Tpm – A package manager for Terraform providers

Hacker News

tpm is a "package manager" (like npm, gem, pip, etc.) but for installing and uninstalling Terraform providers without requiring Terraform. I needed a way to cache a large number of Terraform providers without the need to clone code repositories and run "terraform init" for each project on the golden image of our CI system. Caching Terraform providers prevents errors when many Terraform commands run in parallel and need to download the same provider (related issue: https://github.com/runatlantis/atlantis/issues/2242 ). On the other hand, this tool is the perfect excuse for me to gain real-world experience with Go :D

Visit product View on Hacker NewsApr 22, 2023

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Indie HackersFits the IH revenue-focused audience · Strong signals: para · Missing: supports, reddit linkedin, podcasting

65%65% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

TrustMRRFits verified-revenue profile · Strong signals: way, para · Missing: mobile apps, ios, personal

61%61% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: code · Missing: mac, agents, macos

47%47% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide · Missing: https docs, excited, just released

41%41% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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