How Do You Value a Pre-Revenue Startup With a Working Product?
We went through a potential acquisition process with an acquirer recently that we thought would be helpful to document for other founders.
Valuing a business that has real tech but no revenue yet is one of the hardest problems in early-stage investing and M&A.
There's no ARR to slap a multiple on. Cohorts, churn, CAC/LTV… none of that exists yet. And yet, real value has been created: a working product, an engineering team that actually shipped something, early design partners, maybe even a pipeline.
A useful way to get to a defensible number is to triangulate between three anchors:
- Replacement Cost New – what it would cost to rebuild this from scratch.
- Strategic Revenue Synergies – what a buyer could earn by plugging this product into their existing distribution.
- Market Comparables – how similar companies are being valued.
flowchart TD subgraph Triangulation["Triangulated Valuation"] RCN["🔧 Replacement Cost New<br/><i>The rational floor</i>"] SYN["📈 Strategic Revenue Synergies<br/><i>Value in buyer's distribution</i>"] COMP["📊 Market Comparables<br/><i>Reality check</i>"] end RCN --> VAL["💰 Defensible<br/>Valuation Range"] SYN --> VAL COMP --> VAL style RCN fill:#e1f5fe style SYN fill:#e8f5e9 style COMP fill:#fff3e0 style VAL fill:#f3e5f5
Let's walk through that framework, step by step, for a pre-revenue company with a working product.
1. Replacement Cost New: "What Would It Cost Me to Rebuild This?"
The first anchor is Replacement Cost New (RCN) — the all-in cost for a capable team to recreate the product and reach the same level of maturity.
Think of it as the rational floor for any negotiation: why would a buyer pay less than it would cost them to build the same thing themselves?
How to estimate RCN
flowchart LR A["1️⃣ Define Scope"] --> B["2️⃣ Estimate FTEs<br/>& Timeline"] B --> C["3️⃣ Apply Loaded<br/>Cost per FTE"] C --> D["4️⃣ Compute Hard<br/>Build Cost"] D --> E["5️⃣ Apply Risk<br/>Premium"] E --> F["📍 RCN<br/>Baseline"] style F fill:#e1f5fe,stroke:#0288d1
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Define the scope of what's been built
- Is it a basic MVP or a hardened production system?
- Are there complex components (e.g., ML models, agentic workflows, integrations, security/compliance work)?
- Are there intangible assets: domain expertise, data pipelines, UX polish, documentation?
-
Estimate the FTEs and timeline to rebuild
Work backwards from scope:
- How many FTEs (full-time equivalents) would a senior, competent team need?
- How long would it take them to get to feature parity and similar reliability?
Example (for a complex AI/agentic/RAG-style product):
- 10–12 senior engineers and technical staff
- 24–30 months to reach parity
-
Apply realistic loaded cost per FTE-year
Take:
- Market salary for the roles
- Add benefits, taxes, overhead (often 25–35% of wages)
Example:
- Base: $200,000 per FTE-year
- Loaded factor: 1.3×
- Loaded cost per FTE-year ≈ $260,000
-
Compute the hard build cost
Using the example numbers:
- FTE-years = 12 FTEs × 2.5 years = 30 FTE-years
- Hard people-cost = 30 × $260,000 ≈ $7.8M
-
Apply a time-to-market / execution-risk premium
A buyer isn't just buying code. They're buying:
- Time saved (getting to market years earlier)
- Reduced execution risk
- Reduced hiring, coordination, and failure risk
It's common to apply a 1.3×–2.0× premium depending on risk and urgency.
Continuing the example:
- Hard cost ≈ $7.8M
- Premium factor: 1.5×
- RCN ≈ $11.7M
flowchart TD subgraph calc["RCN Calculation Example"] FTE["12 FTEs × 2.5 years<br/>= 30 FTE-years"] COST["30 × $260K<br/>= $7.8M hard cost"] PREM["$7.8M × 1.5 premium<br/>= <b>$11.7M RCN</b>"] end FTE --> COST --> PREM style PREM fill:#c8e6c9,stroke:#388e3c
This gives you a baseline value: if the acquisition price is dramatically lower than RCN, a savvy founder is probably under-selling; if it's dramatically higher without a strategic story, a disciplined buyer will struggle to justify it.
