Dividend Data vs Poach

Instant Spreadsheet Integration

Access over 100 critical metrics directly in your cells with 16 simple custom formulas. Whether you need the next ex-dividend date for Coca-Cola or the current P/E ratio for Microsoft, just type a function like =DIVIDENDDATA_QUOTE("MSFT", "price") and get live, updating data in under a second. It works seamlessly in both Google Sheets and Excel, turning your spreadsheet into a dynamic, connected research platform without any coding required.

Comprehensive Dividend & Fundamental Data

Go beyond simple quotes with 30+ years of deep historical data tailored for serious analysis. Get forward dividends, yields, payout ratios, and dividend growth rates. Dive into complete financial statements, earnings reports, and essential valuation and profitability ratios. This feature provides the complete picture for evaluating a company's financial health and income potential over the long term.

Generous Free Tier with Perpetual Access

Jumpstart your analysis immediately with no credit card required. The free plan offers 2,500 credits every month, and crucially, it never expires. This allows you to thoroughly test the platform, build complex models, and perform significant research without any time pressure or trial period limitations, making professional data truly accessible.

Multi-Platform Terminal & AI Tools

Beyond spreadsheets, access the flagship Dividend Data Terminal web-app. It features advanced data visualizations, automated portfolio tracking, and an AI-powered research assistant. This ecosystem approach means you can conduct deep, exploratory research in the Terminal and seamlessly implement the findings in your live spreadsheet models, all within one connected platform.

VC Social Tracking

Poach's core engine continuously monitors the Twitter follows of a curated list of top-tier venture capitalists and influential angels. These follows are not random; they are often the first subtle, public indicator of interest in a promising individual or startup. By automating this surveillance, Poach captures this early signal at scale, giving you a real-time view into where savvy investors are placing their attention long before any official announcement is made.

LinkedIn Enrichment & Identity Resolution

Raw Twitter handles are just the beginning. Poach employs proprietary identity resolution technology to accurately match Twitter accounts with their corresponding LinkedIn profiles. This process enriches each lead with critical professional context: full work history, educational background, past companies, and career trajectory. This transforms a simple username into a comprehensive professional profile, providing the depth needed to make informed sourcing decisions.

AI-Powered Categorization & Bio Generation

To make data instantly actionable, Poach's AI analyzes the combined Twitter and LinkedIn data to automatically label each person. It categorizes individuals into precise tags like "founder," "funded," "engineering," or "research." Furthermore, the AI synthesizes this information to write a concise, informative medium bio for each lead, saving you hours of manual research and summarization.

Flexible Data Delivery (CSV & API)

Poach delivers the enriched, labeled data in the formats that fit your workflow. Receive a curated executive summary and a full CSV export directly in your email every morning. For integrated operations, pull the raw data programmatically via Poach's API. This allows you to filter, sort, and segment leads based on any criteria—like finding all "founder" labels without the "funded" tag to pinpoint pre-raise opportunities.

Building a Dividend Growth Model

Easily screen and model dividend aristocrats and kings. Use functions to pull decades of dividend history and growth rates directly into your spreadsheet to calculate Chowder Numbers, analyze payout safety through ratios, and forecast future income. Automate your entire screening process to identify the most reliable long-term income stocks without manual data entry.

Creating a Live Portfolio Dashboard

Construct a master portfolio tracker that updates in real-time. Link cells to pull current prices, dividend yields, and annual income for each holding. Aggregate totals to see your portfolio's overall yield, projected income, and daily value change automatically, giving you a constantly up-to-date snapshot of your investments.

Conducting Comparative Company Analysis

Quickly pull key financial ratios and metrics for multiple companies side-by-side. Compare P/E ratios, debt-to-equity, profit margins, and revenue growth across an entire sector directly in a single sheet. This allows for fast, data-driven investment thesis development and peer group benchmarking.

Automating Financial Statement Analysis

Streamline deep dives into company fundamentals. Use formulas to import entire income statements, balance sheets, and cash flow statements over multiple years. Calculate custom ratios, track trends in revenue and EPS, and assess financial health automatically, saving hours of manual data collection and formatting.

Proactive Pre-Seed & Seed Sourcing

The primary use case is identifying founders who are actively building but have not yet begun a formal fundraise. By filtering for AI-labeled "founders" who are not tagged as "funded," investors can discover stealth-mode startups and initiate conversations 6-12 months earlier than the competition, building a relationship well before the term sheet phase.

Thesis-Driven Investor Scouting

Investors with a specific focus (e.g., AI for science, climate tech, ex-Googlers) can use Poach's labeled data to scout for talent that matches their exact thesis. The combination of LinkedIn-enriched work history and AI labels like "research" or "engineering" allows for highly targeted searches beyond just the founder title.

Competitive Intelligence & Market Mapping

Track which investors are showing early interest in specific sectors or individual founders. By seeing which VC follows a particular technical founder or researcher, you can gauge competitive interest and map emerging trends and talent networks within your focus areas before they become mainstream.

Enhancing Outbound Recruiting for Portfolio Companies

VC firms can leverage Poach to support their portfolio companies' talent acquisition. By sourcing profiles labeled as "engineering," "product," or "design" who are being followed by respected investors, they can identify high-potential candidates who are likely engaged in the startup ecosystem and may be open to new opportunities.

