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Ask HN: Most interesting tech you built for just yourself?

1901 points l2silver | 1 comments | 27 Apr 23 15:04 UTC | HN request time: 0.276s | source

Maybe you've created your own AR program for wearables that shows the definition of a word when you highlight it IRL, or you've built a personal calendar app for your family to display on a monitor in the kitchen. Whatever it is, I'd love to hear it.
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tuckerconnelly ◴[28 Apr 23 05:45 UTC] No.35737852[source]▶
Machine-learning predictions for Draft Kings (NBA) :)

It scraped basically every single player's performance in every single NBA game ever. I tried XGBoost and Keras, and the Keras model outperformed the XGBoost model. Was about to incorporate real-time injury data, so if a player was injured or out that game it would not select them.

In the end it didn't perform too well. I think the limitation was my lack of domain knowledge, and not really knowing what features to select that would predict a players performance. Also data. I hear MLB is more consistent than NBA because there's just more data.

replies(1): >>35746243 #
1. edmundsauto ◴[28 Apr 23 19:50 UTC] No.35746243[source]▶
I'm sitting on MLB data (converting it to a BigQuery warehouse), am also interested in this space. The challenge w/ MLB is randomness plays a larger element - most folks in the MLB gambling space prefer other leagues where an information advantage more directly translates to profits.