An AI Marketing Tool Hit $30K MRR by Automating Reddit Outreach and Content Distribution
A credit based AI marketing platform grew to $30K MRR by helping B2B companies automate posting and commenting on Reddit at scale.
The Strategy
Most B2B companies know Reddit drives real buying intent, but nobody has time to post consistently, comment thoughtfully, and nurture leads across dozens of subreddits. The manual effort required to make Reddit work as a marketing channel is enormous relative to the return, which is why most teams abandon it after a few weeks. An AI marketing tool called Leadmore AI solved this by automating the entire Reddit workflow. Users purchase credits that power automated posting, commenting, and engagement across relevant subreddits. The system handles content generation, scheduling, and follow up so marketing teams can run Reddit as a scalable channel without dedicating headcount to it. Richard Wang built it after spending three months validating the idea through 50 to 100 customer conversations before writing a single line of code. The growth strategy mirrors the product itself. Instead of running paid ads, the team creates industry specific content on Reddit, engages with interested users directly in comments, and funnels prospects into private communities for deeper relationship building. Unused credits are refundable at any time, which reduces purchase friction and builds trust. The tech stack is built for performance. Next.js handles the frontend, Go with Gin powers the backend APIs, MongoDB stores business data, and ClickHouse runs analytics workloads. The entire system runs serverless to keep infrastructure costs low while scaling.
How It Works
Validate the product idea by spending one to three months doing user research. Have 50 to 100 customer conversations before building anything.
Share product demos and ideas on social platforms to gauge interest before committing to development.
Build a minimal MVP with just one core feature and ship it within one to two weeks. Do not build three features when one is enough to test the market.
Set up a credit based pricing model where users purchase credits for actions like posting and commenting on Reddit. Make unused credits refundable to reduce friction.
Build the frontend with Next.js as a full stack framework. Use Go with Gin for high performance backend API processing.
Store business data in MongoDB and run analytics workloads on ClickHouse for fast query performance at scale.
Deploy serverless using Function Compute for background task processing to keep costs variable with usage.
Drive growth through operations and content. Create industry specific content on Reddit, engage with users in comments, and invite engaged prospects into private communities.
Focus the revenue formula on new users multiplied by conversion rate multiplied by retention rate. Prioritize retention above all else.
Resist the instinct to expand features when the team is small. Practice subtraction, not addition.
Results
Reached $30K MRR and growing quickly. Revenue driven entirely by organic content and community engagement with no paid advertising. Credit based model with refundable unused credits reduces churn risk. Product validated through extensive pre build customer research.
Our Take
We think the validation approach is the standout lesson here. Spending three months talking to 100 potential customers before writing code is the opposite of what most indie hackers do, and it clearly paid off. The credit based model with refundable unused credits is also a clever trust builder. It removes the risk for new users and signals confidence in the product's value. The limitation is that Reddit as a marketing channel is inherently noisy and the platform actively fights automated engagement. Best suited for B2B SaaS builders who want to see a disciplined approach to product validation and organic growth.
Related Strategies
More AI agent strategies you might find useful
Fully Autonomous Meta Ads Manager Built on OpenClaw
A fully autonomous Meta ads operation running on OpenClaw for $0 per month that …
SaaStr Replaced a 10 Person Sales Team With 20 AI Agents and 1.2 Humans
A sales team of 10 SDRs and AEs was replaced by 20 AI agents managed by 1.2 huma…
A LinkedIn Content Tool That Hit $62K MRR in Three Months
An AI LinkedIn content tool went from zero to $62K MRR in three months by solvin…
Want more strategies like this?
Get weekly AI agent case studies in your inbox.