Sounds pretty similar to the situation I found myself in. I discovered a few newsletters/tools: trending insights (free), exploding topics ($39/mo), and trends.co ($300/ yr). Source: 10 months ago

I also recommend subscribing to newsletters like new venture weekly (free) or Exploding Topics (freemium) for business ideas. Source: 11 months ago

Best to start with what you're good at doing, check websites like exploding topics and answer the public to see if there is hype/market around your skillset. Get started by helping people in that niche for free, use AI tools to supercharge your work and find clients. Rinse and repeat until you start making money. Source: 12 months ago

There are places that can even help you find the perfect niche to go into like exploding niches, exploding topics to name a few. Source: 12 months ago

The good news for you is starting newsletters is easier than ever. If you are not interested in starting something in your field newsletters like exploding niches or websites like exploding topics are great resources to get ideas. Source: 12 months 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