Sh

Share, collaborate, and track your to-do list with friends in real-time

Hacker News

Share, collaborate, and track your to-do list with friends in real-time

Problem: Individuals often have a need to keep track of tasks and responsibilities, but it can be difficult to manage these tasks effectively when they are written on paper or saved in a personal document that is not easily accessible to others. This can lead to confusion and inefficient use of time and resources. Solution: An online todo list is a web-based tool that allows individuals to create, manage, and share their to-do lists in real-time with friends and colleagues. Users can create tasks and track progress towards completion, all within a single, centralized platform. The real-time collaboration feature allows users to see updates made by others in real-time, ensuring that everyone is on the same page and working towards the same goals. This helps to improve task management and productivity by providing a clear and organized way to track tasks.

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Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: user, single, tasks · Missing: mac, agents, macos
80%80% 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.
TrustMRRFits verified-revenue profile · Strong signals: personal, users, way · Missing: mobile apps, ios, entrepreneurs
63%63% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
53%53% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform, efficient, users · Missing: plus, intuitive, reviews
49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
47%47% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
8%8% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: collaborate · Missing: web3, chat, crypto
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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