Aviv Green — Product Designer & Builder

I design and ship
products — end to end.

Architect and 3D-visualization background, now designing and building software. I take an idea from a blank screen to a live, iterated product — the product thinking, the interface, and the build. Below: two trading-training products I designed and shipped solo, AI-augmented.

Two products, designed and shipped solo.

I build and trade markets, and noticed every trading course teaches theory but never lets you practice the decision. So I designed two simulators that train the two hardest moments of a trade — one codebase, two audiences, both live.

Cut It RISK 1% · FTMO

Price hit your stop. CUT NOW →

● Exit discipline · B2C + prop-firm B2B

Cut It

A simulator that trains traders to honor their stop-loss in real time.

Problem

~90% of traders fail prop-firm challenges (FTMO & co.) — and the firms can't tell if it's bad strategy or bad psychology. Traders know the rule "cut your losses" — they just can't execute it when money's on the line.

Insight & design

You can't learn discipline by reading — only by repping the decision under pressure. I designed a candle-by-candle replay on real historical charts where the only choice that matters is when you cut, with risk declared up front like a real risk desk.

Built & iterated

Shipped the full loop — interactive charting, scoring on hesitation, a shareable score. Rebuilt the entire mobile layout to be chart-first and one-screen after testing on my own phone; reworked the risk model from user feedback.

Status

Live, in demand-testing with early users, with a B2B angle: turn discipline into a behavioral score prop firms can screen on.

Next.jsReactTypeScript Lightweight ChartsZustandSupabase

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The Pivot CUP & HANDLE

Tap the breakout. +0.4% from pivot ✓

● Entry timing · Retail

The Pivot

A simulator that trains when to buy a breakout, on real historical bases.

Problem

Swing traders learn chart patterns from books, then freeze or chase in the live moment. There was no rep machine for entry timing — every course is passive reading.

Insight & design

Named for Livermore's "pivotal point." You study a real base, then tap the chart to buy — scored on how close to the ideal pivot you entered. One-tap core loop so the skill, not the UI, is the friction.

Built & iterated

Designed a TradingView-style charting UI with touch entry and dragging, a results scorecard with shareable cards, and a didactic onboarding after a friend said he "didn't get what a pivot is." Recolored and rebuilt the read for clarity on mobile.

Status

Live with a freemium ladder (free intro rounds → daily allowance → premium), bundled with Cut It on one account.

Next.jsReactTypeScript Lightweight ChartsDrizzlePostgres

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A few decisions, not just deliverables.

The work that doesn't show up in a screenshot — the calls that made the products usable.

Risk as a session decision, not a slider

Players lock their risk-per-trade before the round — mirroring how a real prop trader declares max loss to a risk desk. It made the training cohere with the actual business it serves.

Chart-first, one screen, no scroll

Traders want to see the chart. I moved every control into the thumb zone, collapsed the rest, and killed mobile scrolling entirely — the chart owns the screen.

Make the abstract concept tangible

When a test user didn't grasp "pivot," I added a didactic, illustrated onboarding instead of more copy — meeting people who don't already speak the jargon.

One codebase, two audiences

Cut It and The Pivot share one backend but never visibly merge — a B2C trader audience, a B2B prop-firm pitch, and two distinct trading styles each need their own front door.

Designed and shipped, AI-augmented.

I'm not a designer who hands off a Figma file, and not an engineer who needs a spec. I do the part that's getting scarcer: product judgment, design taste, and driving something all the way to shipped — then improving it from real use.

Code is increasingly accelerated by AI, and I lean into that hard. It lets me move from idea to a live, iterating product in days. What I bring is the decisions: what to build, how it should feel, and what to cut.

My background is architecture and 3D visualization — years of translating fuzzy client intent into something precise, buildable, and beautiful. That's the same muscle, pointed at software.

Frame the real problemWhat's the user actually trying to do?

Design the decisionFlows & interface around the core moment

Build & shipLive in production, AI-accelerated

Iterate from real useWatch, learn, cut, refine