Invisible Collector
Pedro Mendes identified a massive inefficiency in how companies manage receivables. With 76% of money transacted worldwide based on credit, yet companies largely unstructured in their collection processes, he saw a clear market gap. Rather than waiting for customers to remember to pay, why not reach out proactively and intelligently stimulate payment before defaults happen?
Launched in January 2016, the Invisible Collector team spent roughly 14-15 months developing their cloud-based system alongside initial test customers. They built an AI-powered interaction engine that doesn't just send generic payment reminders—it determines the optimal timing, tone, and message for each debtor. The system can even run A/B tests on different collection strategies to see what works best. Development finally culminated in a commercial release in November 2016.
Instead of scaling with marketing spend or relying on word-of-mouth, Pedro's team took a surgical approach: LinkedIn direct outreach. They searched for CFOs and IT managers at utility companies and professional credit collection agencies—the exact personas with budget and pain. Their pitch was simple: a 2-3 line message asking, "Do you want to get your money faster? Please reach us. We have an online AI based system to revolutionize or to ramp up your collection process." The response rate was strong enough that they built a meeting, discussed the prospect's existing collection process, then demonstrated their solution. It worked—their first customers came via this direct-sales channel.
The LinkedIn + direct-sales model proved remarkably effective. Within a year of commercial launch, they'd signed 15 corporate customers—many of them professional credit collection companies who became both resellers and partners. Notably, Pedro's team avoided the trap of trying to build a self-serve product too early. Instead, they stayed hands-on, focusing on the highest-intent buyers: people already in the collections business.
By the time of this interview, Invisible Collector was generating $45,000 per month in revenue (15 customers × ~$3k average monthly fee), entirely bootstrapped with zero churn so far. The team had grown to 6 people across Portugal and Spain and was already cash-flow positive—a rare achievement for a young SaaS company. Rather than raise capital to survive, they were raising $500k at a $1.5M pre-money valuation specifically to hire expertise in online marketing channels and fund an AI product enhancement. Two serious investors (one corporate fund, one FinTech-focused angel from Spain) had already tabled proposals.
- •The founder identified a structural market gap where 76% of global transactions run on credit but companies lack systematic collection processes, creating urgent demand for an intelligent alternative to manual reminders.
- •By targeting existing professional credit collection companies as both customers and resellers, Invisible Collector achieved distribution through partners who already had budget, sales infrastructure, and immediate use cases rather than building awareness from scratch.
- •The LinkedIn direct-sales approach with hyper-personalized 2-3 line pitches to specific decision-makers (CFOs, IT managers) bypassed cold-outreach friction and reached high-intent buyers who recognized the pain point immediately.
- •Staying hands-on with direct sales and avoiding premature product self-service allowed the team to deeply understand customer collection workflows, build stronger relationships, and achieve zero churn while reaching $45k MRR with just 15 customers.
- 1.Map the exact personas and companies most desperate to solve your problem—in this case, credit collection professionals—and use LinkedIn to build a targeted list rather than broad prospecting.
- 2.Craft a 2-3 line value pitch that directly addresses a specific pain point (e.g., 'Do you want to get your money faster?') and send personalized connection requests that reference why you're reaching out to that individual.
- 3.Plan for 12-18 months of product development alongside early test customers before commercial launch, building AI or automation features that solve the core workflow bottleneck, not just nice-to-have extras.
- 4.Prioritize direct sales conversations and product demos with high-intent prospects over scaling self-serve channels early; use each customer interaction to refine positioning and uncover reseller or partnership opportunities.
- 5.Focus customer acquisition on markets where partners can resell your solution (e.g., collection agencies distributing to their clients), turning customers into distribution channels and reducing your own sales burden.
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