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Niantic Spatial ๐ŸŒŽ engagement report

@NianticSpatial - 956K followers on X

Measured over 19 original posts from a 30-day window, last computed on October 14, 2026.

Engagement

Bottom quarter for its size
Per follower
0.003%
of 956K followers
Per impression
0.173%
17K views on a typical post
Reach
1.81%
of its followers see a post
Typical post
30
interactions (median)
Saved
0.023%
4 bookmarks on a typical post
Posting rate
0.8/day
active 53% of days
Peak time
15:00 UTC
Friday

A typical post picks up 30 interactions against 956K followers, an engagement rate of 0.003%. Measured over 19 original posts, its engagement rate beats 20% of 20,444 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 17K times each, and 0.173% of those impressions turn into an interaction. That is about 1.81% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.8 post a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 15:00 UTC, and Friday is the busiest day of the week. Of the 19 posts sampled, 100% carry an image or video and 100% link out. The account's strongest tracked post pulled 1.1K interactions, about 35x its own typical post. Recurring topics include #aes2026, #physicalai, #embodiedai.

Measured over 19 original posts from a 30-day window, last computed on October 14, 2026. Recurring tags: #aes2026, #physicalai, #embodiedai.

Compared with accounts its own size

Niantic Spatial ๐ŸŒŽ's engagement rate beats 20% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 10 of 10)). A percentile is spread evenly by construction, so 50 really is the middle of that group and 90 really is its top tenth.

On engagement per impression rather than per follower it beats 12% of the same group. When those two numbers disagree, the gap is about how far its posts travel rather than how people react to them.

Where this sits in the catalog

At 0.003%, Niantic Spatial ๐ŸŒŽ sits below the 10th percentile of the 205,374 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,374 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,897 times apart and a linear axis would flatten everything below the median into a single point.
Show the percentile table
Engagement rate percentiles
PercentileEngagement rate
10th percentile0.004%
25th percentile0.024%
50th percentile0.143%
75th percentile0.678%
90th percentile2.55%
99th percentile82.4%

This ruler is the whole measured catalog, not a size-matched group: it shows where the raw rate falls across every account we can measure, all of which are large. For a like-for-like comparison, read the size-band percentile above instead. See how the bands are built

Posting timing

This account posts most often around 15:00 UTC, and Friday is its busiest day of the week. The bars below are the catalog-wide pattern, with this account's own busiest slot marked. They do not show how this account performs at each hour: we keep one aggregate per account, not one per hour, so that measurement does not exist in our data.

Engagement by hour posted, UTCTwenty-four bars, one per UTC hour. Each bar shows how posts published in that hour compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest hour: 15:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 15:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%89K
01:00 UTC-2%90K
02:00 UTC-3%88K
03:00 UTC-4%94K
04:00 UTC-5%76K
05:00 UTC-4%75K
06:00 UTC-5%86K
07:00 UTC-5%93K
08:00 UTC-4%108K
09:00 UTC-4%124K
10:00 UTC-3%129K
11:00 UTC-3%141K
12:00 UTC-3%154K
13:00 UTC-3%167K
14:00 UTC-4%173K
15:00 UTC-2%176K
16:00 UTC-3%171K
17:00 UTC-3%159K
18:00 UTC-2%149K
19:00 UTC-2%141K
20:00 UTC-1%131K
21:00 UTC0%116K
22:00 UTC-2%100K
23:00 UTC-1%90K
Engagement by day of weekSeven bars, one per weekday, Sunday first. Each bar shows how posts published on that day compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest day: Friday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Friday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%393K
Monday+1%483K
Tuesday-2%520K
Wednesday-3%472K
Thursday-2%430K
Friday-3%447K
Saturday+2%393K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Formats this account uses

Its own posting mix on the left, and what each of those formats does across every account we track on the right. Only formats where the effect clears our publish test appear here, so an empty row is a format we could not measure rather than one that does nothing.

