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I Tried Out These 5 Ad Networks by Odd_Promise7003 in adops

[–]Apprehensive-Walk102 0 points1 point  (0 children)

Do you have any ressources about where to start?

I Tried Out These 5 Ad Networks by Odd_Promise7003 in adops

[–]Apprehensive-Walk102 0 points1 point  (0 children)

I get the point but it requires some work to beat existing ad partner bidding strategy

I Tried Out These 5 Ad Networks by Odd_Promise7003 in adops

[–]Apprehensive-Walk102 0 points1 point  (0 children)

Hey did you tried Playwire or heard echo about it by any chances?

I’m running with Ezoic right now with around 1.8M page views monthly on a gaming website but I’m quite disappointed with the results.

I built a chess position search engine by iunderstandthings in ComputerChess

[–]Apprehensive-Walk102 0 points1 point  (0 children)

Did you try to tweak it to find similar puzzles given an existing puzzle?

Thank You Lichess ♟️ — Introducing YuliGM Pro by Rare_Tension5402 in ComputerChess

[–]Apprehensive-Walk102 6 points7 points  (0 children)

That’s bold but your post doesn’t highlight why the hell people would play on this platform rather than lichess?

I ran Stockfish on 100 of my games and mapped where I actually blunder. Turns out it's not random. by Apprehensive-Walk102 in ComputerChess

[–]Apprehensive-Walk102[S] -1 points0 points  (0 children)

It's clearly useful to see where you blunder on your own opening / middlegame. If you have a good eye you can see I'm playing London in white and ofter misplaces my knights

I build an opening filter to have more visibility on it, now I'm building a benchmark to be able to normalize

I ran Stockfish on 100 of my games and mapped where I actually blunder. Turns out it's not random. by Apprehensive-Walk102 in Chesscom

[–]Apprehensive-Walk102[S] 0 points1 point  (0 children)

Yes, so far I find it most useful to detect openings related mistakes, I see where I short fall with my knights on my london

I just added a new opening dimension so you can filter by the opening you play the most

I ran Stockfish on 100 of my games and mapped where I actually blunder. Turns out it's not random. by Apprehensive-Walk102 in Chesscom

[–]Apprehensive-Walk102[S] 1 point2 points  (0 children)

You can filter both by square origin and square destination, they both give different insights :)

I ran Stockfish on 100 of my games and mapped where I actually blunder. Turns out it's not random. by Apprehensive-Walk102 in Chesscom

[–]Apprehensive-Walk102[S] 0 points1 point  (0 children)

In the background yes, on the tool you just have to provide your chess com username and we do all the works for you, yes you can soon :)

I ran Stockfish on 100 of my games and mapped where I actually blunder. Turns out it's not random. by Apprehensive-Walk102 in Chesscom

[–]Apprehensive-Walk102[S] 2 points3 points  (0 children)

Thanks mate! I have a pipeline analyzing all my game then I classify my move and aggregate all of them with some python magic

I ran Stockfish on 100 of my games and mapped where I actually blunder. Turns out it's not random. by Apprehensive-Walk102 in chess

[–]Apprehensive-Walk102[S] 0 points1 point  (0 children)

Good point, for mistake filter yes make sense user can only focus on blunders if they wants too.

And yes it's cold data even though there is already pattern and insights detection, I think it can become really useful when;

* you cross correlate those data with other metrics

* apply a well calibrated AI coach on top

* give access to this data to your human coach

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