Brief
Australian racing media never grew up with its audience. Coverage was either dry form guides written for hardcore punters or gambling-heavy content with no personality. Nothing in the middle for the fans who care about the sport AND the experience around it — the carnival, the fashion, the personalities, the culture.
Racing Life launched in 2025 to fill that gap. The vision: Australia's home for racing — an independent racing media platform where expert previews and live odds sit next to the lifestyle, style, and stories that make racing more than just a bet. Not a tipping service, not a bookmaker, not a news aggregator.
Approach
Racing Life sits at the intersection of two things most racing media keeps separate: racing intelligence and racing culture. The product reflects that on every page.
On the intelligence side: live odds comparison across every major Australian bookmaker, expert race previews and form analysis, lay-of-the-day picks, and entity profiles for every horse, jockey, trainer, and meeting in the database. On the culture side: carnival fashion, race-day style, profiles of the personalities shaping the sport, and editorial that treats racing as a lifestyle vertical instead of a gambling one. The product is built to give fans a reason to show up every day — whether they're backing their selections with sharper odds, getting across the fields before a Saturday card, or working out what to wear to Caulfield.
Technically it's a three-app monorepo: a Next.js frontend (server-rendered, hydrated with TanStack Query for live odds), an Express + Postgres backend with a Bull worker queue and TimescaleDB hypertables for tracking odds movement over time, and a separate Next.js CMS where the editorial team drafts, reviews, and schedules everything with a Tiptap editor. Every racing entity is a first-class citizen in the data model — a horse profile, a race card, and a Lay of the Day editorial post all hydrate from the same Postgres tables.
The signature engineering decision is the content pipeline. AI scales daily previews — but only inside a pipeline that refuses to ship slop:
- A deterministic builder assembles a structured brief from the database (race entrants, recent form, market movements) before any LLM is called
- A stop-slop score quantifies generic AI filler on a per-article basis and surfaces it in the CMS quality dashboard
- A fact-check stage verifies claims against the live database before an article can be approved
- Synthetic author voices keep tone consistent — the "data analyst" voice and the "tipster" voice produce identifiably different copy from the same brief
The result: AI helps the editorial team scale daily output without losing the byline or the brand voice.
Outcome
Racing Life is becoming the daily destination for the modern Australian racing fan — the 25–45 year old who follows racing across social and mobile and wants something smarter and more engaging than a form guide or a betting app. Punters get sharper odds. Carnival fans get the culture. Everyone gets a community to belong to.
The editorial backbone is in. Community features are next. The platform is built to scale with the brand's ambition — and that ambition is large.
