Investor site
The opportunity
Planning is broken on both sides — the problem framed for investors, with the two-sided wedge.
0→1 Venture · Two-sided marketplace · AI-accelerated
One app to plan, book, and run a golf outing.
A two-sided marketplace and mobile app that puts the whole golf-outing loop — find a course, book it, invite the group, collect the money, run the day — into one product. I took it from market research to a clickable prototype, brand system, go-to-market plan, and investor overview — using AI to move at a pace a solo designer couldn’t a year ago.
The problem
Planning a golf outing means stitching together spreadsheets, group texts, Venmo, a handicap app, and phone calls to courses. Meanwhile ~14,000 US golf facilities have perishable tee-sheet inventory they can’t easily fill or get discovered for. The software splits into four silos — charity tools, pricey tournament systems, league apps, and casual scorekeepers — and nobody serves the organizer end to end or connects both sides of the market.
My role
A self-initiated 0→1 venture. I owned it end to end — market research, product strategy and the PRD, the brand system, an interactive prototype, and the go-to-market and investor story — using AI as a force multiplier at every stage.
Approach
Serve four organizers and the course — in one product, with a tailored path through shared infrastructure:
- Casual organizer — the wedge: dead-simple booking, money-split, and a fun live leaderboard.
- Corporate — turnkey, professional, polished, with ROI reporting.
- Charity — maximize net dollars with sponsorship and donor tools (V2 depth).
- Course operator — fill perishable inventory with high-margin events, less admin.
Explore the actual work
The live site is at evnpar.golf; the rest open the real, self-contained screens in a new tab. Investor overview is gated — access code EVNPAR2026.
The product
The whole outing, in one app
Find a course, book it, invite the group, split the money, and run the day — the entire organizer loop in a single mobile product. This is the real, interactive prototype running live, not a flat mockup.
Research at AI speed.
I used AI to compress weeks of market research into days — sizing the market, mapping the four-silo competitive landscape, and pressure-testing the wedge — then grounded every PRD claim in ~25 cited sources.
Prototype the whole loop.
A responsive, clickable prototype routes every persona through setup → marketplace → booking → roster → split-pay → live leaderboard, plus the operator dashboard — built to validate flow, not just screens.
Investor site
Market size
A multi-billion-dollar flow, lightly monetized today — sized and grounded in cited sources.
Investor site
The ask
Raising a $1.5–2M pre-seed, with a clear use-of-funds and supply-first execution plan.
Desktop site
Marketing site
The public-facing site: positioning, hero, and the pitch in a single scroll.
Desktop site
Everything an outing needs
The feature set across organizer, players, and course operator — one product, four personas.
Brand
Brand system
Logo, color, type, voice, and build tokens — the system behind the product, anchored by the hawk.
The work
From a single question to an investable concept, I produced:
- Market research & strategy — market size, the four-silo competitive map, and the monetization model.
- A two-tier PRD — full vision plus a buildable MVP with acceptance criteria and success metrics.
- A brand system — black-led and premium, “Grow the Game,” anchored by the hawk emblem.
- An interactive prototype, GTM plan & investor overview — the package to take it forward.
Reflection
EVNPAR is the clearest proof of how I work now: AI lets one product designer carry an idea from a market-research question all the way to a clickable prototype and an investor story — fast — while judgment decides what to build, what to cut, and where the real wedge is. The tools changed the speed; experience still decides the direction.
How AI accelerated this
Claude was my research analyst, PRD co-writer, and prototyping partner — clustering sources, drafting and stress-testing scope, and generating flow variations. What used to take a team and months, I did solo in weeks — spending the saved time on the calls that mattered: the wedge, the monetization, and the marketplace insight.