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Due.work – Organise Anything, Anywhere

Hacker News

Due.work – Organise Anything, Anywhere

Hey HN, I am Robins, co-founder of due.work (https://www.due.work/). Due.work is yet another simple todo list application more focused on getting the work done rather than getting you distracted by listing a bunch of tasks. We shamelessly decided to build yet another todo list application even after knowing there are already 100s of other productivity apps on the internet already, so why did be build it?? Actually, after working together with several companies and managing teams for years we actually never found a single productivity solution with whom we can really love using it. Problems with existing solutions: 1. When working with teams even on a very small project after some time tasks always get cluttered even if we are using several labels, priority, etc. 2. It was very difficult to get to know the list of all overdue tasks that gets missed its deadline. No matter how productive we are there is always a probability of missing a deadline especially when we work in a team. What we wanted was something to aggregate all overdue tasks in a seperate group and display it on top whenever a task gets delayed, so that we can decide what to do with those missed tasks. 3. There were no good tools that actually let you decide what you really want instead they enforce you to it. What if the product manager prefers a view to writing tasks which will have beautiful Gantt chart to displays all the timelines of the tasks whereas the Business analysts of the team want a board view like in trello where all tasks present is on status wise. whereas other people want just a simple todo list view which only displays those tasks that needs to be done today. 4. An online feature like (in google docs or sheets) was missing in all the productivity apps. When we are working together in teams we often want to know who else is also online/working right now. It helps to boost confidence among the team. With team showing online we can also, ask anyone at that moment only if we had any issue. 5. A simplistic tool to be used by all department of people was missing in all productivity platforms. Many good tools like trello or basecamp actually offer a simplistic solution. But they with basic feature only and we are only left to use several integrations to use it as a whole thus we end up paying more and more. This was some of the main reason, we decided to build an altogether new productivity platform due.work (https://www.due.work/). I would love to know your thoughts on the same. Today we are releasing Due.work 2.0 with apps for all platforms (web, mobile, and desktop). • Android • iOS • Mac OS • Windows OS • Linux • Chrome Extension • Firefox Extension • Browser with all device type support. We are super excited to launch ourselves on HN and also, eager to get your feedback on the Due.work (https://www.due.work/get-started)

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Actual performance

4points
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, google, apps · Missing: agents, macos, agent
93%93% 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: started, ios · Missing: supports, reddit linkedin, podcasting
91%91% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: excited, exist, existing · Missing: https docs, just released, lua
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: ios, apps, google · Missing: mobile apps, personal, entrepreneurs
54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews
33%33% 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
20%20% 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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