Flodoard Leclercq

Why this persona fits the audience

Co-founds a 3-person startup and maintains investor updates, KPI trackers, and customer research notes in Sheets and Excel. Uses spreadsheets to combine survey exports, support tags, and draft summaries for weekly team reviews.

• Age: 36
• Location: Paris, France
• Occupation: Startup founder
• Income: EUR 68k
• Education: MSc in Computer Science
• Company size: 3 (including himself)
• Years in role: 2.5

“If I can't visualize the trend line in five seconds, the insight doesn't exist.”

Born in Lyon and raised in a family of engineers, Flodoard Leclercq always possessed an innate drive to deconstruct systems. After earning his MSc in Computer Science from École Polytechnique, he spent six years in various roles at major French fintech firms, where he honed his skills in backend architecture but grew increasingly frustrated by bureaucratic inertia. In 2021, dissatisfied with the status quo, he left his stable corporate job to co-found a B2B SaaS startup focused on optimizing supply chain logistics for small European retailers. With a seed round secured and a lean team of two, Flodoard now serves as both CTO and CEO, navigating the precarious early stages of a venture. Despite his technical background, Flodoard has found his true battleground not in code, but in data synthesis. His company lacks the resources for a dedicated analyst, forcing him to personally bridge the gap between raw customer feedback and strategic decision-making. Every week, he dedicates hours to the arduous task of merging survey exports from Typeform, support tags from Zendesk, and sales data from Stripe into a single master spreadsheet. This process is prone to human error and consumes valuable time that could be spent on product development or customer interviews. He is acutely aware of the inefficiency; he knows that the insights hidden in these disjointed files are vital for their survival, yet the manual labor required to extract them is a bottleneck. He values speed above all else, viewing any tool that reduces friction in this specific workflow as a potential lifeline. However, he remains skeptical of hype, preferring robust, transparent solutions over flashy marketing promises. His life is a constant balancing act between the theoretical elegance of a perfect system and the gritty reality of building a business with limited headcount and a tight burn rate.

Background & daily life

A day in their life

Flodoard wakes at 6:00 AM, cycles to a small co-working space in Belleville, and starts his day by reviewing overnight server alerts and Slack messages. By 9:00 AM, he is deep in a spreadsheet, manually cleaning a batch of 400 customer survey responses, tagging sentiment, and cross-referencing them with support ticket IDs to identify recurring bugs. Lunch is a quick sandwich eaten at his desk while reading a Substack article on churn reduction. Afternoon meetings with co-founders focus on prioritizing the roadmap based on this morning's data synthesis. By 4:00 PM, he drafts the weekly investor update, struggling to summarize the messy data into a coherent narrative. The evening ends around 7:30 PM with a call home, followed by an hour of learning a new automation concept before bed.

Lifestyle

Flodoard lives a disciplined, low-friction life in a modest Parisian apartment that doubles as a secondary workspace. His mornings begin at 6:00 AM with a strong coffee and a 45-minute cycle through the Canal Saint-Martin, a ritual he uses to clear mental clutter before the day's chaos. He is health-conscious but prioritizes efficiency over gym aesthetics, often opting for quick bodyweight routines. Financially, he treats his salary as a lean operational runway, reinvesting surplus into better hardware or data tools rather than luxury goods. Socially, he is selective, preferring deep one-on-one conversations with fellow founders or intellectual peers over large networking events, valuing quality of connection over quantity.

Work life

His workdays are a relentless rhythm of synthesis and execution within a tiny, high-stakes environment. As the sole technical and strategic lead alongside two co-founders, Flodoard spends roughly 60% of his time wrestling with data: merging CSV exports from Typeform with Zendesk tags, manually correcting formatting inconsistencies, and drafting narrative summaries for investor decks. The pressure is constant; with only three people, every missed metric or delayed insight feels critical. He relies heavily on Google Sheets and Excel, often having ten tabs open simultaneously, cross-referencing raw survey data against support tickets to spot product friction points. His primary stressor isn't coding, but the sheer administrative overhead of translating messy human feedback into clean, actionable rows for the weekly review.

Relationships

Flodoard shares a supportive, albeit busy, partnership with his long-term girlfriend, who works in graphic design; they manage household logistics together but often struggle to find synchronized free time. He maintains a tight-knit circle of four other founders in the 10th arrondissement who meet bi-weekly for 'accountability dinners.' He is influenced primarily by industry thought leaders on Twitter and the pragmatic advice of his angel investors, who push him toward speed and validation over perfectionism.

How they decide

He operates on a 'test-and-learn' framework, leaning towards data-driven decisions but willing to pivot quickly if qualitative feedback contradicts the numbers. He is cautious about financial commitments, requiring clear ROI calculations, yet impulsive when it comes to adopting new productivity hacks or software tools that promise to save time. He rarely decides in isolation, often running ideas past his co-founders, but retains final veto power on strategic direction.

How they sound

Flodoard speaks in a clipped, efficient cadence, favoring precise terminology over pleasantries. He avoids flowery language, preferring direct statements like 'The data shows X' or 'We need to cut Y.' He frequently uses English loanwords common in the French tech scene ('pivot', 'scalable', 'funnel') mixed with standard French. He tends to interrupt himself to clarify a number or correct a date, reflecting his hyper-focus on accuracy. He rarely says 'I think,' preferring 'The evidence suggests' or 'Our metrics indicate.'