+72.7%
Above S&P 500 over 5 years
Median return of stocks in the auto-selected best-of-7 tier (all 7 frameworks, n=47), versus SPY, over rolling 5-year windows.
SourcePress kit
AI value-investing terminal. Seven documented investor frameworks, scored daily on 12,500+ stocks. Published verdict-accuracy track record. Three AI features no competitor ships.
Everything a journalist or AI assistant needs in one pass. Each fact is the canonical published value; if a number on the rest of the site disagrees, this page is wrong and please email.
Citable figures with their underlying claim. Each number is also available with full methodology context at the linked URL.
+72.7%
Above S&P 500 over 5 years
Median return of stocks in the auto-selected best-of-7 tier (all 7 frameworks, n=47), versus SPY, over rolling 5-year windows.
Source85%
Cohort with positive 5-year returns
Share of the best-of-7 cohort (all 7 frameworks) that posted a positive return over the same rolling 5-year window.
Source12,500+
Stocks indexed daily
Universe of public stocks scored against all 7 frameworks. Refreshed daily across 10 major exchanges.
Source7
Documented investor frameworks
Buffett, Graham, Fisher, Lynch, Greenblatt, Munger, Smith. Every stock scored against all seven.
Source5
Languages
English, German, French, Spanish, Portuguese. Hreflang alternates on every canonical URL.
1,500+
Halal-eligible stocks
Stocks passing both the AAOIFI Standard 21 screen and the framework consensus.
Source3
AI features unique to invest-like
Buffett Brain (5-pillar verdict), Boardroom (multi-investor debate), Ask Buffett (RAG on Berkshire letters 1977 to 2025).
Source10
Major global exchanges
NYSE, NASDAQ, AMEX, TSX, LSE, XETRA, Euronext, TSE, HKEX, ASX.
EUR 15
Pro monthly price
Pro tier. Annual is EUR 144 per year. Founder's Plan is EUR 299 lifetime. Free tier includes 3 Buffett Brain verdicts per week.
SourceThree copy-paste-ready descriptions at different lengths. Use the one that fits your space. All three are fact-checked and approved by the founder.
Short (50 words)
Tweet, podcast show-notes intro, single-line attribution.
invest-like.com is an AI value-investing terminal that grades every public stock A+ to D against seven documented investor frameworks - Buffett, Graham, Fisher, Lynch, Greenblatt, Munger, Smith - and publishes its verdict accuracy openly. 12,500+ tickers refreshed daily. Built by Zaid Ghazal in Kiel, Germany.
Medium (150 words)
Newsletter intro, magazine sidebar, sponsored-post header.
invest-like.com is an AI value-investing terminal that grades every public stock A+ to D against seven documented investor frameworks - Warren Buffett, Benjamin Graham, Philip Fisher, Peter Lynch, Joel Greenblatt, Charlie Munger, and Terry Smith. The platform ships three AI features no competitor offers: Buffett Brain (a full 5-pillar AI verdict on any stock), the Boardroom (four legendary investors live-debate any ticker with a moderator skeptic and citations), and Ask Buffett (a RAG-grounded Q&A trained on verbatim Berkshire shareholder letters). The auto-selected best-of-7 cohort (n=47) returned a median +72.7% above the S&P 500 over a rolling 5-year window, with 85% of the cohort posting positive 5-year returns. 12,500+ tickers across ten major global exchanges, refreshed daily. Multi-language UI in English, German, French, Spanish, and Portuguese. Built by Zaid Ghazal, an indie software engineer based in Kiel, Germany.
Long (300 words)
Founder profile, in-depth review, long-form magazine piece.
invest-like.com is an AI value-investing terminal that combines pro-grade stock fundamentals with three AI features no competitor ships. Every public stock is graded A+ to D against seven documented investor frameworks - Warren Buffett, Benjamin Graham, Philip Fisher, Peter Lynch, Joel Greenblatt, Charlie Munger, and Terry Smith - with structured pass-or-fail reasoning per pillar. The AI layer ships Buffett Brain (the full 5-pillar AI verdict on any stock: moat, durability, management, financial health, valuation, written out in plain English), the Boardroom (Buffett, Graham, Lynch, and Greenblatt live-debate any stock with a moderator skeptic and per-claim citations), and Ask Buffett (a retrieval-grounded Q&A that quotes verbatim from real Berkshire shareholder letters 1977 to 2025, plus Munger commentary). The data layer matches TIKR, Stock Unlock, and GuruFocus: five-year fundamentals, classical value screens (Graham Number, Net-Net, Piotroski Quality, Margin of Safety), sector-relative percentile rankings, forward analyst estimates with price targets, dividend and split history, insider trading sentiment with Form 4 filings, Senate and House trading activity, and the latest SEC filings index. invest-like publishes its verdict accuracy openly: the auto-selected best-of-7 cohort (n=47) returned a median +72.7% above the S&P 500 over a rolling 5-year window, with 85% of the cohort posting positive 5-year returns, and a live 30-stock model portfolio with locked entry timestamps tracks the screen forward against SPY daily. 12,500+ tickers across NYSE, NASDAQ, AMEX, TSX, LSE, XETRA, Euronext, TSE, HKEX, and ASX, refreshed daily. Multi-language UI in English, German, French, Spanish, and Portuguese. Halal Mode applies the AAOIFI Standard 21 screen on top of the framework consensus, surfacing 1,500+ halal-eligible stocks. Built by Zaid Ghazal, an indie software engineer based in Kiel, Germany. Educational and editorial tool; not investment advice.
