Feedback Fish VS Taste
Compare Feedback Fish VS Taste and see what are their differences
Create in-app experiences with the most straightforward product adoption platform — quick implementation, lasting
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featured
Feedback Fish
Canny
Matter
Upvoty
productboard
Freddy Feedback
Customer Feedback Portal
Hotjar
Taste
Letterboxd
IMDb
And Chill
MovieLens
Simkl
Criticker
TasteDive
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Based on our record, Feedback Fish should be more popular than Taste. It has been mentiond 6 times since March 2021. 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.
With three friends, we built and launched a SaaS product over a weekend and live-streamed ourselves doing it[0]: https://feedback.fish It was a ton of fun, about 1,000 people tuned in over the course of those ~60 hours. The product was acquired about a year later. [0]: https://productweekend.live. - Source: Hacker News / 3 months ago
You are literally copying https://feedback.fish/. Source: almost 2 years ago
You can use an embeddable widget like feedback fish or question to have your users report bugs & ideas. Feedback fish lets them take a screenshot, question lets them record a video. Source: over 2 years ago
What about feedback.fish ? What's their UVP and competitive advantage? Source: over 2 years ago
Inspired by feedback.fish much? ;). 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
Canny - Canny helps you collect and organize feature requests to better understand customer needs and prioritize your roadmap.
Letterboxd - Letterboxd is a social site for sharing your taste in film, now in public beta.
Matter - Create a feedback-focused culture in Slack with Matter!
IMDb - Internet Movie Database
Upvoty - User feedback in 1 simple overview 🔥
And Chill - andchill is a new way of enjoying movies and videos with your friends.