A 19-Year-Old Nabs Backing From Google Execs For His AI Memory Startup, Supermemory
At just 19 years old, Dhravya Shah has achieved what many founders dream of — a 19-year-old nabs backing from Google execs for his AI memory startup, Supermemory, a breakthrough tool redefining how AI systems remember and process data.
Image Credits:Supermemory
How A Teen Founder Is Reimagining AI Memory
In recent years, AI models have expanded their “context windows” — their ability to retain information across conversations. Yet, despite progress, long-term AI memory remains a challenge. Shah’s startup, Supermemory, aims to fix this by building a universal memory solution for AI applications that helps them retain knowledge across sessions.
From Mumbai To Silicon Valley
Originally from Mumbai, India, Shah started creating consumer-facing bots and apps as a teenager. One of his early projects — a bot that turned tweets into stylish screenshots — was sold to the social media tool Hypefury, earning him early recognition and financial success.
That sale changed his path. Instead of pursuing admission to the Indian Institute of Technology (IIT), Shah moved to the U.S. to study at Arizona State University, where he began pushing his creativity further.
Building Something New Every Week
After relocating, Shah set himself an ambitious goal: build something new every week for 40 weeks. During one of those experiments, he created what would later become Supermemory — initially called Any Context — and released it on GitHub.
The tool first allowed users to chat with their Twitter bookmarks, but it quickly evolved. Today, Supermemory extracts meaningful “memories” or insights from unstructured data, helping AI applications understand and retain context far more effectively.
Supermemory: A Universal Memory API For AI
Supermemory’s technology builds a knowledge graph from all the data it processes, allowing AI systems to access long-term information in a personalized way. This means users can query month-old writing sessions, search past emails, or retrieve project data — all through a single API.
Its flexibility makes it powerful across industries: a writer can recall notes from months ago, a marketer can track campaign assets, and a video editor can instantly pull relevant clips from a library.
Because Supermemory supports multimodal inputs — from text to files to images — it can integrate seamlessly into diverse workflows.
The Tech Behind Supermemory
Supermemory can ingest nearly any kind of data, including documents, emails, chats, PDFs, app data streams, and files. Users can interact through a chatbot or notetaker, adding new “memories” as text, uploading links or files, or connecting with platforms like Google Drive, OneDrive, and Notion.
It even includes a Chrome extension that lets users capture and store notes directly from web pages — making Supermemory a practical tool for researchers, developers, and everyday users alike.
From Cloudflare To Startup Founder
Shah’s professional journey also shaped Supermemory’s development. During his internship at Cloudflare in 2024, he focused on AI and infrastructure, later becoming a developer relations lead at the company. Encouraged by mentors like Cloudflare CTO Dane Knecht, Shah decided to take Supermemory full-time in 2025.
Backed By Google Executives And Industry Leaders
Now, Supermemory has gained the attention and backing of top Google executives, a testament to its potential in advancing AI’s contextual understanding. This early endorsement positions the startup as a serious contender in the AI infrastructure space — especially as personalized AI memory becomes critical to next-generation applications.
Why Supermemory Matters
The race to enhance AI’s memory isn’t just about longer context windows — it’s about creating persistent intelligence. Supermemory bridges that gap, enabling AI to learn, recall, and adapt more naturally over time.
As AI becomes deeply integrated into work, creativity, and productivity tools, solutions like Supermemory could reshape how humans and machines collaborate — giving AI something it’s always lacked: real memory.
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