ideal for complex computer vision and AI projects requiring detailed 2D/3D object detection, segmentation, and LiDAR-Camera Fusion capabilities.

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 xtreme1-io/xtreme1

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

CVAT (Computer Vision Annotation Tool)

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

CVAT (Computer Vision Annotation Tool) · recommended 2×
3D Bounding Box Annotation Tool (3D-BAT) · recommended 1×
OpenLabeling · recommended 1×
Label Studio · recommended 1×
SUSTechPOINTS · recommended 1×

CATEGORY QUERY
What open-source tools are available for annotating multimodal data, including LiDAR and images?
you: not recommended
AI recommended (in order):
1. 3D Bounding Box Annotation Tool (3D-BAT)
2. CVAT (Computer Vision Annotation Tool)
3. OpenLabeling
4. Label Studio
5. SUSTechPOINTS
6. Annotorious
AI recommended 6 alternatives but never named xtreme1-io/xtreme1. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Looking for a comprehensive platform to manage and label training data for computer vision models.
you: not recommended
AI recommended (in order):
1. Labelbox
2. Scale AI
3. V7
4. SuperAnnotate
5. CVAT (Computer Vision Annotation Tool)
6. Roboflow
AI recommended 6 alternatives but never named xtreme1-io/xtreme1. This is the gap to close.
Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

Metadata completeness
pass
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 xtreme1-io/xtreme1?
pass
AI named xtreme1-io/xtreme1 explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts xtreme1-io/xtreme1 in production, what risks or prerequisites should they evaluate first?
pass
AI named xtreme1-io/xtreme1 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 xtreme1-io/xtreme1 solve, and who is the primary audience?
pass
AI named xtreme1-io/xtreme1 explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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MARKDOWN (README)

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HTML

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Brand-free category queries5 vs 2 in Lite
Prioritized action items8 vs 3 in Lite