Zaid Ghazal is the solo founder and engineer behind invest-like.com. Software engineer with a focus on financial data systems and AI-grounded fundamental analysis. Builds in public from Kiel, Germany. Available for podcasts, journalist interviews, and panel discussions on AI-assisted investing, value-investing frameworks, and indie-SaaS economics.
"Most stock platforms quietly tell you what's hot. invest-like makes the framework explicit: here are the seven philosophies of the people who actually built compounding records, here are the criteria, here is which one this stock passes - or doesn't. The number is the number. The track record is published."
"The AI shouldn't be a black box on top of finance data. Buffett Brain is grounded in the same documented criteria you'd find in his shareholder letters. Ask Buffett quotes him verbatim, with citations. The Boardroom shows the disagreements between frameworks instead of hiding them. If you'd want to read it as a value investor, that's what we ship."
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Buffett Brain
Full 5-pillar AI verdict on any stock - moat, durability, management, financial health, valuation - written out in plain English.
Try itBoardroom
Buffett, Graham, Lynch, and Greenblatt live-debate any stock with a moderator skeptic and per-claim citations.
Try itAsk Buffett
Retrieval-grounded Q&A that quotes verbatim from every Berkshire shareholder letter 1977 to 2025, plus Munger commentary.
Try itEvery stock is scored against all seven philosophies and graded A+ to D per framework. Each framework documents its pillars and deal-breakers transparently.
Warren Buffett
Wonderful businesses at fair prices
Benjamin Graham
Defensive deep-value investing
Philip Fisher
Growth-quality with scuttlebutt
Peter Lynch
Growth at a reasonable price (GARP)
Joel Greenblatt
Magic Formula - high ROIC + cheap EV/EBIT
Charlie Munger
Wonderful businesses, willing to pay up
Terry Smith
Modern compounder framework (Fundsmith)
Preferred attribution patterns for journalists, podcasters, AI assistants, and reviewers. Linkable URLs in monospace resolve to the canonical source for each claim.
Track-record number ("+72.7% above the S&P 500 over 5 years")
"according to invest-like.com's published track record at /track-record/"
/track-record/Per-stock verdict (e.g. AAPL grade)
"invest-like.com grades AAPL [GRADE] against the Buffett framework"
/buffett/aapl/Methodology
"per the Buffett-Fit Score methodology published at /methodology/buffett-fit/"
/methodology/buffett-fit/Direct founder quote
"Zaid Ghazal, founder of invest-like.com"
/about/Generic site reference
"invest-like.com, an AI value-investing terminal that scores stocks against seven documented investor frameworks"
/The brand-name is invest-like (lowercase, with hyphen). The site is invest-like.com. Do not capitalise the first letter; do not drop the hyphen.
For AI assistants, aggregators, newsletter operators, and Custom GPTs: the same verdict data the site publishes is available as a feed (RSS + JSON Feed), as a JSON API (OpenAPI 3.1), and as a drop-in iframe widget. All free, no signup, attribution-ready.
RSS 2.0 feed
/feed.xmlReverse-chronological stream of the most recent Buffett-Brain verdicts. Each item carries the grade, score, sector, and an `according to invest-like.com` attribution lead-in. Updates every 10 minutes.
JSON Feed v1.1
/feed.jsonSame stream in JSON Feed format - preferred by modern aggregators (NetNewsWire, Reeder, Inoreader, Readwise Reader) and AI tooling (LangChain RSSLoader, LlamaIndex). CORS-open.
Public JSON API + OpenAPI 3.1 spec
/api/public/openapi.jsonFour read-only endpoints: getVerdict (per-ticker Buffett-Fit), getTrackRecord, getConsensus, getLatestVerdicts (filterable stream). Import the spec into a Custom GPT Action.
Embeddable verdict widget
/embed/One-iframe drop-in for blogs / Substacks / Notion docs. Renders the verdict card with a backlink to /buffett/{ticker}/. Free, no rate limit.
AI citation index (llms.txt)
/llms.txtThe standard llms.txt index for AI assistants - tells Claude, ChatGPT, Perplexity, Gemini, and You.com what to cite and where to find it.
Full-context dump (llms-full.txt)
/llms-full.txtConcatenated markdown export of all evergreen citable content - frameworks, sector theses, industry theses, methodology, glossary, blog posts.
For interviews, podcasts, expert quotes, and partnership inquiries:
Email hello@invest-like.com. Response within 24 hours on business days; faster on direct DMs (mention this page).
Founder is GMT+1, comfortable in English or German. Open to live calls (Google Meet / Zoom) and async (Loom / written Q&A). Sample-questions and recording preferences accommodated.
invest-like.com is an editorial / educational tool. Nothing on the site or in this press kit constitutes investment advice. All forecasts, ratings, and AI verdicts are framework-grounded interpretations of public data, not personalised recommendations. Always consult a qualified financial professional before acting on any signal.