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GEODNET engagement report

@GEODNET - 143K followers on X

Measured over 28 original posts from a 30-day window, last computed on September 29, 2026.

Engagement

Middle of its size range
Per follower
0.067%
of 143K followers
Per impression
1.91%
4.8K views on a typical post
Reach
3.51%
of its followers see a post
Typical post
91
interactions (median)
Saved
0.021%
1 bookmarks on a typical post
Posting rate
2.27/day
active 67% of days
Peak time
18:00 UTC
Monday

A typical post picks up 91 interactions against 143K followers, an engagement rate of 0.067%. Measured over 28 original posts, its engagement rate beats 47% of 20,444 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 4.8K times each, and 1.91% of those impressions turn into an interaction. That is about 3.32% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.3 posts a day over the last 30 days, with activity on roughly 67% of days. Most posts go out around 18:00 UTC, and Monday is the busiest day of the week. Of the 28 posts sampled, 96% carry an image or video, 57% are part of a thread and 11% link out. The account's strongest tracked post pulled 1.7K interactions, about 19x its own typical post. Recurring topics include #cuav, #intergeo, #agtech.

Measured over 28 original posts from a 30-day window, last computed on September 29, 2026. Recurring tags: #cuav, #intergeo, #agtech.

Compared with accounts its own size

GEODNET's engagement rate beats 47% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 8 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 60% 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 0.067%, GEODNET sits above the 25th percentile of the 205,991 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.143%.

p100.004%
p250.024%
p50 (median)0.143%
p750.68%
p902.56%
p9982.4%
Engagement rate as a share of followers, across the 205,991 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,893 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 percentile0.68%
90th percentile2.56%
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 18:00 UTC, and Monday 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: 18:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 18:00 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: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Monday
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 video96% of posts+111%+108% to +115%34K
Outbound link11% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 96% 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.
  • 11% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts.
  • Its average post runs 711 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

  • Jun 22, 202619x their median

    The next AI revolution is not just happening on screens. It is happening in the physical world. Robots, drones, autonomous vehicles, and smart machines all need one thing before they can operate safely: Precise location. Traditional GPS can be off by several meters. For humans, that may be fine. For autonomous machines, it can be dangerous. GEODNET is building the spatial intelligence layer for Physical AI, using RTK positioning to improve accuracy from meters to within one centimeter. Over 20,000 base stations. 170+ countries. 11,000+ cities. 130+ enterprise customers. Physical AI needs real-world infrastructure. That infrastructure is being built now.

    1.2K39510813167K viewsView on X
  • Sep 18, 20266.9x their median

    Physical AI can't scale in the real world without ground-level precision. Global spatial coverage by the numbers: 📍 22,000+ Base Stations 🌍 174 Countries 👥 358k+ Active RTK Customers Powering precision agriculture, aerial delivery, digital surveying, and more with sub-centimeter RTK ground truth 24/7. Live map & coverage breakdown 👇 #Geospatial

    48711133111K viewsView on X
  • Sep 22, 20265.9x their median

    The Internet Needs Crypto to Survive AI: https://t.co/fmxCTfx146 One of the most exciting, and underrated, developments in crypto atm revolves around this @Bankless conversation with @eastdakota of @Cloudflare. ~20% of all websites are routed through Cloudflare, and in this conversation Matthew tells us that the business model of the Web is under attack. To put it simply, agentic traffic is exploding, and agents don't click on ads, but ads underpin much of the "free" stuff we get online. The infrastructure is creaking under agent load. Matthew's assertion is that microtransactions, at a scale not previously seen, will be needed to pay for access to content, as the advertising model of the Web falls apart with agents. Crypto people have talked about microtransactions forever, but it was for people, which never worked, whereas we're now contemplating it for agents. He says Cloudflare handles ~500M requests per second, and that 1-10% of those requests may be suitable for this microtransaction model. A blockchain environment is the only payment network that could theoretically handle this scale, and it would need to hit 5-50M TPS. 5-50M TPS in prod dwarfs anything yet attempted in crypto, and is far beyond anything TradFi can handle. There are very few blockchain environments that could conceivably provide this throughput. Just as important as the scale, is the model and trust assumptions. While Cloudflare may roll this out as a solution for its customers first, what's implicit here is the potential for an entirely new business model for the Web. If Cloudflare walks this path, I hope that what they build has permissionless validation, allowing for anyone to audit the network. Cloudflare has been a torch bearer for the open Internet, and so it only follows that if they're to pioneer a new business model for the Web, that the architecture be an open network. Doing so will engender the most trust, goodwill, and adoption in the long run. Web 3.0 is dead, long live Web 3.0.

