PopUpFeed – I made a second screen app for Movies

Hacker News

Hey HN, I'm Corey and I created PopUpFeed. Quite Simply, the idea is facts which "popup" during the movie you're watching on your tablet or phone. It also tries to search the internet for facts on a movie. It will share trivia facts, filming locations, scenes, who's in the scene, songs playing, pictures and whatever else I can think of, all timed to your movie. There's also 3 movies that the audio detection works with. They are : - Back to the future - Jurassic Park - Top Gun: Maverick Give it a try! Whether it's good or sucks, let me know.

Visit product View on Hacker NewsApr 25, 2025

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

75%75% 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

61%61% 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: ide, io · Missing: https docs, excited, just released

47%47% 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

37%37% 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

26%26% 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 · Strong signals: audio · Missing: web3, chat, crypto

5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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