👋 Hi, I’m Andre and welcome to my weekly newsletter, Data-driven VC. Every Thursday I cover hands-on insights into data-driven innovation in venture capital and connect the dots between the latest research, reviews of novel tools and datasets, deep dives into various VC tech stacks, interviews with experts, and the implications for all stakeholders. Follow along to understand how data-driven approaches change the game, why it matters, and what it means for you.

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Our community just crossed 16k subscribers and 1M total views. I’m incredibly thankful for your continued support and perceive this as a testament to the importance of data-driven approaches and AI in VC. In light of a 4.94/5 ranking of this newsletter (sample = 205 votes 🙏🏻 survey see bottom of every episode), I’m still surprised that one of the most frequent feedbacks is: “I love your work and follow every newsletter, but really don’t find the time to implement it myself”.

Yes, we’re all incredibly busy, but shouldn’t we regularly take a step back and sharpen the axe? The Xmas break ahead might be a good time to zoom out and revisit the way how we work because if you haven’t changed your processes and tools in the past year, I guarantee you waste your time and leave opportunity on the table. Bookmark this post and share it with others who might benefit from a workflow revision.

While there are many quick wins like browser plugins for sourcing, data extraction, CRM workflows, content creation, and more, recent developments in AI allow us to go deeper than ever before. With literally zero effort. The problem is just that most people don’t know what’s already out there.

In the absence of a GPT Store, I created BrowseGPTs to search for specific GPTs and regularly checked the top-ranking 1k+ GPTs here. Moreover, I asked you all for input to assemble the most comprehensive library of AI agents and Customized GPTs for VC investors and founders.

The resulting list comprises 100+ GPTs and after spending nights & weekends testing them, I found that only a few provide actual value. The majority is still useless and no more than an experiment. Today, I share my selection of the Top 10 Most Useful Customized GPTs for VC investors.

Top 10 Customized GPTs for VC Investors

If you’d like to learn more about Customized GPTs and even build your own within minutes, you can find a simple summary and step-by-step guide here. Please note that Customized GPTs require a ChatGPT Plus subscription. From the 100+ list, I looked at each GPT’s initial prompt and whether it was provided proprietary “training data”, checked whether you can upload and rely on additional files and/or 3rd party APIs and/or web search for processing your prompts, and tested a range of VC-specific use cases. The following ten turned out to be the most useful ones in order.

#1 “VentureGPT” - Startup Analysis

  • Description: AI copilot for VC funds and angel investors

  • Use cases: Comprehensive startup research & evaluation

  • Proprietary data: Yes, "Joint VC list (1).json."

  • Data sources: api.wale.ai, web search, file upload

  • Assessment: 5/5, great custom prompts, proprietary (startup) data

  • Creator: Wale.ai

#2 “ResearchGPT” - Market & Trend Research

  • Description: AI Research Assistant searching 200M academic papers to get science-based answers, and draft content with accurate citations.

  • Use cases: Research trends, technologies, etc.

  • Proprietary data: chat.consensus.app (database of scientific research papers)

  • Data sources: chat.consensus.app, web search, file upload

  • Assessment: 5/5, great prompts, proprietary (research) data

  • Creator: Consensus

  • Description: Leveraging LinkedIn connections to find useful people in your network and generate business insights

  • Use cases: Find contacts for intros, market research, etc.

  • Proprietary data: No

  • Data sources: File upload for anonymized LinkedIn connections, web search

  • Assessment: 5/5, simple but powerful

  • Creator: Dries Faems

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