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NotionPDF.app – Better PDF Exports for Notion

Hacker News

NotionPDF.app – Better PDF Exports for Notion

We love to use Notion for everything, including preparing reports, analyses, and quotations for our customers. Unfortunately, a link is often not sufficient, and we have to export these documents to PDF. We were frustrated with Notion's PDF exports; the tables (databases) were just broken, and we often ran into issues with even the basic page layout. That's why we initially created an internal tool for Notion exports and have now published it at https://NotionPDF.app so others can benefit from it too. There are still some rough edges, such as the necessity to make your Notion page public and possibly many small printing bugs that we will be fixing as others report them.

Visit product View on Hacker NewsOct 12, 2023

Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

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

85%85% 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.

Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos

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

Hacker NewsMay not resonate with HN audience · Strong signals: io, including · Missing: https docs, excited, just released

48%48% 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 · Missing: mobile apps, ios, personal

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

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

34%34% 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

17%17% 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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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