VisualTOS
Paste any Terms of Service and get a plain-English breakdown of the risks, the gotchas, and what it means for you.
How we got these numbers
Every figure is computed from the inputs below — the same top-down + stated-fraction methodology the product applies, with the arithmetic left visible.
| Step | Formula | Result | Basis |
|---|---|---|---|
| TAM (anchor) | Bottom-up arithmetic (2023) | $200M | Pew Research Center — How Americans View Data Privacy — Bottom-up: Pew finds most Americans skip privacy policies but a privacy-conscious minority does not. ~25M privacy-conscious US adults × ~$8/year willingness for contract-clarity tooling ≈ $200M. |
| SAM (serviceable) | $200M × 5% | $10M | Users who will actively paste a document into a tool — a fraction of those who say they care about terms. |
| SOM (obtainable) | $10M × 1% | $100K | Free-first educational tool with organic acquisition; conversion to paid clarity features, ~3-year horizon. |
| Customer framing | $100K ÷ ($5/mo × 12) | ≈ 1,700 customers | What the obtainable estimate means at the reference price of $5/month. |
Share-of-market framing
What small, plausible shares of the serviceable market translate to in annual revenue.
| Share of SAM | Annual revenue | Vs. obtainable estimate |
|---|---|---|
| 0.1% | $10K | below the $100K SOM estimate |
| 0.5% | $50K | below the $100K SOM estimate |
| 1% | $100K | above the $100K SOM estimate |
Willingness to pay
Curve generated by the product's WTP simulator around the stated price inputs. Model output for orientation — not survey data. Modeled optimal band: $4–$7/mo around the $5/mo reference price.
| Monthly price | Modeled market share | Revenue score |
|---|---|---|
| $2 | 40% | Med |
| $4 | 46% | High |
| $6 | 45% | Med |
| $8 | 39% | Med |
| $11 | 34% | Med |
| $13 | 28% | Med |
| $15 | 23% | Med |
| $17 | 18% | Med |
| $19 | 12% | Med |
Opportunity signals
- AI-era terms changes (training rights, arbitration clauses) are making ToS newsworthy on a recurring basis.
- Visual, educational breakdowns differentiate from ToS;DR's crowd-sourced ratings and raw chatbot answers.
- 'Not legal advice' educational positioning keeps the product honest and shippable.
Risks & pain points
General chatbots answer 'explain these terms' well enough for most users.
People meet scary ToS occasionally, not weekly; retention needs alerts or monitoring features.
Competitive density — Low density
Confidence rubric — 40/100 (Low)
- Base 30: public anchor, no primary research
- +0: single anchor source, not independently corroborated
- +0: anchor figure is from 2023 (dated)
- +10: bottom-up anchor with visible arithmetic
- Capped at 80: educational estimate, not primary research
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More from the portfolio
This analysis of visualtos.com is an educational estimate generated by the PMM-1.0 methodology from the stated inputs above. Anchors are rounded public figures; fractions are explicit judgments with written rationales; the WTP curve is model output, not survey data. Nothing here is audited market research or financial advice. visualtos.com is part of the same founder's portfolio as this product.