Founder Unfriendly: The AI Powered Fundraising Companion to the Bestselling Book

Before you run these exercises

Chapter 8 is the most operationally dense chapter in the book — it's the one that tells you how to actually run a fundraise, not just prepare for it. There's a specific investor taxonomy here with a risk/patience matrix that changes how you should think about who to approach and in what order. There's a fundraising funnel with actual conversion numbers. And there's a section on talking big without lying that draws a precise line between ambition and dishonesty — one that most advice on fundraising gets completely wrong.

This chapter rewards close reading before you start the exercises. Several of the AI prompts below reference specific frameworks from the book — the investor ICP concept, the 3-week timeline, the "Step on the Gas" test — that will land differently once you've read the chapter and understand the logic behind them.

Claude

Exercise 01

Build Your List the Right Way: Start With Real Data

The chapter defines the three filters every investor must pass — right stage, right category, right geography. But before you can apply those filters, you need a list worth filtering. And the sequence matters enormously: AI-generated lists are hypotheses. Data you pull yourself is raw material. Founder-verified lists are signal. Use them in that order.

Start with structured data sources that reflect what actually happened — not what AI remembers from its training data. Then layer in human intelligence from founders who actually ran the process. Then use AI to analyze all of it. The mistake most founders make is asking AI to generate the list and then trying to verify it. That's backwards.

Step 1 — Pull raw data from real sources

Crunchbase ($50–$299/mo) best structured starting point

Crunchbase Pro gives you enough data to download every lead investor in your space for the last 12 months as a spreadsheet. That's the actual market — not AI's recollection of it. How to use it: 1. Filter by funding type (pre-seed, seed), date range (last 12 months), and category tags that match your space 2. Filter for "lead investor" specifically — you want the firms writing the check, not everyone who participated 3. Download the full results as a CSV — you now have a real dataset: firm names, deal counts, recent activity This is your raw input. You haven't verified anything yet — but you have a list of firms that demonstrably wrote checks in your category recently. That's a fundamentally better starting point than anything AI generates.

LinkedIn investor lists find pre-filtered lists others have compiled

LinkedIn has a large number of investor lists that founders, accelerators, and ecosystem players have already compiled and shared — often organized by stage, category, or geography. These are worth finding because someone else has already done a layer of filtering. How to find them: - Search LinkedIn for: "seed investors [your category]" or "pre-seed investors [your space] list" - Look for posts from accelerator operators, VC scouts, and ecosystem connectors — they often publish investor lists as content - Check the profiles of founders who recently raised in your space — they sometimes post about their investors or share lists These are raw input too — not verified, but filtered by someone with more context than a search algorithm. Add them to your Crunchbase data before you do any analysis.

Step 2 — Add human intelligence

Prompt → Claude find the right founders to talk to

I've pulled a raw investor list from Crunchbase and LinkedIn. Before I analyze it, I want to add a layer of founder intelligence — talking to founders who actually pitched these investors recently. Here's my company: [what you're building, your stage, your category] Help me: 1. What does "adjacent but non-competitive" look like for my category — what spaces would share a similar investor base with no conflict in sharing their list? 2. How do I find founders who raised in those spaces in the last 12–18 months? Give me specific search strategies on LinkedIn and Crunchbase, not just "search LinkedIn." 3. Draft a short outreach message asking for 20 minutes — honest about what I'm asking for, not disguised as a casual coffee chat 4. What specific questions get the most useful intelligence on the call — not just "who did you pitch?" but the questions that surface who actually engaged, who surprised them, and who they'd avoid

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The best question to ask a founder: "Who surprised you — either by being more interested than you expected, or by passing on something you thought was obvious?" That answer reveals current appetite that no database captures. A firm that surprised a founder by passing is a firm you should understand before you pitch. A firm that surprised them by moving fast is one you should prioritize.

Claude + Manual

Exercise 02

Use AI to Go Deeper on Names You Already Have

You now have a raw dataset — firms from Crunchbase, names from LinkedIn lists, investors from founder conversations. None of it is verified yet, but all of it has more provenance than anything AI would generate cold. This is the right moment to bring AI in: not to create the list, but to analyze it.

The workflow is research first, then verify the things AI can't see, then synthesize. Treating AI output as the end product skips the due diligence that actually protects you from walking into a meeting with someone who left their firm six months ago — or who has capital but no authority to deploy it.

Research each name

Prompt → Claude run for each investor on your verified list

I have a name from a trusted source and want to go deeper before I reach out. The investor is [name] at [firm]. Help me research them thoroughly using public information: 1. What is their stated thesis or public writing about my category — have they written, spoken, or posted about this space? What do they actually seem to believe about where it's going? 2. What deals are they publicly credited with in or adjacent to my category, and how recent are they? 3. What is their current status at the firm — are there any signals they've moved, are between funds, or have changed focus? 4. What questions or objections are they known to focus on — based on their public writing or founder accounts of working with them? 5. What's the specific angle of my pitch that maps most directly to what they've said they care about? For each finding, tell me your confidence level and what you're basing it on — I want to know what's solid vs. what's inference.

