Dividend Data vs Poach

Spreadsheet Superpowers

This is the core magic. The add-in gives you a library of custom functions (like DIVIDENDDATA_DIVIDENDS, DIVIDENDDATA_RATIOS, etc.) that work directly in your cells. No more tab-hopping to finance sites. You build your own live, updating financial models and dashboards right inside the comfort of Google Sheets or Excel. It automates the tedious data-grunt work so you can focus on the actual analysis.

Deep Dividend & Fundamental Data Dive

Built for the income-focused crowd, it delivers the specific metrics you crave. Get forward dividends, yields, ex-dates, payout ratios, and dividend growth rates instantly. But it doesn't stop there; you also get the full context with PE ratios, EPS, revenue, balance sheet items, and over 100 other fundamental metrics. It's like having a direct feed from the market's brain into your spreadsheet.

30+ Years of Historical Context

You can't make smart decisions with just today's data. Dividend Data hooks you up with decades of historical data for those 80,000+ tickers. This lets you backtest strategies, analyze long-term trends, calculate compound growth rates, and see how a company performed through different market cycles. It's your financial time machine, no DeLorean required.

AI-Powered Research Assistant (Pro Terminal)

Beyond the spreadsheets, their flagship web app, the Dividend Data Terminal, includes an AI Analyst. This is your on-demand research buddy. Chat with it to get summaries, ask complex questions about stocks, and generate insights without digging through 10-Ks yourself. It supercharges your initial research phase before you even build your spreadsheet model.

VC Twitter Tracking

We monitor who the top-tier VCs and investors are following on Twitter (or X, whatever). This isn't random social scrolling; a VC follow is a high-conviction signal. It's often their first digital handshake with a promising founder they're scouting, giving you a peek into their pipeline months before a deck gets circulated. We track the signal so you don't have to manually cyber-stalk a hundred investors.

LinkedIn Enrichment & Identity Resolution

Raw Twitter handles are useless without context. Our proprietary tech is the secret sauce that matches those Twitter accounts to real LinkedIn profiles. This gives you the full picture: work history, education, past exits—the real resume stuff. We connect the social signal to professional reality, turning a username into a full profile you can actually evaluate.

AI-Powered Labeling & Bios

Our AI doesn't just stop at finding people. It analyzes both the Twitter bio and the enriched LinkedIn data to slap smart, actionable labels on each person. Think: "founder," "funded," "engineering," "research." It even writes a concise, human-like bio summarizing who they are and what they do. This lets you filter out the noise and instantly find the exact talent or founder profile you're hunting for.

Raw Data Delivery (CSV/API)

No fluff, no locked-in platform. You get the raw, enriched data delivered straight to you every morning via a clean CSV export to your inbox. Want to pipe it directly into your CRM or internal tools? Use our API. You own the signal and can slice, dice, and filter it however you want—like finding all "founder" labels without the "funded" tag to target truly stealth-mode talent.

Building a Dynamic Dividend Dashboard

Create a master spreadsheet that tracks your entire watchlist or portfolio. Use formulas to pull in live dividend yields, next ex-dates, payout ratios, and stock prices. Watch it update automatically, giving you a real-time snapshot of your income investments without manual refreshes. Perfect for tracking your dividend calendar.

Screening for Dividend Aristocrats & Growers

Use the historical data functions to screen for stocks with a proven track record. Build formulas that check for consecutive years of dividend growth, analyze growth rates over 5 or 10 years, and filter by safe payout ratios. You can create a powerful, custom stock screener that lives right in your Sheets or Excel.

Performing Deep-Dive Company Analysis

When you find a interesting stock, go deep. Pull 10 years of income statements, balance sheets, and cash flow statements directly into a sheet to build your own financial models and ratio analysis. Calculate trends in debt, margins, and returns on equity without ever leaving your workbook.

Automating Portfolio Performance Reports

Link your portfolio holdings and use Dividend Data to automatically pull in current prices, dividend amounts, and YTD performance metrics. Combine this with your share counts to calculate total portfolio value, projected annual income, and overall yield. Automate your monthly or quarterly performance review reports.

Identifying Stealth-Mode Founders

The holy grail. Use Poach to filter for profiles labeled "founder" but NOT "funded." This surfaces entrepreneurs building in stealth, often before they've even registered a domain name. You get the chance to be the first investor they talk to, building a relationship long before a formal raise. It's the ultimate edge in early-stage sourcing.

Expanding Thematic Deal Flow

Got a thesis in AI, climate tech, or web3? Use Poach's AI labels and bio analysis to track when top VCs in that niche start following new engineers, researchers ("research" label), or product leads ("product" label). It signals emerging talent clusters and new companies forming in your specific area of interest, supercharging your thematic sourcing.

Competitive Intelligence & Scout Tracking

Want to know which startups your competitor VC is sniffing around? Track their partners on Poach. Seeing them follow a cluster of engineers from a big tech company could signal a pending spin-out or a new team forming. It's competitive intelligence that's actually actionable, giving you insight into other firms' sourcing strategies.

Building a Talent Pipeline for Portfolio Companies

It's not just for deal flow. Use Poach to source top-tier, passive talent for your portfolio companies. Set up alerts for when amazing "engineering" or "design" labeled profiles get followed by respected investors. These are vetted, high-signal individuals who are on the radar of smart people, making them perfect candidates for your startups to recruit.

