AI-powered, human-curated local weekend media — one operator, N cities. Pittsburgh is the proof. The area-code namespace is the network.
Every GetOut city runs on the same AI-native pipeline. Each is a locally-branded, independently-hosted edition with city-specific curation, color, and voice.
The origin city and proof-of-concept. Black and gold heritage editorial style. First newsletter sent, subscriber list growing, full pipeline running nightly.
Guardians navy and red. Great Lakes energy. Metroparks, the Flats, Cedar Point region. Cloned from Pittsburgh in days, not months — the machine proving its scale thesis.
OSU scarlet. Short North arts scene, Cbus food culture, Hocking Hills daytrips. Third city in the network — shipped concurrently with Cleveland on the same infrastructure.
The GetOut pipeline collapses the labor cost of curated local media to under one hour per week per city — without automating away the human judgment that makes it worth reading.
Nightly multi-source pull: Ticketmaster API, Google Calendar feeds, local venue iCal endpoints, TMDB film data, Humanitix event listings. Deduplication, normalization, confidence scoring.
Claude AI scores each candidate 0–100 against the operator's documented taste using past picks as few-shot context. Suggests vibes, daypart, and best-bet flag. Pre-sorts the curation queue.
The operator reviews a pre-sorted, AI-scored queue and selects 8–12 picks. Best Bets and editorial blurbs are written by hand — this is the trust layer and the product's competitive moat. Zero-date-error policy.
On operator approval: newsletter sends via Resend, static site rebuilds (~1,500 pages), calendar feed updates. Full city presence maintained with one click. No CMS. No agencies. No headcount.
The area-code domain system is the moat. Every target metro has a matching [area-code]do.com domain owned and reserved. Clone speed means the pattern is provable at scale before anyone notices.
All domains are owned. Expansion order is governed by TAM, whitespace, tourism index, and cluster synergy — not by date. No launch dates are promised; the Ohio Valley cluster (513/317/502) may ship as a batch ahead of the top-ranked individual markets. City 4 is gated on Pittsburgh reaching its Day-90 audience threshold and at least one existing city reaching a repeatable growth loop.
The GetOut model is built on scarcity by design. One sponsor per city per newsletter — no banner blindness, no competing voices, no programmatic noise.
Sponsor a City
GetOut Weekly is an early-stage media infrastructure company. We are in Phase 1 — building audience. The model is designed for honest, phased revenue with hard go/no-go gates between stages.
Phase Model
| Phase | Name | Revenue Model | Gate to Advance |
|---|---|---|---|
| 1 | AudienceCurrent | Affiliate ticket links; zero marginal cost | Day-90: 500 subscribers · 40%+ open rate. Kill criteria: <300 subs or <30% opens with consistent weekly publishing. |
| 2 | Sponsorship | $150–$500 per newsletter send; one sponsor slot per issue; quarterly lockout contracts | 2,000 subscribers + first paid sponsor signed |
| 3 | Network | 10 cities × $2–8K/month; network buy packages across all cities; pipeline licensing to local publishers and tourism boards | City 2 or 3 at ≤2 hrs/week founder time; repeatable acquisition loop proven |
Structural Moats
Fastlane CENTS Analysis
Baseline composite: 32/50 · Achievable path documented: 40/50 with namespace lock, taste dataset compounding, venue-direct revenue rails, and quarterly sponsor contracts. Full analysis: internal CENTS framework (Fastlane discipline; Unscripted, MJ DeMarco).
"AI ingestion collapses the labor cost of curated local media to ~1 hr/week/city, making a one-person, multi-city 'worth the drive' events network viable. Pittsburgh is the proof; the [area-code]do pattern is the network."
— GetOut Weekly Business Model Doc · July 2026
We are an early-stage business building in public. If the thesis resonates — the cost structure, the moat stack, the namespace play — reach out directly. No deck required to start a conversation.