At your pitches, three different investors gave you the same feedback in three different ways: the creative story is beautiful, but show me the math. That's not a rejection — it's an invitation. Investors are pattern-matchers. They've seen hundreds of decks, and they're listening for specific vocabulary that signals you understand what their money does inside your company.
This presentation teaches that vocabulary using your actual numbers — the same figures in your financial model and visualizer. By the end, when an investor asks "what's your LTV to CAC?" you won't just have an answer, you'll understand why they asked, what a good answer sounds like, and how your number compares to the benchmark in their head.
Work through this together. Quiz each other. The goal isn't memorization — it's being able to explain each concept to someone else in one sentence. That's the test of real understanding, and it's exactly what socializing at investor events demands.
| Holder | Shares | Ownership |
|---|---|---|
| David Cambranes (CEO) | 5,000,000 | 50% |
| Abigail Cambranes (CAO) | 5,000,000 | 50% |
| Total Common Issued | 10,000,000 | 100% |
| Preferred (authorized, unissued) | 10,000,000 | — reserved for investors — |
A share is simply a slice of ownership. The number of shares is arbitrary — what matters is the percentage. You could have 100 shares or 100 million; owning half is owning half. Startups authorize millions of shares for a practical reason: granularity. When you want to give an early employee 0.5% of the company, it's much cleaner to grant them 50,000 shares out of 10 million than 0.5 shares out of 100.
Notice the distinction between authorized and issued. You authorized 20 million total shares with Delaware, but only issued 10 million to yourselves. The other 10 million preferred shares exist on paper as capacity — like printed but unsold tickets. When investors come in, you issue shares from that reserve. This is why you answered "yes" to preferred stock on LegalZoom: you built the shelf before you needed it.
Why preferred matters to investors: preferred shares carry special rights — typically liquidation preference (they get paid back first if the company sells) and anti-dilution protection. When an investor asks "what class of stock would I receive?", the answer "preferred, with standard rights" signals you've done this before. Common for founders, preferred for investors — that's the convention across virtually all venture-backed startups.
Before the SAFE existed (Y Combinator created it in 2013), early-stage fundraising meant either pricing your company precisely — nearly impossible pre-revenue — or using convertible notes, which are technically debt with interest rates and deadlines. The SAFE removed all of that. It's a five-page document that says: thanks for the money, you'll get equity when we raise a real priced round, and here's the maximum valuation your conversion will be calculated at.
The genius of the SAFE is that it defers the valuation argument. You and your investor don't have to agree on exactly what LaunchPad is worth today — you only agree on a ceiling (the cap). This makes deals close in days instead of months and keeps legal fees near zero. For a $250K pre-seed raise, a SAFE is not just acceptable — it's what sophisticated investors expect to see. Showing up with one signals fluency.
One nuance worth knowing: SAFEs come in pre-money and post-money flavors. The post-money SAFE (now standard) means the cap includes the money being raised, which makes the investor's ownership percentage predictable: $250K into a $1.75M post-money cap = exactly 14.3%. If an investor asks which type you're using, "post-money, the current YC standard" is the right answer.
| Cap You Set | Investor Gets | You Keep (combined) |
|---|---|---|
| $1,000,000 | 25.0% | 75.0% |
| $1,750,000 | 14.3% | 85.7% |
| $2,500,000 | 10.0% | 90.0% |
The valuation cap answers one question: when this SAFE converts to shares, what's the maximum price the investor pays? A lower cap means the investor gets more of your company for the same money — good for them. A higher cap means you keep more — good for you. The negotiation is finding the number where both sides feel the risk is fairly priced.
How do you defend $1.75M? Not with vibes — with comparables and traction. You have a live iOS app, 30 beta users, a shipped product with four revenue streams designed, a Delaware C corp, and a Head of Engineering. Pre-seed companies at this stage in secondary markets (not SF/NYC) commonly raise at caps between $1M and $3M. Your $1.75M sits deliberately in the investor-friendly half of that range — which is itself a talking point: "We priced this to be attractive. We'd rather have great partners at a fair cap than squeeze every dollar of valuation."
