
"Context windows of AI models, which indicate the ability of a model to "remember" information, have increased over time. However, researchers have suggested new ways to increase long-term memory of AI models, as they often can't hold context over several sessions. 19-year-old founder Dhravya Shah is attempting to solve problems in this area by building a memory solution, called Supermemory, for AI apps."
"Originally from Mumbai in India, Shah started building consumer-facing bots and apps a few years ago. He even sold his bot that formatted tweets into good-looking screenshots to the social media tool Hypefury. The founder, who was preparing for an entrance exam to get into IIT(Indian Institute of Technology), earned good money from this sale and decided to move to the U.S to attend Arizona State University instead."
"After relocating, he challenged himself to build something new each week for 40 weeks. During one of those weeks, he built Supermemory (which was initially called Any Context) and put it on GitHub. At that time, the tool allowed you to chat with your Twitter bookmarks. The current version of the tool extracts "memories" or insights from unstructured data and helps the applications understand the context better."
Dhravya Shah, a 19-year-old founder from Mumbai, built Supermemory to address AI models' limited long-term context across sessions. Shah previously built consumer-facing bots and apps and sold a tweet-formatting bot to Hypefury, which funded his move to the U.S. to attend Arizona State University. At ASU, he committed to building a new project weekly and created Supermemory (initially Any Context), which began as a tool to chat with Twitter bookmarks. Supermemory now extracts 'memories' and insights from unstructured and multimodal data, constructs a knowledge graph, personalizes context for users, and enables querying across older entries for writing, journaling, email, and media-editing apps. Shah interned at Cloudflare and then focused full-time on productizing Supermemory.
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