[A
[Adobe Research] Spark standalone cluster tasks with Puppet and Fabric
Hacker News[Adobe Research] Spark standalone cluster tasks with Puppet and Fabric
Share cardActual performance
2points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto69%69% 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: tasks · Missing: mac, agents, macos68%68% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released40%40% 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.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting22%22% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive17%17% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct 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 News2Au
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 News2De
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 News4Dr
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 News4Th
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 News2Cu
Custom Domain for Adobe Express/Slate/Spark29%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Custom Domain for Adobe Express/Slate/Spark
Hacker News1Ca
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 News1A
A WebGL enabled “Adobe Lightroom” in the browser68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A WebGL enabled “Adobe Lightroom” in the browser
Hacker News9Fr
Free Adobe CS2 Software49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Free Adobe CS2 Software
Hacker News2Sp
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