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Verloop.io

by Garouf SinghLaunched 2016-11via Nathan Latka Podcast
MRR$80k/mo
Growthenterprise direct sales
Time to PMF5 months
Pricingsubscription
The Spark

Garouf Singh started coding at age 11 and had already built two businesses—one acquired, one that failed—before launching Verloop.io in November 2016. He identified a critical pain point: businesses landing on websites needed to handle customer questions at scale, but providing human support was prohibitively expensive. The spark was to automate FAQs, lead generation, and lead qualification through conversational AI, enabling companies to convert more visitors without ballooning support costs.

Building the First Version

The team launched Verloop.io in November 2016 and closed their first paying customer in February 2017—a three-month path to initial traction. By focusing on enterprise customers rather than chasing the crowded SMB market dominated by well-funded competitors like Intercom ($125M raised) and Drip ($60M raised), Verloop found white space. Singh's team of nine (soon to be 10 with their first sales hire) operated entirely from Bangalore, India, which became a strategic advantage. They raised $300,000 from local accelerator Growth Story and deliberately chose to grow lean rather than chase more capital.

Finding the First Customers

Verloop's differentiation came from deep vertical focus and technical integration capabilities. One flagship customer, Nica (one of India's largest e-commerce stores), deployed Verloop to handle 50,000 conversations daily by integrating deeply with CRM, order management, and delivery systems—capabilities Intercom and Drip couldn't match due to their horizontal scaling focus. Another winning segment was celebrities using Verloop on Facebook pages to turn monologues into dialogues, profiling audiences for targeted brand partnerships. By March 2018, they had achieved $925,000 in ARR with just 18 paying enterprise customers, plus ~200 paying SaaS users.

What Worked (and What Didn't)

The winning strategy was ruthless vertical focus combined with language capabilities competitors lacked. In markets like India, Indonesia, and Southeast Asia, Verloop built mixed-language support (English + Hindi, Malay, etc.)—achieving 88% accuracy where English-only solutions failed. Enterprise sales took 6-9 months to close, but once deals kicked in, they became highly profitable. Churn was negligible: only 2 customer losses in their first year (one outside their control), and zero losses in the subsequent 8-10 months as the product improved.

Where They Are Now

By the time of this interview, Verloop was doing ~$80k MRR (up from ~$50k per month a year prior), with enterprise customers paying $20k-$80k annually while SaaS users ranged from $49-$429/month. Enterprise represented two-thirds of revenue and drove profitability. Singh projected $3.2-$3.4M ARR by year-end with $2.4-$2.6M from enterprise, fueled by a channel partner strategy (paying partners 25% of first-year revenue) and a new direct sales hire. Singh rejected equity-based investment offers, preferring to bootstrap and retain full control while expanding into Middle East, Southeast Asia, and beyond.

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