AI Startup Hits $8.6M ARR With V0 MVP and €85 Pricing

Summary of AI Startup Hits $8.6M ARR With V0 MVP and €85 Pricing

by Omer Khan

36m•April 30, 2026
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Overview of this SaaS Podcast Episode with Marius Miners

In this episode of the SaaS Podcast, Omer Khan talks with Marius Miners, founder of Peak AI, about how he took the company from zero to $8.6M ARR in 14 months. Peak helps brands understand and improve how they appear in AI search tools like ChatGPT, Perplexity, Gemini, and Google AI Overviews. Marius shares how they validated the idea, built the MVP in just 1.5 days using V0, signed LOIs before production code, priced aggressively at €85/month, and grew through a mix of social, word of mouth, and AI search itself.

Peak AI: What It Does and How Big It Became

  • Product: AI search analytics / GEO platform
  • Customer problem: Helps companies see how often and how well they show up in AI-generated answers
  • Scale:
    • 2,000+ customers
    • $8.6M ARR
    • 55 team members
  • Pricing: Roughly €85/month, significantly lower than many competitors charging $500+
  • Growth channel: About 20% of conversions now come from AI search

Marius Miners’ Background

Marius has an unconventional path to SaaS:

  • Grew up sick and spent much of his childhood at home
  • Became deeply involved in League of Legends esports, eventually ranking highly and streaming
  • Learned discipline and performance through gaming
  • Moved into software development, but found himself more interested in business problems than engineering
  • Rebuilt his education path, studied economics, and worked in VC / startup investing
  • Later joined PwC’s venture and deals practice, gaining exposure to startups from multiple angles
  • Eventually felt ready to launch his own company after seeing startups as a founder, investor, buyer, seller, and advisor

How Peak Was Found

Before Peak, Marius and his cofounders went through several failed ideas in Antler:

  • They started with no team and no clear idea
  • Tried multiple directions, including:
    • Legal tech
    • Regulatory tech
    • AI-related compliance ideas
  • Most ideas were dropped within 2–3 weeks because they lacked clear market pull

Key validation lesson

Marius emphasized that founders should:

  • Avoid pitching the solution too early
  • Ask open-ended questions about the customer’s real priorities
  • Look for strong market pull, not just polite interest
  • Validate through customer pain, not founder excitement

His rule of thumb: if a topic is truly important, people will be eager to talk about it and solve it—even if the product is rough.

Building the MVP and Landing Early Customers

Peak’s MVP was built extremely fast:

  • Marius had not coded seriously in years
  • He used V0 to vibe-code the first prototype in about 1.5 days
  • The prototype let users:
    • Enter a set of prompts
    • See which brands appeared in AI answers
    • View sentiment / mention quality for those brands

That prototype helped them:

  • Raise their first $100K from Antler
  • Secure 8–9 LOIs before writing production code
  • Convince cofounder Toby to join and build the real product
  • Launch the actual product in about 6 weeks

How they got the first customers

They looked for people already talking about AI search on:

  • LinkedIn
  • X / Twitter
  • Conferences
  • Their broader network

These were warm leads because they already understood the category was important.

How Peak Thinks About AI Search / GEO

Marius explained that LLMs can surface brands in two main ways:

  1. Training data-based answers
    • Being included in the model’s stored knowledge matters
  2. Web search / retrieval-based answers
    • The model searches the web, reviews sources, and cites the ones it trusts

What founders should focus on

Marius suggested a practical approach:

  • First determine whether AI search matters for your business
  • Ask:
    • Where do customers spend time?
    • What are they asking ChatGPT or similar tools?
    • Are you showing up in those answers?
  • Test with multiple prompts, not just one
  • Look at where the model is pulling information from
  • For many B2B SaaS brands, sources like Reddit can be important

His advice: if AI search is relevant, it should become part of your broader marketing strategy, not just a vanity metric.

Positioning, Pricing, and Market Strategy

Peak entered a market with better-funded competitors charging far more, but chose a different path.

Why they priced at €85/month

  • Their competitors focused on large enterprise brands
  • Marius believed the real opportunity was mid-market and SMB
  • He compared the space to SEO, where the biggest businesses often serve a broad base of smaller customers
  • The product needed to be affordable for smaller teams and founders

Different buyer, different product

  • Enterprise buyers care more about integrations, pilots, and downside protection
  • Mid-market buyers need fast time-to-value and clear growth upside
  • Peak built for the latter

Growth Drivers

After launch, the company’s growth accelerated quickly:

  • Social media, especially LinkedIn, played a major role
  • Word of mouth became a strong channel
  • Peak also benefited from the category itself growing rapidly
  • As AI search became more mainstream, demand spiked within months

Marius noted that by the time the market had matured, what was once niche became broadly relevant.

Founder Lessons and Takeaways

What worked

  • Move fast and validate with real conversations
  • Don’t overbuild before proving demand
  • Focus on the customer’s actual problem, not your preferred solution
  • Use scrappy outreach early, then scale hard once product-market fit appears
  • Build for a specific ICP rather than trying to serve everyone

What Marius would do differently

  • He said he and the team probably should have been more effective rather than just “cool”
  • He also suggested that once PMF appears, founders should be willing to deploy capital quickly

Lightning Round Highlights

  • Disagrees with: “Being scrappy” as a long-term operating strategy; useful early, but you must shift gears once PMF is found
  • Favorite recent book: The Power of Now by Eckhart Tolle
  • Hard lesson: Prioritize effectiveness over image or style
  • Most useful tools: Claude, Granola, and Notion
  • For fun: Video games, card gaming, and partying in Berlin

Final Takeaway

Peak’s story is a strong example of modern SaaS building:

  • Validate by selling first
  • Build a simple MVP fast
  • Target a real, emerging market shift
  • Price for the segment you actually want to win
  • Use the channels your buyers already trust

Marius’s core message: find genuine market pull, move quickly, and adapt the business to the customer—not the other way around.