From Here to There
summary
Crowdsourced experiments turn into concrete wins: Largest Contentful Paint lands in multiple browsers, WebPageTest and SpeedIndex seed hero-image timing work, and an NBA-style tracking story shows hidden metrics changing hiring and outcomes. Interaction measurement shifts from FID to INP (interaction to next paint) revealing 500ms problems where FID shows 11ms. JavaScript-heavy SPAs leak memory in heap snapshots with detached nodes, while platform changes like scheduler tweaks and fetch/image priority produce measurable percent gains.
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chapters (33)
- 0:00Introduction
- 1:05Web performance community
- 2:07Tooling and metrics in innovation
- 3:14Basketball stats obsession
- 5:21Sports analytics pioneers
- 7:49NBA analytics and tracking
- 9:13Case study: Brook Lopez transformation
- 11:58Sports vs web performance metrics
- 12:39Largest contentful paint evolution
- 14:26Speed index and rendering metrics
- 15:49Hero image metrics solutions
- 16:51Paint timing API collaboration
- 17:55Cross browser adoption
- 18:56Performance monoculture concerns
- 20:20Industry benchmarks limitations
- 21:27Innovation in performance metrics
- 22:30Element timing API iterations
- 23:34Lazy loading and priority hints
- 24:36Current performance innovation
- 25:18First input delay and INP
- 26:21Main thread analysis with DevTools
- 28:49Main thread optimization APIs
- 29:10Attribution in RUM data
- 30:12Defending FID limitations
- 31:57Browser improvements impact
- 33:19Memory usage challenges
- 36:10Memory leaks in SPAs
- 38:57JavaScript heap growth
- 41:07SPA performance challenges
- 42:31SPA adoption implications
- 43:57Soft navigation measurements
- 45:43Power of performance community
- 47:50Call to action
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36mHacking Web Performance
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