About

Hey there! I'm an ex-McKinsey & Kearney consultant who spent 8 years developing financial models, strategy decks, and business plans for Fortune 500s. After years in consulting, I noticed most of the work follows repeatable patterns. So I built CoreSight: a multi-agent AI platform that gives you McKinsey-grade analysis, without the €500K price tag. Already validated with 1,000+ users (consultants, analysts, founders) and enterprise pilots worth $100K ARR. Whether you're: - a founder looking to raise funds and needs a solid business plan, - a solo operator trying to improve your strategic chops, or - someone who wants to get ahead without spending €50k on a consulting firm ...this is for you.

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Maker History

  • CoreSightMcKinsey-grade analysis, without McKinsey's price tag
    Jul 2025
  • 🎉
    Joined Product HuntJune 24th, 2025

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Clay is now Mesh

Today, Clay is becoming Mesh.

It's more than a name change. It's a commitment to a much broader vision.

As the world shifts, relationships have become both harder to maintain and more precious than ever. For the first time, we can actually map, understand, and activate networks at scale  dynamically, intelligently, and in real time.

In a mesh, nothing is truly isolated and nothing valuable is ever lost. That idea sits at the center of everything we're building. Because the future of relationships isn't about managing contacts. It's about understanding the shape of your entire network  and knowing how to move through it, grow it, and shape it.

You'll start to see Mesh roll out across our product, brand, and experiences starting today and over the coming weeks.

Here's every step our AI agents run when analyzing a stock, and why each one matters.

Most AI tools give you an output and ask you to trust it. We'd rather show you the work. When you type a ticker into CoreSight, here's exactly what happens in the background:

  1. Resolving SEC CIK: Every public company has a unique identifier in the SEC database. The agent finds it first, so everything that follows pulls from the right source.

  2. Fetching SEC filings: 10-K, 10-Q. The raw financial truth, straight from the source, not a third-party summary.

  3. Getting market price: Live data. The analysis reflects what the stock actually costs right now, not yesterday's close.

  4. Extracting financial statements: Income statement, balance sheet, cash flow. Structured and ready for analysis.

  5. Computing metrics: P/E, P/S, P/FCF, margins, debt ratios. The numbers that actually tell you if a stock is priced fairly.

  6. Searching web for context: numbers don't exist in a vacuum. The agent searches for recent news, product launches, and market developments that could affect the analysis.

  7. Generating AI analysis: Everything gets synthesized into a valuation verdict with a bull case, bear case, and clear reasoning.

  8. Populating spreadsheet: The output lands in a structured spreadsheet you can explore, edit, and build on.

Andrei Tudor

20h ago

Here's every step our AI agents run when analyzing a stock, and why each one matters.

Most AI tools give you an output and ask you to trust it. We'd rather show you the work. When you type a ticker into CoreSight, here's exactly what happens in the background:

  1. Resolving SEC CIK: Every public company has a unique identifier in the SEC database. The agent finds it first, so everything that follows pulls from the right source.

  2. Fetching SEC filings: 10-K, 10-Q. The raw financial truth, straight from the source, not a third-party summary.

  3. Getting market price: Live data. The analysis reflects what the stock actually costs right now, not yesterday's close.

  4. Extracting financial statements: Income statement, balance sheet, cash flow. Structured and ready for analysis.

  5. Computing metrics: P/E, P/S, P/FCF, margins, debt ratios. The numbers that actually tell you if a stock is priced fairly.

  6. Searching web for context: numbers don't exist in a vacuum. The agent searches for recent news, product launches, and market developments that could affect the analysis.

  7. Generating AI analysis: Everything gets synthesized into a valuation verdict with a bull case, bear case, and clear reasoning.

  8. Populating spreadsheet: The output lands in a structured spreadsheet you can explore, edit, and build on.

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