Alright, let's cut through the Wall Street jargon. Dividend Data is your new bestie for stock analysis, but it lives where you already work: your spreadsheet. Think of it as a magic wand for Google Sheets and Microsoft Excel that summons decades of stock market intel with a simple formula. Done with copying and pasting data from sketchy websites or wrestling with complex API keys? This tool is built for that exact pain point. It's specifically crafted for dividend and fundamental investors who are tired of paying Bloomberg Terminal prices but still want that institutional-grade data. We're talking instant access to dividends, yields, payout ratios, growth rates, full financial statements, earnings, key ratios, price history, and over 100 other metrics. The best part? You just type something like =DIVIDENDDATA_DIVIDENDS("MSFT") and bam, the data appears live. It's got a legit free tier that doesn't ghost you after a trial (2,500 credits monthly, forever), covers over 80,000 tickers with 30+ years of history, and was built by a dividend investor who actually gets what you need. This is for the investor who wants to level up their research game without the institutional price tag or headache.

Yo, VCs and scouts. Tired of the same old, tired dealflow? Getting pitched the same recycled decks after a founder's already got a term sheet? That's weak. Poach is your cheat code to the pre-game. We're basically the ultimate VC stalker tool, but, like, for a good cause. We automate the creepy part so you can do the cool part. Here's the deal: we track the Twitter follows of top-tier investors. When a VC starts following someone new, it's a massive signal. They're not just following randos for memes; it's often an early peek at a founder they're scouting, sometimes months before that founder even thinks about raising a seed round. Poach takes that raw Twitter signal, matches it to LinkedIn (our secret sauce), and then our AI slaps smart labels on everyone—like "founder," "engineer," "funded," etc. You get a clean CSV dump of this gold every morning. It's that magical, high-quality signal that sits perfectly between a warm intro and cold inbound. It's for investors who want to be first, not just another name on a crowded cap table. Stop being late to the party. Poach gives you the backstage pass to find founders before they're even on the main stage.

Is there really a free plan?

Yes, for real! The free plan gives you 2,500 credits every single month, and it never expires. No credit card needed to start. It's perfect for individual investors doing periodic research. You're not getting a 7-day trial that forces you to pay; you get a permanently useful free tier.

How do I get started? Is it complicated?

Not at all. If you use Google Sheets, just install the add-on from the Google Workspace Marketplace. For Excel, get it from Microsoft AppSource. Once installed, a sidebar will appear, and you can start typing the =DIVIDENDDATA... formulas directly into your cells. No coding, no API key setup.

What's the difference between the Spreadsheet add-in and the Pro Terminal?

The Spreadsheet add-in is about getting data into your existing workflow (Sheets/Excel). The Pro Terminal is their full web application with advanced data visualizations, the AI Analyst for chat-based research, and automated portfolio tracking tools. They complement each other; many users start with the spreadsheets and upgrade to the Terminal for deeper analysis.

What counts as a "credit"?

A credit is typically used each time you call a formula that fetches new data. For example, using =DIVIDENDDATA_QUOTE("AAPL", "price") might cost 1 credit. Pulling a longer history might cost a few more. The system is designed so the 2,500 free credits are plenty for substantial individual use.

How accurate is the Twitter follow signal?

It's shockingly good. Top VCs don't follow randos; their follow list is a curated signal of interest. A new follow often precedes a meeting, an angel check, or just plain old scouting. We've tracked founders who were followed 7-10 months before they publicly announced a fundraise. It's not a guarantee of a deal, but it's the highest-quality early signal you can get algorithmically.

What's your data privacy and sourcing policy?

We only track public data. Twitter follows are public, and we match to public LinkedIn profiles. We don't access private messages or any non-public info. We're basically automating the research a junior associate would do manually but at scale and without the creepy vibe. It's all above board.

Can I track any VC or just a preset list?

You can track any VC or investor with a public Twitter account. Our platform lets you add the Twitter handles of the specific firms, partners, or scouts you care about. Build your own watchlist of the signal sources that matter most to your thesis or competitive landscape.

How fresh is the data? How often is it updated?

The data is live. We monitor follows in real-time and process them through our enrichment and AI labeling pipeline. You get a fresh, clean CSV dump delivered to your inbox every single morning by 8 AM, so you're always working with the latest intel. It's your daily dealflow briefing, automated.

So you've heard about Dividend Data, the tool that slaps 30+ years of stock market intel for 80k+ tickers straight into your Sheets or Excel. No API keys, no coding, just simple formulas. It's basically the cheat code for dividend and fundamental investors who want deep data without the Wall Street price tag. People hunt for alternatives for all the usual suspects. Maybe the pricing feels off, they need a feature that's missing, or their workflow lives on a different platform entirely. It's all about finding the right fit for your specific investing grind. When you're scoping out other options, keep your non-negotiables front of mind. Think about your budget (free tiers are a vibe), the specific data points you absolutely need, whether it plays nice with your spreadsheet of choice, and if the historical data goes back far enough for your strategy. Don't sleep on the user experience either—if it's clunky, you just won't use it.

Poach is your secret weapon for early-stage dealflow, sitting in the category of VC intelligence and founder scouting tools. It automates the stalking so you can find founders way before they hit the fundraising circuit, turning quiet Twitter follows into actionable leads. People hunt for alternatives for all the usual reasons. Maybe the price tag doesn't fit their scout budget, or they need the data to plug directly into their own CRM. Some crews just prefer a different vibe or need features that go beyond social surveillance. When you're sizing up other options, you gotta ask the right questions. Can it actually connect Twitter activity to real-world identities like Poach does? Does it have the AI chops to label people automatically, or are you stuck with raw data? Most importantly, will it give you that unfair advantage to spot talent first, or just repackage public info everyone else already has?