I built a tool to save and manage AI prompts on my local device

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I like most engineers these days, use Cursor, Claude Code and ChatGpt pretty much every day. And when I thought a prompt was good, I would usually save it to my Notion template, often creating templates. I know a lot of people might suggest using rules in cursor or mdc's, but that just became bloated for me. I love making CLI tools, and while going through this, I thought it would be a cool idea to build a CLI tool to save and manage prompts, all locally so that my data is with me. This resulted in me building PromptForge. It might seem pretty useless to some, but I thought it would be a nice thing to share if it helps others in their day to day use. You can find the link to the public installer at: https://github.com/aki21j/promptforge-releases/releases/late... Guide to use it is also available in the same repo.

Visit product View on Hacker NewsJun 25, 2025

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best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: cursor, claude, chatgpt · Missing: mac, agents, macos

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TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

38%38% 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, io · Missing: https docs, excited, just released

35%35% 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

14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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