I
I wrote a minimal deep learning library from scratch in Python
Hacker NewsI wrote a minimal deep learning library from scratch in Python
Share cardActual performance
25points
4comments
Made the leaderboard
Launch Intel predictions
Analyze your own launch →Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released71%71% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal56%56% predicted probability of success on TrustMRR, 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.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto27%27% predicted probability of success on BetaList, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos24%24% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting21%21% 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, 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
I
I built a deep learning engine from scratch in Python60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I built a deep learning engine from scratch in Python
Hacker News30*F
*From Scratch* Implementations of Deep Learning Concepts (in Numpy)71%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
*From Scratch* Implementations of Deep Learning Concepts (in Numpy)
Hacker News2Fr
Free textbook – Python, Deep Learning and LLMs from scratch [pdf]72%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Free textbook – Python, Deep Learning and LLMs from scratch [pdf]
Hacker News1Py
Python library for learning binarytrees68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Python library for learning binarytrees
Hacker News112Sc
Scratch Cryptography Library39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Scratch Cryptography Library
Hacker News1Ny
Nyan – Python game library inspired by Scratch61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Nyan – Python game library inspired by Scratch
Hacker News4A
A Python library for Unicode string collation55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A Python library for Unicode string collation
Hacker News4A
A Python library for accessing Wunderlist67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A Python library for accessing Wunderlist
Hacker News1Oh
Ohne I/O, a Python 3.4+ coroutine library without any I/O55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Ohne I/O, a Python 3.4+ coroutine library without any I/O
Hacker News2Py
Python library for parsing Dockerfile65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Python library for parsing Dockerfile
Hacker News2