Dividend Data vs Poach

Instant Data Access

With Dividend Data, users can access a vast array of financial information instantly. By simply typing a custom formula into their spreadsheet, they can retrieve real-time data on dividends, earnings, and prices, streamlining their investment research process and enhancing productivity.

Comprehensive Historical Data

Dividend Data provides more than 30 years of historical stock market data, allowing investors to analyze trends, evaluate performance over time, and make well-informed decisions based on extensive historical context. This depth of information is invaluable for strategic planning.

User-Friendly Custom Functions

Dividend Data boasts 16 custom functions specifically designed for dividend investors. These functions cover everything from dividend yields to payout ratios, enabling users to effortlessly extract the data they need without complex formulas or programming knowledge.

Cross-Platform Compatibility

Whether you're working in Google Sheets or Microsoft Excel, Dividend Data is fully compatible with both platforms. This flexibility ensures that investors can leverage its powerful capabilities regardless of their preferred spreadsheet tool, making it accessible for a wider audience.

VC Social Tracking & Signal Detection

Poach's core engine is built on a simple yet powerful premise: the early moves of seasoned investors are a leading indicator. The platform continuously monitors the Twitter follows of top-tier venture capitalists. When a prominent VC follows an individual, it's often a quiet nod of interest—a signal that someone is on their radar. Poach captures these digital breadcrumbs, turning casual social media interactions into a structured, searchable database of high-potential individuals, giving you a direct line to the industry's subconscious.

Proprietary Identity Resolution & LinkedIn Enrichment

A Twitter handle is just the beginning of the story. Poach employs advanced, proprietary technology to match these social profiles with their corresponding LinkedIn accounts. This critical step enriches each lead with a wealth of professional context: detailed work history, educational background, career trajectory, and current role. This fusion of social intent and professional pedigree creates a comprehensive profile, moving you from a username to a fully understood person with a history and a future you can evaluate.

AI-Powered Categorization & Bio Generation

Sifting through raw data is time-consuming. Poach's AI acts as your intelligent analyst, scrutinizing both Twitter bios and enriched LinkedIn data to automatically label each person. It categorizes individuals as founders, engineers, product managers, researchers, investors, and more. Furthermore, the AI synthesizes this information to generate a concise, insightful medium biography for each profile, summarizing who they are and what they're building, so you can quickly grasp their narrative.

Flexible Data Delivery & Advanced Filtering

Poach puts you in the driver's seat of your deal flow. You receive enriched data daily via executive summaries straight to your inbox, complete with attached CSV exports containing the full dataset. For power users, direct API access is available. Most importantly, you can filter this data with precision—searching for "founder" labels while excluding "funded" tags to pinpoint stealth-mode entrepreneurs, or combining any labels like "research" and "founder" to find academics transitioning to startup life, perfectly aligning with your specific investment thesis.

Portfolio Management

Investors can use Dividend Data to manage their portfolios effectively by tracking dividends and performance metrics in real-time. This allows for quick adjustments and strategic rebalancing based on the latest data insights, enhancing overall investment efficiency.

Financial Analysis

Dividend Data is an essential resource for conducting financial analysis. With instant access to a wide range of financial metrics, investors can evaluate the health of their investments and identify potential opportunities or risks before making important decisions.

Investment Research

Dividend Data facilitates thorough investment research by providing historical data and current metrics in an easily digestible format. Investors can compare different stocks, assess their financials, and make informed decisions based on comprehensive data analysis.

Educational Purposes

Educators and financial advisors can utilize Dividend Data to teach students and clients about investment strategies and market behaviors. By demonstrating real-time data analysis and financial evaluation, they can enhance learning and understanding of the stock market.

Identifying Stealth-Mode Founders Pre-Fundraise

The holy grail for early-stage VCs is finding a diamond-in-the-rough founder before any term sheets are signed. Poach enables this by filtering for individuals labeled as "founder" but not marked as "funded." This allows investors to discover entrepreneurs who are actively building, often in stealth, and make a connection months before a formal fundraising process begins, securing a position as the first and most trusted capital partner.

Building a Thematic Pipeline for a New Fund

When a VC firm launches a new fund focused on a specific thesis—like AI for science or climate tech—building a relevant pipeline from scratch is daunting. Poach allows investors to track VCs known for expertise in that niche and use AI labels (e.g., "research" + "founder") to automatically surface individuals whose backgrounds and projects align perfectly with the new fund's focus, accelerating targeted outreach.

Competitive Intelligence and Market Mapping

Understanding where other investors are placing their early attention is invaluable intelligence. By monitoring which VCs are following which types of profiles (e.g., a surge in follows of hardware engineers), a firm can infer emerging market trends and competitive interest areas. This allows for strategic adjustments in sourcing efforts and provides a narrative on the evolving landscape before it becomes mainstream news.

Sourcing Exceptional Talent for Portfolio Companies

Beyond deal flow, Poach serves as a powerful talent sourcing tool. A VC can use the platform to support their portfolio companies by finding highly specific profiles—such as a "product" manager with "web3" experience or a "design" lead from a top tech company. The enriched LinkedIn data provides a direct path to engage with passive candidates who are already garnering industry interest.

