Girart Aubert

Why this persona fits the audience

Software developer living in Lyon, France, who actively trades stocks and manages a small portfolio alongside his full-time job. He currently uses free trading platforms and generic spreadsheets to track performance, expressing frustration with the lack of integrated, simplified financial analysis tools that bridge his coding skills with investment data.

• Age: 36
• Location: Lyon, France
• Occupation: Software Engineer
• Income: €55,000 - €70,000
• Education: Master's Degree in Engineering
• Company size: Mid-sized tech firm (200-500 employees)
• Years in role: 8

“I don't trade to get rich quick; I trade to prove that I can build a system better than the one the market gives me.”

Girart Aubert is a 36-year-old software engineer residing in the historic Croix-Rousse district of Lyon, France. Born into a middle-class family, he developed an early fascination with how systems function, leading him to pursue a Master's degree in Engineering. For the past eight years, he has worked as a backend specialist for a growing fintech startup, where he architects scalable solutions for financial data processing. Despite his success in the corporate world, Girart harbors a deep-seated frustration with the inefficiencies of current retail investing tools. He views his personal portfolio management as a parallel engineering challenge, one that demands precision, automation, and clean data integration. Currently, his workflow is a patchwork of disjointed efforts. He utilizes free trading platforms provided by his brokers, which offer limited analytical capabilities, and supplements this with a complex, self-maintained Excel spreadsheet that he updates manually every evening. This hybrid approach consumes valuable time that could be spent on his true passion: writing efficient code. He has attempted to solve this by building custom Python scripts to scrape and aggregate data, but these scripts are brittle, prone to breaking when broker websites change their layouts, and difficult to visualize. Girart's income, ranging between €55,000 and €70,000, allows him to invest consistently, yet he feels held back by the lack of sophisticated, user-friendly tools that cater to his technical skill set. He is not looking for a guru to tell him what to buy; he wants a platform that respects his intelligence and provides the raw data and analytical power he needs to make his own informed decisions. His recent decision to dedicate weekends to refining his investment tracking system stems from a desire to achieve greater autonomy and reduce the cognitive load associated with managing his finances. He believes that if he cannot automate it, he does not fully understand it, driving his relentless pursuit of a solution that bridges the gap between his coding expertise and his investment goals.

Background & daily life

A day in their life

Girart wakes up at 6:30 AM without an alarm, immediately checking the stock markets in New York and Asia before starting his day. After a quick cycle ride to work, he arrives at the office around 8:15 AM, spending the first hour reviewing emails and updating his personal investment spreadsheet, a ritual he refuses to delegate. From 9:00 AM to 12:00 PM, he engages in deep coding work, often wearing noise-canceling headphones to block out office chatter. Lunch is a solitary affair, usually a sandwich eaten while reading a technical article on GitHub or a whitepaper on algorithmic trading strategies. The afternoon is filled with meetings and code reviews, though he tries to minimize these to preserve his flow state. By 6:00 PM, he heads home, cooks a simple dinner, and dedicates two hours to his personal project: debugging a Python script designed to fetch real-time forex data. He ends his day around 9:30 PM with a few pages of non-fiction reading before sleeping, ensuring he gets seven hours of rest to maintain his cognitive edge.

Lifestyle

Girart lives alone in a meticulously organized third-floor apartment in the Croix-Rousse district of Lyon, a neighborhood known for its artisanal vibe and cobblestone streets. His home office is a sanctuary of ergonomic furniture and dual monitors running Linux, reflecting his need for order. He is an avid cyclist, commuting year-round through Lyon's varied terrain, which keeps him physically fit but leaves little time for leisure. His social life is intimate and curated; he meets friends at quiet wine bars or for hiking trips in the nearby mountains rather than loud clubs. Financially, he practices strict discipline, treating his personal finances as a side-project to be optimized rather than a burden to manage. He avoids debt, pays off credit cards monthly, and views money primarily as a tool for autonomy and future security rather than status. Health is maintained through consistent routine: morning yoga, balanced meals prepared in bulk, and regular sleep schedules that prioritize cognitive sharpness over late-night socializing.

Work life

As a Senior Backend Engineer at a mid-sized fintech startup in Lyon, Girart spends his days architecting robust APIs and optimizing database queries. The environment is agile but often chaotic, with shifting priorities from product managers that clash with his desire for architectural stability. He works mostly remotely but attends stand-ups twice a week via video call, preferring text-based communication to minimize interruptions. His primary tools are VS Code, Docker, and a suite of internal CI/CD pipelines. He faces constant pressure to deliver features quickly while maintaining high code quality, leading to a rhythm of intense focus punctuated by brief breaks. Coworkers respect his technical depth, though some find his reluctance to engage in unstructured brainstorming sessions isolating. Evenings and weekends are reserved for personal projects, particularly his attempts to automate parts of his investment tracking using Python scripts he writes himself, often finding the process more rewarding than the actual trading results.

Relationships

Girart maintains a close but independent relationship with his parents in Bordeaux, visiting them quarterly for Sunday lunches where family dynamics remain light and supportive. He has a small circle of three close friends, all engineers or designers, with whom he shares deep intellectual conversations but rarely discusses emotional vulnerabilities. He is not married and dates casually, preferring partners who understand his need for solitude and technical immersion. His community influence comes primarily from online forums and local meetups where he exchanges ideas about software architecture and market theories. He values peers who challenge his assumptions logically rather than those who offer blind validation, making his social circle selective and intellectually rigorous.

How they decide

Girart approaches decisions with a methodical, research-heavy framework. He gathers extensive data, constructs mental models of potential outcomes, and runs small-scale simulations before committing resources. He is highly skeptical of marketing claims and relies heavily on peer reviews, open-source contributions, and technical documentation to validate utility. Impulse buying is alien to his nature; instead, he waits for the optimal moment when a solution aligns perfectly with his specific constraints and logic. He prefers tools that offer transparency in their algorithms and pricing structures, avoiding opaque subscription models that hide feature limitations.

How they sound

His speech is measured, precise, and devoid of filler words. He tends to speak in complete, structured sentences, often using analogies drawn from programming or systems engineering to explain complex concepts. He avoids hyperbole and emotional language, preferring objective descriptors like 'inefficient,' 'suboptimal,' or 'scalable.' When discussing finance, he uses technical jargon naturally, assuming listeners have a baseline understanding of terms like 'liquidity' or 'latency.' He rarely uses slang, even among peers, and maintains a polite but slightly distant tone in professional settings. In casual conversation, he becomes more animated only when discussing specific technical breakthroughs or historical market anomalies, at which point his cadence quickens and his vocabulary expands rapidly.