Pr
Practical Bayesian Optimization in Go for ML Hyperparameter Tuning
Hacker NewsPractical Bayesian Optimization in Go for ML Hyperparameter Tuning
Share cardActual performance
1points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto67%67% predicted probability of success on BetaList, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released43%43% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Strong signals: para · Missing: mobile apps, ios, personal39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Strong signals: para · Missing: supports, reddit linkedin, podcasting23%23% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos20%20% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue17%17% 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 practical Lisp in C51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
a practical Lisp in C
Hacker News5a
a practical introduction to Kryptos K1-K3 brute-force decryption42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
a practical introduction to Kryptos K1-K3 brute-force decryption
Hacker News1Sp
Speck, a WebGL molecule renderer for attractive and practical figures50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Speck, a WebGL molecule renderer for attractive and practical figures
Hacker News9PB
PBTune – Evolutionary auto-tuning for PostgreSQL (no ML required)45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
PBTune – Evolutionary auto-tuning for PostgreSQL (no ML required)
Hacker News4Op
Optidash – ML-enhanced image optimization API38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Optidash – ML-enhanced image optimization API
Hacker News10Wh
WhitestormJS r11: modularity, optimization for webpack and more!45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
WhitestormJS r11: modularity, optimization for webpack and more!
Hacker News1Ge
Geopt – GEneric OPTimization by Genetically Evolved OPeration Trees42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Geopt – GEneric OPTimization by Genetically Evolved OPeration Trees
Hacker News1Ta
Tail Recursion Optimization for the JVM55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Tail Recursion Optimization for the JVM
Hacker News107Li
Lizard Optimization59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Lizard Optimization
Hacker News1Joule44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AI Optimization
Indie Hackers1ai