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Just-One-Page-PDF – support batch save as PDF

Hacker News

Just-One-Page-PDF – support batch save as PDF

A Chrome extension that supports saving any web page as a one-page PDF main feature: 1. one-page PDF for entire webpage 2. multiple-page PDF for entire webpage 3. support custom paper size, eg. window size, A4, A3, Letter and so on. 4. like screenshot, but PDF format. 5. export PDF with multiple tabs at one time (see youtube demo) compare with the browser's build-in printing function 1. no print preview dialog, direct download 2. customize any page size as you want 3. multiple tabs to export PDF at one time 4. disable or enable print media as required 5. customize style before export PDF

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Actual performance

5points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: supports · Missing: reddit linkedin, podcasting, created
71%71% 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 HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
49%49% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
39%39% 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
30%30% 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
24%24% 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
14%14% 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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