Nevo built Postiz as a traditional social media scheduling tool supporting 30+ platforms. He spent a year and a half growing it slowly to $21K MRR, where users manually logged in, wrote posts, and scheduled them. Churn hovered around 26–28% because the daily manual work meant users would drop off when they stopped posting. It was steady but not explosive.

• Build a multi-platform scheduler with a public API from day one
• Support as many social channels as possible to maximize addressable market
• Track churn and usage patterns to understand where users fall off

A user named Oliver Henry posted an X article showing how he made money on TikTok 100% automatically using OpenClaw and Postiz. The post hit 7.2 million views. Nevo woke up to 700 concurrent daily trials — non-stop. He realized X was pushing articles hard (more time-on-site than regular posts) and that the OpenClaw hype was peaking, so anyone writing about it got massive distribution to interested early adopters.

• Watch for users posting about your product in trending contexts and amplify them
• Write your own article on the same trend (Nevo wrote one with 200 followers and got 500K views)
• Reverse-engineer viral posts: click 'View activity' to find who's engaging, then DM influencers for paid reposts
• Time your content to ride platform algorithm changes (X was boosting articles at the time)

Nevo didn't stop at one viral post. He wrote more articles about OpenClaw + Postiz, then paid 20+ influencers ($60–$350 each) to repost them as promoted content on X. Each article got 500K–1.5M views. He targeted accounts already getting traction in the agentic/AI space, ensuring his content hit the exact audience building with agents. This compounding distribution kept trials flowing and MRR climbing daily.

• Identify influencers in your niche by checking 'View activity' on viral posts in your space
• Book paid reposts (with proper disclosure) for $60–$350 per influencer
• Write multiple articles on the same trend from different angles to maximize reach
• Focus on platforms favoring your content format (X was pushing articles over regular posts)

Nevo created an MCP (Model Context Protocol) file documenting Postiz's public API and listed it in the Claude and ChatGPT plugin/tool marketplaces. This made Postiz discoverable to AI agents and developers building agentic workflows. When someone told an agent "schedule my social posts," the LLM could now find and recommend Postiz. This drove organic trial signups from the AI-native audience without additional marketing spend.

• Document your entire public API in an MCP or markdown file optimized for LLMs
• List your API/tool in every agent marketplace (Claude, ChatGPT, etc.)
• Build the integration *before* the trend peaks so you're ready when discovery happens
• Make your API reliable and well-documented — agents will choose the tools that work

The pivot to agentic SaaS had an unexpected benefit: churn collapsed. Before, users had to log in daily, write posts, and schedule manually — so when they got busy or lost motivation, they churned. Now, users set up an agent once (feed it a content source, connect Postiz) and it posts automatically every day. No human intervention = no decision to stop. Retention improved dramatically, compounding MRR growth.

• Identify the manual, repetitive task causing churn in your SaaS
• Automate that task with agents so users don't have to "decide" to use your product daily
• Measure churn before and after automation to prove the impact
• Communicate the automation benefit in onboarding so users set it up correctly

As MRR hit $100K+, Nevo made a counterintuitive call: he stopped shipping new features. With 30 social platforms integrated, every new feature risked breaking something. He realized agents and users would choose the tool that *never breaks* over the one with the most features. So he froze feature work, hired a developer and support person, and spent all cycles on stability and bug fixes. The result: a rock-solid product agents could trust.

• Audit your product for reliability issues and prioritize fixes over new features
• Hire support and dev help as soon as revenue allows to maintain quality at scale
• Communicate reliability as a competitive advantage, especially in agent-driven markets
• Test integrations obsessively — every broken channel is lost revenue