WSISW by Intersect Labs

Know when to give up on a TV Show

2 followers

Know when to give up on a TV Show

2 followers

WSISW is a TV Show guide, made by data scientists, that lets you: 1. Find Top 10 TV Shows that won't let you down; 2. Learn when to stop watching a TV Show; or 3. Know if you should give a chance to a TV Show (even if it starts bad)

Launch tags:Tech

Launch Team

Intersect Labs

Maker

Hi Product Hunt! Remember Game of Thrones? The folks at http://reddit.com/r/freefolk/ sure do. We all fell in love with the show. Streets would be empty on Sunday evenings. Fans couldn't wait for the next season to start. Aficionados would have countless theories... And then just like that, season 8 happened. Hearts were broken and swear words were uttered. …and this isn’t an anomaly. Time and again, shows take radical shifts in quality without warning. We cling on, hoping maybe -- just maybe -- the next episode will be different. It’s hard to know: **when should I stop watching?** But that’s about to change. We present to you a data-driven guide to TV shows: which ones will (and won’t) let you down, and when to stop watching them. Now, you are able to search for your favorite TV Shows and be prepared to be surprised or maybe confirm your theories: https://whenshouldistopwatching.... This was a fun data project for us - we hope you will find it entertaining! Check your fave TV Show rating and let us know in the comments. Best, Intersect Labs team

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5yr ago

Ohkay, so I have been using it for approximately half an hour, and I really love it. Just wanted to let you know what a great job you did!!

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5yr ago

Intersect Labs

Maker

@harsh_gelda Thanks so much Harsh! We were hoping it would be useful!

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5yr ago

New York Undercover is another such show, from an earlier era, that fell apart after season 3 and was cancelled after season 4.

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5yr ago

Interesting idea. The chart is probably better than the the algo. Checking out Buffy, and while it's certainly arguable that you may not want to watch all the way through, it seems incredibly strange that your algorithm recommends stopping immediately before two of the better rated episodes (including the 2nd highest rated "Hush"), instead of recommending viewers stop watching 2-4 episodes later, when the reviews drop precipitously.

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5yr ago