My Executive Assistant – An AI-Enabled Virtual Executive Assistant

Hacker News

Hello HN community! I'm excited to introduce My Executive Assistant, an AI-powered virtual assistant designed to optimize your professional life. Leveraging GPT Actions, My Executive Assistant specializes in managing emails, scheduling meetings, providing reminders, and executing tasks with precision and a personal touch. Features: Email Management: Intelligent sorting, prioritization, and response suggestions for your inbox. Scheduling and Calendar Integration: Effortlessly manage meetings and events with automated scheduling and reminders. Task Execution: Integration with Zapier to automate various tasks, from data entry to complex workflows. Professional and Personalized Service: Communicates in a professional, warm tone, adapting to your specific work style and preferences. Privacy and Security Focused: Helps you set up your own AI Actions (via Zapier), so your data stays private to you. Our aim is to make your work life more efficient and less stressful. Whether you're a busy executive, a startup founder, or a freelancer, My Executive Assistant is here to help you focus on what matters most. We're currently in beta and would love to get your feedback to make My Executive Assistant even better. Try it out and let us know your thoughts! Thank you for your support!

Visit product View on Hacker NewsNov 15, 2023

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Actual performance

4points

1comments

Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: inbox, email, tasks · Missing: mac, agents, macos

85%85% 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

83%83% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: excited, io · Missing: https docs, just released, exist

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.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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