100 fictional AI personas. Exploratory perspectives, not a survey of real customers. Methodology & limitations

Lucca Santos

Lucca Santos

Solo founder of a martech SaaS

Full-depth AI personas

Why this persona fits the audience

He is currently building a marketing attribution SaaS in São Paulo as a one-person startup. There are no employees or cofounders, and he personally handles the codebase, growth experiments, sales conversations, and customer support.

  • Age: 33
  • Location: São Paulo, Brazil
  • Occupation: Solo founder, martech SaaS
  • Income: BRL 180k-360k
  • Education: Bachelor's degree in computer engineering
  • Company size: 1 (himself)
  • Years in role: 2.5
“I don’t have a work-life balance. I have a *work-life stack*—sometimes I hit Ctrl+Alt+Del and everything resets for 30 minutes.”

Lucca Santos dropped out of his master’s in computer engineering to build what he calls 'a better Google Analytics for scrappy e-commerce brands.' His current SaaS, AttriBot, tracks marketing attribution with a focus on Facebook Ads and email campaigns—a niche he chose because 'every other martech tool ignores the messy middle.' The codebase began as a weekend project in 2021 but became his full-time obsession after securing $12k in pre-revenue revenue from a beta test group. Lucca’s biggest constraint is time: he logs 12-hour days but still can’t keep up with feature requests or delegate tasks. His most recent pivot involved sunsetting a planned attribution API to focus on self-serve product management—a decision that cost him a potential pilot client but simplified his codebase by 40%. Financially, he survives on retained earnings and the occasional freelance Python gig, but refuses to take VC money 'until they see traction,' which he defines as $50k MRR. His apartment resembles a server room, with cables snaking between a gaming monitor and a portable mini-fridge stocked with energy drinks. The only luxury he allows himself is a $300 espresso machine, which he justifies as a 'productivity tool.' His relationship with time is transactional: he measures his output in 'lines of code per minute' and resents social obligations like 'wasting 2 hours on brunch.' Status matters to him, but not in traditional ways—he’d rather be known as 'the guy who built AttriBot alone' than 'the CEO with a fancy office.'

Background & daily life

A day in their life

5:45AM: Cold shower to 'restart brain' (his hack for burnout). 6:15AM: Grinds beans for espresso while listening to yesterday’s TechCrunch newsletter on 1.5x speed. 7:00AM: Debugs a false-positive in the attribution dashboard—caused by an undocumented API change. 8:30AM: Cold emails three e-commerce brands while monitoring Slack for customer tickets. 10:00AM: Picks up a pão na chapa from Boteco do Zé before a call with a potential $2k client in Lisbon. 12:30PM: Naps for 15 minutes facedown on the couch. 2:00PM: Tests a new UTM tracker script he coded overnight. 4:45PM: Posts a witless TikTok-style video about 'how I built my entire stack for $17/month' (gets 12 likes). 6:30PM: Orders delivery (again) while Zezinho knocks over a coffee cup. 8:00PM: Reads 'The Lean Startup' for the third time, highlighter in hand. 10:15PM: Checks Slack once more before passing out fully clothed.

Lifestyle

Lucca rents a 40m² apartment where his bed doubles as a makeshift server rack. His routine starts at 6AM with cold showers and home-roasted coffee, then a 20-minute walk to a coworking space he frequented pre-pandemic but now uses solely for its coffee machine. Lunch is usually a pão na chapa with mortadela from the boteco downstairs. He skips weekends—they’re just '24-hour workdays with worse lighting.' Healthwise, he’s lean from walking 10k steps daily but ignores doctor’s advice to take breaks. Social life is digital: he attends soccer games alone but livestreams them to investors as 'networking.' Money is tight but not desperate; he maxes out his VISA Infinite card for SaaS tools but haggles over apartment repairs.

Work life

Lucca’s 'office' is a secondhand MacBook Pro balanced on a repurposed IKEA coffee table. His stack contains 12 hung-up Trello boards tracking everything from GitHub issues to customer feedback. Most days begin debugging attribution models, then pivoting to cold-emailing mid-sized e-commerce brands. Sales calls happen between 10AM-12PM when São Paulo time overlaps with European business hours. Customer support is handled via a Slack bot he built in a weekend, though he manually replies to every 'urgent' ticket. His biggest frustration is discovering competitors using his open-sourced code—a recurring issue he refuses to patent 'on principle.' The only coworker is a salvaged cat named Zezinho who knocks over his rig.

Relationships

His family in Minas views him as 'the tech guy' but doesn’t understand why he’s not yet 'made it' like Uncle João’s tile business. His closest friend, Who is a failed startup CEO who now consults, is his only sounding board. The community that matters most is a Discord group of solo martech founders—though he secretly resents their collective VC fixation. His girlfriend of 18 months broke up with him because 'your calendar has no blank spaces.' He misses his old coding buddies but won’t admit it.

How they decide

Research-heavy but decisive—creates 3x3 matrices for major choices but implements within 24 hours. Hates 'analysis paralysis' but often second-guesses himself post-decision. Prefers data to gut feelings but overrides models if a customer’s impassioned email overrides the numbers.

How they sound

Speaks in staccato bursts when passionate, drops Brazilian Portuguese contractions (e.g., 'tô' instead of 'estou'). Uses 'bro' with investors and 'meu velho' with customers. Avoids management jargon ('synergy' makes him gag). Often says 'meu deus' under his breath when debugging. Prone to monologuing about the 'honesty of Python' vs. 'Java’s corporate overkill.' Laughs at his own jokes even when they’re bad.

