Founder stories
Source reports AutoShorts.ai reached $40K MRR on May 13 and about 75% profit margins with roughly $10K/month expenses.
AI faceless-video automation platform that generates, schedules, and auto-posts short-form videos to TikTok, YouTube, and Instagram for creators building faceless channels.
How Eric acquired customers
Tools used to build AutoShorts.ai
Eric Smith built AutoShorts.ai from a personal need for automated short-form videos, got the first paying subscriber on February 1, and reached $20K MRR by April 27 before the source reported $40K MRR on May 13.
AutoShorts.ai began as a founder-scratch-your-own-itch product, not as a broad AI media suite. The MRR Story profile says Eric Smith wanted a simple way to automate short-form faceless videos for his own use, so he built a quick MVP around the core loop: generate a script, create voiceover and footage, assemble the video, then schedule it for platforms like TikTok and YouTube.
The early validation was paid and visual. Eric got his first paying subscriber on February 1, then used targeted Facebook ads and product demos because the outcome was easy to understand: a text prompt could become a ready-to-post short video without filming, editing, or showing a face. By February 28, AutoShorts.ai had reached $1,000 MRR. By March 16 it was at $2,000 MRR, and by April 27 the source reports $20,000 MRR.
The larger growth loop came from the customer base itself. Many AutoShorts.ai users were YouTubers, TikTok creators, and people already comfortable publishing content. When those customers made videos showing how they built faceless channels, the product generated its own demonstrations. Eric leaned into that behavior with an affiliate program, turning creator output into a decentralized acquisition channel on top of the paid ads that started the flywheel.
The live AutoShorts.ai site still confirms the product promise: daily AI-generated faceless videos, auto-posting to TikTok, YouTube and Instagram, and a creator-facing workflow with 28,000+ faceless creators, 2.5M+ videos generated, and 800M+ views driven for creators. The research source reports $40K MRR by May 13, but the structured data uses conservative milestone boundaries: first customer, first $1K MRR, and first $10K MRR by the public $20K MRR date rather than inventing an exact lower-threshold crossing day.
A visual AI product can convert faster when prospects instantly see the before-and-after outcome.
Paid ads are easier to justify when the product demonstration is concrete and the first-value moment is obvious.
Creator customers can become the distribution channel if sharing their results naturally showcases the product.
Use conservative milestone encoding when a source reports higher MRR on a date but not the exact day a lower threshold was crossed.
You have the story. Make it actionable: what worked, what to copy, what to avoid, and which channel to test first.
$10K MRR
Paid Ads
Action checklist
Keep the story context as you continue.
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Eric achieved 3 milestones on the path to $10K MRR
$1,000
$20,000
The journey, decisions, and context behind this milestone
See the complete breakdown: launch strategy, validation methods, startup costs, expert analysis, replication playbook, and more actionable insights.
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