Cliperado – Automatically take screenshots of your whole service

Hacker News

Cliperado ( https://cliperado.com ) is an online tool to automatically take screenshots of your service and keep the shots up-to-date in your help guides. The idea for Cliperado came when we were creating visual step by step guides, to reduce our support volume, for an other service. We needed about 200 clips for each language. It took so much time to create just a few. I was pulling my hair out. Especially with the thought of having to check all the clips for changes in a month from now, manually. You’ve probably seen a few online tutorials with outdated and confusing screenshots. You probably have a some outdated screenshot in your own manuals. I get that, it is just too much work to keep these updated manually. So we created Cliperado, to automate this. How Cliperado works. Cliperado takes full page retina screenshots of your online service. It can take screenshots of pages behind a login screen as well, by filling out forms, clicking on buttons or hover over menus, etc , etc. You can crop a screenshot, add arrows or highlights, to create clips for step-by-step guides. Cliperado hosts these clips online. You can schedule Cliperado to refresh the screenshots weekly. Changed screenshots are highlighted in the visual sitemap, so you don’t have to hunt down changes. When you expect a screenshot to change with every refresh, you can mask certain areas, to exclude these from comparison. We hope you want to give Cliperado a try. We are looking forward to your feedback.

Visit product View on Hacker NewsMar 19, 2019

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best fitHighest predicted score across all platforms for this description.

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

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

45%45% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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Acquire.comPre-revenue stage for this audience · Strong signals: arr · Missing: mrr, revenue, profit

16%16% 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.

Incorrect prediction on native model

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