ReallySolved · Deck appendix
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Deck appendix · for the financial reader

The forecast, line by line.

Page 15 of the deck gives the headline: the margin, and what flows to you. This page is the arithmetic under it, with every row marked measured or our estimate, because the difference matters more than either number.

3 revenue streams are EXCLUDED from every figure on this page.

The AI labs pay people by the hour to correct AI answers. Ours come free, as a by-product.

Priced per item, middle case, in full: worth ~$985 a year for each paying member (5 👍 or 👎 a day out of about 15 searches, at 30¢ each, plus a written correction every 2 to 3 days at $3 each). Members are paid 50% of it when it earns money. The market we sell into is ~$2-7 Billion/yr today.

All 4 are built into the product. Not a cent of any of them appears in sections 1 to 5 below. The model stands on subscriptions alone, so every number there is a floor.

1 · What 1 subscriber is worth measured*

PlanPrice / moAI costCard feesProfit / moProfit / yrMargin after fees
$5/mo Certainizer™$5.00$0.53$0.45$4.02$48.2480%
$9/mo Plus$9.00$0.75$0.56$7.69$92.2885%
$19/mo Pro$19.00$0.75$0.85$17.40$208.8092%

Card fees at the real published rate, 2.9% + 30¢ a charge. Certainizer is the thinnest, because the fixed 30¢ card fee weighs most on the smallest price. Plus & Pro are protected by the 1,000-search monthly fair-use cap already promised in our own marketing.

🤔 Why is the cost-to-win-a-subscriber row identical across all 3 plans? That's on purpose, not a mistake. It is the cost of running someone through the same free trial, before they have picked a plan. One trial can turn into any of the 3 paying plans, so that up-front cost doesn't change based on which one they end up choosing. It also assumes the same "1 in 10 trial users convert" rate for all 3 plans, which is a simplifying assumption: the real rate will likely differ once we have live signups to measure.
⚡ Just got cheaper: we added a new free AI option this week that dropped the Certainizer's cost even further, and the margin on the deck already includes it. The "cost to win a subscriber" figure only counts AI costs. We haven't spent anything on ads yet, so that number will rise once we do, but the underlying margin story holds either way.

2 · How many accounts pay our estimate

Main case: 1 in 10 accounts pays. So 10,000 paying members means about 100,000 accounts (200,000 if 1 in 20 pay, 50,000 if 1 in 5 do): about 4,545 on Certainizer, 3,636 on Plus & 1,818 on Pro, in the same 25 : 20 : 10 ratio. This split is the single biggest assumption in the model, far bigger than any cost figure. Substitute your own & everything below recalculates.

The growth path, plainly: 1,000 paying members + 5 companies, then 10,000 + 20 companies, then 100,000 + 100 companies, then 1,000,000 + 500 companies. Every table below uses these 4 sizes. The growth rate is the assumption; everything else is arithmetic.

3 · Profit & loss

Per year1K paying + 5 companies
10K accounts
10K paying + 20 companies
100K accounts
100K paying + 100 companies
1M accounts
1M paying + 500 companies
10M accounts
$5/mo Certainizer™$21,927$219,273$2,192,727$21,927,273
$9/mo Plus$33,556$335,564$3,355,636$33,556,364
$19/mo Pro$37,964$379,636$3,796,364$37,963,636
$299/mo Companyup to 15 people each$16,727$66,907$334,535$1,672,675
Gross profit, subscriptions$110,174$1,001,380$9,679,262$95,119,948
Hosting & infrastructureest($14,400)($60,000)($300,000)($3,000,000)
Support & moderationthe advisor bot is trained to handle most of itest($9,600)($36,000)($300,000)($3,000,000)
Legal, tools, servicesest($9,600)($24,000)($120,000)($1,200,000)
Core teamthe product is built; the growth team is paid from the payback pool, not salaryest$0$0($960,000)($9,600,000)
OPERATING PROFIT / YEAR$76,574$881,380$7,999,262$78,319,948
   same figure, per month$6,381$73,448$666,605$6,526,662

About $480K a year at about 6,000 paying members (about 60,000 accounts). Costs at 10M accounts are our estimate: 10 times the 1M-account costs.

4 · What flows to you

1K paying + 5 companies10K paying + 20 companies100K paying + 100 companies1M paying + 500 companies
To GTM, a year at that size$76,574$881,380$7,999,262$78,319,948

These approximate numbers assume you are able to ramp up very quickly. Each column is a full year at that size, straight off section 3’s bottom line.

The term, plainly: 100% of net revenue goes to you until you have recouped 3x your cost basis, then equity on top. Not a share of it, all of it. Divide your own investment into the year-1 column. We are not going to guess what this costs you to run, you know your cost base & we do not.

5 · Why our costs fall while everyone else's rise

We carry no AI capex. While the market re-prices AI infrastructure debt to record highs over data-center spending, our AI cost is $0.53 to $0.75 per subscriber per month & falling. If the AI capex cycle cools, our inputs get cheaper: there is no data-center bill on our side of it.
The same is happening to our other input. Web search, the second big per-query cost in this category, still costs $5 to $14 per 1,000 queries from the established providers. A new entrant now sells it at $0.05. Grounding an answer in live web results was priced out of a $5 subscription. It is now a rounding error.

* Tested, not guessed. The per-subscriber costs above come from real test runs, re-measured on 12 September 2026. At the moment of writing the site has not launched & a few of the AI engines are not connected yet, so treat these figures as theoretical until live traffic confirms them. Per-subscriber economics are measured. How many users arrive, & how they split across plans, is our estimate, labelled as such on every row.

6 · What the AI-lab line could be worth, by audience size our estimate

Built the same bottom-up way as the rest of this page: real people, real items, a price per item, never a slice of a market. This is the AI-lab data line, worked out on its own & kept entirely separate from the subscription floor above.

1K paying members10K paying members100K paying members1M paying members
To GTM, a year at that size, middle case, in full$985,500$9,855,000$98,550,000$985,500,000
Low case$401,500$4,015,000$40,150,000$401,500,000
High case$2,080,500$20,805,000$208,050,000$2,080,500,000

The middle case, & what it assumes: each paying member averages 5 👍 or 👎 a day out of about 15 searches, sold at 30¢ each, the middle of the 10¢ to 50¢ a lab pays for a quick rating, plus a written correction every 2 to 3 days (~146 a year), sold at $3 each, the published middle for an expert correction (the range is $1.50 to $8+). Some members will do none & some a lot; this is the average. That is ~$985 a year per paying member, assuming every rating & correction sells. Free accounts are not counted. Shown in full. Members are paid 50% of it when it earns money. Low case: the same activity at 10¢ a rating & $1.50 a correction. High case: at 50¢ & $8. Checked a second way, from the low end of Scale AI's own numbers: Scale reportedly makes about $2B a year from human correction work, ~45% of which goes to its ~240,000 contractors, about $3,750 a year each, against our ~$985 a year per paying member. These approximate numbers assume you are able to ramp up very quickly. Each column is a full year at that size, same as section 4.

This line is entirely separate from, & never counted inside, the subscription floor above. It is real, sourced upside, not a number the business plan depends on.