2. Strategic Revenue Synergies: "What Is This Worth In My Distribution?"
The second anchor is what a strategic buyer can do with the product that the startup cannot — yet.
If a buyer already has:
- Thousands of existing customers
- A sales and customer success organization
- Strong brand and trust
…then plugging a differentiated product into that machine can be incredibly valuable.
The synergy valuation workflow
Here's a simple, transparent way to estimate revenue synergies:
flowchart TD A["1️⃣ Define Eligible<br/>Customer Base"] --> B["2️⃣ Model Adoption<br/>Ramp"] B --> C["3️⃣ Estimate Unit<br/>Economics"] C --> D["4️⃣ Build 5-Year<br/>GP Forecast"] D --> E["5️⃣ Discount to<br/>Present Value"] E --> F["6️⃣ Apply Seller<br/>Share %"] F --> G["📍 Synergy<br/>Premium"] style G fill:#e8f5e9,stroke:#43a047
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Define the eligible customer base
- Total customers of the buyer
- Subset where this product is actually relevant
Example:
- 10,000 total customers
- 25% are a good fit → 2,500 eligible customers
-
Model an adoption ramp
Adoption never jumps to 100% on day one.
Example:
- 15% of eligible customers adopt per year for 5 years
- Nominally that's 75% by Year 5
- Apply a 20% haircut for execution risk → net ~60% of eligible customers over 5 years
So you might end up with something like 300 net new sites per year over a 5-year window.
-
Estimate unit economics
For each adopting customer:
- Price the add-on (e.g., $18K ARR per site)
- Estimate gross margin (e.g., 70–80% for software/AI products)
Example:
- ARR per site: $18,000
- Gross margin: 75%
- Gross profit per site per year: ≈ $13,500
-
Build the 5-year gross profit forecast
For each year:
- New sites added × GP per site
- Sum GP over 5 years
This will give you a gross profit stream like:
- Year 1: 300 sites × $13.5K
- Year 2: 600 sites × $13.5K
- … and so on, assuming renewals and no churn for simplicity.
xychart-beta title "Cumulative Sites & Gross Profit Over 5 Years" x-axis [Y1, Y2, Y3, Y4, Y5] y-axis "Sites / GP ($M)" 0 --> 20 bar [4.05, 8.1, 12.15, 16.2, 20.25] line [3, 6, 9, 12, 15]
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Discount to present value
Choose a discount rate that reflects the buyer's cost of capital and risk (often 8–12% in these models).
- Discount each year's gross profit back to today
- Sum to get NPV of synergy gross profit
In practice, for assumptions like the above, it's easy to end up with tens of millions of dollars in NPV synergies.
-
Decide how much of the synergy to share with the seller
The buyer usually does not hand over 100% of synergies. They need upside for their shareholders too.
It's common in strategic M&A for the seller to capture 20–40% of the synergies in the purchase price, depending on negotiation leverage, competition, and how unique the asset is.
Example:
- 5-year NPV of synergies: $60M+
- Seller share: 30%
- Synergy premium in price: ≈ $18M
pie showData title "Synergy Value Split Example" "Buyer Retains (70%)" : 42 "Seller Captures (30%)" : 18
This synergy premium is an add-on to the RCN baseline.
3. Market Comparables: "What Is the Market Paying for Similar Stories?"
The third anchor is market comps: how similar companies are being valued in the current environment.
For a pre-revenue startup with a working product, comps might include:
- Early-stage deals in the same vertical (e.g., AI tools for a specific industry)
- Startups with similar architecture or tech complexity (e.g., agentic workflows, RAG systems, specialized ML)
- Fundraises or acquisitions at:
- Concept/MVP stage (lower valuation)
- Working-product/early-customer stage (higher valuation)
flowchart LR subgraph comps["Finding Relevant Comparables"] V["🏢 Same Vertical"] T["⚙️ Similar Tech<br/>Complexity"] S["📍 Same Stage<br/>(MVP vs. Product)"] end V --> M["Market<br/>Valuation Range"] T --> M S --> M style M fill:#fff3e0,stroke:#f57c00
What you're really looking for:
- Valuation ranges for:
- Comparable team quality
- Comparable product maturity
- Comparable strategic relevance
- How investors are thinking:
- Pre-revenue but strong team → often team-quality driven
- Early pilots or LOIs → some "pipeline-weighted" expectation
You don't want comps to drive the valuation alone, but they're excellent sanity checks:
- If RCN + synergy calculations suggest $30M and comps say similar companies sold for $5–10M, you need to ask why.
