SaaS launch and distribution: how to get your first users as a startup founder

Paul Graham's essay "Do Things That Don't Scale" remains the clearest articulation of this idea: in the earliest stage, you personally recruit users one by one, often through direct outreach, cold DMs, or in-person conversations. This isn't glamorous, and it doesn't scale, but it's how nearly every well-known B2B SaaS company got its first real signal. The goal isn't volume. It's a tight feedback loop between "who has this problem" and "does my product solve it well enough that they'd be upset if I took it away."

A practical version of this for a solo founder: identify 100 specific people or companies who plausibly have the problem, message them individually (not a mail-merge blast), and treat every "no" as data about your positioning, not a rejection to shrug off.

Reddit disclosed more than 500 million monthly active users in its 2024 IPO filing (S-1 registration statement), spread across tens of thousands of active subreddits, many of them built around specific professional problems, tools, or industries. That density of niche, high-intent communities is unusual. A subreddit for freelance designers, indie SaaS builders, or a specific programming language is a room full of people already discussing the exact problem you built for.

The mistake founders make on Reddit is posting a launch announcement and leaving. Reddit users are quick to downvote anything that reads as an ad, and self-promotional posts routinely get removed by moderators. What works instead:

Content is the slowest channel to pay off and the most durable once it does. A blog post that ranks on Google or gets cited by an AI answer engine keeps bringing in visitors long after you've stopped thinking about it, unlike a cold email that produces one reply and then nothing.

The landscape has changed here in a way most founders haven't fully registered. Buyers now ask ChatGPT, Claude, or Google's AI Overviews "what's the best tool for X" instead of typing a search query and scanning ten blue links. If a competitor's content is structured to get cited in those answers and yours isn't, you lose the buyer before they ever see your homepage. This is generative engine optimization (GEO): writing and structuring content specifically so AI answer engines can extract, trust, and cite it, as distinct from traditional SEO, which optimizes for ranking in classic search results. The two overlap heavily but aren't identical; a page can rank on Google without ever being cited by an AI model, and vice versa.

Getting cited by these tools generally requires the same fundamentals as good SEO (clear structure, specific claims, real expertise) plus a few GEO-specific habits: answering the question directly in the first sentence, defining terms explicitly, and citing real data rather than vague claims. This is a real gap for founders who don't have time to become SEO specialists on top of everything else, and it's one reason a handful of tools have started building content and audit features specifically around it. Geograph, for example, audits content against GEO fundamentals and helps draft pages structured to be citable by AI answer engines, which is useful when you don't have a specialist to check that work.

These are useful for one thing: a concentrated day of attention and early feedback, plus a backlink and some social proof if you place well. They are not a distribution strategy on their own. Treat a Product Hunt launch as a single data point and traffic spike, not the plan.

Paid ads before you understand your funnel is usually the fastest way to burn a small budget for no learning. Ads are a multiplier: they amplify what's already converting. If you don't yet know your activation rate or what messaging actually lands, ads just amplify the guessing.

For a founder with no audience and no budget, a rough sequence that has worked repeatedly across early-stage SaaS companies:

The founders who get their first 100 users aren't the ones with the best launch day. They're the ones who spent the weeks before and after launch doing something unglamorous: reading through niche communities, replying to strangers with real problems, and writing down what those strangers actually said in their own words. That raw material becomes your content, your positioning, and eventually the case studies that make the next 1,000 users easier to find. If you're a solo founder trying to do all of that manually while also shipping product, that's the specific gap worth automating first, not the launch itself.