How Jennifer Smith Built Scribe to $1.3B Ignoring Her VCs

When Jennifer Smith pivoted Scribe from an automation tool to a documentation platform, her investors told her she'd killed the company. She ignored them. Today, Scribe is used by 95% of the Fortune 500 and just closed a $75M round. Here's exactly how she did it.

Key Facts

• Fortune 500 penetration: Used by 95% of Fortune 500 companies (Jennifer Smith)
• Co-founder search: Jennifer met 80+ potential co-founders before choosing Aaron (Jennifer Smith)
• Enterprise buyer interviews: Conducted over 1,200 interviews with CIOs, CTOs, and VPs of IT while at Greylock (Jennifer Smith)
• Funding timeline: Seed round followed by a preemptive Series A just six months later (Jennifer Smith)
• Investor reaction to pivot: Investors said 'you just killed the company' when she pivoted to documentation (Jennifer Smith)

1,200 Customer Interviews: How Jennifer Smith Spotted the Problem Before Building

Jennifer Smith conducted over 1,200 interviews with enterprise buyers — CIOs, CTOs, and VPs of IT — during her three years at Greylock. Every conversation surfaced the same pain: companies run on institutional knowledge that lives only in people's heads, walks out the door at 5 p.m., and has no scalable way to be captured or shared.

Before founding Scribe, Jennifer spent years at McKinsey optimizing large operations in places like Kansas and Ohio. Her method was simple: find the best-performing employee, pull them aside, and reverse-engineer their process. 'They would pull out these thick binders of laminated pages with step-by-step guides,' she recalled. The insight that stuck — it cost a million dollars a month to do what software should do automatically.

At Greylock, Jennifer flipped the standard VC script. Instead of pitching companies, she interrogated buyers. 'I would always flip the question back to them and be like, what do you wish that Silicon Valley was building?' The answer, repeated across more than 1,200 conversations, was the same: leaders could see inputs and outputs but had no visibility into the actual work happening in between. As Jennifer put it, 'That's knowledge that walks out the door every day at 5 p.m. and I have to hope that it comes back.'

"What do people do here every day? What are the workflows that power my company? That's knowledge that walks out the door every day at 5 p.m. and I have to hope that it comes back." — Jennifer Smith

"You can see the inputs... and you see the outputs, you see the KPIs, but you have no way of actually observing the transformation of work." — Jennifer Smith

The Pivot That Investors Said Would Kill the Company

Scribe originally automated workflows. Customers told Jennifer the documentation output was far more valuable than the automation itself. She pivoted to focus entirely on documentation — and investors immediately told her she'd killed the company. She disagreed, backed her customer data, and proceeded anyway.

The original Scribe MVP watched users perform tasks and built automations to replicate them. But early customers kept sending a different signal. 'They were like, automation is interesting, but that's not the most valuable thing that you're providing for us right now,' Jennifer explained. Some users were actively ignoring the automation feature and keeping only the documentation output. That asymmetry was impossible to ignore.

The pivot was not subtle. Dropping the automation product meant abandoning what investors had originally funded. 'We had investors who were like, you just killed the company. This is over. I don't know why you did this,' Jennifer said. Her response was direct: 'Respectfully, I have more information than you do about our customers. I'm going to do it anyway and I'm right.' She was. Scribe is now a $1.3B company used across 95% of the Fortune 500.

"We had investors who were like, you just killed the company, you know, yeah, this is over. I don't know why you did this and I had to be like, respectfully, I have more information than you do about our customers. I'm going to do it anyway and I'm right." — Jennifer Smith

"That documentation thing that you did where you watched people and you automatically created guides on what it was they were doing, that's really interesting." — Jennifer Smith

• Original MVP: record workflows, auto-generate documentation, build automations.
• Key signal: users were discarding the automation and keeping only the docs.
• Pivot trigger: multiple customers said documentation was the step-change value.
• Investor reaction: told Jennifer she had 'killed the company.'
• Outcome: Scribe's documentation-first model became the foundation of a billion-dollar business.

Launching a Janky MVP: How Scribe Validated Market Pull on Product Hunt

Rather than polish the product, Jennifer launched a rough, offline Mac app on Product Hunt to test real organic demand. The goal was 500 downloads in two months with zero marketing. She didn't hit the number — but the quality of the response convinced her she'd found something real.

Jennifer's launch philosophy was deliberate: 'We're not going to waste another week perfecting this thing. We just have to get it out there and see if anybody cares.' The Product Hunt launch was built around the jankiest version of Scribe imaginable — a desktop app that wasn't connected to the internet and required users to dismiss security warnings just to install it.

What happened next was more signal than the download count alone. Users began sending unsolicited long-form feedback emails. Scribe was covered in blog posts across seven or eight languages — none of which Jennifer had arranged. 'We were not doing anything, any kind of publicity otherwise,' she noted. The product had touched a nerve. 'I just feel the pull,' she told her team. 'Just look at it — people are sending these long emails. They really care. We've touched on something for them.'

