Pr
Procman, a TUI for run Procfile based app locally
Hacker NewsProcman, a TUI for run Procfile based app locally
Hello, I wanted to share this small cli tool I made for run Procfile apps (Rails apps in my case). This is an alternative to Foreman or overmind but in TUI version. Take a look, any feedback is welcome. Thanks.
Share cardActual performance
2points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting75%75% 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.
Product HuntOn track for Day 1 leaderboard · Strong signals: apps · Missing: mac, agents, macos70%70% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: apps · Missing: mobile apps, ios, personal45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released39%39% 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, intuitive24%24% 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, revenue21%21% 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, crypto5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Ru
Run LLMs locally with WebGPU55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Run LLMs locally with WebGPU
Hacker News2I
I made a polling app based on Quadratic Voting64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I made a polling app based on Quadratic Voting
Hacker News4Ru
Run LLM Locally on Android45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Run LLM Locally on Android
Hacker News2Lu
Lug – run Python locally or in the cloud, paired with a container54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Lug – run Python locally or in the cloud, paired with a container
Hacker News5Ru
Run meteor.js locally without server67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Run meteor.js locally without server
Hacker News4Ru
Run your GitHub Actions locally32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Run your GitHub Actions locally
Hacker News7Le
Lemonade: Run LLMs Locally with GPU and NPU Acceleration83%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Lemonade: Run LLMs Locally with GPU and NPU Acceleration
Hacker News15Co
Combobulator – a locally run, management web-app for Amazon Redshift61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Combobulator – a locally run, management web-app for Amazon Redshift
Hacker News1Ms
Msgscript Run Lua functions based on messages from NATS73%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Msgscript Run Lua functions based on messages from NATS
Hacker News2Go
Gophergala 2016 project to run nagios plugins locally61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Gophergala 2016 project to run nagios plugins locally
Hacker News1