TP
TPI – Terraform provider for ML and self-recovering spot-instances
Hacker NewsTPI – Terraform provider for ML and self-recovering spot-instances
Share cardActual performance
12points
4comments
Made the leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto85%85% 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.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal52%52% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide · Missing: https docs, excited, just released49%49% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting23%23% 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, revenue18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos16%16% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
QueckSilver17%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Self-Made Mail Provider
Product Hunt+2ca
can you spot the InvisiMark?44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
can you spot the InvisiMark?
Hacker News6Te
Tempah – Reserve a Spot in Supermarket44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Tempah – Reserve a Spot in Supermarket
Hacker News1Te
Terraform Provider for Sentry39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Terraform Provider for Sentry
Hacker News1co
containerd and CNI Provider for OpenFaaS37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
containerd and CNI Provider for OpenFaaS
Hacker News2te
terraform-provider-factorio39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
terraform-provider-factorio
Hacker News55Te
Terraform Provider for Inexpensive Switches39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Terraform Provider for Inexpensive Switches
Hacker News90Se
Seamless ML training on AWS Spot instances48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Seamless ML training on AWS Spot instances
Hacker News6Sp
SpaGO, a self-contained ML/NLP library entirely in Go69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
SpaGO, a self-contained ML/NLP library entirely in Go
Hacker News18An
An annotation tool for ML and NLP63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
An annotation tool for ML and NLP
Hacker News76