Bring LLMs to Any macOS App with a Simple Shortcut (and Your Voice)

Hacker News

Hey HN, I built Promptly, a macOS app that lets you use any LLM (ChatGPT, Claude, Gemini, OLLama) anywhere with a simple hotkey. Highlight text, press a shortcut, and edit or generate content instantly—either by typing or using voice input. There's also a shortcut to jump straight into voice mode and it'll auto-detect when you're finished to execute the task. I made this because I found myself constantly switching between apps and sites to use AI to edit tweets, start documents off, and reword slack messages and wanted something native, fast, and frictionless. There’s no cloud processing—just direct API calls with your own keys (or no keys, just Ollama models). I’d love feedback—what do you think? Would this fit into your workflow? Anything missing that would make it more useful?

Visit product View on Hacker NewsFeb 14, 2025

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

99%99% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

70%70% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: llama, 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

29%29% 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.

Correct prediction on native model

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