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Todoist Emailer – Send your tasks to your email on a schedule

Hacker News

Todoist Emailer – Send your tasks to your email on a schedule

Hey HN, I'm excited to share a tool I built that has been a game-changer for my productivity: Todoist Emailer. What It Does: Scheduled Emails: Receive an email with a list of tasks whenever you run the script. Customizable Themes: Choose between dark mode and light mode for your email templates to fit your preferences. Task Grouping: Automatically group tasks by project or list them all together, depending on how you like to organize your day. Email Configuration: Set up custom subjects, preview text, and other email settings to tailor the experience to your liking. Why I Built It: I needed a way to keep my daily tasks front and center without constantly checking Todoist throughout the day. This script sends me a morning email to kickstart my day and an evening email to help me plan for tomorrow and/or the week(s) ahead. It’s lightweight, easy to set up, and customizable to fit different workflows. Let me know what you think!

Visit productView on Hacker NewsAug 24, 2024
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Actual performance

1points
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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: email, tasks · Missing: mac, agents, macos
83%83% 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.
Hacker NewsStrong engagement from HN community · Strong signals: excited, io · Missing: https docs, just released, exist
58%58% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive
57%57% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
53%53% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal
49%49% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
16%16% 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
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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