This account's posting mix compared with catalog-wide effects
FormatThis accountCatalog effect95% intervalAccounts behind it
Image or video100% of posts+111%+108% to +115%34K
Outbound link100% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 100% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 111% above the same accounts' other posts.
  • 100% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
  • Its average post runs 391 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above the same accounts' other posts.

These are catalog-wide differences applied to this account's own posting mix, not a measurement of how each format performs for this account specifically. We keep one median per account, not one per format per account, so the second thing is not something this data can tell you.

Best tweets

  • Apr 7, 202635x their median

    Today, Niantic Spatial introduces Scaniverse โ€” our flagship product and the gateway to our spatial intelligence platform and Large Geospatial Model. Hereโ€™s whatโ€™s new: ๐Ÿ”นScaniverse (iOS mobile + web): Capture once, generate multiple outputsโ€”VPS maps, meshes, and Gaussian splats (Android coming soon) ๐Ÿ”นCollaborative mapping: Multi-user scans fused into a single, continuously improving model ๐Ÿ”น On-device validation: Preview VPS coverage and test localization in real time ๐Ÿ”นVPS 2.0: Global-scale positioningโ€”centimeter-accurate where mapped, reliable everywhere else (even where GPS fails) ๐Ÿ”นNSDK 4.0 (coming soon): A unified SDK across Unity, Swift, Android, and ROS 2 Read more: https://t.co/9oMKFBCnLA #NianticSpatial #Scaniverse #VPS #GeospatialAI #AI

    7013981932122K viewsView on X
  • May 30, 202638x their median

    i like big splats and i cannot lie. you can now compress, tile and stream city scale 3d gaussian splats -- glTF has an official 3DGS extension now too. this is what the future of google earth looks like. no more broccoli trees. no more melted powerlines. immaculate ground level detail that actually holds up.

    7989622660K viewsView on X
  • Aug 12, 202620x their median

    Gaussian splats look impressiveโ€”but robotics needs more than photorealism. Niantic Spatial generates an aligned collision mesh alongside every Gaussian splat, creating machine-readable digital twins with accurate geometry, depth, and collision awareness. Built for Spatial AI, Physical AI, and simulation in @NVIDIARobotics Isaac Sim. Learn more: https://t.co/V5Dy55EUho #GaussianSplats #SpatialAI #PhysicalAI #3DGS #3DReconstruction #AI #ComputerVision

    522677454K viewsView on X
  • Jun 5, 202624x their median

    for physical AI to work in the real world, it needs high-fidelity 3D models of the real world. not just for visualization โ€” for localization, spatial reasoning, and real-to-sim workflows that close the gap between training and deployment. at @nianticspatial, we're turning @spexigeospatial drone imagery into exactly that โ€” city-scale Gaussian splats grounded in the environments that matter most.

    5005613550K viewsView on X
  • May 28, 202614x their median

    Most AI-generated worlds are optimized to look realistic. But physical AI systems operating in the real world need something much harder: geometry that is physically consistent, spatially accurate, and grounded to real-world coordinates. Our latest Ground Truth blog breaks down how Niantic Spatial reconstructs georeferenced 3D environments from off-the-shelf drones, phones, and 360ยฐ imagery โ€” solving depth, alignment, and surface consistency at scale. ๐Ÿ”—Read more: https://t.co/LWx2TXOjAA #NianticSpatial #Spexi #PhysicalAI #Reconstruction #GaussianSplat #DigitalTwins #Robotics #GeospatialAI #AI #GeospatialIntelligence #GEOINT #SpatialIntelligence

    288554023K viewsView on X
  • Sep 18, 20268.8x their median

    โ˜€๏ธ๐ŸŒง๏ธย  Introducing Gaussian Splat Relighting, now in beta. Train embodied AI for changing real-world conditions. Using aligned meshes, we simulate new illumination and transfer it onto Gaussian splatsโ€”generating lighting, weather + time-of-day variants while preserving the underlying geometry, navigation + semantic data. Read more: https://t.co/7g0yDKXN9I #GaussianSplats #EmbodiedAI #PhysicalAI #Real2Sim #3DGSย  #Robotics #ComputerVision #A

