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That makes me wonder: do you see a difference in when viewers drop off between using a more math-y title versus a more accessible one?

The "broke my brain" title originally put me off from watching. I caved after a few days; I think the video is one of your best!


That level of granularity would be interesting. For what it's worth, the metric they go by is not click-through rate; it's expected total watch time. For example, if you have two thumbnails, A and B, and for every 100 impressions of A, there are 51 total minutes of watch time, and for every 100 impressions of B, there are 49 total, then what you'd see in the dashboard is "51% A, 49% B". More total clicks with less engagement will not necessarily win out.

I generally agree that it's a pretty wild choice to just let creators put up multiple titles. That said, it's hard not to play with the shiny toy when it's sitting right there, especially if you know it may mean the lesson reaches more people. In this case, I genuinely don't know what the "right" title is, even setting engagement aside. Is it fundamentally about analyzing an Escher piece? Is it fundamentally a lesson on complex analysis, and complex logs in particular? It's both, but you don't always want to cram two stories into one title. This becomes all the more challenging when titles are, inescapably, marketing.


A daily, async version of the dictionary game.

Each day, players try to spot the real definition of an obscure word among the fakes submitted by other players the day before. Fake definitions rank on a daily leaderboard.

I love the traditional version of the game, but it's not so easy to get a session going. An asynchronous, global format is my attempt to make it more casual and accessible.

It's live for about a month now: ~100 daily players, 5000 total, some 20 people on 10-day streaks.

https://plausiblegame.com/en


Pretty! What tech is behind it ?


Thanks! Frontend is Nextjs. Flask, Postgres and Redis in the backend. Hosted on a cheap VPS.

I spent way too much time trying to automate moderation (grouping related submissions, judging similarity, removing offensive submissions) using sentence-transformers and w2v. Finally gave up and settled on using deepseek to moderate for 0.002€ a day.

One thing I'm currently working on is improving the exploration vs exploitation balance in matchmaking (selecting the fakes to present to a player). I want sessions to contain good fakes, but every fake must be played a few times to judge its quality. As a first step, I'm replacing the ELO system for definitions with one that accounts for uncertainty (like Trueskill)


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