Feed of insights extracted from your go-to sources using LLMs.
Company is active
Event Year: 2024
Company is active
Event Year: 2024
et al. offers a mobile application designed to consolidate newsletters, research papers, articles, and other content streams into a unified platform. Leveraging the power of Large Language Models (LLMs), et al. delivers concise insights tailored to your interests, functioning as an intelligent feed that proactively surfaces relevant information. Imagine, for instance, that you are developing an AI voice agent. et al. will automatically provide updates on the latest advancements in speech-to-text models, eliminating the need for manual searching, sifting through extensive research documents, or repeatedly prompting an LLM. The application extracts key learnings from lengthy content, enabling users to consume as much or as little of the original source material as they desire. With et al., users can effortlessly remain informed about breakthroughs in their respective fields, expand their knowledge base, and uncover new areas of interest.
et al. offers a mobile application designed to consolidate newsletters, research papers, articles, and other content streams into a unified platform. Leveraging the power of Large Language Models (LLMs), et al. delivers concise insights tailored to your interests, functioning as an intelligent feed that proactively surfaces relevant information. Imagine, for instance, that you are developing an AI voice agent. et al. will automatically provide updates on the latest advancements in speech-to-text models, eliminating the need for manual searching, sifting through extensive research documents, or repeatedly prompting an LLM. The application extracts key learnings from lengthy content, enabling users to consume as much or as little of the original source material as they desire. With et al., users can effortlessly remain informed about breakthroughs in their respective fields, expand their knowledge base, and uncover new areas of interest.
Total Raised: Unknown (Y Combinator backed)
Last Round: Summer 2024
Total Raised: Unknown (Y Combinator backed)
Last Round: Summer 2024
Consumer
Consumer
Consumer
Consumer
Team size: 2
Hiring: No
Team size: 2
Hiring: No