100 apps.
£1/day each.
One backoffice.
The MS26 fleet strategy: 100 AI-native apps generating passive revenue through content, ads, and affiliate — automated daily, operated by one human.
£1 per app per day.
Blended from display ads, affiliate commissions, and subscriptions. Compounding as content grows. Not a moonshot — a daily automation problem.
| Scenario | Apps | Per app/day | Daily | Annual |
|---|---|---|---|---|
| Conservative | 50 | £0.50 | £25 | £9,125 |
| Base | 100 | £1.00 | £100 | £36,500 |
| Stretch | 100 | £2.00 | £200 | £73,000 |
The flywheel.
Five daily automation workflows, one per BO pipeline. When all five run every day across all sites, organic traffic compounds. Revenue follows traffic.
Auto-generate one new content page per site — fresh SEO signal, compounding traffic.
One new top-100 list per mslists site — the core content format that drives organic search.
Hero + social images per new piece of content. AI-generated via Flux / Runware / SDXL.
TTS summary per new page — drives podcast SEO and accessibility.
24s short-form + 4min explainer per top content piece. AI video via Seedance / Runway.
Five revenue streams per app.
Display ads — auto-placed, low friction, compounding with traffic.
In-content product links. Highest yield on list / travel / lifestyle content.
Per-booking commission. 13 travel sites = natural fit.
Premium content tier behind paywall. Planned for top-traffic sites.
Capture → nurture → offer. The highest-leverage revenue lever not yet wired.
The fleet.
23 sites live across four groups — mscore, mslists, mstravel, and AI-native. Each in its own GitHub repo. Each deployed independently on Vercel. One backoffice (BO) runs them all.
Fashion · Personal · Sport
Top 100 list sites
Travel + destination guides
AI-first apps
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