Ad
Advent of Code 2022 (only first eight in different langs)
Advent of Code 2022 (only first eight in different langs)
Tried/revisited/used: Elixir, Haskell, Python, Rust, JS, Rust-WASM, TypeScript, Java. With READMEs for each
Share cardActual performance
2points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →66%66% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
38%38% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
31%31% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
27%27% predicted probability of success on AppSumo, based on ML models trained on real launch data.
22%22% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
21%21% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Ad
Advent of Code in a different language every day58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Advent of Code in a different language every day
Ad
Advent of Pixels62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Advent of Pixels
Ad
Advent-of-Code using only the C Preprocessor61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Advent-of-Code using only the C Preprocessor
Co
CoinMarketBook – CoinMarketCap, but with a different metric48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
CoinMarketBook – CoinMarketCap, but with a different metric
Di
Different Dimension Me40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Different Dimension Me
Ki
Kishi, a different approach to spaced repetition system64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Kishi, a different approach to spaced repetition system
Pl
Plotting thinkpad temperature with different kernels40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Plotting thinkpad temperature with different kernels
Craete53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Craete Different
Ao
Aoctools (automate your Advent of Code workflow)48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Aoctools (automate your Advent of Code workflow)
Ja
Java Advent Calendar53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Java Advent Calendar