Verify what AI can't confirm

Manual checks — required before outreach these exist independently of what anyone has published

AI finds what people have published about themselves — which is not the same as independent verification. For any investor you're serious about, do these checks before you reach out: LinkedIn (2 min per person): Current role, start date, and recent activity. If their role doesn't match what your source told you, they may have moved. If they joined recently, they may not yet have deal authority. This is the only source that updates in real time. For anyone whose status is unclear — verify the deal directly: Find a founder of a company they supposedly backed on LinkedIn and send: "I was given [investor name] as a reference — would you be willing to confirm they invested in your company and share a brief word about working with them?" Real investors expect this and welcome it. For anyone claiming to represent a family office or private fund: Search SEC EDGAR (efts.sec.gov) for their name and their entity name. Registered investment advisors who manage outside capital must file Form ADV. Search your state's secretary of state database for their claimed entity — a real family office has a legal entity. "I invest through my family office" with no findable entity is a signal worth understanding before you proceed. Google: "[name] + [firm] + lawsuit" or "[name] + SEC enforcement" Takes 60 seconds. Worth doing.

Then → Claude prioritize and personalize

Here's my verified investor list with research notes for each: [paste your notes — what you found, what you couldn't confirm, LinkedIn status, any flags] Here's my company: [stage, traction, team, category] Now help me: 1. Rank these by actual likelihood of writing a check — not prestige, but genuine fit given what we know about each one 2. Flag anyone where the research raised questions I should resolve before I reach out 3. For the top 5, draft a one-paragraph personalized outreach opening for each — referencing something specific about their thesis or portfolio, not generic flattery 4. Identify who should be in my first wave of outreach to generate early momentum

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The funnel math from the chapter: to get 2–3 final offers, you likely need 100 qualified leads, 40–60 first meetings, 10–20 second meetings, and 5–8 partnership meetings. A human-verified list of 20 names is a better starting point than an AI-generated list of 100 — but even 20 isn't enough for a full funnel. Plan to keep adding names throughout the process, always starting from human sources.

Running the process

Claude

Exercise 03

Design Your 3-Week Investor Timeline

The chapter gives you a specific framework for creating urgency without faking demand: a three-week structured process with explicit go/no-go milestones at the end of each week. The power isn't in the deadline itself — it's in the fact that you actually follow through. Investors who are interested move fast. Investors who are slow-rolling you are telling you something.

A deal with no deadline never closes. The chapter lays out the exact structure — Week 1 is high-level fit, Week 2 is deep dive, Week 3 is final alignment. Use Claude to customize this for your specific raise and draft the language you'll use to communicate it.

Prompt → Claude

Help me design a structured 3-week investor decision timeline for my raise, based on the framework from Founder Unfriendly. The book's structure: - Week 1 (High-Level Fit): Intro call + deck. Ask "Who else should be looped in if this is a fit?" End with Go/No-Go #1. - Week 2 (Deep Dive): Product, traction, competition deep dive with all stakeholders. Data room access. Check for missing decision-makers. Go/No-Go #2. - Week 3 (Final Alignment): Partner meeting with all decision-makers. Final questions + decision deadline. Go/No-Go #3. Here's my raise: [stage, amount, type of investor you're targeting] Here's where I am in the process: [just starting / mid-process / have some interest already] Help me: 1. Customize each week's agenda for my specific type of raise — what should happen in each go/no-go conversation? 2. Draft the language I'd use to introduce this timeline to an investor at the start of Week 1 — something that sounds confident and respectful of their time, not pushy 3. Draft the language for the "cut off" message — the one you send when an investor misses a milestone or goes quiet, to either re-engage them fast or get a clean no 4. What's the right way to manage multiple investors on staggered timelines so conversations overlap and I can create genuine momentum?

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Every meeting must end with a specific next step and a date. Not "I'll send you more info." Not "We'll be in touch." The chapter is explicit: "Let's schedule the partner meeting for next Wednesday" is the move. If an investor won't commit to a next step in the meeting, that's data — and it should push them down the priority list.

Claude

Exercise 04

The Step on the Gas Test

The chapter introduces a specific test for finding the right level of ambition in your projections — not what's conservative, not what's fantasy, but what's possible and defensible. The mechanic is simple: take your current projections and ask whether you could double them. If yes, do it. Then double them again. Keep pushing until you hit the point where you'd say to yourself: "No one would ever write us that check, and I wouldn't write it myself." That's your ceiling. The number just below it is what you should be pitching.

The chapter also draws a precise line between ambition and dishonesty — one that most founders get wrong in both directions. Some sandbag. Some overstate. The distinction is between selling possibility and claiming certainty. Read the chapter for the full argument, then use this to find your number.

