Qocial Taskhub – Free project/team management tool

Hacker News

We have recently added a Project, Team and Task management tool for our users to Manage Customers, projects, tasks and Process Flow, notes, and reminders with a Local Storage option. All data are stored locally in your device; no data is transmitted remotely or stored in our server in the Basic plan. URL - https://qocial.com/landing/taskhub Demo Video - https://www.youtube.com/watch?v=C-_Z5-APjEA We would love your feedback. We have a few features that we are planning to integrate this week, and we believe can be very handful for our users, like: - Google, Apple, Outlook Calendar integration - Connecting with your Online Service for a Quote - Public view for your clients to preview interact ( paid plan with remote storage option ) Thanks

Visit product View on Hacker NewsOct 24, 2023

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2points

Did not reach leaderboard

Launch Intel predictions

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

79%79% 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.

Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

50%50% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Strong signals: video, google, users · Missing: mobile apps, ios, personal

48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: apple, google, user · Missing: mac, agents, macos

45%45% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive

39%39% 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

13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: paid · 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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