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Lingolet: The 14-Person AI Translation Powerhouse
How a lean team built a $1.2M SaaS platform merging AI and human expertise
In a market saturated with automated translation tools, Lingolet is making a bold bet: the future of language isn't AI vs. humans, but AI *with* humans. They've built a SaaS platform that promises real-time interpretation by combining machine efficiency with human nuance—a model that's already generating $1.2M in revenue with just 14 employees.
"They're not selling translation—they're selling communication without borders, powered by a hybrid engine that knows when to trust the machine and when to call a human."
The Lean Revenue Machine
With 14 employees generating $1.2M in revenue, Lingolet achieves an impressive $85,700 revenue per employee—nearly double the industry average for SaaS companies at this stage. This efficiency suggests a highly automated platform where the 'human' in their AI+Human model is strategically deployed, not wastefully sprinkled throughout operations.
The Zero-Traffic Paradox
Here's the intriguing part: despite the revenue, Lingolet shows zero recorded monthly visits. This isn't necessarily a red flag—it could indicate they're a B2B enterprise sales machine, relying on direct outreach and partnerships rather than organic search. Their multi-platform social presence (Twitter, LinkedIn, Facebook, Instagram) suggests a sophisticated, multi-channel customer acquisition strategy that doesn't depend on website traffic.
The tech stack reveals their priorities: Tailwind CSS and Bootstrap for rapid UI development, Google Analytics and Mixpanel for tracking, and Cloudflare for performance. Notably, they're using PWA (Progressive Web App) technology—smart for a platform that likely needs to work across devices for real-time interpretation. The Facebook Pixel alongside Mixpanel suggests they're running targeted campaigns, reinforcing the B2B enterprise sales hypothesis.
- Founder-led with Jerry Song at the helm, backed by strategic angel investor Edward Varela
- Dual-track strategy: AI automation for scale, human expertise for quality assurance
- Enterprise-ready SaaS model with direct sales infrastructure
- Multi-platform social strategy for brand building and lead generation
The 14-Person Unicorn in the Making?
Lingolet proves that in SaaS, revenue per employee matters more than website traffic. Their hybrid AI+Human model could be the blueprint for the next generation of language services—lean, automated, and strategically human where it counts.
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Lingolet
Combining AI and Human to deliver interpretation and translation in a SaaS platform
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About lingolet.com
Combining AI and Human to deliver interpretation and translation in a SaaS platform
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lingolet.com uses 15 technologies across their website including Google Fonts, Ghost, cdnjs, and more.
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lingolet.com receives approximately 0 monthly visitors. The website has a bounce rate of 0% with visitors viewing an average of 0.0 pages per visit. Users spend an average of 0:00 on the site.
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