In a recent LinkedIn post, Linas Beliūnas explores the fascinating early history of the AI meeting assistant Fireflies, questioning the ethical lines between rigorous validation and outright deception in the startup world. Beliūnas highlights how the company’s initial success was built not on advanced artificial intelligence, but on manual effort disguised as automation, prompting a broader discussion about the true nature of product-market fit.
The Manual Hustle Behind a Billion-Dollar Idea
Beliūnas recounts the surprising origin story of Fireflies, a company now valued at $1 billion. He reveals that the first version of their AI meeting assistant was entirely devoid of AI. Instead, the founder manually joined calls, took notes, and emailed summaries to participants. This hands-on approach, while not technically AI, served as a crucial validation step.
“Turns out the first version of AI meeting assistant Fireflies didn’t even have any AI 😳”
This manual process, involving over 100 meetings, was instrumental in proving that there was genuine demand for the service. As Beliūnas puts it, “Every time a customer scheduled a ‘meeting with our AI,’ they’d manually dial in, sit silently, and take notes by hand.” This period was a testament to the principle of “Do Things That Don’t Scale,” a strategy popularized by Paul Graham, but taken to an extreme by the Fireflies founder.
When Validation Blurs into Deception
The core of Beliūnas’s analysis revolves around the ethical tightrope walked by startups employing such methods. He poses a critical question: “when does validation cross into deception?” The Fireflies story, he notes, has drawn divided reactions, with some hailing it as genius and others condemning it as fraud.
“And in the AI era – where ‘automation’ and ‘authenticity’ collide – that line is razor-thin 🤖”
Beliūnas acknowledges that Fireflies later clarified the existence of early AI technology that served as a bridge to full automation. However, he emphasizes that the initial manual hustle was essential to demonstrate market need before the technology could fully catch up. This approach, he argues, underscores a fundamental truth that many founders are reluctant to face.
The Human Element in Product-Market Fit
According to Linas Beliūnas, the Fireflies narrative highlights that achieving product-market fit (PMF) cannot be solely accomplished through coding. He stresses the importance of deeply engaging with the problem and the customer.
Key Takeaways for Founders
Beliūnas distills his observations into a series of actionable principles for aspiring entrepreneurs:
- Validation before automation: Ensure there is a real market need before investing heavily in automated solutions.
- Transparency before scale: Be open about your process, especially in the early stages.
- Trust before hype: Build genuine trust with your early users.
He argues that founders must “live it” and “bleed for it,” essentially becoming the product themselves before they can effectively build it. This intense, human-driven effort is what truly validates an idea.
“Perhaps the real artificial intelligence was human grit all along.”
In conclusion, Beliūnas’s analysis of the Fireflies origin story serves as a powerful reminder that behind technological advancements, the foundational elements of understanding customer needs, demonstrating market demand, and building trust through genuine effort remain paramount. The story suggests that while AI is transforming industries, the core of successful entrepreneurship still lies in human ingenuity and perseverance.
📝 About This Content
This article is based on insights shared by Linas Beliūnas on LinkedIn.
📅 Originally posted on April 9, 2026 | View original post on LinkedIn →