Visualizing Startup Management with Timeline

Hacker News

Hi everyone, We are building a web app for startup founders. Like Jira, Notion, or ClickUp, we support task management. However, we think time is more important than the tasks, because startups need to build product fast, and shift focus fast. Therefore, we built one universal timeline to help you easily manage tasks, clients, projects and deadlines, so you can directly compare the important dates from all your departments and find one which matter the most now. We also support task auto scheduling, so when you shift your team to a new direction, you just need to change the priority, and we help you reschedule all the tasks in you team. So you don't need to manually updating the start date or the end date fields in Jira, Notion, or ClickUp. You may have heard of Motion ( https://www.usemotion.com/ ), which also supports task auto scheduling. Unlike it, our app focuses on serving the startup teams and innovation teams. So we also have the goal tracking feature to help startups meet the annual growth goal from every day. We are actively learning, and we want to build something people want. We are looking for any feedback from you. Best, Zhe

Visit product View on Hacker NewsSep 8, 2022

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Did not reach leaderboard

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Indie HackersFits the IH revenue-focused audience · Strong signals: supports · Missing: reddit linkedin, podcasting, created

85%85% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

78%78% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

36%36% 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 · Missing: plus, platform, intuitive

21%21% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: growth, active · 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.

Correct prediction on native model

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