Find a Film Fast

Movie recommendations personalised for you



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Sarat PediredlaHunter@saratpediredla · hedgehog lab
Don't know what film to watch? Welcome to FAFF, where social networking, advanced algorithms and an intuitive interface combine to bring you the best movie recommendations, fast. Stop searching and start finding. Latest research shows the best way to get recommended films you will enjoy is from people like you. It's the way forward and the more you get involved the better it gets. No looking back - this is how to find your film fast.
Ben Tossell@bentossell · Co-Founder, Token Daily
I think we all have to come to the conclusion that it will always be a seemingly impossible task to find a movie to watch - there are websites, apps, bots?, flipping a coin, etc etc AND WE STILL NEVER CAN DECIIIIIIIDE?!?!?!?!
Sarat PediredlaHunter@saratpediredla · hedgehog lab
@bentossell I agree. It's a super hard job that people like Google are trying to solve with things like Assistant but the guys at FAFF are working on making it more fun & less tedious. This is just an MVP so plenty more to come.
connor norvell@connor_norvell · Web and Graphic Designer
Love the concept. Only problem is the algorithm doesn't work well initially. For example, I rated probably 50 movies, mostly thrillers were "love" (zodiac, fight club, gone girl, kill bill, etc.) and then when i went to recommendations it was listing 100% disney movies. which I am fine with, but have 0 relation to the movies I had just rated. I am sure over time it will get better, as it learns my likes more. But currently it wasn't working as expected. Exciting Idea! i will continue using it to see if the algorithm improves! Great work!
Jay ClarkMaker@jayclark___
@connor_norvell that's strange that you're getting them results back, it works by matching you to people with similar ratings to yourself and then showing you films they've seen and you haven't. This obviously means that as you rate more and as we get more users your recommendations will undoubtably get better! Thanks for the feedback 😄
Sarat PediredlaHunter@saratpediredla · hedgehog lab
@connor_norvell As Jay says, the key here is matching you to others who have similar likes. As user numbers increase, our algorithm will improve. We will also be looking to improve the machine learning element as we move out of MVP.
Dylan McKee@djmckee · Maker of things.
Really cool app, loving the UX. Just needs some kinda 'Netflix filter' so it can recommend me stuff that's on the steaming services I have 😄
Sarat PediredlaHunter@saratpediredla · hedgehog lab
@djmckee Thanks Dylan. Thats gone into the roadmap :)
Stelios Pardalakis@stelios · Head of Search, Stellar Search
Are you planning on connecting the app with Netflix or Amazon prime?
Sarat PediredlaHunter@saratpediredla · hedgehog lab
@stelios Its being considered as part of the roadmap but no concrete plans yet