
Actual performance
316upvotes
41comments
Made the leaderboard
Traction signals
Makers1
Launch Intel predictions
Analyze your own launch →91%91% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
72%72% predicted probability of success on BetaList, based on ML models trained on real launch data.
70%70% predicted probability of success on Hacker News, 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.
28%28% predicted probability of success on AppSumo, based on ML models trained on real launch data.
17%17% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Op
Open-source tool for deploying applications to K8s/OpenShift33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Open-source tool for deploying applications to K8s/OpenShift
My
MyScale Telemetry, Tracing and Evaluating Your LLM Applications72%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
MyScale Telemetry, Tracing and Evaluating Your LLM Applications
Eu
Eunomia, Open Source Data Governance for LLM-Based Applications63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Eunomia, Open Source Data Governance for LLM-Based Applications
Op
Open-source real time data framework for LLM applications86%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Open-source real time data framework for LLM applications
TinyLens50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Minimalistic, open source analytics for web applications
Au
Autometrics – open-source observability stack84%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Autometrics – open-source observability stack
Op
OpenLIT – Open-Source LLM Observability with OpenTelemetry69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
OpenLIT – Open-Source LLM Observability with OpenTelemetry
Op
OpenLIT – Open-Source LLM Observability with OpenTelemetry69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
OpenLIT – Open-Source LLM Observability with OpenTelemetry
We
We made glhf.chat – run almost any open-source LLM, including 405B76%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
We made glhf.chat – run almost any open-source LLM, including 405B
Sl
SlideSelection, an Open Source Hooper Selection Implementation47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
SlideSelection, an Open Source Hooper Selection Implementation