We 3x'd MRR in One Month.

Hey hey!

Ford here.

June was the most important month in Runway's history! We balled out. We went from $3,500 in MRR to over $10,000 in MRR in a single month. $30,000 in total sales. 50,341 users on the platform, growing at 37.8% month over month.

But the number is not the story. The story is how it happened, because I think the playbook is transferable to almost any consumer product with a passionate user base.

The ceiling we were approaching

For the first ten months of building Runway, growth came almost entirely from my personal social media audience. 235,000 followers on LinkedIn, 115,000 on Instagram, 15,000 on TikTok. That audience gave us our first 40,000 users and proved the product worked.

But an audience built around one person has a ceiling. I can only post so much. My reach only extends so far. And the moment I stopped posting consistently, growth slowed. Everything depended on me showing up every day, which meant the distribution was fragile.

The question I kept coming back to: how do you replicate the authenticity and trust of a founder talking about their own product, at scale, without it depending on you?

The UGC unlock

The answer was user-generated content, but not the version most people think of when they hear that term.

We are not paying influencers. We are not running a referral program with discount codes. We recruited approximately 50 college students who are actively using Runway to find jobs and structured a model where they post content about their experience on social media every single day, Monday through Friday.

Each creator averages around 10,000 views per week. 50 creators times 10,000 views is 500,000 views every week, consistently, from people who are not me, reaching audiences I cannot reach. Some creators have driven 700 signups in a single week from their posts alone.

The key variable is that the creators are real users talking about a real problem they are living through. A junior at a state school posting about how she got an interview at Goldman because she found a platform that matched her to roles she was actually qualified for is not a sponsored post. It is a testimonial from someone her followers trust because she is one of them. That credibility cannot be manufactured.

The exact model and economics

Here is the structure we built, because the details matter.

We pay each creator $25 per week for their posts plus $0.25 for every new user they drive to sign up on Runway. Most creators are generating well over 100 signups per week. The time commitment is about two to three hours of work. That works out to roughly $20 an hour for the creator, which is a genuinely good wage for a college student, which is why the acceptance rate is high and the quality of effort is real.

The economics on our end: $7 average customer acquisition cost. $14 average revenue per user back immediately. Payback period of zero. $50 LTV. We are 7x-ing our LTV to CAC ratio on every creator-driven acquisition.

We also have all 50 creators engage on each other's content. When 50 people comment on one post, the algorithm treats it as high-engagement content and distributes it further. The daily posting Monday through Friday compounds over time as each creator builds their own audience and their content history deepens.

How we find and hire creators

We did not go looking for influencers. We posted a job listing online and let students come to us.

We get about 300 applicants every two weeks for the creator role. We send application invites to roughly half of them, about 150. Around 75 fill out the full application. We interview about 30. We invite about 20 to take the role. About 10 accept.

We started this on May 18th and have been adding a new cohort of creators every two weeks since then. We are now at 50 total. The funnel runs continuously, which means the creator base grows on a predictable cadence without us having to go hunt for talent.

Why this works when influencer marketing usually does not

Most founders who try influencer marketing get burned. They pay someone with a big audience to talk about their product, there is a small spike, and then nothing.

This model is different for three reasons.

The creator and the audience share the exact same problem. Our creators are college students posting to audiences of college students who are also job searching. There is no gap between who is talking and who is listening. That shared context makes the content feel like advice from a peer rather than a promotion from a stranger.

The economics are structured around outcomes, not reach. We did not go find creators with the biggest followings. We found students with genuine results and audiences in the right communities. 10,000 engaged views from the right people converts better than a million passive impressions from the wrong ones.

The engagement flywheel amplifies everything. 50 creators commenting on each other's posts every day is not fake engagement. It is a community of people who actually use the same product, talking to each other and to their audiences simultaneously. The algorithm rewards it because the engagement is real.

The part most people will skip and why that kills the model

I want to be honest about something before you try to copy this, because the structure alone will not work.

This model runs because I am deeply involved in the content every single day. I hold office hours once a day for an hour where any creator can hop on and get coaching on their posts. I review and approve every single post before it goes live. That is about 250 posts per week. I give written feedback on each one.

I have been posting on social media for three years. I know how LinkedIn, Instagram, and TikTok each work, what hooks perform, what formats convert, what kills engagement. I know which content drives signups specifically because I have tested it myself and converted over 40,000 users through my own posts. That knowledge is what I am transferring to 50 creators every week.

If the content is bad, the model fails. Bad content does not convert. Bad hooks do not stop the scroll. Generic posts from students who are not getting real coaching produce generic results. The UGC engine is only as good as the quality of what gets posted, and quality does not happen without someone who knows what good looks like holding the standard on every single piece.

The honest version of this playbook is not "find creators, pay them, watch it scale." It is "find creators, spend an hour a day coaching them, review every single post they make, and apply everything you know about what actually converts." That is the level it takes to make this work.

If you do not have deep personal expertise in content and are not willing to be that involved, the model will not perform the way ours has. The structure is transferable. The execution requires a skill set that took me years to build.

What this means for any founder building a consumer product

The playbook generalizes to any business where your customer and your creator are the same person, and where you have genuine expertise in the content channel you are using.

If the person using your product has an audience that shares their exact problem, you have a UGC engine waiting to be activated. You do not need influencers with massive followings. You need real users with real results, real communities, and a founder who knows the content well enough to coach every creator to their best work.

Most consumer products have users like this. Most founders are not involved enough to activate them properly.

The numbers as of today

50,341 total users. 37.8% month over month growth. 469 new users today. 1,483 this week. 2,246 paying subscribers. $10,613 MRR. $127,361 ARR.

We are profitable on every customer from day one. The renewal base compounds under new acquisition every month. All we need to do is keep adding creators, and the model funds itself (until we hit the next roadblock).

June told us we found the engine. The question now is how fast we can scale it without breaking what makes it work.

Hit reply and tell me: do you have users in your business who share their exact problem with their audience? I am curious whether this model could work for what you are building.

Keep progressing,

Ford Coleman 
Founder & CEO, Runway

P.S. If you know a founder who is stuck on distribution and has not tried activating their best users as creators, send this their way. It is the most underrated channel in consumer right now.