The mistake to avoid: founders who push the cap too high too early often regret it. If you raise at a $4M cap now and your seed round later prices at $3M, that's a "down round" dynamic that demoralizes everyone. A modest cap that you blow past is far better than an aggressive cap you limp under. Leave room to win.
| Event | David + Abby Own | Company Value | Your Stake Worth |
|---|---|---|---|
| Today (pre-raise) | 100% | ~$1.5M (implied) | $1.5M |
| After $250K SAFE converts | 85.7% | $1.75M | $1.5M |
| Y5 base case (4x revenue) | ~70%* | $6.79M | ~$4.8M |
*assumes a future seed round adds further ~15% dilution
Dilution is the word for your ownership percentage shrinking as new shares are issued to investors. It sounds like losing something, and emotionally it can feel that way — you started with 100% and every round takes a bite. But the math tells a different story: dilution trades percentage for velocity. The question is never "how much did we give up?" It's "did the money grow the pie faster than it shrank our slice?"
Run your own numbers: at 100% ownership of a bootstrapped LaunchPad growing slowly, your stake might be worth $1.5M in five years — if you survive that long on $500/month engineering budgets. At ~70% of a funded LaunchPad that hit its Y5 model, your stake is worth roughly $4.8M. The diluted founders are nearly 3x wealthier. This is the venture math that took Airbnb's founders to billions while owning under 15% each at IPO.
When dilution IS a problem: giving away too much too early. If you sold 40% at pre-seed, you'd have little left to sell at seed and Series A, and later investors get nervous when founders own too little to stay motivated (they want founders holding 50%+ after seed). Your planned 14.3% is squarely in the healthy zone — meaningful capital, modest dilution, plenty of room for future rounds.
ARPU is the investor's microscope. Top-line revenue tells them how big you are; ARPU tells them how the machine works. When the investor at your second pitch asked "how do you make money per user?" — this was the exact number he wanted. It converts your four revenue streams from a list of features into a per-person dollar figure anyone can sanity-check.
Your ARPU math is built from behavior assumptions: a free creative gets hired 3.2 times a year (one gig every 3-4 months — deliberately conservative), each hire generates ~$58 in blended transaction fees paid by the client, and they buy a couple of feed boosts. Stack it up: $214/year from a user who pays you nothing directly. That's the beauty of a marketplace — even free users generate revenue through activity.
The Pro tier is your ARPU multiplier. A Pro creative pays $348/year in subscription ($29/mo — founding beta cohort locked at $19), but more importantly they're more active — 6 hires instead of 3.2, double the boosts — landing at $754/year. The story investors love here: you don't need every user to convert to Pro. Even at 17% Pro conversion (your Y1 assumption), the blended ARPU across your creative base climbs steadily. Every percentage point of Pro conversion is nearly pure profit.
CAC is the price tag on growth. Every user has one, whether you measure it or not — the Instagram ads, the launch events, the referral bonuses, even the time you spend at networking nights, all divided by the users those efforts produce. Investors obsess over CAC because it's the denominator of the most important ratio in your business (next slide), and because CAC that rises as you scale is the silent killer of marketplace startups.
Your corrected expense model tells a story investors will like: engineering is nearly free ($500/month with Bryce on deferred equity), G&A is a few hundred a month, so marketing is deliberately your dominant cost. That's the right shape for a marketplace at your stage — every dollar goes toward the chicken-and-egg problem of getting creatives and clients into the same room. You're not paying for servers and salaries; you're paying for density.
