Dividend Data vs Poach

Comprehensive Dividend Intelligence Engine

Go beyond basic yield. This feature delivers the deep, forward-looking data dividend investors crave. Access forward annual dividend amounts, yields, payout ratios, growth rates, and critical dates like ex-dividend and payment dates for any stock instantly. It's built specifically to analyze the sustainability and growth trajectory of income streams, putting professional-grade dividend analytics at your fingertips with a single formula.

Deep Historical Financials & Ratios

Conduct thorough fundamental analysis without leaving your spreadsheet. Pull in 30+ years of historical data from income statements, balance sheets, and cash flow statements. Instantly calculate and retrieve essential valuation and health metrics like P/E Ratio, Price-to-Book, Debt-to-Equity, and Return on Equity. This turns your sheet into a dynamic financial modeling platform, allowing for robust back-testing and trend analysis.

Live Price & Market Data Integration

Keep your portfolio tracking and valuation models perpetually up-to-date. With simple functions, pull real-time or delayed closing prices, market capitalization, and daily price history. This seamless integration ensures your net worth calculations, performance charts, and alert systems are always reflecting the live market, eliminating manual data entry errors and outdated information.

Universal Spreadsheet Compatibility

Why choose between ecosystems? Dividend Data delivers identical, powerful functionality in both Google Sheets and Microsoft Excel. Whether your team uses Google Workspace or your models are built in Excel, you get the same reliable formulas, data quality, and user experience. This flexibility ensures no investor is left behind and allows for seamless collaboration across different platforms.

VC Social Tracking Engine

Poach's core technology continuously monitors the Twitter follows of a curated list of elite venture capitalists. This real-time tracking captures the earliest digital footprints of interest, providing a direct line into what savvy investors are watching before the market catches on. It transforms casual social gestures into a structured, quantifiable signal for your sourcing strategy.

Proprietary Identity Resolution & Enrichment

We go beyond a Twitter handle. Our system matches Twitter profiles to corresponding LinkedIn accounts with high accuracy, then enriches each record with full work history, education, and career trajectory. This creates a comprehensive professional profile, giving you the context needed to evaluate a founder's background and potential at a glance.

AI-Powered Founder Labeling & Bio Generation

Our advanced AI doesn't just collect data; it interprets it. By analyzing Twitter bios, LinkedIn profiles, and activity patterns, the system automatically labels individuals (e.g., "founder," "engineering," "unfunded," "research") and generates a concise, insightful medium bio. This allows for precise, thesis-driven filtering beyond simple keywords.

Raw Data Delivery & Flexible Integration

Get your intelligence your way. Poach delivers enriched CSV exports directly to your inbox every morning with executive summaries. For power users, access the full firehose of data via our robust API. Filter, sort, and integrate this raw signal directly into your existing CRM or workflow systems for maximum efficiency.

Automated Dividend Portfolio Tracking

Manually updating a portfolio of income stocks is a tedious chore. Investors use Dividend Data to build a live dashboard that automatically tracks dividend payments, yields-on-cost, projected annual income, and ex-dividend calendars. This automates the entire monitoring process, providing a real-time view of portfolio income health and freeing up hours for analysis instead of data entry.

Screening and Building Watchlists

Quickly filter the universe of 80,000+ stocks based on precise, live criteria. Use the formulas to create dynamic screens for stocks meeting specific conditions, such as a P/E ratio under 20, a dividend yield above 3%, and a payout ratio below 60%. This allows investors to systematically identify new opportunities based on the latest data without relying on third-party screeners with limited metrics.

Streamlined Fundamental Research Reports

When analyzing a company for a potential investment, gathering data from multiple sources is inefficient. With Dividend Data, an investor can create a standardized research template in a spreadsheet. By simply entering a ticker symbol, the template auto-populates with decades of financials, key ratios, and dividend history, creating a comprehensive, consistent report in seconds.

Dynamic Financial Modeling & Projections

Build more accurate and responsive financial models. By linking valuation models directly to live data feeds for revenue, EPS, and growth rates, analysts can ensure their assumptions and projections are grounded in the latest reported figures. This creates living models that adjust as new quarterly data is released, providing a significant edge in investment thesis development.

Identifying Stealth-Mode Founders

The primary use case is finding founders operating in stealth, long before they list on AngelList or launch a public website. By filtering for the "founder" label and excluding the "funded" label, investors can build a proprietary list of nascent startups and initiate contact at the most opportune, formative moment.

Thesis-Driven Talent Sourcing

Beyond founders, firms can use Poach to identify exceptional technical, product, or research talent who may be considering a startup leap. For example, a VC focused on AI can filter for "research" labels from top institutions to find academics on the entrepreneurial cusp.

Competitive Dealflow Analysis

Track which investors are showing early interest in specific sectors or individual founders. This provides invaluable market intelligence on competitor focus areas and can signal emerging hot spaces before they become mainstream, allowing you to adjust your own thesis proactively.

Enhancing Outbound Sourcing Campaigns

Replace broad, low-conversion cold outreach with highly targeted, context-rich campaigns. Using Poach's enriched data, investors can craft personalized messages that reference a founder's specific background, recent career move, or the VC who followed them, dramatically increasing engagement rates.

