How Cluely Hit $7M ARR in 3 Months Using 700 TikTok Creators
Cluely is the fastest-growing SaaS story of the past year. The AI-powered tool went from launch to $7M ARR in roughly three months, raised $15M from Andreessen Horowitz, and hit a $120M valuation before most startups have finished their seed round.
They didn't do it with paid ads. They did it with TikTok creators. Hundreds of them.
Here's the full breakdown of how Cluely built a content machine that generated over 100 million views, and what any founder can learn from their approach.
The Clipper Army: 700 Creators, One Goal
Cluely's core distribution strategy was what they call a "clipper army." They recruited over 700 people whose only job was to take Cluely content, chop it into short-form clips, and repost those clips across TikTok, Instagram Reels, YouTube Shorts, and X.
These weren't traditional influencers. Most were young creators in Eastern Europe, found by scrolling TikTok and DMing anyone who posted decent short-form content. The process was simple: find someone who can edit video, send them raw content, pay them based on performance.
The payment model was purely performance-based. No base salary, no flat fees. Clippers earned a fixed bonus per thousand views generated. This meant Cluely only paid for results, and the best clippers self-selected by producing the most views.
The numbers tell the story: roughly 1% of clippers drove the vast majority of views. Cluely identified that top 1% and paid them more to scale their output. The other 99% either improved or dropped off naturally.
The UGC Creator Program: 100 Creators on 30-Day Trials
Alongside the clipper army, Cluely built a separate UGC creator program led by Dris Elamri, an 18-year-old who became the face of their growth strategy.
The program worked on 30-day performance trials. Creators had milestone requirements to stay in the program. If they didn't hit their numbers, they were rotated out. This created a natural quality filter without requiring complex evaluation.
About 60 contractors were producing content at any given time, with around 100 total creators cycling through the program.
The formula was brutally simple: make 100 different videos. One goes viral. Repost that viral video across 100 accounts. 20-30 of those reposts go viral too.
Within the first week of launching this approach, Cluely hit 4 million views using accounts with zero prior followers. Dris Elamri's videos alone have been seen over 220 million times and generated more than $125,000 in direct revenue.
The Numbers
The results speak for themselves:
- $3M ARR within 3 months of launch
- $7M ARR one week later
- $15M raised from a16z
- $120M valuation in 3 months
- 100M+ cumulative views from the creator program
- 38% week-over-week increase in branded searches
- A public company doubled its annual contract with Cluely to $2.5M
Why This Worked (And Why Most Brands Can't Replicate It)
Three factors made Cluely's approach work:
1. Controversy as content fuel. Cluely's product is designed to help people cheat on tests, interviews, and meetings. That positioning is inherently controversial, which makes it inherently shareable. Every piece of content sparked debate, which drove engagement, which drove algorithmic distribution.
2. Volume over quality. Most brands spend weeks perfecting a single piece of content. Cluely published hundreds of variations per week. They accepted that most would fail and optimized for finding the 1% that worked.
3. Performance-based economics. By paying only for views generated, Cluely aligned creator incentives perfectly. Bad creators cost nothing. Great creators got paid more and produced more. The system was self-optimizing.
The Part Nobody Talks About: Tracking
Here's the question that should be obvious but rarely gets asked: how do you actually manage 700 clippers and 100 UGC creators?
You can't check 800 TikTok profiles manually. You can't scroll through thousands of videos to see which ones performed. You can't calculate engagement rates across hundreds of accounts by hand.
At this scale, the tracking system is as important as the content strategy. Without per-post, per-creator analytics updated daily, you have no way to:
- Identify which clippers are in the top 1% (and pay them more)
- Cut underperforming creators before wasting a full 30-day trial
- Spot which video formats are working across accounts
- Calculate actual CPM and ROI per creator
- Report results to investors and stakeholders
The content strategy gets all the attention. But the tracking infrastructure is what makes it scalable.
What You Can Take From This
You don't need 700 clippers to apply Cluely's principles. The core framework works at any scale:
Start with volume. Post more content across more accounts. Test different hooks, formats, and angles. Most will fail. That's the point.
Pay for performance. Whether you're working with 5 creators or 500, tie compensation to results. Views, engagement, or conversions. This self-selects for quality.
Track everything. Per-post, per-creator analytics are the foundation. You can't double down on what works if you don't know what's working.
Rotate ruthlessly. Not every creator will perform. Set clear benchmarks, review regularly, and rotate out underperformers. The best programs are constantly evolving.
If you're running a TikTok creator program at any scale and want to track per-post performance across your entire roster, tools like rostr make this simple. Paste usernames, see analytics, identify your top performers. That's the tracking layer that makes the content engine actually work.
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