CrowdChunk

Deep insight into what consumers really think of mobile apps

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Reviews

Discussion

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Ryan HooverPro@rrhoover · Founder, Product Hunt
This is super useful for apps with a medium to large number of reviews. Here's the Product Hunt iOS app. Fun fact: I just got off a call with the team discussing our upcoming redesign of the app. 💃
Russ SmithMaker@russ_sm · Product Dude @ Codeq ᕕ( ᐕ )ᕗ
@rrhoover Correct. We're useful to apps that have a lot of feedback. (by proxy a lot of passionate users) Product Hunt has enough users to generate relevant scores. We haven't been able to find any strong correlation in similar feedback. 55% of your app reviews are positive feedback. That's a great back pocket stat.
Chris MessinaHunterPro@chrismessina · Product designer & entrepreneur
@rrhoover invite me to beta! The iOS app needs much love! :)
Ryan HooverPro@rrhoover · Founder, Product Hunt
@chrismessina agreed! It's going to be so 🔥 but we're a ways from a beta. I'll keep you posted!
Chris MessinaHunterPro@chrismessina · Product designer & entrepreneur
Really great (free?) alternative to App Annie. Slightly different offering, but I like the holistic, NLP-based approach.
Russ SmithMaker@russ_sm · Product Dude @ Codeq ᕕ( ᐕ )ᕗ
@chrismessina yep, we have a great lexical analysis engine looking at every review ever written about all apps on the iOS App Store and Google Play. What's cool is we look at entire statements, not just keywords, which is huge.
Chris MessinaHunterPro@chrismessina · Product designer & entrepreneur
@russ_sm right -- but so, a lot of reviews are gibberish. How do you make sense of those? Also, have you detected any oddities/fake reviews/bots/spam?
Russ SmithMaker@russ_sm · Product Dude @ Codeq ᕕ( ᐕ )ᕗ
@chrismessina At the moment we focus on english reviews. English based reviews are the easies for us to detect precise feedback and emotion. Codeq is a precision over recall shop. We do have some baked in logic to notice when there's noise or a bot involved, but it's a work in progress. So far we've found our signals to be statistically accurate based on our expectations. Our computational linguistics team has spent a massive amount of time doing supervised learning to ensure we're filtering out questionable data.
Russ SmithMaker@russ_sm · Product Dude @ Codeq ᕕ( ᐕ )ᕗ
@chrismessina thanks for hunting us dude. CrowdChunk has been a labor of love. We've gathered a great team of people who think critically about app reviews and we hope you’ll find some of the insights we’ve generated useful. Looking forward to folks feedback and critiques. Interested in what people have to say about your app? or a friends app? or an app category? Check us out.
Smart team, smart product.
Russ SmithMaker@russ_sm · Product Dude @ Codeq ᕕ( ᐕ )ᕗ
@drew team appreciates the kind words! :D
Mack Flavelle@mackflavelle · www.axiomzen.co
Seen samples of the kind of data these guys can pull. Very intriguing. Can't wait to dive in.