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Netflix makes reports since 2023 showing how much engagement everything in their catalog gets. This joins together all those into one report.

Most surprising to me: 1. What a mega-hit KPop Demon Hunters was. The #2-5 ranked movies got ~500M hours viewed each, KPop Demon Hunters got 1081M. 2. How big old content is. Suits from 2011 is the #2 show on Netflix. Grey's Anatomy starting in 2005 is #3. Gilmore Girls from 2000 #4. 3. The "scale effect" where releasing a new season of a show engenders massive viewing of previous seasons. Stranger Things season 5 got 880M hours of viewing in H2 2025 when it released. But it caused 1200M additional hours of viewing of seasons 1-4. 4. Massive popularity of movies I had never heard of. Leave the World Behind, a movie I had never heard of, was the #2 movie of the last three years. It got ~100 minutes of watchtime per Netflix subscriber. Of the top 10 movies I had only heard of 3.

This was vibe-coded, so could be incorrect, especially in details. I think the overall results of the report are correct in terms of # of hours watched since 2023, though. Reproduction script: girl.surgery/netflix_engagement/reproduce.py.

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I was looking for a tool to create interactive demos / walkthroughs for web based software. I was amazed that many companies charge well over $1000 per month for something pretty basic.

I made this which so far works well for me. You can point it at a site and either let AI (byo OpenAI or Anthropic keys) record and polish the whole thing or do it manually yourself (or a mixture of both).

Here is an example interactive demo:

https://runnit.io/demos/i-want-you-to-create-a-demo-of-from-...

Disclaimer: This is a tool which works for me and may work for you, it's not production grade software, use at your own risk. Extend it, fork it, sell it, it's up to you.

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We have lots of benchmarks for new frontier LLMs (SWE benchmarks etc) to make them score on the "best code". In large codebase, the best code is the one that matches the codebase own voice and conventions, because that's the mental model of the team.

Ingesting a full codebase explicit/implict patterns in an agent windows to make them match the codebase doesnt work: too much context, hallucinations, ...

So I built this free/open source project, your codebase is a golden mine of AST code patterns that makes its unique voice, Argot learns them and then allows you to enforce them proactively or defensively.

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