User Testing for the Lean Startup

Hacker News

http://www.betapunch.com: Sign up / Submit startup, get a unique URL to launch our screen recorder, share the link with your beta sign ups or anybody you want to test your site, they record and upload their video which sends the feedback directly to your startup page. Each startup gets a unique URL to share with testers. Send the URL to them via email or place the URL on your website. For the screen recorder I am tapping into the Screenr.com API. Would love to hear the HN community opinion and if it is something you would use to get usability testing for your own startup. Currently our free trial only allows for 3 user tests and then your URL will be disabled from receiving future recordings. But I would happy to dish out more free tests for people who provide me with feedback for BetaPunch. Keep in mind you source your own testers, we only provide you with guaranteed testers from our community if you choose the paid plan. Our paid option is $39 which allows for unlimited user tests via the URL we provide you and we also guarantee 3 user tests from members of our community. Look forward to your feedback =)

Visit product View on Hacker NewsAug 23, 2012

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Launch Intel predictions

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

85%85% 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.

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

42%42% 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

39%39% 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

29%29% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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