Te
Texture Packer for Game Development Using MaxRects Algorithm
Hacker NewsTexture Packer for Game Development Using MaxRects Algorithm
Share cardActual performance
3points
1comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: using · Missing: mac, agents, macos53%53% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal52%52% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting48%48% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released46%46% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto41%41% predicted probability of success on BetaList, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
A
A game using $P Recognizer algorithm52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A game using $P Recognizer algorithm
Hacker News1Na
Naive Bayes classification algorithm using Bernoulli and Multinomial41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Naive Bayes classification algorithm using Bernoulli and Multinomial
Hacker News1Us
Using Genetic Algorithm to Create Fractals57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Using Genetic Algorithm to Create Fractals
Hacker News22We
WebGL Cube Snake Game - plays itself using Dijkstra's algorithm59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
WebGL Cube Snake Game - plays itself using Dijkstra's algorithm
Hacker News6Re
Reproducible development environments using starlark, without Nix51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Reproducible development environments using starlark, without Nix
Hacker News4Cy
Cython implementation of DeepWalk algorithm46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Cython implementation of DeepWalk algorithm
Hacker News2Il
Illustrated Quicksort algorithm50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Illustrated Quicksort algorithm
Hacker News187Pr
Prim's algorithm50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Prim's algorithm
Hacker News5Di
Distributed Genetic Algorithm in Clojure70%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Distributed Genetic Algorithm in Clojure
Hacker News1K-
K-means algorithm in Ruby56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
K-means algorithm in Ruby
Hacker News5