# Using Sentry Application Metrics to improve a browser video size estimator

DevFeed: [Using Sentry Application Metrics to improve a browser video size estimator](<https://devfeed.tech/articles/application-metrics-caught-my-broken-size-estimator-24102.md>)

Original publisher: [Read original article](<https://blog.sentry.io/metrics-caught-ai-size-estimate/>)

Author: Kyle Tryon

Published: 2026-09-01T09:00:00Z

Content type: tutorial

Language: en

Sources: [Sentry Blog](<https://devfeed.tech/sources/sentry-blog.md>)

Topics: [telemetry](<https://devfeed.tech/topics/telemetry.md>), [Transcodings](<https://devfeed.tech/topics/transcodings.md>), [browser](<https://devfeed.tech/topics/browser.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>)

Tags: [app](<https://devfeed.tech/tags/app.md>), [browser](<https://devfeed.tech/tags/browser.md>), [encoding](<https://devfeed.tech/tags/encoding.md>), [media](<https://devfeed.tech/tags/media.md>), [metrics](<https://devfeed.tech/tags/metrics.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [video](<https://devfeed.tech/tags/video.md>)

## AI overview

This tutorial explains how the author used Sentry Application Metrics to evaluate and improve a video size estimator in Cliparr, a self-hosted browser-based video clipping tool. Real-world conversion data revealed one estimate was off by 83%.

## Source excerpt

The numbers your app lives on don't belong in logs or on sampled spans. Here's how a browser video converter's KPIs made the case for Application Metrics.