Ze
Zeno, an Interactive ML Evaluation Framework
Zeno, an Interactive ML Evaluation Framework
Share cardActual performance
2points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →64%64% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
59%59% predicted probability of success on BetaList, based on ML models trained on real launch data.
42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.
40%40% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
20%20% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Sh
Shitty ML Framework for Java44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Shitty ML Framework for Java
Do
Dokimos – LLM evaluation framework for Java44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Dokimos – LLM evaluation framework for Java
se
seqeval - a Python framework for sequence labeling evaluation52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
seqeval - a Python framework for sequence labeling evaluation
Ru
Rues an Expression Evaluation Sidecar56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Rues an Expression Evaluation Sidecar
Au
AutoAI – A framework to find the best performing AI/ML model38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AutoAI – A framework to find the best performing AI/ML model
Ze
ZenML, extensible open-source MLOps framework for reproducible ML57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
ZenML, extensible open-source MLOps framework for reproducible ML
Ze
ZenML, extensible open-source MLOps framework for reproducible ML57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
ZenML, extensible open-source MLOps framework for reproducible ML
Ke
KeraSH, a ML Framework in Shell61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
KeraSH, a ML Framework in Shell
Si
SimpleML 0.9.0 Released – A Batteries-Included ML Persistence Framework44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
SimpleML 0.9.0 Released – A Batteries-Included ML Persistence Framework
Op
Opik, an open source LLM evaluation framework79%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Opik, an open source LLM evaluation framework