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Planorio, a booking management system

Hacker News

Planorio, a booking management system

Hello! For the last year I've been working on a side project, a booking management system. Among others, it allows anyone who owns a business that accepts bookings to manage them, to communicate with customers, to easily create a personalized website or to embed a calendar widget on any existing website. Link: https://www.planorio.com There is still a long way to go, but I feel that now it is ready for some very direct feedback. :) It mainly consists of an Angular frontend, a backend written in Node.js and some small tools written in PHP and Kotlin. I also created a hybrid mobile application in Ionic. Thanks in advance to everyone who takes a look at it!

Visit product View on Hacker NewsDec 24, 2019

Actual performance

6points

Did not reach leaderboard

Launch Intel predictions

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

87%87% 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: personal, way · Missing: mobile apps, ios, entrepreneurs

57%57% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

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

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

38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

31%31% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

12%12% 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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