The story behind Liquid Byte

An instinct that
became a company.

Liquid Byte LLC was formed in 2026. Its operating record reaches back to 2007; the instinct behind it began earlier, then moved through markets, physical operations, consumer products, and production infrastructure.

A practice learned by making.

Liquid Byte LLC was constituted in Delaware in 2026 to consolidate product development and operations under one company.

The practice was built through self-directed learning: take a real workflow apart, learn what it requires, build the smallest system that can carry it, then keep correcting what reality exposes.

The portfolio includes operating products, private systems, early releases, paused infrastructure, and pre-launch work. Their status is disclosed separately because shipping and validation are not the same event.

The path here

The work kept finding
new places to be useful.

The industries changed. The work did not: understand a real system, encode its judgment, then let reality test the result.

Before finance

The first useful program

After assembling a computer from spare parts, wrote a BASIC program that calculated tile and grout requirements. The instinct was already there: learn the system by making it useful.

Around 2007

From calculation to execution

As an intern, built Excel and Visual Basic automation connected to Mega Bolsa market data, replacing calculator-based options checks with rule-driven order execution.

Following years

Data clients could understand

Built internal portfolio intelligence that turned daily positions into historical wealth reports for clients, then used Bloomberg data and Python to examine equities quantitatively.

2015

Software left the screen

Automated a brick-making machine with Arduino and MATLAB, returned to automated Forex, and released an R-based quantitative dashboard. Software moved between physical operations and markets.

2015–2019

Strategy engineering became a practice

Coded, tested, and refined Forex strategies for traders met through Twitter. Repetition turned other people's theses into executable systems—and led to the partnership behind Elif Capital.

c. 2020–2022

One method, two decision systems

In parallel, the same operating idea took shape in two domains: convert noisy data into decisions that could be tested before action.

Systematic markets

Elif Capital

As sole engineer, built the research, walk-forward validation, phantom-trading, risk, and execution stack. The brand, code, and models were acquired in 2022.

Sports intelligence

Quebrando a Banca

Built the full subscription product across live sports data, machine-learning predictions, authenticated delivery, payments, and subscriber operations. It was later retired.

2023–present

Production engineering at scale

Joined MuscleWiki in 2023 and now leads engineering across frontend, backend, and infrastructure.

2026

Liquid Byte LLC

Established the company as the operating home for a portfolio of focused software products.

A practice, carried forward

Stay close to what matters.

Observe before abstracting

Start with the task, constraints, and existing workaround before choosing a software category.

State before sell

Say what exists, what works, and what remains unvalidated before making the product sound complete.

Operate under reality

Production load, failed assumptions, and user behaviour keep informing the engineering.

Protect boundaries

Ask for what the system needs. Avoid dark patterns, inflated claims, and needless collection.

Inspect the current portfolio.

Explore products