🤯 What we are currently working on is insanely powerful...
🏗 We have been building, testing and fine tuning an AI agent on the first party public data of VC’s to understand their thesis. ⌗ A data-driven approach, based on a dynamic taxonomy, will instantly and accurately lift Founder <> Investor fit, scaling towards Investor <> Investor fit. With a middle layer of specific datasets from 1st party public data directing LLMs, founders can instantly qualify and connect with investors. Using VC public domain statements, we get nuanced insights into their strategies and behaviors and reduce the information asymmetry to level the playing field.
🥱 💻 A taxonomic approach
🥱 💻 We use a taxonomic approach for hierarchical categorization, interpolating possible interests from subcategories. Each node and its child nodes carry dynamic confidence weights adjusted through learnings and feedback. This setup captures the current landscape and absorbs innovation effectively.
✅ The great thing
✅ The great thing about the confidence level weightings is they are a direct function of public information and portfolio co. data. The less transparent, ambigus, fluffy the info is, the lower the confidence… transparency boosts confidence and attracts founder interest.
😀 Fun and insightful
😀 Some of the fun and insightful highlights to see are the gaps between what is said and how it reflects with actual actions. By comparing a thesis to global startup capital trends across geos and verticals, it’s easy to spot the trend followers, adventure capitalists, and the biases.
📈 Some analysis
📈 In an analysis on E-mobility after the spike on the West Coast, we saw startups globally funded by VCs with no previous exposure or interest. With near-zero interpolated interest from their thesis, these VCs jumped on the trend. How could a founder know to approach them?
⭐️ Gold
⭐️This insight is gold, when major trends occur we know who might be influenced.
🤯 Mindblowing
🤯 What is mindblowing is every newsletter, social media post, podcast, website/ blog update will be ingested, contextualised, analysed, scored, and applied, continually fine-tuning confidence levels through learning rom irrefutable first-party data.
✅ Data driven is the future
✅ Data driven will soon be the core of every introduction made IMO. Figuring out the 5 W’s and how just to get a meeting is hugely time consuming. Learning to rank models with LLMs allow us to 10x the qualification process and make relevant connections with VC’s who can directly do their Je ne sais quoi.
Sign up now and get the latest updates on investor preferences and access to our fundraise toolbox, full of helpful tips
We care about protecting your data. Here's our Privacy Policy
This website uses cookies to improve your experience. We'll assume you're ok with this, but you can opt-out if you wish. Cookie settingsACCEPT
Privacy & Cookies Policy
Privacy Overview
This website uses cookies to improve your experience while you navigate through the website. Out of these cookies, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may have an effect on your browsing experience.
Necessary cookies are absolutely essential for the website to function properly. This category only includes cookies that ensures basic functionalities and security features of the website. These cookies do not store any personal information.
Any cookies that may not be particularly necessary for the website to function and is used specifically to collect user personal data via analytics, ads, other embedded contents are termed as non-necessary cookies. It is mandatory to procure user consent prior to running these cookies on your website.