
Exploding Topics
Glimpse
Google Trends
Treendly
Trends.co
Slack
Coolors.co
Trends.vc
Scale Nucleus
ML Image Classifier
Aquarium
Prodigy
mlblocks
PerceptiLabs
Machine Learning Playground
Roboflow Universe
Exploding Topics is recommended for marketers, entrepreneurs, product developers, and business strategists who are looking to gain a competitive edge by identifying and leveraging upcoming trends. It's also useful for investors seeking to understand potential growth areas in various markets.
Based on our record, Exploding Topics seems to be a lot more popular than Scale Nucleus. While we know about 30 links to Exploding Topics, we've tracked only 2 mentions of Scale Nucleus. 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.
Check out: https://explodingtopics.com/ (not related to them in any way). - Source: Hacker News / over 1 year ago
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: about 3 years ago
I also recommend subscribing to newsletters like new venture weekly (free) or Exploding Topics (freemium) for business ideas. Source: about 3 years 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: about 3 years 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: about 3 years ago
At Scale we built a tool for model debugging in computer vision called Nucleus (scale.com/nucleus) designed exactly for this, which is free try out if you're curious to see where your model predictions are most at odds with your ground truth. Source: almost 5 years ago
To address your point about gathering edge cases, which can also be defined as cases of low model fidelity for our use cases, there is active learning and tools such as Aquarium Learning and Scale Nucleus which make it easy to implement into workflows. Source: about 5 years ago
Glimpse - Discover trends before they're trending
ML Image Classifier - Quickly train custom machine learning models in your browser
Google Trends - Explore Google trending search topics with Google Trends.
Aquarium - Improve ML models by improving datasets they’re trained on
Treendly - Track global trends
Prodigy - Radically efficient machine teaching