TestBeacon: UI tests in the browser; we run them and email the results

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Hey HN, I wanted to show and get feedback on TestBeacon (https://testbeacon.com/), a project I've been working on for about a year and a half. TestBeacon allows users to write automated tests and workflows for their webapps without ever leaving the browser, using a new language called Flytrap (http://docs.flytrap.io). TestBeacon will in turn run these tests in the background on your schedule and email your team a report of the results, complete with screenshots and console/error logs. This allows for an easy way to pre-empt hidden UI & javascript issues before they surface after deployment; it's an added layer of security so you can be confident you won't be playing firefighter today. TestBeacon also provides a Chrome Extension (https://chrome.google.com/webstore/detail/testbeacon/iboncccoifgbjimboiphmlcbnnllodkn) to make it simpler to automate any website with Flytrap. It is especially helpful during the development process for quickly writing and running Flytrap scripts. TestBeacon is moving to an open Beta today, so if you think we can help you, please sign up and give us feedback on your impressions of the product! Full environment: TestBeacon (https://testbeacon.com and https://app.testbeacon.com) - Run automations for your webapp in an iframe using Flytrap. Flytrap (http://docs.flytrap.io) - Javascript library used to interpret Flytrap scripts and run automations for your webapp TestBeacon Chrome Extension (https://chrome.google.com/webstore/detail/testbeacon/iboncccoifgbjimboiphmlcbnnllodkn) - Extension to simplify automating your SPA during the development process.

Visit product View on Hacker NewsMar 15, 2016

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

94%94% 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

85%85% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive

47%47% 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.

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

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.

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