A
A Hands-On Guide on PySpark Coding and Best Practices
Hacker NewsA Hands-On Guide on PySpark Coding and Best Practices
Share cardActual performance
52points
8comments
Made the leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto80%80% 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 NewsStrong engagement from HN community · Strong signals: ide · Missing: https docs, excited, just released73%73% 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 · Missing: mobile apps, ios, personal32%32% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive31%31% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: coding · Missing: mac, agents, macos28%28% 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, revenue16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting12%12% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Mu
Multiview Hands Only Pose Estimation64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Multiview Hands Only Pose Estimation
Hacker News4
Bhagavan39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Hinduism in your hands
Product Hunt+7A
A Beginner's Guide to Colorimetry40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A Beginner's Guide to Colorimetry
Hacker News2Gu
Guide to Hacking64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Guide to Hacking
Hacker News6A
A Guide to TensorFlow (Part 2)65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A Guide to TensorFlow (Part 2)
Hacker News2Im
Impartial crowdsourced guide to the Australian federal election29%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Impartial crowdsourced guide to the Australian federal election
Hacker News7Gu
Guide for OpenFaaS with Linkerd2 and mTLS41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Guide for OpenFaaS with Linkerd2 and mTLS
Hacker News3A
A Kid's Guide to Distributism54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A Kid's Guide to Distributism
Hacker News1Im
Implementer's Guide to WebSockets54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Implementer's Guide to WebSockets
Hacker News3Vi
Vim Guide52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Vim Guide
Hacker News1