Da
Darn – A Book on Data Analysis with Rust Notebooks
Hacker NewsDarn – A Book on Data Analysis with Rust Notebooks
Share cardActual performance
2points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto78%78% 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 · Missing: https docs, excited, just released54%54% 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, 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, intuitive34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting33%33% 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, macos30%30% 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, revenue19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
I
I Wrote a Book on Data Analysis with Rust Notebooks67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I Wrote a Book on Data Analysis with Rust Notebooks
Hacker News105Data Analysis with Rust Notebooks34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Rust, Jupyter, Data Analysis
Indie Hackers1$10/moaiBe
Better Plotting with Plotly in Rust Notebooks67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Better Plotting with Plotly in Rust Notebooks
Hacker News2Pe
Percival – Web-based reactive Datalog notebooks, made with Rust+Svelte63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Percival – Web-based reactive Datalog notebooks, made with Rust+Svelte
Hacker News22Me
MetricWhiz a Rust based TUI for NLP binary classification analysis58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
MetricWhiz a Rust based TUI for NLP binary classification analysis
Hacker News1I
I Wrote a Book about Rust and Security70%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I Wrote a Book about Rust and Security
Hacker News5I
I Wrote a Book on Evolutionary Algorithms with Python Notebooks78%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I Wrote a Book on Evolutionary Algorithms with Python Notebooks
Hacker News13Why Fullstack Rust Developers Are Happier51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Book on Fullstack Rust development
Indie Hackerscommitment-side-projectOb
Observable Notebooks67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Observable Notebooks
Hacker News654ip
ipynb-tex – Jupyter Notebooks and TeX57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
ipynb-tex – Jupyter Notebooks and TeX
Hacker News4