Dividend Data is the revolutionary toolkit that transforms your everyday spreadsheet into a professional-grade investment research terminal. Built by a dividend investor for dividend investors, it eliminates the tedious, error-prone process of manually copying and pasting stock data. With over 30 years of historical market data for more than 80,000 tickers, it brings institutional-quality financial intelligence directly into the tools you already use: Google Sheets and Microsoft Excel. The magic happens through simple, custom formulas. Just type =DIVIDENDDATA_DIVIDENDS("MSFT") and watch the forward annual dividend appear instantly. No API keys, no complex coding, and no more jumping between browser tabs. It’s designed for fundamental and dividend investors who demand deep data—dividends, yields, payout ratios, growth rates, full financial statements, key ratios, and price history—without the institutional price tag. Start with a powerful free tier offering 2,500 monthly credits that never expire, and experience the future of streamlined, data-driven investing today.

Poach is the intelligence platform that gives venture capitalists and early-stage investors a decisive, time-sensitive edge in deal sourcing. In the high-stakes race to find the next unicorn, traditional methods like warm intros and cold inbound are either slow or low-signal. Poach solves this by tracking the social media activity of top-tier VCs to detect promising founders before they officially begin their fundraising process. This generates a powerful, high-quality signal that sits perfectly between a warm introduction and a cold email. By monitoring who influential VCs follow on Twitter (often the earliest public signal of interest), enriching that data with LinkedIn profiles, and using AI to categorize individuals, Poach delivers a daily stream of vetted, actionable leads directly to your inbox. It's designed for investors who want to proactively expand and qualify their dealflow, identify stealth-mode talent, and get in front of founders months before a round is announced, turning reactive sourcing into a strategic advantage.

How does the free tier work?

The free tier provides 2,500 credits every month, which renew automatically. There is no expiration date or trial period; you can use the free plan indefinitely. Credits are used each time a spreadsheet function recalculates and fetches fresh data from our servers, allowing for substantial usage for personal analysis and modeling.

What data can I access with the spreadsheet functions?

You can access over 100 metrics spanning dividends, quotes, financial ratios, and fundamental data. This includes forward and historical dividends, yield, ex-dividend dates, current price, volume, P/E ratio, EPS, revenue, EBITDA, and much more. Full documentation lists all available functions and their parameters.

Do I need to install software?

For Google Sheets, you install an Add-on from the Google Workspace Marketplace. For Microsoft Excel, you install an Add-in from Microsoft AppSource. Both processes are quick and guided. Once installed, the custom functions are available in your spreadsheet just like native formulas, with no separate software to run.

Is my data and portfolio information secure?

Yes. Dividend Data uses secure, encrypted connections for all data transmission. Your portfolio data and API usage are kept private. The company does not sell your personal data or investment information. You can review the full details in the Privacy Policy available on the website.

How does Poach's signal compare to a warm intro?

Poach's signal is uniquely positioned. A warm intro is high-trust but relies on your existing network. Cold inbound is broad but low-quality. Poach provides a high-quality, data-driven signal based on the observable interest of other trusted investors. It's not as warm as a direct introduction, but it's significantly warmer and more targeted than a pure cold outreach, giving you a credible reason to start a conversation.

What data is included in the daily CSV export?

The daily CSV export is comprehensive and ready for analysis. It includes the person's Twitter handle, full name, LinkedIn profile URL, the VC who followed them, AI-generated labels (like founder, engineering), and a synthesized medium bio. This provides all the key information needed to quickly evaluate and prioritize leads for outreach.

Can I filter for very specific types of founders?

Absolutely. The power of Poach lies in the actionable, labeled data. You can filter the CSV or API data using the AI-generated labels and enriched fields. A common and powerful filter is to look for rows with the "founder" label but without the "funded" label, which specifically surfaces pre-raise, unfunded founders actively building their companies.

How early does Poach typically identify founders?

The platform is designed for extreme early detection. As evidenced by the "Proven Signal" section, Poach has identified founders who went on to raise significant rounds 7 to 10 months later. By tracking the earliest social signals from VCs, the platform gives you a multi-month head start, allowing you to be first in line when the founder is finally ready to engage with investors.

Dividend Data is an automatic stock data platform that brings institutional-grade financial data directly into your spreadsheets. It falls into the category of financial data tools designed for self-directed investors, specifically those focused on dividends and fundamental analysis. It turns Google Sheets and Excel into powerful, live research terminals with simple formulas. Users often explore alternatives for a few key reasons. They might need a different pricing model, require specific data points or integrations not offered, or need a solution that works on a different platform entirely. Some may seek more advanced analytical tools or a different user experience beyond the spreadsheet environment. When evaluating any tool in this space, focus on your core needs. Consider the depth and history of the data, the reliability and update frequency, the total cost, and how seamlessly it fits into your existing workflow. The best choice is the one that gives you accurate, actionable data with the least amount of friction, letting you focus on analysis instead of data collection.

Poach is a business intelligence platform that spots promising founders before they officially begin fundraising. It operates in the competitive startup and venture capital data space, providing a unique signal by tracking VC social activity to identify potential investment targets early. Users often explore alternatives for various reasons, such as budget constraints, a need for different feature sets like broader market analytics or deeper CRM integration, or simply a preference for a different platform interface or data sourcing methodology. It's a common step in finding the perfect tool for a firm's specific workflow. When evaluating other options, key considerations include the quality and timeliness of the signal, the depth of founder and company profiling, integration capabilities with your existing stack, and of course, the overall value relative to cost. The goal is to find a solution that delivers actionable intelligence aligned with your sourcing strategy.