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AI value-investing terminal that grades stocks against seven documented investor frameworks.

Last updated September 28, 2026

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Overview

invest-like is an AI-powered stock analysis tool and value-investing terminal that applies the documented rules of seven well-known investors to listed equities. According to its official site, the platform checks more than 21,000 stocks across 68 countries every day against the frameworks of Warren Buffett, Benjamin Graham, Peter Lynch, Joel Greenblatt, Charlie Munger, Philip Fisher and Terry Smith. Each stock receives a Buffett-Fit score from 0 to 100, along with a breakdown across five areas: moat, management, financials, valuation and resilience. The service is aimed at individual investors who want a structured, rules-based second opinion on a stock rather than personalised advice. The core product is the "Buffett Brain," which produces a verdict on any stock across the five areas, each explained in plain language. Users can type a ticker and receive a verdict in about a minute, see where the seven investor frameworks agree or disagree, and add stocks to a watchlist that sends short email alerts when a verdict changes, a score moves, or earnings are approaching. The site advertises a track record of +73.8% versus the S&P 500 over five years, based on 47 stocks that passed all seven frameworks, with a median outperformance of +73.8 points. It also states that it is trusted by 510+ investors. Under the hood, invest-like draws company fundamentals from annual and quarterly filings with ten or more years of history, and refreshes prices daily (intraday prices are delayed). Each verdict follows a fixed rubric that mirrors how value investors work by hand, and every claim points to a number in the data or a passage from Berkshire's shareholder letters. Each answer is stored with the version of the rules that produced it. The site is built with Next.js and Supabase and runs on servers in the EU, with privacy-friendly defaults such as no third-party cookies, no fingerprinting, and masked form inputs in analytics. The company explicitly states what it is not: it is not personalised advice, not a brokerage, and not real-time. It does not place trades or hold money. Its answers compare a stock with published investing frameworks and are not buy or sell recommendations. The brand positions itself as a research and screening tool for value-oriented investors, combining AI with transparent, rules-based analysis. Ownership, founding date, and headquarters are not disclosed in the available evidence.

History

invest-like is an AI value-investing terminal that grades stocks against seven documented investor frameworks. The available evidence does not disclose a founding date, founder, headquarters, or ownership structure. The brand presents itself as a tool that applies the criteria value investors use — a wide economic moat, lasting demand, shareholder-friendly management, a solid balance sheet, return on invested capital, earnings yield and a margin of safety — to every listed stock. Each stock receives a Buffett score from 0 to 100, plus a breakdown showing which parts passed and which did not. The platform covers seven published value-investing philosophies: Warren Buffett, Benjamin Graham, Peter Lynch, Joel Greenblatt, Charlie Munger, Philip Fisher and Terry Smith. Users can pick the framework closest to how they think or compare all seven. The service checks more than 21,000 stocks across 68 countries every day. It advertises a track record of +73.8% versus the S&P 500 over five years, based on 47 stocks that passed all seven frameworks, with a median outperformance of +73.8 points, and states it is trusted by 510+ investors. Under the hood, company fundamentals come from annual and quarterly filings with ten or more years of history, and prices refresh every day (intraday prices are delayed). Each verdict follows a fixed rubric that mirrors how value investors work by hand: moat, lasting demand, management, financial health and price against intrinsic value. Every claim points to a number in the data or a passage from Berkshire's shareholder letters, and each answer is stored with the version of the rules that produced it. The site is built with Next.js and Supabase and runs on servers in the EU. Privacy-friendly defaults include no third-party cookies, no fingerprinting, and masked form inputs in analytics. The company explicitly states what it is not: not personalised advice, not a brokerage, and not real-time. It does not place trades or hold money. Its answers compare a stock with published investing frameworks and are not buy or sell recommendations. The brand positions itself as a research and screening tool for value-oriented investors, combining AI with transparent, rules-based analysis. No further historical milestones, leadership changes, funding events, or corporate developments are available in the supplied evidence.

Products and positioning

A rules-based, AI-powered value-investing research and screening tool for individual investors; not personalised advice, not a brokerage, not real-time.

  • Buffett Brain

    A verdict on any stock across five areas: moat, management, financials, valuation and resilience, each explained in plain language.

  • Seven investor frameworks

    Published value-investing philosophies from Buffett, Graham, Lynch, Greenblatt, Munger, Fisher and Smith applied to every stock.

  • Stock watchlist with email alerts

    Add stocks to a watchlist; receive short emails when a verdict changes, the score moves, or earnings are coming up.

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