The next 12 months,
counted bottom-up.
Three models — subscriptions, ads-only, and combined — every adoption number held to a tiny fraction of a real, published market size. Then a calculator: what each 1% of each product costs, and what it pays back if the base case holds.
Real markets, small targets
Every adoption figure below is a fraction of one percent of a published market size — that is what keeps this model defensible.
Geography note — DevProFlow is a US-based product studio (Aurora, Colorado) with production infrastructure hosted in France (EU). The SEA anchors above reflect client deployments — NutriGo serves a client market in the region’s largest economy — a proven TAM floor, not the ceiling. Go-to-market runs global, EU + SEA first: English-led distribution, PayPal rails, participation terms in 13 languages. Wider uptake is upside the base case deliberately does not count on.
Subscriptions & services only
Paying units × published price. M3/M6/M12 = active paying subscribers or accounts at end of month.
Ads & sponsorship only
Zero subscriptions counted — this is what the audience alone could carry. M3/M6/M12 = net ad revenue per month, direct sponsors where a rate card exists, conservative CPM/CPA elsewhere.
Model B deliberately counts no subscription revenue — it answers “what if users never pay, and only advertisers do?”
Combined base case
Subscriptions + ads on the same audience — the figure the share calculator below is priced against.
products and studio services.
Paid ads underperform; growth carried by the owned stack only at ~60% activation.
Funnel rates hold; marketing budget $300–600/mo; churn 5%/mo; ads ramp with audience.
One product breaks out (MarktBit or the NutriGo dapur network) + owned stack fully activated (extension CTAs, mosque broadcast, B2B outreach).
The dials behind every number
What buys the growth
Two engines: a staged paid plan (~$5.5k year-1, spend follows proof) on top of an owned distribution stack that already exists and costs nothing to run.
Phase 1 — Validate
Creative testing on MarktBit (trading communities) and AuroraToday (local business outreach). Extension-store CTA inventory switched on across the 300+ catalog.
Phase 2 — Scale winners
SEA push: Meta + TikTok for NutriGo (cheap regional CPC ~$0.15–0.40) plus community-partner onboarding.
Phase 3 — Retention & upsell
CRM flows, referral loops, seat expansion inside dapur accounts. Spend shifts from acquisition to LTV.
Honest note: at ~$10 blended CAC and ~$25 B2C lifetime value, paid ads alone are thin — which is why the paid plan is deliberately small. The owned stack above carries the bulk of acquisition (~17 payers/mo combined at steady state) at zero marginal cost, and B2B seats repay spend immediately. The paid budget buys speed on top of that engine, not survival.
What 1% costs, what 1% pays
No fixed tiers — send any amount from $10 per product and it auto-converts to a share % at the entry rate (amount ÷ entry valuation). Entry valuation = base-case month-12 revenue × 18 months. One-time payment — not a monthly obligation.
*Net-modeled at ~75% of projected gross — an operating-cost factor covering servers, licenses, infrastructure and payment fees. Actual distributions are calculated on the reported NET of each period and can be lower, including zero. Per-dollar yield is identical across products by design (~$0.42/mo net per $10 ≈ 1/24 of the entry rate) — what differs is which product’s growth you believe in.
Official intake — recorded in the treasury ledger; still free to walk away before payment.
This is a business partnership — profit and loss are shared. There is no obligation, no countdown, no pressure to join: take a position only if the model and terms make sense to you. Each product counts from its own launch-ready date (month 8 earliest), and its 30% pool closes to new participants once fully allocated — first-come. A pool covers the product’s whole revenue line, including lines opened or recommended under it later. The owner may buy back any participation later — min 10× your amount or its value at the product’s new valuation, whichever is higher.
New products and recommended lines added to the ecosystem later do not use the $10 entry conversion. A co-build entry from $1,200 per new product splits the owner’s 70% — 50:50: 35% of that product’s net distributable revenue to you, 35% retained. You also take an automatic 1% from the 30% shared pool — 36% of net revenue in total, with the remaining 29% open to regular participants. Same rules apply: net-revenue accounting, the product’s own proving clock, shared risk, and the owner buyback right.
Everything on this page is a business projection — a planning model built from published prices, real market sizes and stated assumptions. It is not audited financials, not a promise of returns, and not an offer of securities.
Revenue-share figures are contractual participations in a product’s future revenue, not equity in a company and not a guarantee. Each product runs its own proving/trial clock — revenue counting starts the month after that product is declared launch-ready (month 8 earliest, later if it needs more time). Distributions track actual net revenue after that — revenue received minus operating costs (servers, licenses, infrastructure, payment fees) — which can be lower than any model shown here, including zero. The payout column in the calculator shows the gross-revenue model; actual distributed amounts are net.
The early-entry multiple (18× projected month-12 revenue) is a pricing convention for this round, not a valuation opinion — later rounds may price differently in either direction.
This is shared business risk, stated plainly: profit and loss are borne together. If a product underperforms, its distributions shrink proportionally — including to zero. There is no guaranteed principal and no guaranteed return. Nobody is required or pressured to participate — invest only what you can afford to lose, after your own due diligence.
The owner may buy back any participation at any time and end that relationship — paying the greater of 10× the original amount or the share’s value against the product’s new valuation at that time. Full terms: /invest/terms.
Verified actuals (checkout records, traffic, cost baseline) are what matter for a decision — those are shared in the data room under mutual NDA. Treat this page as the hypothesis the data room is meant to test.
Numbers worth testing?
If the base case holds, early positions reprice from ~18× to the 30–48× MRR range that proven-revenue products trade at — that is the upside an open-share position buys now, before the revenue exists.