iP

iPad Photography Portfolio App

Hacker News

iPad Photography Portfolio App

Hey guys, We're a full-time photography studio who have invested a bit of time and money into getting an app developed for our client meetings. The clients we've shown have loved it so much we figured we should release it to the world. http://www.youtube.com/watch?v=T7cp-EmHiyI It should be released 2nd April and I'd love to get some input from the developers here at HN. I know for sure as Photographers first that we've a lot more to put into this app in the future but there's been a lot of buzz in our community to get this thing out there. All the input you guys could drop on this would rock, we're even looking for future developers to take this project on to take this thing to the next level so please do get in touch with me hello@prezentapp.com Cheers guys! Avid wannabe geek signing off.

Visit product View on Hacker NewsMar 7, 2013

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

83%83% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos

64%64% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

48%48% 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 · Missing: mobile apps, ios, personal

30%30% 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

30%30% 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

21%21% 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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