    41651531467K viewsView on X
  • Sep 21, 20262.4x their median

    A new GEODNET experience is officially LIVE. 🌐🚀 We’ve reimagined https://t.co/mhOiSNaReo to showcase the precision layer powering Physical AI. On the site: 📍 Network: Live global coverage across 22k+ stations 🚜 Solutions: Enterprise RTK for drones, robotics & ag 🪙 Token: Deep-dive into solana:7JA5eZdCzztSfQbJvS8aVVxMFfd81Rs9VvwnocV1mKHu & burn trends 🛒 Shop & Trial: Order hardware or start a Free RTK Trial in seconds Explore the new platform now 👇 #Geospatial #PhysicalAI

    168331527.2K viewsView on X
  • Sep 17, 20262.3x their median

    That’s a wrap on INTERGEO 2026! 🇩🇪✈️ Huge thank you to everyone who stopped by the @GEODNET Booth in Munich to catch the live GEO-SWARM drone cage demos, test our GEO-MEASURE & global RTK network, and connect with @mikeahorton and the @GEODNET team. The momentum for real-time spatial ground truth has never been higher. See you next year! 📍

    18520526.7K viewsView on X
  • Sep 16, 20261.8x their median

    Another GEO-MEASURE heading out to the field live from INTERGEO! 🎯📱 The demand for handheld RTK connected directly to our network has been huge this week. Andrew and the team are running live demos with the GEO-SWARM and GEO-MEASURE right at the counter. Heading into the final day in Munich. Don't miss your chance to test it out before the floor closes! 📍

    14218315.7K viewsView on X
  • Sep 28, 2026

    Drones. Robots. Autonomous vehicles. They all need one thing before they can operate in the real world: They need to know exactly where they are. Not approximately. Not within a few meters. Exactly. That's what @GEODNET delivers, but it doesn't come from a single source. There are 3 layers making it work, and most people only ever see the surface. Swipe through to see how the full RTK ecosystem is actually setup. 👉 #RTK

    9821614.1K viewsView on X
  • Sep 25, 2026

    This week wrapped with @perceptroninc AI unveiling Mk1.5 for universal robot and drone control. Good timing, because the last few days already made one thing clear: control is only half the equation. We talked positioning data for autonomous drones, sim to real for physical AI, and infrastructure held to the same standard as the rest of the stack. Every one of those conversations comes back to the same gap. Autonomous systems can't act on what they can't measure. That's the layer @GEODNET builds. Centimeter level positioning for every drone, robot, and autonomous vehicle running the next generation of control stacks. The Rails For Physical AI. #PhysicalAI

    9013905.3K viewsView on X
  • Sep 12, 2026

    How centimeter-level positioning moves from space to the field: 1. Satellites: Raw multi-constellation GNSS signals broadcast to Earth. 2. GEODNET Ground Stations: 22,000+ local reference stations record atmospheric error. 3. GEODNET Network: Unified stream processes baseline differential corrections. 4. Cloud Delivery: Instant RTCM3 correction stream pushed via cellular/NTRIP. 5. Field Edge: Drones, AGVs, and rovers achieve 1–2cm fixed accuracy. Simple architecture, massive physical coverage. Heading to Munich this coming week? Stop by Hall B6, Booth B039 at INTERGEO to see the physical ground infrastructure in action. #GNSS

    9316205.0K viewsView on X
  • Sep 14, 2026

    Setup is complete at Messe München. Booth B039 in Hall B6 goes live tomorrow at 9:00 AM CEST. What's on display for INTERGEO2026: - GEO-MEASURE: Hands-on with our $695 handheld RTK receiver (1 yr RTK included). - 22,000+ Base Stations: Live global RTK correction feeds. - GeoAI & BIM: Centimeter ground truth for digital twins and autonomy. - GEO-SWARM: Live demo on the floor! 📍 Hall B6, Booth B039 📅 Sept 15–17 | 9 AM – 6 PM Daily #GNSS #GeoAI

    938324.6K 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

#cuav#intergeo#agtech#geodnet#messemünchen

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 91 interactions against 143K followers, an engagement rate of 0.067%. Measured over 28 original posts, its engagement rate beats 47% of 20,444 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 4.8K times each, and 1.91% of those impressions turn into an interaction. That is about 3.32% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.3 posts a day over the last 30 days, with activity on roughly 67% of days. Most posts go out around 18:00 UTC, and Monday is the busiest day of the week. Of the 28 posts sampled, 96% carry an image or video, 57% are part of a thread and 11% link out. The account's strongest tracked post pulled 1.7K interactions, about 19x its own typical post. Recurring topics include #cuav, #intergeo, #agtech.

What is GEODNET's engagement rate on X?
GEODNET (@GEODNET) has an engagement rate of 0.067%, based on the median interactions across 28 original posts from the last 30 days against 143,040 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.067%, GEODNET sits above the 25th percentile of the 205,991 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 @GEODNET have real engagement?
Its engagement rate beats 47% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the middle of its size range 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 @GEODNET post?
Most posts go out around 18:00 UTC, and Monday is its busiest day, at roughly 2.27 posts per day across the measured window.

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