- If comps are at $40–50M and your RCN + synergies suggest $25–30M, maybe you're being too conservative — or maybe the market is overheated.
4. Pulling It All Together: A Triangulated Valuation Range
Once you've done the work, you'll usually end up with three numbers:
- RCN – an economically rational floor (e.g., $10–12M).
- RCN + a share of synergies – a strategic "justifiable" price for a motivated buyer (e.g., $25–35M).
- Market comps – a reality check (e.g., deals at $15–30M).
flowchart TD subgraph inputs["Three Valuation Anchors"] RCN["🔧 RCN Baseline<br/><b>$10–12M</b><br/><i>Rational floor</i>"] SYN["📈 RCN + Synergies<br/><b>$25–35M</b><br/><i>Strategic value</i>"] COMP["📊 Market Comps<br/><b>$15–30M</b><br/><i>Reality check</i>"] end RCN --> RANGE SYN --> RANGE COMP --> RANGE RANGE["💰 <b>Final Range: $20–30M</b><br/>Strong strategic case at upper end"] style RCN fill:#e1f5fe style SYN fill:#e8f5e9 style COMP fill:#fff3e0 style RANGE fill:#f3e5f5,stroke:#7b1fa2
You can then articulate a valuation range such as:
"Given the cost to rebuild, the revenue synergies in our distribution, and where comparable companies are trading, a fair value range is $X–Y, with a strong strategic case at the upper end for the right buyer."
For founders, this helps justify the ask.
For buyers, it helps build an investment memo and answer: "Why this price, and why now?"
5. Practical Tips for Founders and Buyers
For founders
mindmap root((Founder<br/>Checklist)) Document Build Cost FTE count Timeline Architecture complexity Regulatory hurdles Highlight Strategic Fit Cross-sell potential ARPU expansion Competitive defense Show Traction Pilots LOIs POC results Design partners
-
Document your build cost story
Have a clear narrative around:- How many FTEs
- How long it took
- The complexity of the architecture
- Technical and regulatory hurdles overcome
-
Highlight strategic fit
Spell out how a buyer could:- Cross-sell to their base
- Expand ARPU
- Defend against competitors
-
Show traction, even if it's not revenue
Pilots, letters of intent, proof-of-concept results, testimonials, and engaged design partners all reduce perceived risk.
For buyers
mindmap root((Buyer<br/>Discipline)) Conservative Modeling Haircut adoption rates Question eligibility Delay synergy timing Respect RCN Floor Below RCN needs justification Technical debt Team misalignment Use Ranges Show low/mid/high Explain assumptions Build IC confidence
-
Be conservative in synergy modeling
Use haircuts on:- Adoption rates
- Eligibility assumptions
- Timing (synergies often show up slower than expected)
-
Respect the RCN floor
If you try to price below what it would cost you to build, you should have a very clear reason (e.g., major technical debt, misaligned team, or strategic misfit). -
Use ranges, not single numbers
Your IC will be more comfortable with:"We estimate fair value between $A and $B, and are proposing $C given [specific assumptions]."
Closing Thoughts
Pre-revenue doesn't mean "pre-value."
A startup with a working product has already cleared big hurdles: shipping, iterating, proving technical feasibility, and often demonstrating real user love. The challenge is to translate that into a number that both buyer and seller can defend.
Using a triangulated framework — Replacement Cost New, strategic revenue synergies, and market comparables — gives you a structured, transparent way to do exactly that.
flowchart LR A["🚀 Working<br/>Product"] --> B["📐 Triangulated<br/>Framework"] B --> C["💰 Defensible<br/>Valuation"] style A fill:#e3f2fd style B fill:#fff8e1 style C fill:#e8f5e9