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How AI Agents and Building in Public Are Changing Venture Capital | Yohei Nakajima | Glasp Talk #57
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How AI Agents and Building in Public Are Changing Venture Capital | Yohei Nakajima | Glasp Talk #57

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This is the fifty-seventh session of Glasp Talk.

Glasp Talk delves into intimate interviews with luminaries from various fields, unraveling their genuine emotions, experiences, and the stories behind them.

Today’s guest is

, General Partner at Untapped Capital and the visionary creator of BabyAGI. This autonomous agent framework sparked global attention in the AI community and was featured at TED AI.

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Transcripts of YouTube

Hi, everyone. Welcome back to another episode of Glasp Talk. Today, we are excited to have Yohei Nakajima with us. Yohei is an innovator, artist, and venture capitalist. He is a General Partner at Untapped Capital, an early-stage venture capital firm that focuses on uncovering hidden gems in the startup world. With 15 years of experience supporting early-stage startups, Yohei has collaborated with global giants like The Walt Disney Company and Nintendo during his tenure at…. Read More


Highlights

  • The Future of Startup Creation with AI Agents:
    Yohei Nakajima, General Partner at Untapped Capital and creator of BabyAGI, shares how autonomous AI agents are reshaping startup creation. He envisions a future where founders use agents to quickly prototype, test, and scale ideas alongside AI from the start. BabyAGI, a task-planning agent, rapidly went viral, leading to widespread use and a presentation at TED AI.

  • Redefining the Role of Founders:
    Yohei challenges the traditional image of the lone visionary founder. In the age of AI, he sees the founder's role shifting toward system design, curation, and orchestration. Rather than handling every task manually, founders will oversee workflows where agents manage research, development, and content creation. He highlights his use of tools like Replit, Airtable, and Zapier to automate and accelerate projects.

  • Building in Public, Rapidly and Transparently:
    Yohei embraces a “build in public” mindset, sharing projects openly as they evolve. Having run over 100 small experiments, he values learning by doing, speed over perfection, and early community feedback. AI agents simplify exploration and iteration, enabling rapid, low-overhead experimentation. Projects like mini Yohei and VCpedia showcase this approach in action.


Key questions & insights

Q: What inspired Yohei Nakajima to create BabyAGI?

While experimenting with tools like LangChain and Replit, Yohei became interested in how AI could chain tasks autonomously. He built BabyAGI, a lightweight open-source agent that plans, stores, and executes tasks while adding and prioritizing new ones. Its simplicity and power resonated with developers, going viral and earning GitHub stars, academic citations, and a TED AI appearance.

Q: How does Yohei see AI agents changing how startups are built?

He believes founders will rely on AI agents for early tasks like ideation, research, and prototyping. This shift enables faster, cheaper, and more iterative development. Instead of manual work, founders will focus on system design while agents handle execution. Yohei often uses Replit, Airtable, and Zapier to streamline his workflows.

Q: What does “build in public” mean to Yohei, and why does he do it?

To Yohei, building in public means sharing unfinished projects, experiments, and failures in real time. It invites feedback, speeds up learning, and increases visibility. Projects like BabyAGI, mini Yohei, and VCpedia have helped him connect with founders and boost his fund’s reach.

Q: How does Yohei use automation tools?

He uses tools like Replit, Airtable, Zapier, and ChatGPT to rapidly prototype and automate workflows. Each project is treated as a small experiment, allowing quick testing without large teams. He automates up to 20,000 Zap tasks per month and uses Airtable to analyze data like Crunchbase.

Q: What advice does Yohei have for aspiring builders and founders?

Start small, build publicly, and launch before it feels ready. Use AI as a collaborator, stay hands-on, and learn by doing. Most importantly, talk to customers. Real conversations lead to insights no tool can provide. The future belongs to those who experiment and stay curious.


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