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TaskUp.com: Tasks by Email & Text Message, and more

Hacker News

TaskUp.com: Tasks by Email & Text Message, and more

Check out TaskUp at https://taskup.com Since our very early alpha release less than two months ago, we've been working non-stop on making TaskUp an awesome product. Today, a few thousand users later and many lessons learned (from a lot of Hacker News comments, we might add!), we are adding a few new features that our users told us they want: 1. Tasks by Email TaskUp now allows you to turn your emails into tasks for yourself and your co-workers & friends! You can now add up to 5 additional email addresses through which you can receive tasks in your account. That's more than plenty for all your personal and work email accounts! - To create a task for yourself: Reply or Forward the email to/cc/bcc 'track@taskup.com' - To Create a task for someone else: Reply or Forward the email to the person e.g. name@domain.com and cc/bcc: track@taskup.com Note: The subject of the email becomes the 'Task Name' and the email content appears in the 'Notes' As we continue to develop our mobile apps, we wanted to give our users an alternate way to get their tasks in on the go. Enter task by Text Message! To get set up, sign in, click on the Settings icon in the bottom left corner of TaskUp, and enter your cell phone number in the "Incoming Tasks" tab. Once set up, text (617) 300-0437 with your tasks and they will be automatically created in your inbox! Also, we have a lot of enhancements, such as cross-browser instant sync, notifications when tasks are incoming, a calendar view, a kanban view, YouTube tutorial videos, and many more. Also, we blog at http://blog.taskup.com Stay tuned next week for a rewards system that will rock your GTD socks off! We would love to get some feedback and comments on our beta release!

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Actual performance

5points
2comments
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: apps, user, new · Missing: mac, agents, macos
89%89% 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: created · Missing: supports, reddit linkedin, podcasting
70%70% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: hacker news, ide, io · Missing: https docs, excited, just released
68%68% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Strong signals: mobile apps, personal, apps · Missing: ios, entrepreneurs, google
57%57% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive
36%36% 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
15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: reward · 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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