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Google Maps Platform ✓

@GMapsPlatform · Mountain View, CA · joined 05 Mar 2009

Discover robust APIs and SDKs, analysis-ready geospatial datasets and tools, powerful cloud computing, and no-code geospatial evaluation and analysis tools.

296 510Followers
142Following
5 993Posts total
36.1KViews on collected posts

Derniers posts

@GMapsPlatform How does it handle microclimates where training data is sparse? 1 views · 0 likes · 0 reposts · 0 replies Open on X →
@GMapsPlatform In Kenya we built ward-level flood risk for Nairobi from a radar-derived elevation model — the ranking exists before the rains do. Here is how a satellite measures the height of a city. hello@tahadhari.io · https://t.co/IYKLkgOxEk https://t.co/5VY29UT0Q9 56 views · 0 likes · 0 reposts · 0 replies Open on X →
@GMapsPlatform Seeing this level of precision in Maps is a game changer for real-time forecasting. We actually went deeper on this here: https://t.co/7y9cFk6uXP 12 views · 0 likes · 0 reposts · 0 replies Open on X →
Google just launched WeatherNext 3 today. Here's what you need to know. Google DeepMind and Google Research built WeatherNext 3, their most advanced global weather AI model yet. Unlike traditional forecasting, which is limited by compute to six-hour update intervals, this model 6.1K views · 7 likes · 2 reposts · 1 replies Open on X →
WeatherNext 3, Google's most advanced and accurate weather AI model, now powers forecasts in Google Maps Platform Weather API. Learn more at https://t.co/4OqS8VTwmn ⬇️ 9.3K views · 83 likes · 7 reposts · 6 replies Open on X →
How a satellite measures the height of a city. A radar pulse is sent to the ground and its echo received at two positions. The difference between the two returns encodes the terrain height. Processed across the full pass, every grid cell of Nairobi carries a measured height http 7.5K views · 1 likes · 2 reposts · 0 replies Open on X →
🌸 Allergy season shouldn't be a surprise. Turn it into an actionable strategy ➡️ https://t.co/VXMPBW1abL New Pollen Insights from Earth AI help retailers and pharma brands sync supply chains with local pollen waves using high-res historical data. https://t.co/CSFKQlADiu 2.9K views · 22 likes · 2 reposts · 5 replies Open on X →
🏊🏾‍♂️ Let's get deep: Hear about how the Google Maps Platform and Google DeepMind teams approach the convergence of AI agents and mapping APIs, security guardrails, and big data analytics. This panel discussion happened at our in-person NYC Community Day, where geospatial expert 3.1K views · 32 likes · 2 reposts · 3 replies Open on X →
Electric vehicle charging network Statiq relaunched in January with Google Maps Platform's Places UI Kit. CTO Raghav Arora says the integration took the app "from a functional utility to a user-friendly, location intelligence platform." In three months, @StatiqIndia saw a 10% ht 3.5K views · 25 likes · 6 reposts · 3 replies Open on X →
💬 "Seize the moment, not because everyone is doing it ... But because it really helps unlock new capabilities." At Community Day in NYC, Google Maps Engineering Director Travis McPhail shared how AI is transforming geospatial tech from standard APIs into a context-first https:// 3.5K views · 29 likes · 5 reposts · 0 replies Open on X →

Face aux comptes de taille comparable

10 posts des 90 derniers jours, à côté de la tranche de 100K–1M abonnés. portée ordinaire pour sa taille, réaction plus faible que la moyenne.

Vues médianes3 344ce compte5 983médiane pour 100K–1M
Portée, %1.13%ce compte1.49%médiane pour 100K–1M
Engagement, %0.60%ce compte0.93%médiane pour 100K–1M
IndicateurCe compteMédiane pour 100K–1MRapport
Vues médianes par post3 3445 9830.56×
Portée (vues ÷ abonnés)1.13%1.49%0.76×
Taux d'engagement0.60%0.93%0.65×

Autres comptes de cette tranche →   Comparer avec un autre compte →   Comment ces repères sont établis →

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

3.5K21 Aug
3.5K25 Aug
3.1K26 Aug
2.9K28 Aug
7.5K3 Sep
9.3K
6.1K
12
56
14 Sep

Last 10 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.99%21 Aug
1.02%25 Aug
1.21%26 Aug
1.03%28 Aug
0.07%3 Sep
1.04%
0.21%
0.00%
0.00%
0.00%4 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.

What the audience does

Likes64.8%199 in total
Reposts8.5%26 in total
Replies5.9%18 in total
Quotes3.6%11 in total
Bookmarks17.3%53 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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