Vailo, All-in-One Project Management App

Hacker News

Hi, I have made (alone) an SaaS app. My target is to concentrate many tools in one place and reduce paying for multiple subscriptions. What I have for now: - Two type of users (Manager and Worker) - Task creation on cloud - Task Decision system - Task History - Notification system - Analytic per Task - Analytic per Workspace - Dynamic statuses - Actions My plan is to add: - Media storage - Advanced mailing system - Internal chat - Task prioritisation by AI ...and more My roadmap below: https://slender-hen-12e.notion.site/Vailo-Roadmap-10309dcded... What do you think?

Visit product View on Hacker NewsDec 21, 2024

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Actual performance

2points

1comments

Did not reach leaderboard

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

75%75% 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.

TrustMRRFits verified-revenue profile · Strong signals: users · Missing: mobile apps, ios, personal

63%63% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntOn track for Day 1 leaderboard · Strong signals: user, project management · Missing: mac, agents, macos

51%51% 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

40%40% predicted probability of success on AppSumo, 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

37%37% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency

24%24% predicted probability of success on BetaList, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: saas, subscription · Missing: arr, mrr, revenue

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

Correct prediction on native model

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