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Data-Driven VC
Data-Driven VC
Revolutionize Your Research With This Free Perplexity Alternative
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Revolutionize Your Research With This Free Perplexity Alternative

New Agentic Research Tool "STORM" by Stanford University

Andre Retterath's avatar
Andre Retterath
Jan 02, 2025
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Data-Driven VC
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Revolutionize Your Research With This Free Perplexity Alternative
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šŸ‘‹Ā Hi, I’m Andre and welcome to my newsletter Data-Driven VC which is all about becoming a better investor with Data & AI. Join 30,765 thought leaders from VCs like a16z, Accel, Index, Sequoia, and more to understand how startup investing becomes more data-driven, why it matters, and what it means for you.


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Happy New Year to you all 🄳

With recharged batteries and fresh minds, I’m excited to share my top holiday find with you! I’ve used it for hours and I’m convinced it will change a big chunk of my workflows in 2025 and beyond.

A researcher at heart, I’ve tested most AI-powered research and knowledge curation tools such as Perplexity, Consensus, ChatGPT, Claude, and many more. They’re good, but not great. Lack of traceability. Hallucination. Bad writing style. Expensive. No fine-tuning. The list goes on.

In today’s episode, I’ll share a snapshot of ā€œSTORMā€ with you, a research project and free alternative tool developed by Stanford University. I’ll share an example of how I use it and how it compares to my own manual research. Spoiler: STORM is next level!

What is STORM?

STORM is a research project by Stanford University and means ā€œSynthesis of Topic Outlines through Retrieval and Multi-perspective Question Askingā€. It’s a LLM system that researches and writes Wikipedia-like articles from scratch based on Internet search.

STORM models the pre-writing stage by (1) discovering diverse perspectives in researching the given topic, (2) simulating conversations where writers carrying different perspectives pose questions to a topic expert grounded on trusted Internet sources, (3) curating the collected information to create an outline.


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