Forget clunky APIs, expensive terminals, and the endless copy-paste grind. Dividend Data is the battle-tested spreadsheet weapon built for one purpose: to give self-directed investors institutional-grade market intelligence without the institutional complexity or price tag. This is not just another data feed; it's a complete operational system designed by a dividend investor for fundamental analysts who live in Google Sheets and Microsoft Excel. The core value proposition is ruthless efficiency: you get instant, live access to over 30 years of historical data for 80,000+ tickers directly in your cells through simple, plain-English formulas. No coding, no API keys, no manual updates. Just type a function like =DIVIDENDDATA_DIVIDENDS("MSFT") and watch the forward dividend, yield, ex-date, or payout ratio populate instantly. It brings together dividends, yields, full financial statements, key ratios, earnings, and price history—over 100 metrics—transforming your spreadsheet from a static record into a dynamic, real-time research and portfolio tracking powerhouse. With a permanently free tier offering 2,500 monthly credits and seamless integration across both major spreadsheet platforms, Dividend Data democratizes high-quality financial data, empowering investors to make faster, more informed decisions with confidence.

Poach is the premier intelligence platform for venture capitalists and early-stage investors who refuse to rely on luck or a crowded network for their next unicorn deal. In a world where the best founders are identified months before a formal raise, Poach provides the decisive first-mover advantage. The platform operates on a simple, battle-tested premise: track the social media activity of top-tier VCs. When a partner follows a promising individual on Twitter, it's a powerful, early signal of interest—often long before a deck is written. Poach captures this signal, enriches it with deep LinkedIn data and AI analysis, and delivers a curated, actionable stream of pre-vetted talent directly to your inbox or via API. This isn't just another database; it's a high-quality signal that sits strategically between a warm intro and cold inbound, systematically expanding your dealflow by identifying founders in their stealth phase. Loved by top firms, Poach turns passive observation into an active sourcing weapon.

Is there really a free plan, and what does it include?

Absolutely. The free tier is a permanent offering, not a limited trial. It provides 2,500 credits per month at no cost and with no credit card required. This is ample for most individual investors to track a portfolio, research several companies, and automate key data in their spreadsheets, making professional-grade analysis accessible to everyone.

How does Dividend Data compare to using free Yahoo Finance or Google Finance data?

While those sources are free, they are notoriously unreliable, inconsistent, and often lack the depth and history serious investors need. Dividend Data provides clean, standardized, and battle-tested data directly into your spreadsheet cells with 30+ years of history. You trade the fragility of web scraping and manual copying for robust, automated, and institutional-quality data feeds.

Do I need to know how to code or set up an API?

Not at all. Dividend Data requires zero coding knowledge. The entire system runs on simple, custom spreadsheet functions (like =DIVIDENDDATA_QUOTE("AAPL", "price")). If you know how to type a formula in Excel or Google Sheets, you can use all its features. There are no APIs to manage, authenticate, or troubleshoot.

Is my data secure and private?

Yes. Dividend Data operates with a strong commitment to privacy. Your spreadsheet data and portfolio holdings are not stored on their servers. The add-in fetches public market data based on the formulas you type. You maintain full control and ownership of your financial models and investment information at all times.

How accurate is Poach's data and labeling?

Our accuracy is battle-tested by top-tier firms. The identity resolution between Twitter and LinkedIn is highly reliable. Our AI labeling is continuously trained and refined on vast datasets, ensuring labels like "founder" or "funded" are applied with high precision. We focus on signal quality over sheer volume.

What is the typical "advantage" or lead time Poach provides?

The advantage is measured in months. As evidenced on our platform, we routinely identify founders 7-10 months before they publicly announce a fundraise. This gives our subscribers a substantial head start to build a relationship and evaluate the opportunity ahead of the frenzied formal round.

How does Poach compare to traditional founder databases?

Traditional databases list founders who are already actively raising—you're in a noisy, competitive pack. Poach detects founders before they enter those databases. We provide the signal before the noise, offering a qualitative edge that static lists cannot match. It's predictive intelligence versus reactive listing.

Can I filter and export data based on my specific criteria?

Absolutely. This is a core strength. Via the CSV export or API, you can filter on any combination of AI labels (e.g., "founder" + "engineering" + NOT "funded"), location, followed-by VC, and other enriched fields. You tailor the data stream to fit your firm's exact investment thesis and sourcing needs.

Dividend Data is a specialized spreadsheet add-on that delivers live, institutional-grade stock market data directly into Google Sheets and Excel. It belongs to the category of financial data tools built for self-directed, fundamental investors who prioritize dividends and long-term analysis. Users often explore alternatives due to budget constraints, the need for different data points, or compatibility issues with other platforms like portfolio trackers. When evaluating other tools, savvy investors should scrutinize the depth of historical data, the transparency of pricing beyond free trials, and the simplicity of the user experience. The core value lies in eliminating manual data entry; therefore, any true alternative must offer seamless, formula-driven access without requiring coding skills or constant maintenance. The right solution should feel like a natural extension of your analysis workflow, not a complicated piece of financial software. Focus on tools that understand the specific needs of dividend growth investing, providing not just raw numbers but the critical metrics—like payout ratios and dividend growth streaks—that inform sound investment decisions.

Poach is a business intelligence platform in the venture capital and startup ecosystem. It specializes in spotting founders before they formally begin fundraising by tracking VCs on social media. This generates a high-quality signal, positioning its intelligence as more valuable than cold inbound but more scalable than a warm introduction. Users often seek alternatives to Poach for various reasons. Some need a different pricing model or a more comprehensive suite of deal-sourcing tools. Others may require platforms with deeper CRM integrations, different data sources, or a focus on later-stage companies. The specific needs of an investor or firm dictate the search. When evaluating an alternative, focus on the core signal quality. The best tools provide proprietary, actionable intelligence, not just recycled data. Assess the platform's methodology, the timeliness of its alerts, and how well it integrates into your existing workflow to move from signal to deal with speed.