Dividend Data vs Poach
Side-by-side comparison to help you choose the right product.
Dividend Data
Access 30+ years of dividend data and stock information instantly in Google Sheets and Excel, empowering your investment decisions.
Last updated: March 11, 2026
Poach
Poach helps VCs discover unfunded founders by tracking competitor dealflow signals.
Last updated: February 28, 2026
Visual Comparison
Dividend Data

Poach

Feature Comparison
Dividend Data
Instant Formula-Based Data Retrieval
With Dividend Data, you can access real-time stock information by simply typing formulas into your spreadsheet. This unique feature eliminates the need for manual data entry, allowing you to focus on analysis rather than data collection.
Comprehensive Historical Data
Dividend Data provides over 30 years of historical stock data, enabling investors to analyze trends and make informed decisions based on robust historical performance. This extensive database covers a myriad of financial metrics, enhancing your investment research capabilities.
Cross-Platform Compatibility
Dividend Data is designed to work seamlessly in both Google Sheets and Microsoft Excel, ensuring that you can access critical data no matter which platform you prefer. This compatibility allows you to integrate stock data into your preferred workflow without any hassle.
Custom Functions for Dividend Investors
The tool features 16 custom functions specifically designed for dividend and fundamental investors. These functions cover everything from dividends and yields to detailed financial ratios, making it easy to pull the exact information you need for your investment analysis.
Poach
VC Social Tracking Engine
Poach's core technology automates the monitoring of who leading venture capitalists follow on Twitter. This is a critical, non-public signal, as VCs often follow founders they are courting or are impressed by long before any official investment is announced. The platform systematically tracks these follows, providing you with a real-time feed of the individuals capturing the attention of the investment elite, turning social activity into a quantifiable sourcing channel.
Proprietary LinkedIn Enrichment
Raw Twitter data lacks context. Poach solves this with its proprietary identity resolution engine, which accurately matches Twitter accounts to their corresponding LinkedIn profiles. This process enriches each record with verified professional details including current role, company, work history, and education, transforming a social handle into a comprehensive professional profile essential for informed outreach and evaluation.
AI-Powered Categorization & Bios
Beyond simple data matching, Poach employs sophisticated AI to analyze the combined Twitter and LinkedIn data. It automatically applies precise labels such as "founder," "funded," "engineering," or "research" to each individual. Furthermore, the AI synthesizes this information to generate a concise, informative medium bio for each person, saving you hours of manual research and enabling rapid, at-a-glance assessment of potential fit.
Raw, Filterable Data Delivery
Poach believes in giving investors full control and flexibility over their data. You receive daily executive summaries via email and, most importantly, full CSV exports or API access containing all enriched data. This allows you to filter leads using any criteria—such as "founder" AND NOT "funded"—to build perfectly tailored lists that match your specific investment thesis and focus areas.
Use Cases
Dividend Data
Streamlined Investment Research
Dividend Data is perfect for investors conducting in-depth research on potential stock purchases. By leveraging its extensive data and custom formulas, users can quickly gather and analyze the information they need to make informed decisions.
Portfolio Management
Investors can use Dividend Data to track their portfolios effortlessly. By linking their investment accounts, they can access aggregate statistics and automatically monitor dividend income, enhancing their portfolio management strategies.
Educational Tool for New Investors
For novice investors, Dividend Data serves as an excellent educational resource. The intuitive formula-based interface provides a hands-on learning experience, allowing users to explore financial metrics and understand market dynamics in real time.
Automated Financial Reporting
Financial professionals can utilize Dividend Data to automate their reporting processes. By integrating dynamic stock data into their spreadsheets, they can generate accurate reports without the tedious task of manual data entry, saving time and reducing errors.
Poach
Proactive Founder Sourcing for Seed-Stage VCs
Early-stage funds can use Poach to systematically identify stealth-mode and pre-seed founders before they hit the mainstream radar. By filtering for individuals labeled as "founder" but not yet "funded," investors can initiate genuine, value-add conversations months in advance of a competitive formal round, building relationships that lead to proprietary dealflow and favorable terms.
Thesis-Driven Scouting for Specialist Funds
Funds with a specific focus—be it AI, climate tech, or web3—can leverage Poach's AI labeling and filtering capabilities to cut through the noise. By tracking VCs known for expertise in their sector and filtering for relevant keywords or labels (e.g., "research" in AI), they can efficiently surface technical founders and researchers on the cusp of commercialization, aligning dealflow perfectly with their mandate.
Competitive Intelligence and Market Mapping
Investors can use Poach not just for sourcing, but for strategic intelligence. By observing which founders are being followed by competing funds, you can gauge market interest in specific spaces or individuals. This allows for better market mapping, understanding emerging trends, and anticipating which rounds may become highly competitive, informing both sourcing and investment strategy.
Enhancing Partner Sourcing Workflows
Partners and investment teams can integrate Poach's daily data drops directly into their existing workflows. The enriched CSV files can be uploaded into CRMs, shared with teams for review, or used to trigger personalized, informed outreach sequences. This systematizes top-of-funnel sourcing, ensuring the team spends less time searching and more time engaging with high-potential, vetted targets.
