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@nikhil-zlai
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Summary

created a new landing page for chronon site. see: chronon.ai (no link references to any external company - only slack or github)

updated the release script to build the site.

Why / Goal

People who visit the site need to quickly understand the value proposition and status of the project.

Test Plan

  • Added Unit Tests
  • Covered by existing CI
  • Integration tested

Checklist

  • Documentation update

Reviewers

@pengyu-hou @mears-stripe

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@piyush-zlai piyush-zlai left a comment

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Looks great, thanks for the updates!

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@pengyu-hou pengyu-hou left a comment

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Thanks a lot @nikhil-zlai for updating the doc site. I left a few minor comments.

Comment on lines +65 to +67
<img src="_static/logos/netflix.svg" alt="Netflix" class="company-logo">
<img src="_static/logos/stripe.svg" alt="Stripe" class="company-logo">
<img src="_static/logos/airbnb.svg" alt="Airbnb" class="company-logo">
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adjust the order :)

Suggested change
<img src="_static/logos/netflix.svg" alt="Netflix" class="company-logo">
<img src="_static/logos/stripe.svg" alt="Stripe" class="company-logo">
<img src="_static/logos/airbnb.svg" alt="Airbnb" class="company-logo">
<img src="_static/logos/airbnb.svg" alt="Airbnb" class="company-logo">
<img src="_static/logos/stripe.svg" alt="Stripe" class="company-logo">
<img src="_static/logos/netflix.svg" alt="Netflix" class="company-logo">

<div class="feature-card">
<h3><i class="fas fa-bolt feature-icon"></i> Production-Grade Performance</h3>
<p>Serve features with <strong>sub-10ms p99 latency</strong> using battle-tested Vert.x infrastructure.
Deploy in embedded mode for minimal overhead or standalone for independent scaling—your choice, zero
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Suggested change
Deploy in embedded mode for minimal overhead or standalone for independent scaling—your choice, zero
Deploy in embedded mode for minimal overhead or standalone mode for independent scaling—your choice, zero

<div class="feature-card">
<h3><i class="fa-solid fa-code feature-icon"></i> Developer-Friendly API</h3>
<p>Express complex temporal aggregations in simple, declarative Python. One unified API works across
batch (Spark), streaming (Flink), and serving contexts—no need to learn multiple frameworks or
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Technically, Spark streaming is still supported but not recommended?

Suggested change
batch (Spark), streaming (Flink), and serving contexts—no need to learn multiple frameworks or
batch (Spark), streaming (Flink or Spark streaming), and serving contexts—no need to learn multiple frameworks or

Comment on lines +238 to +244
<a href="https://www.youtube.com/watch?v=Ko186KFDOJ8" target="_blank" class="resource-card">
<span class="resource-type">Video</span>
<h3>Building Generative Recommenders with Chronon</h3>
<div class="resource-meta">
<span>Feature Store summit - 2025</span>
</div>
</a>
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@pengyu-hou pengyu-hou Nov 24, 2025

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adding another video from me shamelessly 😄

Suggested change
<a href="https://www.youtube.com/watch?v=Ko186KFDOJ8" target="_blank" class="resource-card">
<span class="resource-type">Video</span>
<h3>Building Generative Recommenders with Chronon</h3>
<div class="resource-meta">
<span>Feature Store summit - 2025</span>
</div>
</a>
<a href="https://www.youtube.com/watch?v=Ko186KFDOJ8" target="_blank" class="resource-card">
<span class="resource-type">Video</span>
<h3>Building Generative Recommenders with Chronon</h3>
<div class="resource-meta">
<span>Feature Store summit - 2025</span>
</div>
</a>
<a href="https://video.withairbnb.com/media/t/1_b27ddpnb?st=2725" target="_blank" class="resource-card">
<span class="resource-type">Video</span>
<h3>Democratizing High-Performance AI/ML Feature Engineering Through Open Source</h3>
<div class="resource-meta">
<span>AI @ AirBnb - 2025</span>
</div>
</a>

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4 participants