Asananas – Little tool to monitor resource allocation in Asana

Hacker News

Asananas helps you with your project management in Asana. It assumes that a single Asana project, e.g. called "Company Workstreams", is used for high-level project planning of your company or your team. Different projects/workstreams are reflected in Asana as tasks in the dedicated Asana project. These Asana tasks can be assigned to different people and have a start and a due date. Asananas helps you to visualize the allocation of your team members over time. Additionally, it helps you to sync your Asana tasks with Linear, a project management tool for software development teams. This is particularly useful for projects that are more technical in nature.

Visit product View on Hacker NewsOct 17, 2022

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

85%85% 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: visualize · Missing: mobile apps, ios, personal

53%53% 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

43%43% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

41%41% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

25%25% 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

10%10% 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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