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Feeling-based movie search

Hacker News

Feeling-based movie search

My dad and I had a little idea to build a movie site, where the movies are tagged by what feelings they evoke instead of just genres. This was influenced by how playlists are tagged on 8tracks, and how game levels are tagged in LittleBigPlanet. We threw something functional together, and would like to get some feedback on the idea/site. It allows anyone to tag movies with a variety of adjectives, and for a user to search by them. This sort of tagging would allow us to find movies that are alike, a user to track which types of movies he/she likes, and offer a recommendation system based on the data. http://flickseeker.com

Visit product View on Hacker NewsJan 5, 2014

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

73%73% 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.

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

57%57% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

49%49% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

32%32% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

10%10% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

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