The geo-phased strategy is also a CAC strategy, and you should say so out loud in pitches. Acquiring users in one small, connected market (Rhode Island) is cheaper than spreading thin nationally — local press covers you, creatives know each other, one wedding photographer tells five others. "Our launch geography is our CAC moat" is a sophisticated line that connects your go-to-market to your unit economics in one sentence.
| Segment | 3-Yr LTV | CAC | LTV : CAC | Benchmark |
|---|---|---|---|---|
| Free Creative | $643 | $35 | 18x | 3x = healthy 5x = strong 10x+ = exceptional |
| Pro Creative | $2,261 | $35 | 65x | |
| Client | $1,543 | $35 | 44x |
If you learn one ratio from this entire deck, make it this one. LTV:CAC answers the investor's deepest question in a single number: when you put a dollar into this machine, how many dollars come out? An LTV:CAC of 1x means you spend $35 to earn $35 — you're running in place. Below 1x, you're lighting money on fire with every new user. The venture benchmark is 3x minimum; at 3x, every acquisition dollar returns three, which funds more acquisition, which compounds.
Your numbers are dramatically above benchmark — 18x to 65x — and you should present them with appropriate humility: these are modeled figures built on assumptions (3-year retention, $35 CAC, hire frequency), not yet observed data. The honest framing is powerful: "Even if our CAC triples to $100 and retention halves, our worst segment still clears 3x. The model has enormous margin for error." That sentence — showing you've stress-tested your own assumptions — builds more credibility than the raw numbers themselves.
One subtlety worth knowing: investors will ask about payback period — how many months until a user's revenue covers their CAC. At $214/year ARPU and $35 CAC, a free creative pays back in about two months. Under 12 months is considered good; under 6 is excellent. Two is exceptional. Add that to your vocabulary: "sub-3-month CAC payback."
Gross margin is how investors separate businesses that scale from businesses that just grow. A restaurant doubling its revenue must roughly double its food and labor costs — maybe 30% gross margin. A software platform doubling its revenue adds a few server dollars — 80-90% margin. When your second investor said "for SaaS companies, investors like to see 80%," this is the number he meant, and it was the sharpest piece of feedback you received all night.
Here's why your old flat-fee model failed this test and the revised model passes it. Under flat fees, a $5,000 project generated $30 of revenue for LaunchPad — the investor mentally computed that as a 0.6% take rate and got scared. It's not technically a margin problem (your margin on that $30 was still high), but it's a revenue capture problem: the platform touches enormous value and keeps almost none. The tiered client-side fee fixes it: that same $5,000 project now generates $400 (8%), and your cost to process it is about $48 in COGS. The platform finally captures value proportional to the value it creates.
Know your COGS cold, because the follow-up question is always "what's in the 12%?": Stripe's processing fees (2.9% + $0.30 per transaction — your biggest direct cost), Supabase and hosting infrastructure, and customer support. Notably absent: salaries, marketing, rent. Those are operating expenses, below the gross margin line — which brings us to EBITDA.
| Y1 | Y2 | Y3 | Y4 | Y5 | |
|---|---|---|---|---|---|
| Revenue | $43.5K | $151K | $425K | $910K | $1.70M |
| Operating Expenses | $71K | $197K | $316K | $450K | $605K |
| EBITDA | −$33K | −$64K | +$58K | +$351K | +$889K |
EBITDA — Earnings Before Interest, Taxes, Depreciation, and Amortization — is the closest thing to "real profit" that early-stage conversations use. It's gross profit minus operating expenses: what's left after you've paid for the product and the people, marketing, and overhead. Negative EBITDA isn't shameful at your stage — virtually every venture-backed startup burns money early. What investors evaluate is the shape of the curve: is the loss shrinking, and when does it cross zero?
Your corrected model has a beautiful shape. Y1 and Y2 burn a combined ~$97K (this is your burn — the cash consumed before breakeven), then Y3 crosses into positive territory and the curve steepens fast. This is where your lean-cost discipline becomes a pitch weapon: because Bryce works for deferred equity and your G&A is a few hundred dollars a month, your burn is a fraction of what comparable startups spend. "Our biggest expense is growth itself" — marketing — is exactly what investors want to hear money is for.
