Independent software builder

I build the trading tools I use at my own desk.

Market analysis, journaling and mobile apps for active options and futures traders. Each one starts as something I need, gets tested on real sessions, and ships when it holds up.

See the projects dugrilab.com ↗

Gamma by strike SPX · net GEX

Illustration of the kind of view DugriLab draws. Not live data.

Work

What I'm building

Four projects, one stack. Two are open to the public today.

Waitlist open dugrilab.com

DugriLab

A market analysis desk built around where option dealers are positioned.

Gamma levels, options flow, a daily plan and a full charting workspace in one app. It reads the options chain, maps dealer exposure by strike, and turns that into levels you can trade against on SPX and /ES.

PythonFastAPIMongoDBEChartsWebSocketsDocker

Join the waitlist ↗

DaybookDay plan, regime monitor and session control

GammaLabDealer positioning boards and strike maps

FlowLensOptions tape, clusters, big trades, alerts

Market ResearchSector rotation, scanners, stock and earnings work

Dugri SuiteIndicator pack and futures footprint tools

StrategyAlert rules, strategy builder and backtests

SandBoxPaper trading, options calculator, replay

Live note500.com

note500

A trading journal that reviews your trades with you.

Brokerage sync and multi-broker file import
Scheduled AI trade reviews, calendar, equity curve and P&L goals
Up to five portfolios per account, prop-account tracking
Bring your own AI: an MCP server reads your journal, read-only

FastAPIMongoDBStripeSnapTradeClaude APIMCP

Visit note500 ↗

In development Android · iOS

DugriLab Go

The desk in your pocket, written natively.

Swipeable day pages: overview, gamma, zones, flows, hedging, expected move
Native chart engine with server-computed indicators
Push alerts for the same rules the desktop app runs

Kotlin MultiplatformJetpack ComposeSwiftUIFCM

In development MCP · REST

DugriLab API

Ask your own AI about the market, with real levels behind the answer.

An MCP server that gives Claude and other assistants read access to gamma levels, the dealer map, flow, expected moves and the day's risk envelope. Tools return structured data, so the model explains the numbers instead of guessing them.

Model Context ProtocolPythonJSON schemas

Approach

How the work gets made

Used before it's sold

Every screen runs on my own trading day first. If I stop opening it, it doesn't ship.

Measured, not promised

A signal gets a backtest before it gets a button. Most ideas don't survive that, and they stay out of the product.

Built to be tested

Twenty years in software and automation taught me to ship with the checks attached. The apps carry their own test suites and fail loudly.

About

Engineer, investor, founder.

I hold a B.Sc. in Electrical Engineering from Bar-Ilan University in Israel, and I've spent the last 20 years in software development and automation, building and testing systems where reliability mattered.

I'm an investor and an entrepreneur, and I follow AI closely. I put it to work wherever it makes a tool genuinely better. In 2025 I founded note500, a trading journal for active traders. In 2026 I founded DugriLab, a market analysis platform built around options positioning.

I design, build, test and deploy everything here myself: Python services, browser front ends, native mobile, and the Linux servers they run on.

2026Founded DugriLabMarket analysis platform; waitlist open at dugrilab.com
2026DugriLab GoNative mobile app, in development
2025Founded note500Trading journal SaaS with paid tiers
2021IndependentTrading systems, investing and software, full time
20 yearsSoftware development and automationBuilding and testing systems at scale
EducationB.Sc. Electrical EngineeringBar-Ilan University, Israel

Contact

Talk shop, or ask about a project.

dan@note500.com