Dividend Data is a powerful tool designed to seamlessly integrate over 30 years of stock market data into your Google Sheets and Microsoft Excel spreadsheets. With coverage of more than 80,000 tickers, Dividend Data caters specifically to dividend and fundamental investors who seek quick and reliable access to crucial financial metrics. This innovative solution eliminates the need for API keys, coding, or manual data entry, allowing users to simply type a formula to receive live data. Investors can access vital information such as dividends, yields, payout ratios, growth rates, financial statements, earnings, ratios, and a plethora of other metrics. With a free tier offering 2,500 monthly credits and a suite of custom functions tailored to the needs of dividend investors, Dividend Data stands out as a resource built by investors, for investors. It empowers users to make informed decisions without the hefty costs typically associated with institutional-grade data.

In the high-stakes world of venture capital, the race isn't just to the swift—it's to the first. The most transformative deals are often whispered about long before they hit the market, hidden in the quiet signals of industry insiders. Poach is the compass that guides you to these opportunities. It’s an innovative platform built for venture capitalists and investors who are tired of the reactive scramble and are ready to write their own narrative. Poach transforms the art of deal sourcing from a game of chance into a disciplined science. By meticulously tracking the social media activities of top-tier VCs, particularly who they follow on platforms like Twitter, Poach uncovers the earliest whispers of promising talent. It’s the bridge between a cold inbound email and a coveted warm introduction, giving you a narrative advantage. The journey begins with a simple follow, which Poach enriches with LinkedIn data, analyzes with sophisticated AI, and delivers as actionable intelligence. This proactive approach ensures you're not just another name on a cap table; you're the first believer, connecting with founders while their vision is still being forged, long before their seed round is officially announced.

How does Dividend Data work?

Dividend Data operates by allowing users to input specific formulas into their spreadsheets, which then return live financial data for chosen tickers. This eliminates the need for manual data entry and ensures accuracy.

Is there a cost associated with using Dividend Data?

Dividend Data offers a free tier with 2,500 monthly credits, allowing users to access essential data without any financial commitment. There are also paid options for those who need more extensive data usage.

Can I use Dividend Data on both Google Sheets and Excel?

Yes, Dividend Data is fully compatible with both Google Sheets and Microsoft Excel, providing flexibility for users to work with their preferred spreadsheet tool without losing functionality.

What types of data can I access with Dividend Data?

Users can access a wide array of data, including dividends, stock prices, financial ratios, growth rates, and comprehensive historical data for over 80,000 tickers, making it an invaluable resource for investors.

How does Poach find these leads?

Poach operates by tracking the public Twitter follows of established, top-tier venture capitalists. The platform's foundational insight is that when a VC follows someone, it frequently signals early interest or awareness in that individual as a potential founder or high-value operator. We monitor these follows, then enrich and analyze the data to provide actionable insights.

What makes Poach different from a traditional lead list or database?

Traditional databases are static and often outdated, listing people who are already actively fundraising. Poach is dynamic and predictive. It focuses on pre-fundraise signals, identifying individuals based on the behavior of expert investors. It’s about discovering the narrative of a startup before the story is publicly written, giving you a timing advantage that lists cannot provide.

How accurate is the AI labeling and data enrichment?

Poach utilizes advanced AI models trained on vast datasets to perform identity resolution (matching Twitter to LinkedIn) and professional categorization. While highly accurate, no system is perfect. The platform is designed to provide strong, actionable signals that dramatically narrow the field, but we always recommend investors perform their own due diligence before making contact.

Can I filter for very specific types of founders?

Absolutely. This is one of Poach's core strengths. You can use the AI-generated labels (founder, funded, engineering, research, web3, etc.) in any combination using filters in the CSV or via the API. For example, you can search for "founder" + "research" - "funded" to find academically-minded, unfunded entrepreneurs, or "founder" + "web3" to see who's building in the blockchain space.

Dividend Data is a powerful tool designed for dividend and fundamental investors, offering over 30 years of stock market data for more than 80,000 tickers. By integrating seamlessly into Google Sheets and Microsoft Excel, it allows users to access a comprehensive suite of information, including dividends, yields, and growth rates, all through simple custom formulas. This innovative approach positions Dividend Data firmly within the Business and Finance category, catering to those who demand reliable financial insights. Many users find themselves searching for alternatives to Dividend Data due to various reasons such as pricing structures, specific features that may better suit their needs, or compatibility with other platforms they are using. When choosing an alternative, it's crucial to consider factors like data accuracy, the comprehensiveness of historical records, ease of use, and the availability of features tailored to specific investment strategies. These elements can significantly impact the effectiveness and enjoyment of your investment journey.

In the competitive world of venture capital, Poach is a specialized tool that helps investors discover promising founders early. It operates in the deal flow intelligence category, using social media signals and data enrichment to give VCs a proactive edge in identifying investment opportunities before formal fundraising begins. Investors often explore alternatives for various reasons. Some may seek different pricing models or a platform that integrates more deeply with their existing CRM. Others might prioritize a broader data set beyond social media or require features tailored to a specific investment thesis or firm size. When evaluating other tools, consider the core intelligence source. Does it provide genuine, actionable signals? Assess the depth of profile enrichment and how well it aligns with your vetting process. Finally, consider the workflow integration—the best tool seamlessly fits into your daily research and outreach rhythm, turning data into real connections.