API to check where a tv show or movie is available; Netflix, Amazon etc.

Hacker News

Here is an API we created to check availability of a TV show or Movie across multiple services https://market.mashape.com/utelly/utelly On Demand Services: - uk Netflix Amazon Prime Amazon Instant iTunes Now TV TalkTalk TV Store Google Play BBC iPlayer All 4 My 5 Rakuten TV ITV Hub - us Netflix Amazon Prime Amazon Instant iTunes Live TV: - uk All channels - BBC 1, BBC 2, ITV 1, Channel 4, Sky 1... More countries/services are being added. Let us know which ones you want !

Visit product View on Hacker NewsOct 30, 2017

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

68%68% 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.

Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released

52%52% 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: google · Missing: mobile apps, ios, personal

35%35% 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.

Product HuntUnlikely to reach the leaderboard · Strong signals: google · Missing: mac, agents, macos

15%15% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

12%12% 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

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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