Prompt → Claude

Help me run the "Step on the Gas" test from Founder Unfriendly on my financial projections. The test: take my current projections and push them until they break — until I'd say "no one would write us that check, and I wouldn't write it myself." The number just below that is what I should be pitching with confidence. The book also has a sanity check for whether a projection is investable: - Is there a team that's done this before I can learn from or hire? - Does my plan require capital in line with what others have raised? - Can I sketch a plan that builds realistically quarter over quarter? Here are my current projections: [your revenue/growth projections for the next 2–3 years] Here's what I'm raising and for what purpose: [raise amount and use of funds] Walk me through: 1. Can these projections be doubled with the same capital? What would have to be true for that to work? 2. Can they be doubled again? At what point does the plan start breaking — what specifically fails first? 3. Apply the sanity check: are there comparable companies who hit numbers like this? Do I need capital out of line with what's been raised before? 4. What's the most ambitious version of this plan that still passes the "I'd write this check myself" test? 5. Am I sandbagging anywhere — is there a part of the plan where I'm being artificially conservative to avoid being wrong?

💡

The chapter has a name for a specific mistake founders make with their projections — one that signals the opposite of what they intend. It's subtle, extremely common, and especially damaging for founders from finance or accounting backgrounds. Read the "Down to the Penny" section before you finalize any numbers you plan to share in a meeting.

Meeting analysis

Granola + Claude

Exercise 05

Run Your Pipeline Like a Sales CRM

The chapter is explicit that fundraising is just sales — and that means running it like a sales process, not a series of hope-filled coffee meetings. That means a pipeline with stages, conversion tracking, next steps with dates, and a systematic way to cut off what isn't moving. Granola captures what actually happened in each meeting. Claude turns that into pipeline hygiene.

After each investor meeting, the workflow is: Granola summary → Claude debrief → pipeline update. Over time, the pattern across meetings tells you where you're losing deals and what to fix.

Before the meeting — set your intentions

Prompt → Claude run this before each meeting, save the output

I have an investor meeting coming up. Before I go in, I want to be explicit about what I'm trying to accomplish — not just "go well," but the specific things I need this investor to believe by the end of the conversation. Here's what I know about this investor: [their thesis, portfolio, anything they've said publicly, stage of our process] Here's my company: [one paragraph] Help me define: 1. The 3 things I most need this investor to be convinced of by the end of this meeting — the specific beliefs that, if they hold them walking out, make a yes likely 2. For each one, what's the most direct way to establish it? (Evidence, story, demo, reference — what's the mechanism?) 3. What's the one objection most likely to block conviction on each point, and how should I get ahead of it? 4. Is there anything I've been avoiding saying clearly that I need to just say in this meeting? Save this. After the meeting, you'll compare it against what actually happened.

After the meeting — debrief against your intentions

Prompt → Claude paste Granola transcript + your pre-meeting intentions

Here's the Granola transcript from my investor meeting: [paste] Before this meeting, I identified these as the 3 things I needed the investor to be convinced of: [paste your pre-meeting intentions from the prompt above] Analyze the transcript against those intentions: 1. Conviction check — for each of the 3 things I set out to establish: - Did I actually make the case for it, or did I avoid it or only hint at it? - Did the investor respond in a way that suggests they were convinced, skeptical, or indifferent? - If I never made the case clearly, was there a moment where I could have and didn't? 2. Pipeline update: - Where does this investor sit in the process now vs. where I thought they were? - Did this meeting produce a clear next step with a date? If not, draft the follow-up that pins one down. - What's the honest probability they write a check, and what's the single thing that would move it most? 3. Decision: keep active, slow track, or send the cut-off message? Pipeline stages: Lead → First Meeting → Second Meeting → Partner Meeting → Term Sheet → Closed / Passed

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The most common finding: founders often never actually make the case for the thing they most need the investor to believe. They circle it, they imply it, they assume it's obvious — and then they're surprised when it comes up as an objection in the next meeting. The pre-meeting intention-setting forces you to name it explicitly. The post-meeting transcript check tells you whether you said it out loud. Often you didn't.

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The chapter's cut-off language: "It seems you're not as enthusiastic about the business as some other investors, so I'd move for us to pause our conversations right now so we can focus on more interested investors." It's not a trick — it's a real signal sent to both sides. Either they are interested and you'll know, or they're not and you've freed up time.

Before you move to Chapter 9

Chapter 8 reframes fundraising as a process you run, not an outcome you hope for. The founders who close rounds aren't charming their way to yeses — they're working a funnel, managing a clock, and creating conditions where yes is the obvious answer.

Before you move on: have a qualified investor list with genuine ICP fit (not just "they have money"), a structured timeline you'll actually use, and a financial story you've pushed until it broke and then pulled back one step. And know which investor types are currently expressing interest — because misaligned money on your cap table is a problem that starts the day you take the check, not the day things go sideways.

Sell Me This Pen

Before you run these exercises