XSLT and graphical outline viewer for your sitemap.xml

Hacker News

You generated a sitemap.xml for Google with a list of every page on your website. Why not let humans look at it too? I was experimenting with Material UI and wanted to use it in a real project, so I made a graphical outline viewer and the necessary XSLT files so you can easily integrate it: save a file and add 1 line to the xml. Obviously, it works best if you have a nice hierarchical URL structure. The graphical viewer: https://sitemap-viewer.fileformat.info/ Integration instructions: https://www.sitemap.style/ Demo: https://resolve.rs/sitemap.xml Source & credits: https://github.com/FileFormatInfo/sitemap-viewer?tab=readme-...

Visit product View on Hacker NewsFeb 17, 2025

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Actual performance

5points

Did not reach leaderboard

Launch Intel predictions

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

65%65% 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.

TrustMRRFits verified-revenue profile · Strong signals: google · Missing: mobile apps, ios, personal

50%50% predicted probability of success on TrustMRR, 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

47%47% 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, intuitive

41%41% 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, podcasting

40%40% predicted probability of success on Indie Hackers, 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.

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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