    211437332K viewsView on X
  • Sep 25, 20267.4x their median

    Introducing the Places Library ๐Ÿ“š A collection of 100 high-fidelity, real-world 3D environments built for embodied AI. Instantly access real-world 3D environments as simulation-ready USDZ files, ready to use in NVIDIA Isaac Sim, Isaac Lab, and compatible OpenUSD simulators. ๐Ÿ”— Read more: https://t.co/X4CLQJOsW2 ๐Ÿ‘‰ Download free sample scenes: https://t.co/SNZq59ZEFs #EmbodiedAI #Robotics #PhysicalAI #Real2Sim #IsaacSim #AI #USDZ

    189216648K viewsView on X
  • Jul 10, 20266.4x their median

    This might be the coolest thing Iโ€™ve ever done with a drone. I flew the @Antigravity_HQ A1 over downtown Chattanooga, then uploaded the 360ยฐ footage to @NianticSpatial Scaniverse. A few hours later, I was exploring a massive 3D Gaussian splat on Apple Vision Pro. https://t.co/Un9Nye9CJ6

    179189440K viewsView on X
  • Aug 27, 20264.4x their median

    What if Real2Sim environments took an afternoon to build? Niantic Spatial turns mobile, 360ยฐ camera or drone capture into high-fidelity 3D Gaussian environments for humanoid robotics trainingโ€”no LiDAR or specialized rigs required. See how weโ€™re closing the Real2Sim gap with @NVIDIARobotics + @FlexionAI. ๐Ÿ‘‡ https://t.co/Acooyofik4 #Real2Sim #Robotics #PhysicalAI #Simulation #GaussianSplatting #SpatialAI #3DGS

    114172027K viewsView on X
  • Oct 2, 20264.1x their median

    Fly through the world in 3D ๐ŸŒŽ Captured by iROBOTICS, Inc. with a DJI Osmo 360 and reconstructed in Scaniverse, this Gaussian splat of Kutani Dam shows the potential of large-scale 3D reconstruction for infrastructure planning and assessment.ย  Start today with Scaniverse. https://t.co/rkGmRZQwkK #WorldModels #RealWorldModels #SpatialAI #PhysicalAI #AI #GaussianSplat #RealityCapture #3DGS #3DReconstruction

    101162396K viewsView on X

Ranked by total interactions across everything we have tracked for this account, which is a longer history than the 30-day window the rates above use. The multiple compares each post to this account's own median.

Recurring topics

#aes2026#physicalai#embodiedai#latechweek#scaniverse

The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.

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Reading these numbers

A typical post picks up 30 interactions against 956K followers, an engagement rate of 0.003%. Measured over 19 original posts, its engagement rate beats 20% of 20,444 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 17K times each, and 0.173% of those impressions turn into an interaction. That is about 1.81% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.8 post a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 15:00 UTC, and Friday is the busiest day of the week. Of the 19 posts sampled, 100% carry an image or video and 100% link out. The account's strongest tracked post pulled 1.1K interactions, about 35x its own typical post. Recurring topics include #aes2026, #physicalai, #embodiedai.

What is Niantic Spatial ๐ŸŒŽ's engagement rate on X?
Niantic Spatial ๐ŸŒŽ (@NianticSpatial) has an engagement rate of 0.003%, based on the median interactions across 19 original posts from the last 30 days against 955,796 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.003%, Niantic Spatial ๐ŸŒŽ sits below the 10th percentile of the 205,374 accounts in this comparison. Those comparison accounts are all large ones, because our scanning cadence is weighted towards big accounts, so this is a ranking among peers of similar scale rather than a ranking across X.
Does @NianticSpatial have real engagement?
Its engagement rate beats 20% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the bottom quarter for its size group. Ranking inside a size band matters because engagement rate falls as accounts grow, so a raw rate would mostly re-measure the follower count. It is a starting point for a look at follower quality, not a verdict on it.
When does @NianticSpatial post?
Most posts go out around 15:00 UTC, and Friday is its busiest day, at roughly 0.8 posts per day across the measured window.

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