Dividend Data vs Poach

Free Tier with Monthly Credits

Dividend Data offers a generous free tier that provides users with 2,500 monthly credits, allowing them to explore the platform without any trial expiration. This feature is perfect for both novice investors who are just beginning their journey and experienced investors who want to test out the tool without financial commitment.

Custom Functions for Dividend Investors

The platform includes 16 custom functions tailored to meet the specific needs of dividend investors. From calculating forward-looking dividend yields to accessing earnings per share, these functions simplify complex financial analyses, enabling users to make informed investment decisions quickly.

Extensive Historical Data

With over 30 years of historical stock data, Dividend Data equips users with the ability to conduct thorough analyses of market trends and stock performance. This extensive data range allows investors to identify patterns, assess long-term growth opportunities, and understand the historical context of their investments.

Seamless Integration with Popular Spreadsheet Tools

Dividend Data works effortlessly within both Google Sheets and Microsoft Excel, making it accessible to a broad audience. This integration allows users to automate their data retrieval process, eliminating the need for tedious copy-pasting and enabling them to focus on analysis and strategy.

Predictive VC Tracking

Poach's core engine monitors the Twitter follow activity of a curated list of top-tier venture capitalists. When a VC follows a new account, it is captured as a signal of potential interest. This data provides a critical, early-window into emerging talent and companies, often surfacing opportunities 7-10 months before a formal fundraise begins, giving subscribers a substantial head start in building relationships.

AI-Powered Identity Enrichment & Labeling

Raw Twitter data is transformed into actionable intelligence through a multi-step enrichment process. Poach uses proprietary identity resolution to match Twitter profiles to LinkedIn accounts, pulling in professional history and education. Its AI then analyzes both social bios and work history to automatically label each individual with tags like "founder," "funded," "engineering," or "research," enabling precise filtering and qualification.

Actionable Data Delivery

Poach delivers its intelligence directly to your workflow. Subscribers receive a daily email digest with executive summaries of new leads. Each digest includes an attached CSV file with the complete, enriched dataset—including Twitter handles, LinkedIn URLs, AI-generated labels, and bios—ready for immediate import into CRMs or further analysis. Data is also accessible via API for automated pipelines.

Advanced Filtering & Segmentation

With AI-generated labels attached to every profile, investors can instantly filter leads to match their specific investment thesis. You can easily segment lists to find only "unfunded founders," "researchers" in a specific field, or "engineers" from elite companies. This turns a broad signal into a targeted list of high-probability, relevant opportunities, saving countless hours of manual research.

Analyzing Dividend Stocks

Investors looking to analyze dividend stocks can utilize Dividend Data's custom functions to retrieve essential metrics like dividend yields and payout ratios. This helps them evaluate the sustainability of dividends and identify stocks that align with their investment goals.

Portfolio Management

Dividend Data enhances portfolio management by allowing users to track dividends automatically and link their portfolios directly to the tool. This feature enables investors to view aggregate statistics and make adjustments based on real-time performance data.

Conducting Fundamental Analysis

Fundamental investors can leverage Dividend Data to access a wealth of financial statements, earnings reports, and key ratios. This access allows for in-depth evaluations of a company's financial health and growth potential, aiding in more informed investment decisions.

Researching Historical Performance

With 30+ years of data available, investors can research and analyze historical stock performance. This valuable insight aids in understanding market cycles and identifying potential investment opportunities based on past trends.

Identifying Stealth-Mode Founders

The primary use case is discovering founders operating in stealth mode, long before they list on AngelList or launch a fundraising process. By filtering for profiles labeled "founder" but not "funded," investors can identify talented individuals just starting their venture-building journey, allowing for the earliest possible outreach and relationship building.

Expanding Network Beyond Geographic Limits

For investors focused on specific emerging ecosystems or those located outside major hubs, Poach provides a virtual radar. By tracking VCs who are actively scouting these regions, you can surface promising founders in geographies like Cincinnati or across Europe that your own network might not reach, systematically expanding your geographic dealflow.

Thesis-Driven Sourcing

Investors with a focused thesis (e.g., "AI for science" or "developer tools") can use Poach's labeling and bio analysis to find individuals whose background and current work align perfectly. Instead of generic founder lists, you get a targeted stream of researchers turning entrepreneur or engineers building in your exact area of interest.

Competitive Intelligence & Benchmarking

Beyond direct sourcing, Poach serves as a powerful tool for competitive analysis. By observing which founders and operators competing VC firms are showing early interest in, you can gauge market trends, validate your own sourcing patterns, and understand the competitive landscape for top talent before any public announcements are made.

