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Thanks for your timely inputs and sorry about the delay!

Co-authored-by: Frank Elsinga <[email protected]>
ramyaragupathy and others added 3 commits October 6, 2025 21:02
Co-authored-by: Frank Elsinga <[email protected]>
Co-authored-by: Frank Elsinga <[email protected]>
Co-authored-by: Frank Elsinga <[email protected]>
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@louwers louwers left a comment

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Native section looks good.

We can we should add an image somewhere to break the wall of text.

Co-authored-by: Bart Louwers <[email protected]>
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Spatial K looks good

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@CommanderStorm CommanderStorm left a comment

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I added an image, @birkskyum can add another image further up (mine is on page 2)

@ramyaragupathy ramyaragupathy merged commit 71704be into main Oct 6, 2025
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@ramyaragupathy ramyaragupathy deleted the newsletter/sep2025 branch October 6, 2025 16:58
<em> Tile rendering using maplibre-native-rs</em>
</p>
</div>
## 🎉 Spatial K Onboarding
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Suggested change
## 🎉 Spatial K Onboarding
## 🎉 Spatial K Onboarding


## 🦀 maplibre-native-rs

The MapLibre Native Rust bindings have seen a steady stream of refactorings and breaking changes to enable server-side rendering both in Martin and other projects possible.
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The MapLibre Native Rust bindings have seen a steady stream of refactorings and breaking changes to enable server-side rendering both in Martin and other projects possible.
The MapLibre Native Rust bindings have seen a steady stream of changes to enable server-side map rendering (rasterization) for Martin and other projects.


The MapLibre Native Rust bindings have seen a steady stream of refactorings and breaking changes to enable server-side rendering both in Martin and other projects possible.

We currently offer a single-instance Pool (MapLibre Native internally uses multithreading) for rendering tiles, which already provides solid performance.
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We currently offer a single-instance Pool (MapLibre Native internally uses multithreading) for rendering tiles, which already provides solid performance.
We currently offer a single-instance Pool for rendering tiles, which already provides solid performance. MapLibre Native uses multithreading internally.

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6 participants