AI Event Scheduler – Create Google calendar events from selected text

Hacker News

Hi all! I have created a Chrome extension that makes scheduling events a breeze. AI Event Scheduler allows you to create Google Calendar events by simply selecting text on any webpage and clicking a button. The extension is perfect for anyone who frequently schedules events and wants to streamline their workflow. It's especially useful for professionals, students, or anyone who manages a busy calendar. I'd love to get your feedback and hear about your experience if you try it out! GitHub: https://github.com/htadashi/AI-Event-Scheduler Chrome Web Store: https://chromewebstore.google.com/detail/ai-event-scheduler/...

Visit product View on Hacker NewsAug 28, 2024

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3points

Did not reach leaderboard

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

64%64% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

TrustMRRFits verified-revenue profile · Strong signals: google · Missing: mobile apps, ios, personal

50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: google · Missing: mac, agents, macos

43%43% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

30%30% 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

19%19% predicted probability of success on Acquire.com, 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

16%16% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

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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