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Number Pyle – A simple number game to pass the time

Hacker News

Number Pyle – A simple number game to pass the time

Number Pyle was originally conceived of as a paper and dice game by another Toronto game developer (Lintilion). The game involves trying to make vertical/horizontal lines between matching numbers on a grid. The rules are as follows: - Look at your current roll, it will be a random number between 1 and 6 - Pick a central cell on either side as your starting cell, your current roll will be placed there - Every time you place a number, you will get a new roll. If it's even, you may place it on one of the last cell's sides, if it's odd you may place it on one of the cells diagonal to the last cell - If two of the same number are 1 or more spaces away from each other in a straight, vertical/horizontal line with no other numbers in between, that's a NumberPyle and the cells in between are scored. Each scored cell is one point, and the filled cells can't be used to place numbers later - The game ends when you can't place your current roll There's also a two additional game modes: - Number Pyre, where you can bank a roll for later and, - Number Scryer, where you can see two rolls into the future.

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Actual performance

2points
Did not reach leaderboard

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54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
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51%51% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
49%49% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
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40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.
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39%39% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
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14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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