Joe Rogan Experience for AI

Episode: Supermemory Raises $3M to Redefine Knowledge Storage

Date: October 9, 2025
Host: Joe Rogan Experience for AI

Episode Overview

This episode spotlights the recent $3 million seed funding round secured by Super Memory, a startup aiming to transform how knowledge and context are stored and accessed across AI applications. The host unpacks Super Memory’s origin story, technological breakthroughs, and the broader implications for the AI and software ecosystem. The discussion covers the founder’s journey, the product’s unique features, investor perspectives, customer traction, and competitive landscape.

Key Discussion Points and Insights

The Problem: Context Fragmentation in AI Tools

• [01:43] Super Memory provides a universal memory layer across different AI models and apps—solving the problem of context being siloed within individual tools (e.g., ChatGPT, Claude, Gemini).
• Host: “Instead of just having all of your conversations siloed...integrating something like Super Memory would make it so if you’re on AI Box and you are talking to any of the models, it has memory from anything you’ve talked about. So it’s kind of amazing...” (02:58)

What Is Super Memory?

• [02:50] API-driven memory solution allowing apps to store and retrieve user context across platforms.
• Empowers AI apps to remember user preferences, previous conversations, and relevant data regardless of which model is used.
• Can be set up in five minutes and integrates seamlessly with multiple app types.

Disrupting the “Sticky Moat”

• ChatGPT introduced memory as a feature—building a “moat” to keep users locked in.
• Super Memory removes that stickiness, freeing user data and boosting cross-app portability.
• Host explains: “...as soon as you have a tool like Super Memory, all of a sudden there’s no reason to stick with ChatGPT, that moat goes away.” (03:38)

Founder Journey: Darva Shah

• [04:32] Darva Shah, 19, originally from Mumbai.
• After selling an earlier project (a Twitter screenshot bot acquired by Hypefury), Shah moved to the U.S., attended Arizona State University (ASU).
• Embarked on a “build one project a week for 40 weeks” challenge at ASU—Super Memory was born out of this experiment, initially as “Any Context.”
• Early version: Let users “chat” with their Twitter bookmarks for easy retrieval of saved content.
• Host: “He decided that he wanted to do a challenge… every week for 40 weeks he was going to build something new. And one of those weeks he built super memory.” (05:45)

Tech and Product Details

• [09:14] Performs as an API and knowledge graph, supporting:
  • Multimodal inputs, not just text (video, docs, emails, PDFs).
  • Integration with Google Drive, OneDrive, Notion, custom Chrome extension.
• Personalized, context-driven AI interaction:
  • “Our core strength is to extract insights of any kind of unstructured data and give the app more context about users as we work across multimodal data.” — Darva Shah (13:12)
• Potential use cases: email clients, video editors, journaling and writing apps, project management.

Funding and Investor Perspectives

• [13:26] Raised $2.6M led by Suse Ventures and Bouder Capital.

• High-profile angels: Cloudflare’s CTO (mentored Shah), Google AI chief Jeff Dean, DeepMind’s Logan Kilpatrick.

• Y Combinator reached out, but timing didn’t work as Super Memory was already funded.

• Investor’s view:

  • Joshua Browder (Bouder Capital, founder of DoNotPay):
    “What struck me was how quickly he moves and builds things. And that prompted me to invest in him... Number one thing that investors are looking for is how fast can you iterate on an idea beyond just having an idea, how fast can you actually get it into the hands of consumers?” (15:05)

Customers and Traction

• [16:05] Early adopters span different AI verticals:
  • Cluey (AI-powered assistant)
  • Mantra (AI video editor)
  • SIRA (AI search tool)
  • Rhetts (real estate platform)

Competitive Landscape & Differentiation

• [17:03] Other memory players: Letta, Memo, Memories AI.
• Memories AI focuses more on video, whereas Super Memory targets broad AI app support (chatbots, search, productivity).
• Differentiator: high performance and low latency.
• Shah: “More and more AI companies will need a memory layer. Super Memory solutions provide high performance while allowing you to surface relevant context quickly.” (18:32)

Notable Quotes & Memorable Moments

• “This is the golden Silicon Valley story of how a startup comes to be.” — Host (00:24)
• “What sets them apart is their low latency. There’s going to be other competitors. I mean, I think that makes a lot of sense.” — Host (18:50)
• [19:08] “I love that it’s not just focusing on video. He’s focusing on like the chatbots and chatbot related tools. Personally, something that I’m interested in with AI Box.”

Important Timestamps

| Timestamp | Segment | |-----------|----------------------------------------------------------------------------------------| | 01:43 | Introduction to Super Memory’s value proposition | | 04:32 | Founder Darva Shah’s backstory and journey to the U.S. | | 05:45 | Weekly project challenge and origins of Super Memory | | 09:14 | Deep dive into Super Memory’s API, features, and use cases | | 13:12 | Founder quote about extracting insights from unstructured multimodal data | | 13:26 | Funding round details and key investors | | 15:05 | Joshua Browder’s insights on investing in fast-moving founders | | 16:05 | Customer adoption across AI industries | | 17:03 | Competitive landscape and Super Memory’s differentiation | | 18:32 | Quote from Shah on the future of memory layers in AI | | 19:08 | Host’s perspective on product-market fit with AI Box |

Summary and Takeaway

Super Memory is making a bold move to become the “memory layer” for AI by building an API that can integrate and unify user context across apps, models, and data types. With a solo teenage founder, rapid iteration, and buy-in from top-tier investors, it’s well-positioned as a toolset for the next generation of AI-enabled products. The episode brings out the importance of agility in startup execution, the democratization of knowledge retrieval, and the pivotal role of memory in elevating AI’s utility beyond standalone chats or isolated platforms.

Super Memory’s journey exemplifies the rise of young technical founders disrupting massive industries with simple but broadly applicable APIs—moving far beyond single-model “memory” toward a future where context travels with the user throughout the expanding digital ecosystem.