Ra
RapidML (Make and deploy ML models to the web easily using Python)
Hacker NewsRapidML (Make and deploy ML models to the web easily using Python)
Share cardActual performance
1points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released64%64% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntOn track for Day 1 leaderboard · Strong signals: model, models, using · Missing: mac, agents, macos63%63% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto46%46% predicted probability of success on BetaList, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal39%39% 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, podcasting29%29% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Se
ServeIt – simple API serving for Python ML models68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
ServeIt – simple API serving for Python ML models
Hacker News5ML
ML/AI deployed in seconds using Python, scikit-learn, MongoDB50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
ML/AI deployed in seconds using Python, scikit-learn, MongoDB
Hacker News3De
Deploy ML Models on a Budget55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Deploy ML Models on a Budget
Hacker News117De
Deploy any ML models with 1 line62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Deploy any ML models with 1 line
Hacker News1Py
Python library to scan ML models for vulnerabilities70%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Python library to scan ML models for vulnerabilities
Hacker News20Ef
Efemarai – Visualizing and debugging ML models71%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Efemarai – Visualizing and debugging ML models
Hacker News8Py
Python module to easily generate text using a pretrained char-rnn35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Python module to easily generate text using a pretrained char-rnn
Hacker News14Py
Python module to easily generate text using a pretrained char-rnn35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Python module to easily generate text using a pretrained char-rnn
Hacker News1So
Solid IMAP and SMTP in Go Using Python52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Solid IMAP and SMTP in Go Using Python
Hacker News2Us
Using functions to construct Regex in Python54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Using functions to construct Regex in Python
Hacker News105