Embed PDF Viewing into Webpage

Hacker News

Web developers can now embed PDF documents into their apps and web pages using Adobe Document Cloud View SDK. With a few lines of code, you can control how the PDF appears using pre-configured embed modes such as in-line, full window, or sized container. You can customize viewing experiences with commenting, print, download, and save functions for your PDFs. Document Cloud View SDK also provides out-of-the-box integration with Adobe Analytics, so you can quickly gather insights and analytics on how your audience is engaging with the PDFs with little or no coding required. Visit https://www.adobe.io/apis/documentcloud/dcsdk/viewsdk.html

Visit product View on Hacker NewsDec 13, 2019

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Actual performance

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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: apps, using, coding · Missing: mac, agents, macos

83%83% predicted probability of success on Product Hunt, 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 · Missing: supports, reddit linkedin, podcasting

77%77% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

51%51% 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 · Strong signals: apps · Missing: mobile apps, ios, personal

40%40% 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

35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

18%18% predicted probability of success on BetaList, based on ML models trained on real launch data.

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.

Incorrect prediction on native model

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