Postiz: 12 Questions Answered From the Starter Story Interview, With Timestamps
Postiz is a social media scheduler that its founder rebuilt so that AI agents, not people, do the scheduling. In this follow-up Starter Story episode, founder Nevo reports growing from about $17,000 at his first Starter Story recording (about $21,000 just before the pivot) to $143,000 in monthly recurring revenue in four months, after an article by another creator about running his marketing on autopilot with an agent tool and Postiz went viral on X. He then turned that luck into a channel: his own long articles on X, boosted by paid reposts from influencers.
We transcribed the interview with transcribe.so and asked it the same questions we ask every episode. Each answer below is written in our own words and points to who said it and the exact second, so you can check it in the video. All figures are self-reported and we have not audited them. We are not affiliated with Starter Story, and we sell a transcription service.
This is the second Starter Story episode with Nevo. The first, recorded about five months earlier (Host, 00:07), is about marketing an open-source product: Postiz's open-source playbook, answered.
| Who is speaking | Role |
|---|---|
| Nevo, founder of Postiz | Answers the questions |
| Starter Story hosts | Two of them: one opens the story and asks several questions, the other asks the rest; both reflect at the end |
What does Postiz do now, and how does it make money?
Postiz used to be a social media scheduling tool that posts to more than 30 platforms, and the founder pivoted the whole product into an agent-driven scheduler (Founder, 01:52). Instead of opening the app and clicking schedule, users ask an AI agent to do it, and the agent uses Postiz underneath (Founder, 02:11). It makes money from paid subscriptions. This episode does not go through the plans or prices; the earlier episode does.
What numbers does the founder share?
$143,000 in MRR on his revenue dashboard, up from around $17,000 at the time of the first recording, with 4,271 subscribers (Founder, 02:28). Since the switch to agents, churn on paid plans fell to 13.7%, from readings of 26% and 28% earlier on the same chart (Founder, 02:46). One host reads the founder's monthly posts on X: $41,000 in February, $76,000 in March, $80,000 in April, $109,000 in May and $140,000 by late June (Host, 00:28).
What changed between $17,000 and $143,000 a month, and what part did the pivot to an agent-driven product play?
The founder says it took a year and a half to reach $21,000 in MRR, then this:
"then in four months, it skyrocketed to 143k, growing by around 1k MRR every day" (Founder, 01:21)
The pivot came first. When a developer released a popular open-source AI agent tool, the founder, who calls himself a hype guy, leaned in and made Postiz ready for agents (Founder, 03:19). That readiness is what let a stranger's viral article send users his way, covered in the next answer. Since then he has kept adding agent features (Founder, 04:09).
Which single piece of content moved the numbers most?
Not his own. Days after the pivot, a creator on X wrote that he ran his app's TikTok marketing fully automatically with that agent tool and Postiz. That article got 7.2 million views and brought Postiz about 700 trials a day, every day (Founder, 03:41). A second article from the same creator got about 1.5 million views, and MRR grew every day after it (Founder, 04:09).
How did the founder turn one viral article into a repeatable channel?
He copied the format. With 200 followers on X, he wrote his own article about using the agent tool with Postiz (Founder, 05:28) and got half a million views. His reading of why:
"X started to become an interest platform" (Founder, 05:38)
In his view, X shows a post to the people who follow a topic, not only to your followers, and the agent topic was booming there. A second article also got about half a million views, and he concluded X was pushing long articles because people spend more time reading them than short posts (Founder, 06:06).
How did the founder use paid influencer reposts, and what did they cost?
To scale the articles, he looked at who was spreading other companies' viral posts, and influencers soon messaged him offering paid promotion reposts, marked with the platform's paid promotion tag. Each new article now goes out with about 20 accounts reposting it (Founder, 06:33). He books an influencer for a quote repost at $60 to $350 (Founder, 09:02) and says that is not cheap at scale (Founder, 09:22).
Why did the agent pivot lower churn?
Before, users had to come back every day, write each post and edit it with AI help, which took time. Now they hand an agent a source of content and get a week of posts back (Founder, 08:01). A host adds his own reading: churn usually happens when a person stops doing the task, and an agent does not stop (Host, 08:32). He also notes the agent market is still small and full of early adopters, not a mass audience (Founder, 07:55).
What is the start-over playbook for riding a trend like this?
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Give agents a way in. Most software should have an API; turn the public API docs into a single file written for agents (Founder, 07:10).
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List that file everywhere, including the AI assistants' marketplaces. He says this alone brought a lot of traffic (Founder, 07:29).
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Be ready before the wave.
"you should build before, and then wait for the trend to happen, and not build when the trend happens" (Founder, 07:29)
How has running the business changed?
More money means more marketing, such as the paid reposts above (Founder, 09:02), and his first hires. At around $17,000 in MRR he could not hire anyone; now he has hired two people, one for support and one for development (Founder, 09:22). This episode gives no other costs and no margins.
What is the founder's advice?
Make the app reliable. He stopped building new features because each one brings bugs, and all 30 social channels have to work before anything new ships (Founder, 09:59).
"the apps that are going to win are the one that just like don't break" (Founder, 09:59)
A host connects this to agents: they will learn which tools are reliable and which are not (Host, 10:27).
What does the founder expect next for agent-driven software?
He is waiting for agents to complete purchases on their own. Today a human still has to finish a checkout page, and he expects to make a lot more once that step goes away (Founder, 10:47).
What did the hosts take away?
The host who first spotted the story admits he watched those articles go viral, thought about writing one, and never did (Host, 12:26); in his view the usual reason a result like this does not happen is that people do not try (Host, 12:38). The other host says the agent features alone were not the story: the founder did more marketing than building (Host, 13:06), and he already had a product that solved a real problem.
"that vehicle would have had no gas in it" (Host, 13:33)
He adds that being one of the first tools agents get recommended for could be worth far more later, though nobody knows yet (Host, 15:01).
This episode does not cover how the founder chose his prices, what the product costs to run, or what went wrong along the way. The earlier interview covers pricing tiers, the tool bill and margins.
What to copy
- Have a working product before the trend arrives. The pivot paid off because there was already a tool with real users for agents to plug into.
- When someone else's post sends you traffic, study the format and publish your own. He went from one lucky article to a channel he controls.
- Treat reliability as a growth feature when software, not people, picks the tools. An agent that hits a broken integration simply moves on.
More from this series: agents as a distribution channel for SaaS, the first Postiz episode, on open-source marketing, every Starter Story episode answered, and our free YouTube transcript tool if you want to run the same questions on any interview.