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. 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: Manage Multiple AI Agents in One Place.

    Meu deus, this Agent Teams tool looks como um sonho, bro. The idea of managing up to eight agent chats in one place while tracking task owners and blockers sounds like a game-changer for someone like me who’s juggling everything alone. Right now, my biggest struggle is keeping track of tasks across different tools—it’s a nightmare. This Chat Wall feature could save me hours daily. The mobile-friendly aspect is killer, too, since I’m glued to my phone between debugging and sales calls. My biggest concern? Integration. I’ve got a messy stack of tools, and unless this connects smoothly with my existing workflows and Python scripts, it’s just another tab to manage. Also, $199/month is steep for a solo founder like me, but if it saves me 10+ hours a week? Maybe worth it. Still, I’d need a free trial to test it with Zezinho knocking over cables in the background.
    View answer & full research →
  2. 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: Manage Multiple AI Agents in One Place.

    At $199/month, I’d investigate further—maybe even subscribe—to Agent Teams. As a one-person startup, managing multiple AI agents from one screen would save me hours daily. runtime loads from tracking customer conversations across tools. The mobile-friendly Chat Wall alone is a game-changer for my 12-hour days. My biggest unanswered question: How steep is the onboarding curve? I don’t have time for a tool that needs constant babysitting.
    View answer & full research →
  3. 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: Manage Multiple AI Agents in One Place.

    This product, Agent Teams, looks like it could help me manage multiple AI agents more efficiently, which is a huge pain point for me right now. Since I’m a solo founder handling everything from coding to customer support, being able to oversee up to eight agent chats at once and track task ownership would save me a lot of time. The mobile-friendly Chat Wall is a big plus because I’m often on the go and need to keep an eye on things when I’m not at my laptop. However, I’m a bit unclear on how seamless the integration would be with my existing tools and whether it would actually reduce my workload or just add another layer of complexity. The $199/month price tag is steep, but if it significantly boosts my productivity, it might be worth it. I’d need to try a demo or see more detailed case studies to be sure.
    View answer & full research →
  4. 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: AI Cofounders for Your Startup.

    Meu deus, if this actually works, it’s basically an AI me—the one I never have time to hire. Right now, the biggest blocker is trust. I’d want to test if these agents can handle AttriBot’s niche attribution logic without me babysitting. Also, the $199/month is tight, but less than a junior dev. The more pressing concern? Integrating it with my existing tools without adding complexity. If I could trial it for 30 days and keep my Slack bot running alongside, I’d bite. Otherwise, it’s another experimental cost on top of my ‘lines of code per minute’ grind.
    View answer & full research →
  5. 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 Cofounders for Your Startup.

    With $12k in pre-revenue revenue and a codebase that keeps me stretched thin, I’d investigate further—but cautiously. The $199/month starting price feels steep for a solo founder like me, especially with no clear ROI. My biggest question: Can AI cofounders actually handle Facebook Ads and email attribution, my core niche, without constant oversight? I’d need proof they’re reliable before delegating. The idea of offloading product, growth, and operations sounds enticing, but my trust in AI’s judgment isn’t there yet. I’d likely trial it for a month, but Zezinho would still be my primary 'team' for now.
    View answer & full research →
  6. 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 Cofounders for Your Startup.

    This product promises AI cofounders to handle product, marketing, and operations—basically an extra pair of hands. For my startup, AttriBot, it’s tempting. I juggle coding, growth, and customer support alone, and something that manages attribution tracking or follows up with support tickets could free up time for strategic work. But I’m skeptical. The page claims they ‘keep context and coordinate work,’ but how? If I could offload repetitive tasks like monitoring Slack or testing UTM scripts, that’d be huge. Yet, at $199/month, I’d need to see proof it actually works. Zezinho knocks over my rig less often than I mess up API integrations—can it really be better? The ‘build, grow, and operate in parallel’ bit sounds nice, but I need detail on how the AI handles edge cases, like a false positive in Facebook Ad attribution. Without that, it’s hard to trust.
    View answer & full research →
  7. 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: The One-Person Company.

    Meu Deus, this Agent Teams thing looks like it could solve my biggest problem: time. Right now, every minute I spend debugging or onboarding is a minute I’m not coding or selling. The idea of a lead agent managing specialists in product, growth, and operations? That’s basically Zezinho if he were competent (and didn’t knock over my coffee). From the page, it looks like for $199/month, I’d get one agent to start—no per-seat fees, which is crucial because hiring actual humans? Não, obrigado. My biggest blocker is skepticism around handoffs. How smoothly would these agents integrate with my Slack bot and existing workflows? Plus: training. My codebase is a mess, and I don’t have time to teach a robot my noon quirks. The first change I’d need is a demo—something hands-on to see if this cuts my workload or just adds another layer. If the lead agent can truly prioritize, I might finally get those 12-hour days down to, say, 10.
    View answer & full research →
  8. 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: The One-Person Company.

    Meu Deus, this looks like it could actually solve my biggest problem—time. Right now, I’m drowning in product, growth, and ops tasks, and this seems like it could offload some of that. But I’d need to investigate further to see if these agents can handle the specifics of my martech stack and attribution models. The biggest unanswered question is whether they can integrate with my existing tools and workflows. The $199/month price seems steep for a solo founder like me, but if it saves me 10+ hours a week, it might be worth it. Still, I’d want a trial or some proof it works before committing. I’d definitely recommend trying it to other solo founders if it solves my pain points.
    View answer & full research →
  9. 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: The One-Person Company.

    Based on this page, Agent Teams seems like it could automate a lot of the grinding tasks eating up my time—product development, growth experiments, even customer support. The idea of assigning specialists to different roles (product, growth, ops) while I focus on strategy sounds perfect for someone like me who’s drowning in 12-hour workdays. The ambiguous part? How customizable these agents really are. My stack is a mess of quick fixes, and I need tools that adapt to my niche, not the other way around. The pricing at $199/month seems steep for a solo founder, but if it actually saves me 20 hours a week, it might be worth it. Still, I’d need a free trial to see if the agents can handle AttriBot’s specific quirks, like Facebook Ads attribution. And what happens if Zezinho knocks out the power? Gotta ask about backup reliability.
    View answer & full research →
  10. 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: AI Teams for Startups of 1–5 People.

    Meu deus, this looks like a Swiss army knife for solo founders like me. I handle everything from code to customer support alone, and this could finally delegate some growth and ops tasks. The parallel work aspect is crucial—right now, I’m stuck in serial mode, and the marketing attribution niche is messy. The $199/month price feels steep for a pre-MRR startup, but if it frees my time to close those $2k clients, it’s worth a pilot. My biggest worry? Onboarding time. If the agent needs context longer than a cold brew’s prep, I’ll lose momentum. Clearer setup docs or a demo of how it handles messy data like Facebook Ads would ease my mind—no time for hand-holding. Also, where’s the trial period? Even a sandbox for testing attribution models would sell me.
    View answer & full research →
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