Ri

Right-click any text on macOS to add it to your calendar (open-source)

Hacker News

Right-click any text on macOS to add it to your calendar (open-source)

I got tired of Apple Mail not reliably flagging calendar events. And even when it did work, other events shared on iMessage, Slack, or random webpages still had to be manually copy-pasted into my Calendar. This got frustrating enough that I decided to claude-code a little utility to help me with this. Here's how it works: You select any text on your Mac — an email, a Slack message, a webpage — right-click, hit "Add to Calendar," and it uses Gemini Flash to parse out the event title, date/time, location, and notes. You get an editable preview before anything gets saved to Apple Calendar. It's bringing me joy everyday. Hope it helps you too!

Visit product View on Hacker NewsFeb 26, 2026

Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

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

98%98% 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

81%81% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

45%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: ide, io · Missing: https docs, excited, just released

40%40% 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

26%26% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

23%23% predicted probability of success on AppSumo, 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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