Investor Overview - Financial Model

Three years, modelled.

An illustrative 36-month projection of users, revenue, costs and profitability. Every input lives in one editable ASSUMPTIONS block at the top of this file - change a number, refresh, and every chart and table recomputes.

Model assumptions (illustrative, USD): founder-led development - zero dev payroll; the raise funds user acquisition and hosting only · family-led S-curve growth to ~400k users by month 36 · blended ARPU ramping $0.45 → $1.60/user/month as capsules, Sage minutes, subscriptions and sponsored communities mature · COGS ~22% of revenue falling to ~16% (self-hosted ML) · OpEx from $6k/mo (hosting + tools + acquisition) ramping to $150k/mo only as revenue funds support/moderation hires · CapEx as quarterly GPU/infra purchases. Cash view: net = gross profit − OpEx − CapEx.
The Headline

Under $1M to profitability. $8M run-rate by year three.

The J-curve and the revenue ramp on one canvas: the shaded area is cumulative cash (the trough is the entire capital requirement), the line is monthly revenue, and the marker is where the business turns monthly-profitable.

01Growth

Users climbing - family by family

Family-centric network effects: complete families, not individual signups, drive the curve.

02Revenue & Gross Profit

Revenue, COGS and gross profit

Gross margin expands as self-hosted ML and storage economics kick in.

03Cost Structure

OpEx, CapEx and the path to net profit

Quarterly view: operating spend and capital purchases against the net line crossing into profit.

04Cash Position

Cumulative net cash flow

The trough defines the raise; the slope after break-even defines the story.

05Annual Summary

Year by year

06Why Now

What's already de-risked - before a dollar is invested

This is not a deck and a dream. The product below is running today, and three risks that normally consume a seed round have already been retired.

Proven 1 - Execution The platform is built

Capsules, Sage, communities, advertising, three portals - ~220 API routes, end-to-end smoke-tested (180+ automated checks), demo-ready. Seed capital buys growth, not a first build.

Proven 2 - Unit Economics Self-hosted ML runs

Voice cloning, lip-sync, transcription and image moderation run on owned infrastructure today - the 80%+ gross-margin structure is architecture, not aspiration.

Proven 3 - Safety Moat Trust is enforced in code

Server-side age gates, real computer-vision photo scanning, pseudonymous communities, no-DM architecture, funded-only storage promises. Built for where regulation is heading, not retrofitted.

07Milestones to Series A

The three numbers that convert thesis into trajectory

The beta exists to produce evidence, not vanity metrics. These are the proof points an A-round is raised on - each maps to a moat claim made elsewhere in these documents.

Proof 1 - Network Complete-family activation

% of new families reaching 3+ active members in week one. Validates the family-led growth loop - the metric the whole acquisition model stands on.

Proof 2 - Monetization Capsule conversion

Paid capsule rate from ONE milestone channel (e.g. weddings via planner partnerships). Validates pay-to-publish and the B2B acquisition wedge.

Proof 3 - Retention Sage repeat usage

Returning Sage conversations per family per month. Validates the emotional core and the metered-minutes revenue line.

De-risking alongside: production AWS deployment, live payment rails, a clean beta safety record (zero under-18 community entries, zero early capsule unlocks), and the storage trust structure. Storage is offered at up to 10 years today - the 25/50-year tiers launch only once the trust fund exists to guarantee them, keeping long-dated liabilities off the books until they are funded.

08Valuation Trajectory

What this could be worth - 18 months and 3 years out

Computed from the model above (edit the assumptions and these re-price). At 18 months the market prices proof and growth, not revenue; at 3 years it prices ARR, margin and profitability. Multiples reflect current consumer-subscription / applied-AI norms.

18-month pricing assumes the Series A proof points (family activation, capsule conversion, Sage retention) - without them, expect a bridge round at or below the seed cap instead. 3-year pricing applies revenue multiples to exit-month ARR run-rate; the base case is profitable, which supports the upper half of its multiple band.

09The Honest Review

Bull and bear - written by us, not discovered by you

Transparency is the product; it should be the pitch too. Here is the case for and against this investment, stated as plainly as we can make it.

The Bull Case
  • A differentiated wedge - competing with the family WhatsApp group and the shoebox of photos, not with TikTok. Family networks are permanent and self-inviting.
  • Mechanical switching costs - capsules locked for future delivery and Sage legacies make leaving structurally painful, compounding with every family.
  • Safety as tailwind - verified adults, pseudonymous communities, no DMs, ask-don't-watch advertising: positioned where regulation is heading.
  • Founder-led economics - the platform was built without dev payroll, and self-hosted ML keeps gross margins above 80% as revenue scales.
The Bear Case
  • Pre-traction - every number on this page is a model, not a measurement. The beta exists to fix that.
  • Cold start - a family product is worthless to member one until members two-to-eight arrive. The milestone-channel strategy is clever but unproven.
  • Key-person risk - founder-led development is the cost story AND the single point of failure. Mitigation: documented architecture, automated test coverage, and first engineering hire planned post-A.
  • Production gap - the stack runs locally today; AWS deployment and live payment rails are funded by this raise.
  • Trust is existential - one safety failure could end a trust product. That is why safety is enforced in code, capped storage is funded-only, and the beta is invite-only.

If the bear case concerns you more than the bull case excites you, this is not your round - and we would rather know that now. The milestones in section 07 are how we convert the bear case into data, one proof at a time.

Reading The Model High-margin emotional products on near-fixed self-hosted infrastructure: revenue scales, costs mostly don't.