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Lee Stuart
Lee Stuart

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How I Hacked My SaaS Marketing Workflow


I didn’t expect this to happen. A few months ago, I was stuck in a loop that most indie hackers and solo devs know too well: spending 80% of my time building the product, and then realizing I had no idea how to get people to see it.

We all know short-form video is the meta right now. But as a developer, the pressure to make marketing content feel “real” and native is exhausting. If it doesn’t feel authentic, people scroll past. So I decided to stop treating marketing like a creative black box and started treating it like a system—rethinking my workflow so I could spend less time in front of a camera and more time in my IDE.

The Real Problem With “Authentic” Ads for Solo Devs

We all talk about authenticity, but in practice, it doesn’t scale. You either hire creators (kills your bootstrapped budget), film yourself endlessly (drains your coding energy), or repurpose content that doesn’t quite fit.

I remember reading a Nielsen report stating that 92% of consumers trust user-generated content (UGC) more than traditional advertising. That insight stuck with me. Most SaaS ads today are either boring screencasts or over-scripted corporate videos. The real question for an indie dev is: how do you scale that authentic, conversational UGC feel without killing your development time?

My Shift: Thinking Like an Engineer, Not a Marketer

This changed everything for me. Instead of starting with “What feature should I highlight?”, I started thinking in terms of variables and A/B testing. I asked, “What would a real user casually say about this tool in 15 seconds?”

I spent time studying the TikTok Creative Center and realized the algorithm favors structure (hooks, micro-storytelling) over high-production polish. That shift pushed me to build a simpler pipeline: less scripting, more natural flow, and faster iteration.

Where AI Quietly Slipped Into My Stack

I was honestly skeptical of AI for marketing at first. Most raw LLM outputs I tried (like standard ChatGPT prompts) felt incredibly “template-y.” You could tell immediately that a bot wrote it, lacking the human rhythm that makes UGC work.

Still, I needed to automate the inputs. During one of my late-night API and tool-hunting sessions, I started testing a dedicated AI UGC Ad Generator—not to replace me in the video (AI avatars still look too uncanny for me), but as a starting point to generate the blueprint. What surprised me wasn't the raw output, but how much it reduced context-switching. Instead of staring at a blank notion page, I suddenly had a JSON-like structure of multiple hooks, tones, and ad directions to parse through.

The Lightweight Tool That Stuck

I don’t usually add new tools to my stack lightly because most are bloated. But during this testing phase, I integrated something from Nextify.ai into my workflow.

What I appreciated as a dev was how lightweight it felt. There was no complicated setup. I use it basically as an endpoint for brainstorming: I feed it my SaaS features when I’m stuck, and it spits out rough UGC ad concepts. Not every output is perfect—I discard about 80% of them—but the remaining 20% give me the exact hooks I need to hit record without overthinking. It removes the initial friction.

The "Code-to-Ad" Pipeline I Use Now

If you’re a solo dev trying to get eyes on your project using short-form video, here’s the simple SOP (Standard Operating Procedure) I follow to keep my marketing time under two hours a week:

  1. Batch Generation: Use the AI tool to generate 5-10 rough hooks without judging them.
  2. The Output Filter: Pick the best one and "humanize" it by reading it out loud. If it sounds like an AI prompt, rewrite it until it sounds like how you'd talk on a Discord call.
  3. Add Context: Inject a micro-story (e.g., "I built this because I hated doing X...").
  4. Soft Exit: Avoid hard selling. Let the product feel like a cool GitHub repo they just stumbled upon, rather than a forced enterprise pitch.

Final Thoughts

I didn’t fully automate my marketing workflow—I just debugged the parts that slowed me down. AI didn’t replace the need for a founder to talk about their product; it just gave me a framework to do it faster.

For us indie developers, the goal isn't necessarily smarter marketing tools, but faster iteration and less friction. If you’re feeling stuck getting users for your app, try re-engineering your content process before tweaking your landing page again. Sometimes, that alone makes all the difference.

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