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A Poor Man's Apple Intelligence

Hacker News

A Poor Man's Apple Intelligence

I built a poor man’s Apple Intelligence. Send messages, emails, call people, create/read reminders, calendar events, alarms, contacts, and more through Claude! Apple previously took down an ad (More Personalized Siri [1]) when the Siri AI update was delayed. One thing this project allows is Claude can now do the exact same example shown in the ad successfully. The project uses Apple shortcuts to give Claude the ability to text, call, email, read/create calendar events, alarms, reminders, etc. It works by allowing Claude to pass in text into the shortcuts app (ex `echo "func_name, arg1, arg2, arg3" > shortcuts run shortcut`) which is then parsed within the shortcut. It has one large shortcut consisting of a list of if statements that run if the action matches with the function name and uses the arguments to complete the action. Some actions (like listContacts or listPastCalendarEvents) print to stdout which Claude can use as context for future actions. One can easily add new actions to the shortcut as well. [1] https://www.macrumors.com/2025/03/10/apple-pulls-iphone-16-a...

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Actual performance

2points
2comments
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, claude, apple · Missing: agents, macos, agent
92%92% 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
80%80% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: personal · Missing: mobile apps, ios, entrepreneurs
61%61% 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 released
30%30% 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
28%28% 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, revenue
21%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, 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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