PD
PDFx – Extract Metadata and URLs from PDFs, and Download Referenced PDFs
Hacker NewsPDFx – Extract Metadata and URLs from PDFs, and Download Referenced PDFs
Share cardActual performance
93points
35comments
Made the leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto83%83% predicted probability of success on BetaList, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal52%52% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released50%50% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting23%23% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos23%23% 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, revenue16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Ex
Extract metadata from a filename43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Extract metadata from a filename
Hacker News3xu
xurls – Extract urls from text in Go47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
xurls – Extract urls from text in Go
Hacker News8Bo
Bookmarklet for Previewing References in PDFs54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Bookmarklet for Previewing References in PDFs
Hacker News9PD
PDFy – an Imgur for PDFs71%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
PDFy – an Imgur for PDFs
Hacker News2Ho
Hotpdf – Search and Extract text within PDFs66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Hotpdf – Search and Extract text within PDFs
Hacker News10He
HeadlessPDF – An API for Generating PDFs from URLs53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
HeadlessPDF – An API for Generating PDFs from URLs
Hacker News1CanaryPDF14%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Extract tables from PDFs — in your browser.
Indie Hackers1dataAn
An app for comparing PDFs57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
An app for comparing PDFs
Hacker News1Pa
ParePdf, an app for comparing pdfs57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
ParePdf, an app for comparing pdfs
Hacker News9Ex
Excalibur – A web interface to extract tabular data from PDFs58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Excalibur – A web interface to extract tabular data from PDFs
Hacker News2