Overview
About Dividend Data
Dividend Data revolutionizes the way dividend and fundamental investors access stock market information. With over 30 years of comprehensive stock market data for more than 80,000 tickers, Dividend Data seamlessly integrates into both Google Sheets and Microsoft Excel. This innovative tool was designed specifically for investors seeking immediate access to vital metrics such as dividends, yields, payout ratios, growth rates, financial statements, earnings, ratios, and price history. The main value proposition lies in its simplicity: just type a formula, and the data appears live—no coding or API keys required. Whether you're a seasoned investor or just starting your investment journey, Dividend Data equips you with institutional-grade information without the hefty price tag. With a free tier offering 2,500 monthly credits and 16 custom functions tailored for dividend investors, it stands out as an essential tool for anyone serious about maximizing their investment strategies.
About Poach
Poach is the definitive dealflow intelligence platform engineered for venture capitalists and early-stage investors who operate in a world where speed and insight are the ultimate currencies. In the hyper-competitive venture landscape, identifying and engaging with exceptional founders first is often the difference between winning and losing a deal. Poach provides the predictive signal that bridges the gap between unreliable cold outreach and the limitations of warm introductions. The platform automates the sophisticated tracking of top-tier VCs on social media, specifically Twitter, to pinpoint the founders they are following—a powerful, early behavioral indicator of interest. It then transforms this raw signal into actionable intelligence by matching Twitter profiles to LinkedIn, applying advanced AI-powered labeling to categorize individuals (e.g., founder, engineer, funded), and delivering enriched, filterable data directly to your inbox daily. This end-to-end process empowers investors to discover and connect with high-potential talent often months before a formal fundraising round begins, fundamentally expanding, de-risking, and accelerating their entire dealflow sourcing strategy to build a formidable, data-driven advantage.
Frequently Asked Questions
Dividend Data FAQ
What platforms does Dividend Data support?
Dividend Data is compatible with both Google Sheets and Microsoft Excel, allowing users to access stock market data on their preferred spreadsheet platform.
Is there a free version of Dividend Data?
Yes, Dividend Data offers a free tier with 2,500 monthly credits, allowing users to explore the tool without any financial commitment or trial expiration.
How do I access the data?
Accessing data is as simple as typing a formula into your spreadsheet. The tool provides various custom functions tailored for dividend investors, making data retrieval quick and efficient.
Can I track multiple stocks at once?
Absolutely! Dividend Data allows you to pull data for multiple tickers simultaneously, making it easier to analyze and compare different stocks within your portfolio.
Poach FAQ
How accurate is Poach's data matching between Twitter and LinkedIn?
Poach utilizes a proprietary identity resolution engine that cross-references multiple data points—including names, bios, employment details, and social connections—to achieve high-accuracy matching. While no system is perfect, the platform is engineered for precision, and any potential mismatches are minimal compared to the volume of high-signal, correctly enriched leads delivered daily.
What if the VCs I want to track aren't on Twitter?
Twitter is currently the most transparent social platform for observing professional investor interest and networking activity, which is why Poach focuses on it. The platform tracks a wide and growing directory of top-tier VCs active on the platform. If your target investor is not active on Twitter, they would not be a source of signal within Poach's current methodology.
Can I filter for very specific founder profiles?
Absolutely. The power of Poach lies in the raw, filterable data export. Beyond the pre-applied AI labels (founder, funded, engineering, etc.), you can filter the CSV based on any column—including location, bio keywords, LinkedIn company history, or who followed them. This allows you to create hyper-specific lists, such as "unfunded founders in the Bay Area with a PhD working on AI agents."
How far in advance can Poach identify a potential deal?
The signal can be remarkably early. Since the platform tracks informal social follows—which often occur when a VC first learns of a promising founder—Poach can surface names months before any fundraising process begins. Case studies from the platform have shown founders being identified 7-10 months before their eventual seed or Series A rounds were publicly announced.
Alternatives
Dividend Data Alternatives
Dividend Data is an innovative tool designed for dividend and fundamental investors, providing seamless access to over 30 years of stock market data for more than 80,000 tickers directly in Google Sheets and Microsoft Excel. This platform eliminates the need for complex coding or API integrations, making it user-friendly for investors who want to focus on data analysis. Users often seek alternatives due to concerns about pricing, specific feature sets, or compatibility with their preferred platforms. When selecting an alternative, it's essential to consider factors such as data accuracy, ease of use, historical coverage, and the overall value proposition in relation to your investment strategies.
Poach Alternatives
Poach is a dealflow intelligence platform that helps venture capitalists and early-stage investors discover unfunded founders by tracking competitor signals. It operates in the competitive intelligence and investor sourcing category, automating the process of identifying high-potential talent long before a formal fundraising round begins. Users often explore alternatives to find a solution that better fits their specific operational scale, budget, or feature requirements. Some may seek different data sources beyond social tracking, require more integrated CRM workflows, or need a pricing model that aligns with a smaller fund's structure. When evaluating other platforms, consider the core intelligence signal's quality and freshness, the depth of data enrichment provided, and how seamlessly the tool integrates into your existing sourcing workflow. The goal is to find a system that not only delivers leads but does so with the context and automation necessary to act decisively and build a sustainable competitive edge.