Pr

Print-A-Planner – create customizable printable planners and journals

Hacker News

Print-A-Planner – create customizable printable planners and journals

I created Print-a-Planner - a web app that helps you create personalized printable day, week, and month planners and journals. We all have unique ways of journaling and organizing our days; our planner should reflect that. With Print-a-Planner, you can personalize your paper-based planners to suit your specific needs and preferences. It's completely free and easy to use. Print-a-Planner is perfect for you whether you're a student, a working professional, or just someone who likes to stay organized. I would love to hear your feedback and any suggestions you have for any feature that I can add to make it more useful for you. I'll be happy to hear your ideas and implement them in future updates.

Visit product View on Hacker NewsJan 12, 2023

Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

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TrustMRRFits verified-revenue profile · Strong signals: personal, month, way · Missing: mobile apps, ios, entrepreneurs

54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

53%53% 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

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

Hacker NewsMay not resonate with HN audience · Strong signals: ide, 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.

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

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

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

16%16% 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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