"We just have to get it out there and see if people believe in it as much as we do. Do people care the way that we care?" — Jennifer Smith

"I started realizing we were on to something. It wasn't just that the downloads were growing every day... some of them would send us really long essays that were like, 'Hey, I have all this feedback for you.'" — Jennifer Smith

The Boulder Test: Jennifer Smith's Framework for True Product-Market Fit

Jennifer's Boulder Test is simple: if you feel like you're pushing a boulder uphill, you're on the wrong hill. True product-market fit feels like chasing a boulder downhill — the market is already moving and you're running to keep up. This gut check matters more than any metric in the early stages.

Jennifer is skeptical of over-indexing on metrics to confirm product-market fit. For her, the real test is physical — almost visceral. 'Market pull, you can put whatever metrics you want against it, but you feel it. Like you just feel when the market is pulling something from you,' she said. When she saw Scribe downloads accelerating daily without any marketing spend, she turned to her husband and said: 'These keep coming in and there are actually more of them every day. It's accelerating.'

The Boulder Test has a corollary: persistence is not about brute-forcing the wrong direction. 'Anytime we've ever tried to do anything with the team, I always tell them, if you feel like you're pushing a boulder up a hill, we're on the fucking wrong hill,' Jennifer said. 'You want to feel like you're chasing after the boulder.' The insight reframes resilience — it's not about grinding harder, it's about finding the right hill first.

"If you feel like you're pushing a boulder up a hill, we're on the fucking wrong hill. Like let's go find some flat ground that's got some downward slope." — Jennifer Smith

"You want to feel like you're chasing after the boulder. Okay, you want to feel like it's going already and you are like sprinting behind it." — Jennifer Smith

Why Scribe Ran PLG and Enterprise Sales Simultaneously From Day One

Conventional wisdom says pick PLG or enterprise sales. Jennifer did both from day one. She'd watched PLG-first companies wait too long to build sales teams and get caught in a painful transition. Running both motions in parallel gave Scribe faster feedback loops, more predictable revenue, and stronger growth.

Scribe's self-serve product was free and deliberately generous. Users who became dependent on it would come to Jennifer and ask to pay. 'They were like, we depend on this, and there's no kind of expectation for anything right now because you're free,' she recalled. That inbound demand birthed the self-serve paid tier organically — no sales motion required.

On the enterprise side, Jennifer's lesson was to never let a long maybe drag on. 'A long maybe will kill you,' she warned. When major banks asked for pricing on 100,000-seat contracts, she told her sales team to walk away. 'I want repeatability, not a big whale hunt.' The dual motion — free self-serve plus enterprise sales — was considered crazy by most advisors. Jennifer's counterargument was first principles: 'I actually have a logical argument for why we aren't the typical construct for how people would think about this.'

"Most people told me I was crazy and wrong for doing it that way. We built out sales earlier than other PLG companies did... I think one of the very common mistakes many of them made is they waited way too long to build out sales." — Jennifer Smith

"I don't care. What I'm trying to do is create value for the world right now. And you know what? If you use Scribes for free, you never pay me a dime. You're still valuable to me." — Jennifer Smith

• Free tier kept generous to maximize reach and word-of-mouth growth.
• Enterprise customers never started on the free plan — clear plan differentiation existed early.
• Viral loop: Scribes are always created to be shared, driving organic user acquisition.
• Sales built earlier than typical PLG companies to avoid a painful late-stage whiplash.
• Big whale deals deprioritized in favor of repeatable, scalable smaller contracts.

How Jennifer Smith Hires for Excellence: The Free Mentorship Method

Jennifer interviews nearly every Scribe hire and spends 75% of her time on recruiting. Before opening a role, she spends quarters meeting people who already excel in that function — turning exec interviews into free mentorship and building a calibrated mental model of what great looks like before she has to hire for it.

Jennifer's hiring philosophy is rooted in pattern recognition built before urgency strikes. 'If I knew I was going to be hiring for that, like two or three quarters down the line, I would spend the previous two or three quarters trying to meet people who were examples of excellent,' she explained. The insight those meetings produce is dual: content about what functional excellence looks like, and behavioral data on how excellent people think.

Her gut-feel litmus test is consistent across co-founder selection, executive hiring, and individual contributors: 'Do I want to give you a problem after this? Am I like, oh, I wish this person were here right now and I could just hand this problem and they could run with it?' Jennifer met 80+ candidates before selecting her co-founder Aaron, and applies the same rigor — if lighter on spreadsheets — to every senior hire today.

"You basically sit down with someone who's walked the journey you're about to try to go do and I would basically be like, okay, what advice do you have for me? Tell me your scars. And what you find is, seventy-five to ninety percent of the time, the person's like, oh my God, I'm so glad you asked me." — Jennifer Smith

"I'm just always looking for this gut feel of specialness in somebody. And it's someone you look at and you're like, I just believe that you will run through a wall to figure this out." — Jennifer Smith

PLG-Only vs. PLG + Enterprise (Scribe's Approach)