Umso is the fastest way for startups to go live. We automatically generate unique websites based on your use case. You answer questions on your product, and we'll show you what will work.
Taste might be a bit more popular than Umso. We know about 4 links to it since March 2021 and only 3 links to Umso. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Umso.com - to create a landing page that everyone on the team could quickly edit. Source: about 1 year ago
Notion.so is a tool that helps manage projects and all that good stuff. Many people plan their website content on Notion for their new website or landing page. Then one day, one guy, how's about building a tool that takes that content and turns into a website quickly. BOOM -> potion.so was born. This tool solves a few sound problems: simple to spin up a website through Notion without spending extra effort and... Source: over 2 years ago
First up - inspite of you getting positive feedback for the idea from your connections, put together a concept page using any of the template based site builders like a umso.com, webflow.com etc. And run a simple experiment to see how many of your target audience signs up to get an early bird access to your biz/product. You can also use this to build your initial subscriber/mailing list. Source: over 2 years ago
Try taste.io, you cannot find users, but it will suggest you movies that people with similar tastes liked. Source: almost 2 years ago
On a social website (taste.io) I read a comment complaining about ‘bi- and homophobia sprinkled throughout [Elementary]’. The site doesn’t allow to react to comments so I couldn’t ask the person, but their comment got me thinking and I would like to hear people’s opinion: Do you think the show has some problematic moments in regards to lgbt+ representation and if yes, can you provide concrete examples? Source: over 2 years ago
It's John from taste.io, I think it depends on the method you want to use and where you're able to retrieve data to train the model. With a short amount of time and limited resources, you won't have the luxury of creating a collaborative filtering model....content-filtering is possible if you can also be resourceful with APIs + build crawlers. But, the results might be mediocre...meaning, the recommendations... Source: almost 3 years ago
I have been asked to build a recommender system for TV shows at large scale, meaning thousands of users across the entire libraries of services like Netflix, Hulu and Amazon Prime. Something like taste.io but completely focussed on TV shows and not movies. My main concern is the complexity of this project, I have read up on recommender systems, and they seem fairly straightforward, its the scale that scares me. Source: almost 3 years ago
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IMDb - Internet Movie Database