Every Resource a Founder Needs to Raise and Build. In One Place
The research is done. The lists are built. The models are ready. All you have to do is use them
Most founders spend more time looking for investors than actually talking to them.
Six weeks building a spreadsheet. Another month cold emailing people who were never going to say yes. An entire fundraising cycle burned on research that already exists somewhere.
That stops today.
Below is every resource from The VC Corner I would hand to a founder raising right now. Investor lists, financial models, pitch decks from companies that made it, and launch platforms. Everything organized by where you are in the process.
Find the one closest to where you are. Start there.
Finding the Right Investors
If you’re raising pre-seed or seed
Y Combinator W26: The Complete Company Database Every company, every founder, every traction signal from the strongest YC batch ever recorded. Demo Day was March 24. Includes a downloadable Excel database of all 190 companies, color-coded by sector and filter-ready.
Family Offices That Cut Pre-Seed Checks The investor list that saves you 40 hours of research. Decision-makers who actually write checks at pre-seed, with exactly how to reach them. https://www.thevccorner.com/p/family-offices-that-cut-pre-seed
300+ VCs That Accept Cold Pitches No warm intro needed. Over 300 venture firms and angel syndicates that take cold outreach, with stage, sector, and contact details included.
2,500+ Angel Investors Backing AI and SaaS Startups The most comprehensive early-stage backer list for AI and SaaS founders. Curated to cut the noise and help you raise faster with less friction.
If you’re thinking bigger
200+ VC Funds Under $200M Still Actively Investing The funds most founders overlook. Smaller AUM means faster decisions and genuine openness to new companies. A lot of the best early-stage rounds get done here.
15,000+ VCs, Angels and the Glassdoor of Venture Capital The full investor universe, plus reputation data on which VCs actually treat founders well. Both matter. You want to know both before you take a meeting.
The 100 Most Important Pension Funds in the World The institutions controlling more than $24 trillion. How founders can identify and reach the people who actually allocate from them.
If nobody knows your startup exists yet
350+ Ways to Get Your Startup Discovered The complete list of launch and discovery platforms for getting users, press, and traffic fast. Most of them cost nothing.
Building the Financial Models That Close Rounds
Finding the right investors is step one. Showing up prepared is step two.
Investors have seen thousands of decks. They ask the same hard questions every time. What breaks your model? When do you run out of money? What does the exit look like from their seat?
These resources give you the models to answer all of it before they ask.
Financial Modeling for Founders Start here if you’re building your first serious model. Real examples, real templates, no fluff. This is the foundation everything else builds on.
The SaaS Financial Model Every Founder Needs A complete Excel model covering SaaS metrics, cash runway, and growth planning. Built for founders who want to walk into a raise with numbers that hold up under pressure.
What’s Your SaaS Company Worth in 2026? The data-backed formula private SaaS founders use to calculate their baseline ARR multiple before anyone sits across the table. Built from 63 real transactions, updated for Q1 2026.
How to Build a Real Operating Plan A fully linked startup FP&A model. Plan your growth, defend your raise, and show investors you have a genuine handle on how the business runs.
The Lean Revenue Model Every Startup Needs Track the metrics that actually matter in 15 minutes a month. No complexity, no noise. Useful well before you’re ready for a full FP&A build.
The Exit Scenario Tool You Need An Excel template that models IPO, secondary, and acquisition outcomes side by side. Investors think about exits on day one. You should too.
The Anatomy of an M&A Deal Inside an Excel Template A hands-on framework for founders, CFOs, and corp dev teams who want to understand the real economics of a deal before they’re sitting in one.
How to Model Mezzanine Financing End-to-End Most founders never need this until they suddenly do. A step-by-step breakdown of the mechanics behind modern mezzanine deals.
The Pitch Decks That Actually Raised the Money
Reading about pitch decks is useful. Seeing the real ones is different.
16 Unicorn Pitch Decks: Before the Billions The actual slides used to raise their first rounds. Before the valuations, before the press. What they showed when they had nothing but a thesis.
26 Pitch Decks That Raised $400M in 2026 Pre-seed to Series B. The decks that closed, with what actually worked in each one.
Anthropic’s 2022 Pitch Deck Just Leaked 10 slides. No product. FTX money. Now worth $61B. Worth studying for the narrative architecture alone.
Peter Thiel Only Explained Once How to Raise Money. Here It Is. A rare document from the PayPal and Founders Fund co-founder. The only deck he ever wrote himself, and the lessons that still hold up.
What Top VCs Actually Want to See
What Top-Tier VCs Actually Look For in 2026 40 questions they will ask you. The benchmarks they measure you against. The 15 things that kill deals before they start. How Sequoia, a16z, and Benchmark each actually decide.
What Top VCs Check in Due Diligence Before Writing Checks The one-page framework that shows investors you’re ready before they open a single data room document. Includes an Excel template. https://www.thevccorner.com/p/vc-due-diligence-checklist-excel
The Ultimate Startup Data Room Template The exact checklist top investors use to evaluate companies. Decks, cap tables, traction, legal documents. Everything in the right place before they ask for it.
80+ Ways to Fund Your Startup Without Giving Up a Single Share Grants, revenue-based financing, prizes, government programs, venture debt, and corporate credits. Zero equity required.
Pick the one that matches where you are right now.
The research is done. The models are built. The decks are there to learn from.
The only variable left is execution.