Top 10 AI Co-Pilots for VC Investors
DDVC #64: Where venture capital and data intersect. Every week.
👋 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
#3 “ConnectionExpert” - Network Search
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
Link: https://chat.openai.com/g/g-dHRKhMZIj-connectionexpert
#4 “Co-founder Fit” - Founder Assessment
Description: Uses a set of questions from Y Combinator for co-founders to assess compatibility before deciding to work together. Insights can also be included for startup evaluation by an investor.
Use cases: Ask founders to take the survey and provide their ID to test compatibility
Proprietary data: Yes, "Questions.pdf" (Y Combinator Survey)
Data sources: File upload
Assessment: 3/5, good prompts, proprietary data; yet a bit too complex for investors to ask founders for their input
Creator: Community Builder
#5 “VCGPT” - Startup Analysis
Description: An AI VC that evaluates startups providing decisive 'Yes' or 'No' feedback based on submitted pitch decks.
Use cases: Comprehensive startup evaluation
Proprietary data: Yes, "Mastering The VC Game.docx" (most likely this book)
Data sources: Web search, file upload
Assessment: 3/5, good custom prompts, proprietary (context) data
Creator: Benjamin Parr
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#6 “Personal Starwatcher” - Startup Analysis
Description: VC startup analyst for in-depth startup evaluations
Use cases: Comprehensive startup evaluation
Proprietary data: No
Data sources: Web search, file upload
Assessment: 2/5, good custom prompts, no proprietary data
Creator: Starwatcher.io
Link: https://chat.openai.com/g/g-6CDu3LvuO-personal-starwatcher
#7 “Data Analysis” - Generic Data Analysis
Description: Drop in any files and I can help analyze and visualize your data
Use cases: Pitch deck, financial model, competitive landscape
Proprietary data: No
Data sources: File upload
Assessment: 2/5, good custom prompts, no proprietary data
Creator: ChatGPT/OpenAI
#8 “Parsers VC” - Funding News
Description: Provides detailed reports on funding rounds within a specific area of interest over the past week, including information about startups and investors
Use cases: Tailored funding summary for areas of interest
Proprietary data: "SandF_12.txt" (content unclear)
Data sources: Web search, file upload
Assessment: 2/5, takes time to get what you want
Creator: Parsers.vc
Link: https://chat.openai.com/g/g-AR91KCRQ4-parsers-vc-weekly-venture-report
#9 “Startup Matchmaker” - Sourcing
Description: Tailored investor-startup matchmaking, focusing on detailed criteria.
Use cases: Discover and connect with promising startups
Proprietary data: No
Data sources: File upload
Assessment: 1/5, geo & industry focus great, yet stage focus off; still good to summarize most exciting opportunities within a sector
Creator: Cohres d.o.o.
Link: https://chat.openai.com/g/g-0CGloW4HX-startup-matchmaker
#10 Venture Capital Titan AI
Description: A market aggregator and financial analyst to find public market comparables.
Use cases: Market research, valuations, stock prices, comparables
Proprietary data: “CompaniesMarketCap.csv”
Data sources: Web search, file upload
Assessment: 1/5, mostly focused on public market data, yet useful for peer group benchmarking
Creator: Gerard King
Link: https://chat.openai.com/g/g-IwxP4TY04-venture-capital-titan-ai-gerard-king
Conclusion
The highlighted GPTs come with different strengths & weaknesses and the problem of using multiple in parallel requires context switching and thus leads to inefficiency. The more GPTs in regular use, the higher the inefficiency and the higher the uncertainty of which GPT might be the right one for a specific intent.
In one of my next posts, I’ll share how I built a unified GPT to rule them all (=serving all of the above use cases and more), convert it into an “Assistant” and connect it with tools and communication channels such as Slack. Said differently, a VC Co-Pilot that is deeply integrated into your workflows and can be controlled from a single interface.
Stay driven,
Andre
PS: We just launched the community survey for the “Data-driven VC Landscape 2024”. Benchmark yourself, learn how to become more data-driven & leverage AI in VC, and shape the narrative of the upcoming report.
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super helpful list, thank you!
This is me; “I love your work and follow every newsletter, but really don’t find the time to implement it myself”. Promised myself this has to change. So, lets go :-)