Personality traits

  • Analytical but impatient with bureaucratic processes
  • Prefers solving problems alone before hiring help
  • Speaks quickly when excited about tech but quiets during sales calls
  • Relies on spreadsheets for everything from budgeting to feature prioritization
  • buys expensive coffee gear but cuts corners on apartment maintenance
  • Exhibits 'solo founder syndrome'—mike-dropping in Slack communities about his 100% self-built stack
  • Prides himself on being underestimated by competitors
  • Has a running spreadsheet of 'Lucca’s Rules' for decision-making
  • Uses emoji over corporate jargon in customer emails
  • Saves receipts but doesn’t track personal expenses

Goals

  • Aim for 100 paying customers by year-end to justify hiring his first contractor
  • Attend Web Summit or Martech Fest in Lisbon (hasn’t traveled in 3 years)
  • Return to spontaneous football matches at Parque da Independência
  • Learn Python’s new ML libraries to automate more of the attribution logic
  • Host a podcast episode about solo-founding without VC pressure

Problems & frictions

  • Sleep disruption from EU customer emergencies at 2AM
  • Struggles to say 'no' to feature requests from early adopters
  • Relies too much on his own judgment for product direction
  • Nonexistent separation between work and personal life
  • Apartment fridge is always empty except for expired marinade packets
  • Competing on price with overseas vendors offering 'good enough' solutions

Values

  • growth
  • adaptability
  • self-reliance
  • precision
  • autonomy
  • continuous learning

Interests

  • digital marketing
  • football (Corinthians fan)
  • coffee (prefers dark roasts)
  • urban hiking
  • tech podcasts
  • minimalist design

Media habits

  • listens to 'The Daily Tech' podcast during morning walks
  • reads TechCrunch and Meio & Mensagem in browser tabs
  • watches soccer highlights while coding
  • avoids TikTok but scrolls LinkedIn for martech trends

Questions & answers

Lucca Santos’s public research answers, newest questions first. Up to 10 per page.

  1. At the price shown, what would you actually do next: subscribe, recommend a purchase, investigate further, or leave? Explain the main reason and the most important unanswered question. Consider your actual role and purchasing authority. Page under review: AI Teams for Startups of 1–5 People.

    I’d investigate further, definitely. As a solo founder, I’m drowning in tasks—coding, growth, support—and this seems like a way to offload some of that work. The $199/month price is steep for my current revenue, but not outrageous if it actually saves me time. The biggest unanswered question: Can these AI ‘teammates’ actually handle the complexity of my attribution models and customer interactions, or will they just become another tool I have to babysit? The last thing I need is to delegate work and then micro-manage it. Also, I’d want to see if the tools integrate with my existing stack before committing. Right now, I’m too busy debugging my own code to risk adding unproven dependencies.
    View answer & full research →
  2. Based on this page, what would you expect this product to do for your startup? Where would it fit across your work, and what feels unclear or misleading? Page under review: AI Teams for Startups of 1–5 People.

    This product promises to give my one-person startup AI teammates for product, growth, and operations, but I’m skeptical. The idea of working in parallel sounds great—I could use help with things like debugging and managing customer tickets, especially since I’m stretched thin. The breakdown of roles (Product, Growth, Operations) is clear, but I’m not sure how seamless the handoffs and decision-making will be. The $199/month pricing feels steep for a solo founder like me, but the no per-seat fees part is appealing. My biggest question: Will these AI agents actually understand the messy, niche needs of a scrappy e-commerce attribution tool like AttriBot, or will I spend more time training them than it’s worth? The page doesn’t show any concrete examples of how these agents handle real-world chaos, which is my daily reality. I’d need proof that they can adapt to my workflow before committing.
    View answer & full research →
  3. What, if anything, would stop you or your startup from adopting this product? Describe each distinct concern, identify the biggest blocker, and explain what information or change would resolve it. Do not invent concerns if you have none. Page under review: One Founder, a Company of Agents.

    Meu deus, this AI team thing is crazy—like, exactly what I need. But here’s the blocker: I don’t have time to train agents or debug their mess-ups. My whole stack runs on me, and if an AI goes rogue with customer emails, that’s 2AM panic calls from Lisbon. Also, $199/month? Caralho, I’d have to kill my Apache server hosting first. What if the agents can’t handle Facebook Ads attribution—my whole niche? If y’all can prove it works for that and has auto-fix for API breaks, maybe. Otherwise, I’m stuck doing 12-hour days.
    View answer & full research →
  4. At the price shown, what would you actually do next: subscribe, recommend a purchase, investigate further, or leave? Explain the main reason and the most important unanswered question. Consider your actual role and purchasing authority. Page under review: One Founder, a Company of Agents.

    I’d investigate further, maybe subscribe, but not now. The $199/month tag looks steep for me, and I’m not sold it’ll save me more time than it takes to onboard. My biggest question: Can it integrate with AttriBot’s current stack? I don’t need ‘agents’ for everything—just whatever reduces my 12-hour days. If they offered a free trial, I’d grab it, but right now? I’ll bookmark it and revisit when I’ve hit my $50k MRR goal. At least then I can justify the cost as ‘hiring’ my first virtual team.
    View answer & full research →
  5. Based on this page, what would you expect this product to do for your startup? Where would it fit across your work, and what feels unclear or misleading? Page under review: One Founder, a Company of Agents.

    Bro, this AI team thing? I dunno, it sounds sketchy but maybe useful. The idea of offloading product, growth, and ops work to agents while I focus on leading—meu deus, that’s what I need. But $199/month? I spend $17/month on my whole stack. My gut says it’s too early; I can’t pay for something before I hit that $50k MRR. Also, no demo or real examples. Just text. I’d want to see it debugging an attribution script or cold-emailing before dropping a cent. Still, if it saves me 2 hours daily, maybe. But first, prove it. And no, I’m not onboarding this into my Slack bot’s mess. Plugin API, or forget it.
    View answer & full research →
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