De
Demo of using DVC and MLFlow for ML experiments
Hacker NewsDemo of using DVC and MLFlow for ML experiments
Share cardActual performance
1points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto73%73% 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.
Product HuntOn track for Day 1 leaderboard · Strong signals: using · Missing: mac, agents, macos59%59% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive50%50% 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, personal43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released38%38% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue14%14% 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, podcasting9%9% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
ML
ML-Powered Search Demo75%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
ML-Powered Search Demo
Hacker News2Li
Live Twitch Demo at 2pm – Monitor ML Models in Sagemaker with Fiddler59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Live Twitch Demo at 2pm – Monitor ML Models in Sagemaker with Fiddler
Hacker News1Au
Augmenting Education with ML – Demo and Proof of Concept36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Augmenting Education with ML – Demo and Proof of Concept
Hacker News1Lo
Loop_tool.js demo, a JIT WASM compiler for linear algebra (and ML)51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Loop_tool.js demo, a JIT WASM compiler for linear algebra (and ML)
Hacker News3RT
RTree demo41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
RTree demo
Hacker News7We
WebGL viewshed demo60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
WebGL viewshed demo
Hacker News1De
Demo of word2vec on GoogleNews41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Demo of word2vec on GoogleNews
Hacker News3A
A WebGL demo of the Observer Effect51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A WebGL demo of the Observer Effect
Hacker News15Fo
Force12 – demo of container autoscaling40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Force12 – demo of container autoscaling
Hacker News17Po
Polymer 1.0 Demo (From CodePicnic)41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Polymer 1.0 Demo (From CodePicnic)
Hacker News2