Dividend Data is an innovative tool designed specifically for dividend and fundamental investors seeking seamless access to comprehensive stock market data. With over 30 years of historical information covering more than 80,000 tickers, Dividend Data integrates directly into Google Sheets and Microsoft Excel, allowing users to retrieve crucial financial metrics without the need for complicated API keys or coding knowledge. This user-friendly solution empowers investors by providing instant access to key data points such as dividends, yields, payout ratios, growth rates, financial statements, and earnings. By simply typing a custom formula into their spreadsheet, users can obtain real-time data, significantly enhancing their investment analysis and decision-making process. Whether you are a seasoned investor or just starting, Dividend Data serves as a powerful ally in navigating the complex world of stock investments, making it easier to track and understand dividend performance and overall financial health.

Poach is a dealflow intelligence platform engineered to solve the most critical challenge in venture capital and early-stage investing: accessing high-quality investment opportunities before the competition. Traditional deal sourcing relies heavily on strained personal networks and reactive warm introductions, leaving investors vulnerable to missing the next breakout company. Poach provides a systematic, data-driven solution by generating a unique, predictive signal that sits between a warm intro and cold inbound. The platform algorithmically tracks the social media activity of top-tier venture capitalists, primarily on Twitter (X), to identify the founders and operators they are following. This follow activity is a powerful leading indicator of early interest, often occurring months before a founder officially begins fundraising. Poach then enriches this raw signal by matching profiles to LinkedIn, using AI to label individuals (e.g., as unfunded founders, engineers, researchers), and delivers clean, actionable lead lists directly to your inbox. Built for investors who want to proactively expand and qualify their dealflow, Poach enables users to identify stealth-mode founders and gain a multi-month advantage in seeing the next generation of transformative companies.

What types of data can I access with Dividend Data?

You can access a wide range of data, including dividends, yields, payout ratios, growth rates, financial statements, earnings, ratios, price history, and over 100 other metrics.

Is there a limit to the number of credits I can use each month?

Yes, the free tier offers 2,500 monthly credits, which can be used to access various data points. This allows users to manage their usage without incurring unexpected costs.

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

Absolutely! Dividend Data is designed to work seamlessly with both Google Sheets and Microsoft Excel, making it convenient for users to choose their preferred platform.

Do I need any coding skills to use Dividend Data?

No coding skills are necessary. The platform is built for ease of use, allowing you to simply type a formula to retrieve live data directly into your spreadsheets.

How accurate is Poach's data and labeling?

Poach employs a sophisticated, multi-layered process for accuracy. Proprietary algorithms handle identity resolution between Twitter and LinkedIn, which is then validated. The AI labeling system is trained on vast datasets of professional profiles and bios to correctly categorize individuals into roles like "founder" or "engineer." The platform is trusted by top VC firms for its reliable, actionable signal.

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

The lead time varies but is consistently substantial. Based on tracked outcomes, Poach often identifies founders 7 to 10 months before they publicly announce a fundraise. In documented cases, founders were identified in November 2024 who went on to raise rounds in the following summer, providing investors with a multi-month window to engage.

Can I track specific VCs or only a pre-selected list?

While Poach monitors a curated list of top-tier, high-signal VCs known for their early-stage scouting, the platform is built to be flexible. Users can typically request to add specific investors or partners to their tracking list, ensuring the signal is tailored to the sectors and stages most relevant to their investment strategy.

How is the data delivered, and can I integrate it with my CRM?

Data is delivered daily via a formatted email digest containing an executive summary and a full CSV export with all enriched fields (Twitter, LinkedIn, labels, bio). For advanced integration, Poach offers API access, allowing firms to automatically pipe the lead data directly into their internal CRM, dealflow management systems, or data warehouses.

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. It seamlessly integrates with Google Sheets and Microsoft Excel, providing instant access to essential metrics such as dividends, yields, and financial statements through simple formulas. Users often seek alternatives due to factors like pricing, specific feature sets, or compatibility with their preferred platforms. When searching for an alternative, it’s crucial to consider the breadth and depth of historical data offered, the ease of use in terms of integration with existing tools, and whether the pricing structure aligns with your budget. Additionally, evaluate the range of features that cater specifically to your investment strategies, ensuring the alternative meets your unique needs as an investor.

Poach is a dealflow intelligence platform designed for venture capitalists seeking a competitive edge in sourcing early-stage investments. It operates by tracking the social media activity of top investors to identify promising, unfunded founders long before they officially fundraise. Users may explore alternatives for various reasons, such as budget constraints, a need for different data sources beyond social signals, or a preference for platforms with broader market mapping capabilities. Some may seek tools with more direct outreach functionalities or different integration options with their existing CRM systems. When evaluating other tools, focus on the core signal quality and timeliness. The best alternative should provide a genuine, predictive advantage in discovering founders, not just a static database. Consider the depth of profile enrichment, the platform's ability to filter for your specific thesis, and how seamlessly it integrates into your firm's daily workflow.