Ask your visitors to test your website

Hacker News

I recently launched a new feature of my startup that allows you to ask your site visitors to record a usability test for your website. You get a couple lines of javascript code that you embed on any page of your site you want the user to begin their test. You can even entice them with a special incentive for giving you their feedback. An example of the widget in action can be seen at http://www.betapunch.com/popover_window. What do you think of the widget? Is it useful? Would you use it to test your own site? All tester videos get uploaded into your account for only you to view - and you get an email notifying when each test is completed. If you want to give it a go on your own website let me know and I'd be glad to get you set up with a widget and some free test credits.

Visit product View on Hacker NewsMay 15, 2013

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Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

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

77%77% 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

75%75% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

52%52% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

39%39% 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: video · Missing: mobile apps, ios, personal

27%27% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

13%13% 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

5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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