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Use ChatGPT with Apple Shortcuts

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Use ChatGPT with Apple Shortcuts

This project was born from my passion for every Apple product and the entire ecosystem, along with the power of ChatGPT. I was tired of copy-pasting and switching between apps on my Mac or iPhone, so I had this crazy idea to bring ChatGPT into every app that I use. This was possible only with the Apple Shortcuts app. Very few people know about its power and potential, so I took this chance and built COPILOT. https://meetcopilot.app But I also loved the idea of AI agents using various tools so much that I leveraged OpenAI's function-calling feature to accomplish that. Now, no matter what app I am using on my iPhone or Mac, the selected text or the current webpage from Safari will be passed automatically to COPILOT. Then I just ask it whatever I need and watch until it reaches the goal autonomously. There was also another problem with ChatGPT - the knowledge cutoff. So I also integrated Google search and web scraping into it. Now, whenever my request needs real-time information, like what is the latest version of macOS, it will use these tools to gather the data and then give me the correct response. Being an app built with Apple Shortcuts, all its "code", called actions, is actually open-source. I'm selling a Premium version of it to earn some revenue for my time. I would love to hear all your thoughts on it! Thank you so much!

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Actual performance

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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, agents, macos · Missing: cursor, claude, model
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 · Missing: supports, reddit linkedin, podcasting
97%97% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: apps, google · Missing: mobile apps, ios, personal
41%41% 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, io · Missing: https docs, excited, just released
37%37% 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, intuitive
36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: revenue · Missing: arr, mrr, profit
16%16% 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.

Incorrect prediction on native model

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