Loaded GPT with 50k VC websites and Linkedin profiles. Categorised the investment focus. 🔎 Created embeddings for search based on relatedness of text strings.
Sharing now an AI-Powered VC Sheet 👇 with all founders and VCs
because fundraising is an uphill battle, research is the needle in a haystack, and 'spray and pray' is evil. 😈
Get access to the free version here (up to 50 results).
If you like the idea, you can support this project by purchasing access to the full database with all future updates (see our roadmap)
50% discount during the month July for early supporters!
1M+ impressions and 4k people commenting across all the posts and reposts 😎
Just enter your industry - instantly get a list of investors semantically related to your input based on what they say on Linkedin and their website!
✅ Merged circulating investor lists
✅ Scraped each fund's web and Linkedin profile information.
✅ GPT Summarized what they say they invest in
✅ Deployed embeddings in a vector DB
✅ Connected with Google Sheets via our API
✅ 🚀 launched on Product Hunt 😻
❌ Monthly sync with latest data from LinkedIn and web
❌ Scrape investor's website regularly for new investments
❌ AI analysis of portfolio companies to identify investor preferences
❌ Real-time investment team updates (who left, joined, got promoted)
❌ Search also within descriptions of (portfolio) startups
❌ Contacts on relevant founders (backed by your target investor)
❌ Outreach capabilities (pathway to your investor via relevant founders)
Get your access today and be among the first users to test and provide feedback. Plus, enjoy a 50% discount for the first year of use as our way of saying thanks for being an early adopter.
GET FULL ACCESS NOWWith the raise of AI we realized that by leveraging text embeddings and our 7 years of expertise in ML, lead generation and crawling, we can provide the most accurate lists in seconds. Better. Always up-to-date.
Up-to-date information (regular LinkedIn & Web Sync)
Search instantly also startups (portfolio founders)
Outreach capabilities
We have been there, raised and invested, and we are deeply annoyed by how difficult and pricey it is to find investment related information for startups and VCs.
Is sucks. There is no quality data nor an easy way
to search for the right match investors.
It is overpriced. It is unfair and annoying that the monopolistic database players are charging from $300 to a couple of thousands of dollars to use a retro tool.
No one cares about the founders and by using outdated tech existing solutions are not providing enough precise, up-to-date and comprehensive information.
It's exciting to have been included in the Data-driven VC Landscape 2023 as one of the Top 20 Thought Leaders 🚀. The data-driven revolution has just begun, and machine-learning models have been proven to outperform humans in many aspects.
Venture Capital is no exception.