Runway is burn translated into time: cash in the bank ÷ monthly burn = months until empty. With $250K raised against ~$5-8K average monthly burn in the first two years, your runway exceeds 24 months — enough to reach EBITDA-positive without raising again. That's a rare and powerful position. Most startups raise their seed round under duress, six months from death. You'd be raising your next round (if you even need one) from strength, with revenue and profitability data in hand. Say that in every pitch.
| Scenario | Y5 Revenue | Multiple | Company Value | Investor Return |
|---|---|---|---|---|
| Conservative | $1.2M | 3x | $3.6M | 2.1x |
| Base Case | $1.70M | 4x | $6.79M | 3.9x |
| Upside | $2.4M | 6x | $14.4M | 8.2x |
Investors make money in exactly one way: an exit — your company gets acquired or goes public, and their shares convert to cash. Since nobody knows the future, they estimate exit value with a shorthand: revenue × multiple. The multiple reflects what acquirers pay for companies like yours. Slow-growth service businesses fetch 1-2x revenue; healthy SaaS and marketplace companies historically trade at 4-10x; exceptional ones higher. Using 4x as your base case is deliberately conservative — defensible in any room.
Now connect it to what your investor actually said: "If I invest ten dollars, I expect to make at least thirty." That's a 3x return expectation, and here's why it's the floor and not greed: venture investors expect most of their portfolio to fail. If they make ten investments and seven die, the three winners must return enough to carry the dead weight and still beat the stock market. A 3x base case with credible 7x+ upside is precisely the profile that makes the math work for them. Your base case lands at 3.9x — above their floor, on conservative assumptions. That's the slide they asked for.
The strongest way to present this is the scenario table, not a single number. One projection invites skepticism; three scenarios invite a conversation about assumptions. And the live calculator in your visualizer makes it tactile — hand an investor the sliders and let them build their own scenario. People trust numbers more when they did the dragging themselves.
"We're raising $250K on a post-money SAFE at a $1.75M cap — about 14% of the company. The model runs at 88% gross margin with a tiered, client-side fee structure, and because our costs are lean — engineering on deferred equity, overhead near zero — we hit EBITDA-positive in Year 3 with this raise covering our burn twice over. Unit economics clear every benchmark: sub-3-month CAC payback, LTV-to-CAC above 18x on our most conservative segment. At a 4x revenue multiple on our Year 5 base case, this investment returns 3.9x — north of 8x in the upside scenario. And we're the only platform where a client books an entire production team in one transaction."
Read that paragraph aloud — both of you, separately, until it stops feeling like a script and starts feeling like something you'd just say. Then practice the interruptions, because real investor conversations are nothing but interruptions: "Wait — why 88%?" (Stripe and hosting are your only direct costs.) "How'd you get $35 CAC?" (Geo-dense launch market, referral-heavy acquisition, marketing as the dominant spend.) "Why should I believe Year 5?" (You shouldn't believe any single number — here are three scenarios and the assumptions behind each; drag the sliders yourself.)
Notice what the story does structurally: it moves from the deal (SAFE, cap, ownership) to the machine (margin, costs, breakeven) to the proof (unit economics) to the payoff (return multiples) to the moat (LaunchDeck). That's the exact order an investor's brain wants information. Deal terms answer "what am I buying?" The machine answers "does this thing work?" Unit economics answer "will it keep working at scale?" The return answers "what's in it for me?" And the moat answers "why won't someone bigger crush you?"
Last thing, and it matters most: the investor who gave you the harshest feedback — the one scared of your flat-fee model — gave you the gift of this entire rebuild. The founders who win aren't the ones with perfect first models; they're the ones who metabolize hard feedback in 48 hours and show up to the follow-up meeting with the exact analysis that was missing. That's what you're walking in with. Go get it.