Creatives Takeover

How to Find the First Users for a SaaS Startup

The first users rarely come from a polished launch alone. They come from showing up where the ICP already asks painful questions and offering a specific next step.

Last updated May 2026

Quick answer: first users for SaaS

Listen: Find problem threads
Search Reddit, X, LinkedIn, and niche groups for repeated complaints in the customer language.
Help: Answer before linking
Useful replies build trust faster than promotional posts.
Route: Send attention to one action
Do not send everyone to a generic homepage. Use an ICP, waitlist, demo, or specific guide.

Start in existing conversations

Search for the problem in Reddit, X, LinkedIn, Facebook groups, YouTube comments, and niche communities. The language people use there should shape your message.

Offer a useful diagnostic

Instead of saying 'try my product,' give a teardown, checklist, or decision tree. Then mention the tool only when it helps complete the step.

Track source to activation

Use UTM links and measure not just visits, but signups, ICP completions, waitlist publishes, and first return visits.

Founder checklist

  • Five communities where your ICP asks questions
  • Ten phrases customers use to describe pain
  • One helpful reply template
  • One activation link with UTM tracking
  • Weekly review of replies, clicks, and signups

Common questions

Where do SaaS startups find first users?
Often in niche communities, founder networks, search-driven content, direct outreach, waitlist campaigns, and problem-specific conversations.
Should I launch on Product Hunt first?
Only if it matches your audience and you already have a clear story. Many startups need niche conversations before broad launch platforms.
What should I measure when finding first users?
Measure replies, qualified clicks, signups, activation, usage, and whether users match the ICP you actually want.

Turn the answer into action

Build the ICP before choosing where to find the first users.

Clarify Who to Reach First

Keep learning