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New A/B Testing Service

Hacker News

New A/B Testing Service

Hey Guys -- Looking for feedback, especially from developers, on an A/B testing service that I launched last week. It's a very simple API based service for calculating and automatically displaying a/b test winners. Here's the URL: http://pixelgauge.com The idea came about because I wanted to A/B test a number of things… different home pages, email body, email subjects, etc. and I didn't see anything out there that could accomplish what I wanted as simple as I'd like it to. What I'm not trying to do is replace someone like Optimizely, whose service is awesome for making basic variations on existing pages… though you can certainly use PixelGauge for just that.

Visit product View on Hacker NewsJun 25, 2012

Actual performance

4points

6comments

Did not reach leaderboard

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best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

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TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

35%35% 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 · Missing: plus, platform, intuitive

33%33% 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

17%17% 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.

Correct prediction on native model

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