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a Yelp for iOS developers

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a Yelp for iOS developers

I came up with this idea "a Yelp for developers" when talking with my colleagues. My hypothesis is that, it would be very helpful if we know more about a library before choosing to use it. It's similar to that we want to know more about a restaurant by checking Yelp before visiting it. For example, there're a lot of videos on Youtube advocating how great AsyncDisplayKit (an performant UI library for iOS) is. But it's hard to tell how prod-ready it is. Instead of investing in time to try it out, it would be awesome if I can know about how other people feel about using it. Following this hypothesis, I put together a prototype to showcase the idea: http://branchtip.com/ As an iOS engineer by day, it's currently only for iOS, just so that I can contribute some reviews to it. What do you think of this idea? Feedback would be really appreciated. Cheers, - Kenny

Visit productView on Hacker NewsMar 21, 2018
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Actual performance

3points
3comments
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: using · Missing: mac, agents, macos
70%70% 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: ios · Missing: supports, reddit linkedin, podcasting
68%68% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
58%58% 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 · Strong signals: ios, video · Missing: mobile apps, personal, entrepreneurs
42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: reviews · Missing: plus, platform, intuitive
32%32% 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
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.

Incorrect prediction on native model

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