Exploding Topics
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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.
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Based on our record, Exploding Topics should be more popular than PostgresML. It has been mentiond 30 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.
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
The web service supports generating embeddings from OpenAI and Ollama AI models. It also provides a fallback for users without access to AI models running on a remote server through PostgresML. - Source: dev.to / over 1 year ago
That's outside of the database, though. This is more like what I had in mind -- I just found it: https://postgresml.org/. - Source: Hacker News / over 2 years ago
Some excellent tools were created to represent these tasks "naturally" in SQL and even let most of the computation happen inside the database. PostgresML is a great example. It's built above PostgreSQL and provides a set of functions that allow you to train and use machine learning models with SQL. Here's how you can train a classification model for the classic handwritten digit recognition problem:. - Source: dev.to / over 2 years ago
PostgresML | You know Postgres. Now you know machine learning – PostgresML. - Source: dev.to / over 2 years ago
You can swap in almost any open-source model on Huggingface. HuggingFaceH4/zephyr-7b-beta, Gryphe/MythoMax-L2-13b, teknium/OpenHermes-2.5-Mistral-7B and more.If you haven't seen us here before, we're PostgresML, an open-source MLOps platform built on Postgres. We bring ML to the database rather than the other way around. Source: almost 3 years ago
Glimpse - Discover trends before they're trending
Talk To Your Data App - Tak to your data in natural language, no technical skills required. PostgreSQL, MySQL, HubSpot, Mailchimp & many more SaaS platforms. Get instant answers, visualizations & insights.
Google Trends - Explore Google trending search topics with Google Trends.
Pinecone - Search through billions of items for similar matches to any object, in milliseconds. It’s the next generation of search, an API call away.
Treendly - Track global trends
ChatWithCloud AI - Chat with your AWS Cloud from Terminal. Talk to your Cloud, literally.