John Melas-Kyriazi
@jmelaskyriazi • 5,542 subscribers
member of the non-technical staff at Standard Metrics (@metrics_co) // ex-@sparkcapital // dad x3 and @christinaphili5's +1
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Exit waterfall analysis just got a lot easier with Standard Metrics’ AI Analyst. Work that used to take hours is now just a prompt away. 💧 We're now going deeper by adding more structured financing terms to our data model, including liquidation preferences with participation type and seniority. That means investors will be able to model increasingly sophisticated investments without heavy prompting. "What are our returns if the company sells for $500M?" should be a quick question, not a lengthy spreadsheet exercise. No complex models, digging through documents, or hopping between platforms to get the answer you’re looking for. See what else our AI Analyst at Standard Metrics can do for your firm →
John Melas-Kyriazi2,896,887 просмотров • 4 месяцев назад
New investor superpower just dropped! Using Powerpoint, Claude, and Standard Metrics MCP, our customers can now create bespoke portfolio analysis directly in slides using natural language. 🤗 Ask in plain English: “Create a slide with key details on all the investments I made last quarter.” Claude pulls the right data from Standard Metrics and generates a ready-to-use PowerPoint presentation (sans copy/paste, back-and-forth between tabs, and formatting rabbit holes). This is a game-changer for our VC/PE customers building portfolio reviews, LP updates, or other decks. Give it a shot and let me know what you think! Standard Metrics
John Melas-Kyriazi1,383,345 просмотров • 4 месяцев назад
Investors: imagine cutting board meeting prep from hours to minutes with one prompt. Leveraging our MCP server, you can now unify information across Standard Metrics (Standard Metrics), Notion, Google Calendar, and other tools with a simple prompt, reducing board meeting prep and other admin to minutes. Watch the demo below to see how Claude (Anthropic): 1) Knows to search Google Calendar based on the prompt, pulling a list of company names 2) Finds those companies in Standard Metrics, aggregating performance data 3) Writes a quick performance summary with that context, updating Notion when asked This simple workflow delivers board-ready insights into how each is portfolio company is doing, minus the grunt work. Check out the video below 👇
John Melas-Kyriazi837,133 просмотров • 10 месяцев назад
The private markets didn’t have a purpose-built AI agent for portfolio analysis, so we decided to build one. Today, I’m excited to announce the launch of Standard Metrics’ AI Analyst. When we first launched a portfolio-company-specific agent last year, it was an experiment: would investors trust AI to answer questions and provide reporting and analytics for an individual portfolio company? The answer turned out to be a resounding yes. The missing piece was portfolio-wide analysis to answer broader queries like “which of my companies have accelerating revenue growth?” or “create a report of our companies in Europe that are getting low on runway.” These types of analyses are now possible in seconds with our new AI Analyst, which allows for multi-company, portfolio-wide questions across quantitative and qualitative data on Standard Metrics. It’s been incredibly rewarding working with a small set of Beta customers to hone the analyst before today’s release. Many use cases have already emerged, including monitoring risks, creating materials for follow-on investment decisions, and summarizing portfolio performance for LPs. The AI Analyst was a labor of love across every department at Standard Metrics. We’re just getting started and continuing to invest aggressively in new capabilities. Check it out in action at the video below. More on the launch can be found at our blog in comments. 👇
John Melas-Kyriazi66,105 просмотров • 5 месяцев назад
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