Over the Reality 🌐
@OVRtheReality · joined 12 May 2019
The world's largest 3D map. Earn $OVR by mapping real-world locations to fuel Robotics, Vision AI, and XR Become a mapper: https://t.co/4XlxLAfAk7
89 404Followers
6 920Following
10 242Posts total
946.2KViews on collected posts
Latest posts
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Imagine building a video game inside a real place.
Capture a large environment with an Insta360 X5, walk through it, and let OVER reconstruct it as a large-scale Gaussian Splat.
Now you have a digital version of that real-world space.
Give it to AI and start building on top of
25.7K views · 279 likes
· 50 reposts · 34 replies
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1:53
@OVRtheReality Keeping the route consistent makes a huge difference. 🔥 Better capture = better reconstruction.
That 5-minute out-and-back approach is definitely worth trying.
38 views · 3 likes
· 0 reposts · 0 replies
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@OVRtheReality Still here asking how value for token holders is generated
90 views · 2 likes
· 0 reposts · 1 replies
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We’ve updated our Insta360 X5 Mapping Guide. 📍
One of the most important changes is simple: keep each mapping session under 10 minutes and return to where you started.
Ideally, walk for around 5 minutes, turn around, and map your way back to the same starting point.
Why? https
48.9K views · 201 likes
· 23 reposts · 19 replies
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1:50
A Gaussian Splat can become a world where Robots and AI agents can act.
In our latest OVER Research experiment, we placed a robot inside a real-world 3D capture, with a VLM making decisions based on what it sees.
At every step, the robot holds a pose in the reconstruction, gets
15.1K views · 82 likes
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0:14
We're proud to announce our partnership with @insta360
By combining Insta360 cameras with OVER's Spatial AI technology, we're making it dramatically easier to capture large real-world environments and transform them into persistent digital twins.
We already put this workflow to
16.3K views · 126 likes
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@OVRtheReality That’s a massive signal. When companies at that level start tapping into OVER’s 3D mapping data, you know the tech is getting real attention.
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5/ And this is just the beginning.
As AI systems start interacting more and more with the physical world, the demand for real-world spatial data will only keep growing.
Huge thanks to the global OVER community that helped build what is now effectively the largest 3D map of the
1.7K views · 35 likes
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3/ Because the next generation of AI systems, including Robotics, AI Agents, Spatial Computing, VPS, and Vision-based foundation models, needs massive amounts of real-world spatial data.
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4/ Seeing one of the largest companies on the planet believe in what we are building and acquire access to this dataset is a huge validation of the direction we chose years ago.
It shows that mapping the physical world at scale is becoming a fundamental layer for the future of
1.8K views · 37 likes
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One of the Top 5 most valuable companies in the world has just acquired a license for Over the Reality 3D mapping dataset to train next-generation vision foundation models.
This is a huge milestone for OVER 🧵👇 https://t.co/0Xy3t2Dwpt
833K views · 274 likes
· 90 reposts · 98 replies
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0:21
2/ Over the last years we have been building the largest crowdsourced spatial datasets of the physical world, mapping cities, streets and indoor spaces across the globe.
192,000+ high quality 3D maps
864TB+ real world spatial data
92.7M+ images
But why does this matter?
1.9K views · 33 likes
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Against accounts of the same size
7 posts from the last 90 days, next to the 10K–100K follower range. shown to more people than peers of the same size.
Median views15 070this account972median for 10K–100K
Reach, %16.86%this account3.58%median for 10K–100K
Engagement, %1.43%this account1.60%median for 10K–100K
| Metric | This account | Median for 10K–100K | Ratio |
|---|---|---|---|
| Median views per post | 15 070 | 972 | 15.5× |
| Reach (views ÷ followers) | 16.86% | 3.58% | 4.71× |
| Engagement rate | 1.43% | 1.60% | 0.89× |
Others in this range → Compare with another account → How these benchmarks are built →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
1.9K12 Mar
833K
1.8K
1.4K
1.7K
191
16.3K25 Aug
15.1K1 Sep
48.9K3 Sep
125
90
38
25.7K15 Sep
Last 13 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
1.76%12 Mar
0.06%
2.08%
2.50%
2.34%
3.14%
1.06%25 Aug
0.82%1 Sep
0.50%3 Sep
3.20%
3.33%
7.89%
1.43%15 Sep
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.60%.
What the audience does
Likes58.7%1 115 in total
Reposts11.2%212 in total
Replies10.4%197 in total
Quotes0.8%15 in total
Bookmarks18.9%359 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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