A 15-tab Google Sheets decision system that turns a SaaS success story, founder thread, or product opportunity into source-backed evidence — so you know whether it's worth validating before you spend a year of your life on it.
The headline revenue is real. The path to it usually isn't. By the time you discover the founder had a 50k-subscriber list, a decade of domain expertise, or a distribution channel you can't access — you've already quit your job.
"$40k MRR" gets repeated as fact. The original tweet, the Stripe screenshot, the cohort data — none of it is checked.
Audience, expertise, network, timing, capital, partnerships — the things that actually made it work — get edited out of the retelling.
Once you model CAC, churn, gross margin, and founder load honestly, the "passive SaaS" often pays less than a junior dev salary.
Without pre-committed stop conditions, sunk cost turns a bad bet into a two-year detour.
The kit doesn't give you a case study. It gives you a defensible go / no-go on a specific opportunity, with the evidence trail to back it up.
Log every claim with source, date, evidence class, confidence, and limitation. Separate reported from verified from inferred.
Score pre-existing audience, expertise, network, timing, capital, and partnerships — the things the headline omits.
Rebuild pricing, customers, fees, CAC, gross margin, LTV, payback, churn, and founder load from first principles.
Get a transparent weighted Replication Score, defined stop conditions, and a bounded 30-day validation plan.
Each tab feeds the next. The Final Summary pulls from every other sheet — so the verdict is the math, not a vibe.
Single entry point. Map of every tab, what it produces, and where the final verdict comes from.
Company, claim, market, research period, and the specific question this audit is answering.
Every assertion logged with source, date, evidence class, confidence rating, and known limitations.
Tests completeness, consistency, and verifiability of the reported numbers against public evidence.
Pricing, customers, fees, CAC, gross margin, LTV, and payback — reconstructed from inputs, not assumed.
Estimates opex and cash generation before founder compensation — the number that actually matters.
Models customer loss, replacement burden, and how much of the recurring revenue actually survives.
Workload, market-rate founder pay, true cash generation, hourly return, and runway.
Scores pre-existing audience, expertise, network, timing, capital, partnerships, and other unfair edges.
Acquisition channels, dependencies, accessibility, and how much of the original engine you can copy.
Reconstructs how the business found its earliest customers — the part most "how I built this" posts skip.
Weighted score across every dimension with the math shown — no black-box "AI verdict".
Pre-committed conditions that invalidate the opportunity — defined before emotion takes over.
Converts findings into a specific, time-boxed plan to test the opportunity before committing to build.
Evidence, economics, key risks, recommendation, and next action — all on one screen.
Every tab comes pre-filled with a complete audit of Plausible Analytics — a real, publicly-documented SaaS — using current public evidence. Every data point is tagged by evidence class so you can see exactly how the system works before you run your own.
The kit is structured so you don't have to think about what to do next — each tab tells you what it needs and what it feeds.
Define the company, the claim, the market, and the research period. Lock the question this audit answers.
Pull every assertion from public sources into the Claim Ledger. Tag evidence class and confidence.
Reconstruct unit economics, churn, founder load, hidden advantages, and distribution from the evidence.
Score, define stop conditions, generate a 30-day validation plan, and read the Final Summary verdict.
The kit is opinionated. It assumes you want a defensible answer more than you want encouragement.
Less than a single hour with a fractional CFO — and you keep the framework for every opportunity you evaluate next.
A decision system. The Plausible Analytics demo workbook is included so you can see every tab filled in with real public evidence — but the kit itself is a framework you run on your own opportunity. The output is a Replication Score, defined stop conditions, and a 30-day validation plan — not a story to read.
Basic Sheets competence is enough. Every formula is pre-built. You fill in the inputs (claims, sources, your assumptions) and the outputs calculate automatically. If you can use a spreadsheet at work, you can run this audit.
For a well-documented public opportunity: 4–8 hours across a weekend. For something with thin public evidence: longer, because you'll hit the "unknown" column often — which is itself a useful signal.
The kit handles that explicitly. The Claim Ledger, Hidden Advantages, and Risks tabs all surface "unknown" as a first-class state. A high proportion of unknowns is itself a stop condition — you can't validate what you can't see.
Yes. Make a copy of the workbook for each new opportunity. The framework is yours to reuse indefinitely.
Good. The Replication Score is transparent — every input is visible, every weight is editable. If you think a dimension is weighted wrong, change the weight and re-score. The kit is a structured argument, not an oracle.
Yes. If the kit doesn't give you a more defensible decision than you had before, contact support within 14 days for a full refund.
Audit the story. Expose the hidden advantages. Reconstruct the economics. Decide before you build.
Get the Kit — $59