Voodoo Alerts – automated alerting for conversions

Hacker News

Hey HN, We just recently finished ("finished") building a project that has been long in the making and I wanted to show it off because I am a proud father. Voodoo Alerts is basically Pingdom but for live users and conversions. We monitor traffic across all devices, browsers, OS's, and locations to find any anomalies and alert you about them. The reason we built it is because we all worked together for a conversion optimization company during the past years and a lot of our big clients had no way to actively monitor segments and it was way too time consuming to constantly check over Google Analytics. So we took all our brain power and created something that did it autonomously! In addition to the automated alerting, there is the ability to set up custom alerts so you can track specific goals (i.e. alert me when I reach X conversion over X time, or when X referral ID reaches X visitors, etc.) Oh yeah, and we do server + SSL cert monitoring too. We think it's really cool and has been extremely helpful over the years that we've been building it out and modifying it. http://www.voodooalerts.com/ If you guys have any questions, ask away!

Visit product View on Hacker NewsSep 22, 2014

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

71%71% 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 · Strong signals: created · Missing: supports, reddit linkedin, podcasting

56%56% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

50%50% 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 · Strong signals: users · Missing: plus, platform, intuitive

40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

14%14% 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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