REPOGEO REPORT · LITE
HengyiWang/spann3r
Default branch main · commit f89d6a23 · scanned 6/20/2026, 11:07:48 PM
GitHub: 1,135 stars · 53 forks
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.
2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).
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 HengyiWang/spann3r, 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.
- highreadme#1Add an explicit introductory sentence to the README
Why:
CURRENT# 3D Reconstruction with Spatial Memory
COPY-PASTE FIX# 3D Reconstruction with Spatial Memory Spann3R is a novel 3D reconstruction framework that leverages spatial memory for improved accuracy and supports both static and dynamic scene reconstruction.
- hightopics#2Expand repository topics with relevant keywords
Why:
CURRENT3d-reconstruction
COPY-PASTE FIX3d-reconstruction, computer-vision, spatial-memory, slam, nerf, photogrammetry, mesh-reconstruction
- mediumlicense#3Clarify the project's license in the README
Why:
COPY-PASTE FIX## License This project is licensed under the terms specified in the [LICENSE](LICENSE) file.
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.
- ORB-SLAM3 · recommended 1×
- COLMAP · recommended 1×
- OpenVSLAM · recommended 1×
- ElasticFusion · recommended 1×
- BundleFusion · recommended 1×
- CATEGORY QUERYWhat are robust 3D reconstruction techniques that leverage spatial memory for improved accuracy?you: not recommendedAI recommended (in order):
- ORB-SLAM3
- COLMAP
- OpenVSLAM
- ElasticFusion
- BundleFusion
- RTAB-Map
- Kimera-VIO/Kimera-SLAM
AI recommended 7 alternatives but never named HengyiWang/spann3r. This is the gap to close.
Show full AI answer
- CATEGORY QUERYSeeking a 3D reconstruction solution offering high accuracy across varied real-world datasets.you: not recommendedAI recommended (in order):
- Agisoft Metashape
- RealityCapture
- COLMAP (colmap/colmap)
- 3DF Zephyr
- Meshroom (alicevision/Meshroom)
- OpenMVG (openMVG/openMVG)
- OpenMVS (cdcseacave/openMVS)
AI recommended 7 alternatives but never named HengyiWang/spann3r. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesspass
- README presencepass
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 HengyiWang/spann3r?passAI named HengyiWang/spann3r explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts HengyiWang/spann3r in production, what risks or prerequisites should they evaluate first?passAI named HengyiWang/spann3r 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 HengyiWang/spann3r solve, and who is the primary audience?passAI named HengyiWang/spann3r 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 HengyiWang/spann3r. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.
[](https://repogeo.com/en/r/HengyiWang/spann3r)<a href="https://repogeo.com/en/r/HengyiWang/spann3r"><img src="https://repogeo.com/badge/HengyiWang/spann3r.svg" alt="RepoGEO" /></a>Subscribe to Pro for deep diagnoses
HengyiWang/spann3r — 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