Glimpse
Exploding Topics
Google Trends
Widgeridoo
Trends.co
Treendly
Trends.vc
Widget Web
Activeloop
Iterative.ai
Pachyderm
Scale
DoltHub
Snowflakepowe.red
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Activeloop provides an optimized format for unstructured data, so users can stream their machine learning datasets while training ML models in PyTorch and TensorFlow. Activeloop acts as a data lake for deep learning on unstructured data and offers in-browser dataset visualization, querying, and version control. On top of those features, Activeloop integrates with experimentation and labeling tools to allow rapid iteration on computer vision datasets.
Machine Learning teams can apply Activeloop's data infrastructure to ship their models fast in the following use cases:
Glimpse ActiveloopNo features have been listed yet.
Entrepreneurs, marketers, product developers, and business strategists who want to leverage data-driven insights to identify and capitalize on emerging trends and market opportunities.
Glimpse's answer
Glimpse leverages a proprietary algorithm that doesnโt have the lag that other search volume data providers have. Other providers have a number of issues, including lag time and bundling similar keywords together, which decrease the accuracy of their estimates. This is especially important for trends - for example, many of the other tools showed โchatgptโ having 0 or minimal search volume in mid-January 2023 when Glimpse showed it having 4M searches. Google Trends data doesn't suffer from these issues, and Glimpse's data is the only source that aligns with Google Trends.
Based on our record, Glimpse should be more popular than Activeloop. It has been mentiond 16 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.
If you want to build something instead, I suggest taking a look at indie hackers to see what other people are doing or using a tool like glimpse to find trends before they pop-off and build a solution to those things. Source: almost 3 years ago
The most valuable and impressive thing you can do is build a business. Hands down. Especially if it makes money. That will show you're not just a cog in the wheel but able to critically think and have valuable practical skillsets. I would experiment with something that has tailwinds. Like an AI business, or a VR business once the new apple VR app store comes out. you'd be shocked at how much you can make... Source: about 3 years ago
For example; trends.co is not very good because the people that write for them are journalists, not business owners so although the writing is good, the ideas are poorly researched. On the other hand, meetglimpse.com is pretty good, they have nuanced and unique business ideas that you can take advantage of but the market research behind it is a little lacking, their chrome extension tool is great tho. And then... Source: about 3 years ago
a lot of things. I've built 3 online businesses that were profitable with under $1000. it's really just a hustle once you get product market fit. Starting something online shouldn't take that much money if you know how to test it. Check out like trends.vc, explodingideas.co, meetglimpse.com etc. They may be able to spark your creativity for ideas that could be good opportunities for the price point. Source: about 3 years ago
Great idea. You should scrape ideas from meetglimpse.com, explodingideas.co, trends.co and the other sites that post ideas. Would be an easy way to bulk up the document. Source: about 3 years ago
This repository contains two Python scripts that demonstrate how to create a chatbot using Streamlit, OpenAI GPT-3.5-turbo, and Activeloop's Deep Lake. The chatbot searches a dataset stored in Deep Lake to find relevant information and generates responses based on the user's input. Source: about 3 years ago
u/Remote_Cancel_7977 we just launched 100+ computer vision datasets via Activeloop Hub yesterday on r/ML (#1 post for the day!). Note: we do not intend to compete with HuggingFace (we're building the database for AI). Accessing computer vision datasets via Hub is much faster than via HuggingFace though, according to some third-party benchmarks. :). Source: about 4 years ago
Hub, our open-source package, lets you stream datasets while training to PyTorch/TensorFlow. Check out how we achieved 95% GPU utilization while training on ImageNet at 50% less cost. We're building the Database for AI, with everything it should contain. If there's an adjacent feature that would make it more useful for your workflow, do let us know! Source: over 4 years ago
I'm Davit from Activeloop (activeloop.ai). Source: over 4 years ago
Exploding Topics - Get inspirations for blog posts, startup projects, cocktail conversations and beyond on Trennd, the one-stop aggregator for emerging search and social trends.
Iterative.ai - Iterative removes friction from managing datasets and ML models and introduces seamless data scientists collaboration.
Google Trends - Explore Google trending search topics with Google Trends.
Pachyderm - Pachyderm is an open source analytics engine that uses Docker containers for distributed computations.
Widgeridoo - Custom and pre-made widgets for iOS and macOS
Scale - Get human tasks done with just one line of code.
