An

Analytics Zoo – Distributed TensorFlow and Keras on Apache Spark

Hacker News

Analytics Zoo – Distributed TensorFlow and Keras on Apache Spark

Share card

Actual performance

2points
1comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
92%92% 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 released
61%61% 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 · Missing: mac, agents, macos
50%50% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
42%42% 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, podcasting
26%26% 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, revenue
25%25% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
19%19% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Co
Compiler from sequential Java to Spark45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Compiler from sequential Java to Spark

Hacker News2
Au
AutoML on Apache Spark41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AutoML on Apache Spark

Hacker News2
De
Declarative Spark Transformations with Hamilton65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Declarative Spark Transformations with Hamilton

Hacker News4
Dr
Dragon Microkernel in Spark Ada45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Dragon Microkernel in Spark Ada

Hacker News4
Th
The Spark45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The Spark

Hacker News2
Ca
CanonForge – spark weird headcanons with AI17%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

CanonForge – spark weird headcanons with AI

Hacker News1
We
Web analytics with Scala, Spark, and Parquet55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Web analytics with Scala, Spark, and Parquet

Hacker News7
Sp
Spark + Twine = sensors + lights + API49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Spark + Twine = sensors + lights + API

Hacker News3
El
Election Analytics UIUC27%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Election Analytics UIUC

Hacker News2
St
StatMilk - NFL/NCAA Analytics46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

StatMilk - NFL/NCAA Analytics

Hacker News1