SceneXtras – Chat with Netflix's AI Cast via Chrome Extension

Hacker News

Hey HN, A good friend an I have been building this passion project on nights and weekends working remotely. Its a Chrome extension that aims make your streaming experience interactive. SceneXtras adds a chatbot interface to your streaming platforms. Imagine Tony Stark explaining his tech while you're watching Iron Man. Designed to be platform-agnostic. Based on demand we can add any number of streaming service. Additionally we have SceneGPT which is for general questions around a film or series. When you're six episodes deep into that foreign political thriller and forgot who's screwing over who, you can ask it to give explantations without leaving the window. You can think of it like DVD commentary meets Pop Up Video meets Replika for TV & movies. This is my first Show HN. So please be gentle :)

Visit product View on Hacker NewsSep 29, 2023

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

76%76% 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.

AppSumoStrong fit for a featured deal · Strong signals: platform, interface · Missing: plus, intuitive, reviews

53%53% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: video · Missing: mobile apps, ios, personal

50%50% predicted probability of success on TrustMRR, 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

40%40% 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

39%39% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency

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

Correct prediction on native model

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