jenni.ai's Cold Start and Growth Strategy

Jenni.ai is an AI tool aimed at academic writing: at its core are an AI autocomplete optimized for academic tone, a literature library where you can upload papers, and a citation system supporting 1700+ citation formats—with the central pitch that “every claim can be traced back to its source.” It was founded by David Park and Henry Mao, who met at the University of California, San Diego (UCSD). As of the time of these notes, Jenni has reached $5M ARR with 2.5M users and is still growing rapidly, and David expects it to reach $10M~20M ARR. He has very candidly shared their revenue and user growth strategies, and there’s a lot worth learning from.

Jenni.ai's product interface
Jenni.ai’s product interface: on the left is the literature library, in the middle you write your paper, autocomplete kicks in and inserts sourced citations, and on the right is the AI chat.

It’s worth noting that Jenni didn’t start out in academic writing. Initially they targeted content agencies and SEO writers, but the technology at the time could only deliver limited efficiency gains; customers were price-sensitive and churn was high, so the business was basically on its last legs. After repeated struggles, they made a pivotal turn—cutting most of the marketing-oriented features and rebuilding the product into an academic writing assistant focused on students and researchers. In hindsight, narrowing the scope down to the group of people “willing to pay for precise features” was the turning point of the whole story.

The ARR Growth Curve

Like most consumer products, the early cold start was extremely hard: going from 0 to $4M ARR took a full 1678 days, while the later stage was essentially exponential growth.

ARRdays
0 to $500k1216
$500k to $1M186
$1M to $1.5M62
$1.5M to $2M60
$2M to $2.5M43
$2.5M to $3M24
$3M to $3.5M57
$3.5M to $4M30
Jenni.ai's ARR growth curve
Plot the table above as a curve and you get a classic “cold start + exponential takeoff”: reaching just the first $0.5M took 1216 days, while the remaining $3.5M took only 462 days.

Just looking at this curve, you can feel how grueling the cold start was. During those hardest days, David made cold calls 8 hours a day, with a rejection rate as high as 99%, and was so broke he had to borrow his mom’s credit card to buy Chipotle. Anyone who could endure these 1216 days has already filtered out more than half the field.

The Six-Stage Growth Strategy

Growth can be roughly divided into the following stages.

Cold calling (0–$5000 ARR)

Making calls one by one—similar to cold email but not quite the same—requires a very strong mindset; the upside is you can communicate with users directly and in real time. David’s script was “I’m a student of xxx, and I’d like to ask you about xxx.” As mentioned, this stage was truly grueling—8 hours a day, 99% rejection. But cold calling doesn’t scale, and beyond a certain point (around $5000 ARR) you need to upgrade to a new growth strategy.

Facebook groups ($5000–$30000 ARR)

Infiltrate the groups of your target users and work hard to become a core member, then talk with them and iterate on your MVP. If you do it well enough, they’ll spontaneously promote you (and if they don’t, that means you haven’t done it well enough). In the end you’ll get a batch of users willing to give you feedback, and a decent product.

Exploring growth momentum ($30000–$120000 ARR)

With the foundation from the first two steps, the product can basically meet market demand, and the next step is to find a breakout point through various channels. The channels David used include:

  • paid ads
  • influencer marketing
  • partnering with other products, sponsoring school clubs, and so on

The key point is: before pouring heavy money into a channel, explore it cheaply first (You need to explore before you can exploit). After broad exploration, you’ll most likely stumble onto a breakout point—for David, it was a July 2022 tweet from tech blogger Zain Kahn: he included Jenni in a list of “free productivity tools,” and it went viral instantly with hundreds of thousands of interactions, directly crashing the servers, and MRR grew 4x that month. This is a lot like making short videos: keep adjusting and expanding your exposure surface, and you’ll most likely eventually hit that breakout point.

Social media marketing ($120000–$600000 ARR)

After tasting the terrifying growth that one influencer tweet brought, David decided to bet heavily on social media, focusing on short video (TikTok). There’s a very clever play here: rather than seeking out big-follower influencers, they partnered with creators to batch-launch a set of vertical accounts that “only post about Jenni, this one product”, exploiting the platform’s algorithm that “values engagement over follower count”—even new accounts can produce hits. The content was also extremely simple: a student near their deadline discovers Jenni and finishes their paper in a few moves. This kind of video racked up hundreds of millions of cumulative views across TikTok / Instagram / YouTube.

Finding other channels at the bottleneck ($600000–$1740000 ARR)

TikTok growth also hits a bottleneck at a certain stage, and David chose to shift to other channels:

  • an invite system
  • more influencer marketing
  • doing SEO seriously
  • paid ads

Strengthening the funnel and focusing on internal metrics ($1740000–$3000000 ARR)

When external exposure reaches a certain magnitude, it’s time to find growth points in your internal metrics:

  • conversion rate (free users → paid users)
  • retention rate (how long users stay)
  • the growth loop (existing users bringing in new users)

They watched these metrics from the start; it’s just that now they began optimizing them more seriously, and the conversion rate improved by nearly threefold:

  • before optimization: 241700 new users → $26000 MRR
  • after optimization: 152300 new users → $48000 MRR

What Happened Afterward

This note was written in early 2024. Jenni’s story continued afterward: 15 months after pivoting to academic writing, it reached around $1.2M in revenue and 1.6M users; ARR grew from ~$1.8M in 2023 to ~$8M in 2024, broke through $10M in early 2025, and the company was valued at around $25M—with a team of just 9 people.

A few things I think are most worth noting down:

  • Narrow first, then grow. Narrowing from “any kind of writing” to “academic writing” is precisely what found the people genuinely willing to pay. The narrower the scope, the easier it is to make features that truly resonate.
  • Explore first, then go all-in (explore before exploit). Cast a wide net cheaply to test channels, and only pour in heavy money after hitting a breakout point.
  • Keep your distribution channels in your own hands. Rather than begging big influencers, batch-launch vertical accounts—when the growth engine is your own, it’s stable.

References