Find your first SaaS users across Reddit, X, YouTube and TikTok.

Paste your idea. Gorilla pulls real posts from people describing the exact problem you solve, then ranks them by buying intent. One run, four platforms, under 15 seconds.

$1.99 per run · No subscription · Free: refine your idea · expand into keywords + pain points

Reddit
Twitter / X
YouTube
TikTok
4
Social networks searched
266
Leads per hunt on average
<15s
From idea to ranked leads
10.0
Max intent score
How it works

From idea to leads
in under two minutes.

Five steps. You type the idea, we return the leads.

01
Describe your idea
Type what you're building. One sentence is enough.
02
Answer a few questions
A few questions about your audience to narrow the search.
03
We expand the keywords
We turn your idea into 20+ search phrases.
04
We pull real posts
Recent posts from Reddit, X, YouTube, and TikTok.
05
You get a ranked list
An LLM scores each post by intent. Best leads first.
Pricing

Pay for what you use.

No free tier. Pay per run, or get five a week.

Weekly
$3.99 /week
5 runs every week.
  • 5 runs per week
  • Daily monitoring with email alerts
  • AI-drafted outreach comments
  • AI-scored lead relevance
  • CSV & JSON export
  • Cancel anytime
Get started →
Best value
Lifetime
$149.99 one-time
Pay once. Use forever.
  • Unlimited runs, forever
  • Daily monitoring with email alerts
  • AI-drafted outreach comments
  • Exclusive feedback channels with the founders
  • AI-scored lead relevance
  • CSV & JSON export
  • No recurring charges, ever
Buy lifetime →

Just want to try? Run a single search for $1.99 →

Blog

Notes on finding
your first users.

Playbooks and essays from real Gorilla runs.

Read on page

The first posts.

Two pieces from real Gorilla runs. One teardown coming next week.

How to find your first 10 customers without a following

You don't need an audience to get your first ten users. You need to find people already looking for what you're building, then reply while the problem is fresh.

266 posts surfaced
91 top leads
4 networks scanned

This is the demo run from above. Four networks searched at once, narrowed to a high-intent shortlist. You don't need more marketing. You need better signal at the top of the funnel.

Search problems, not personas

Most early outreach fails because founders target identities. "SaaS founders" is too broad. "How do I get beta testers?" finds someone asking for help right now.

  • "how do i get first users for my saas"
  • "how do i find beta testers"
  • "how do i validate a saas idea without ads"
  • "manual customer research takes forever"

Cast a wide net, then filter for urgency

Volume isn't the goal. Picking the right ones is. In the demo run, 266 posts became 91 worth reviewing closely. The question that filter forces you to ask: who is actively trying to solve this right now?

  • Keep posts where the person names a real constraint (time, cost, a failed alternative).
  • Keep posts where they sound open to trying a workflow or a tool.
  • Skip generic discussion threads and vague "curious what people think" posts.

Score for who's most ready, not just who's relevant

  1. Problem fit: is the pain adjacent to what you solve?
  2. Timing: does the post sound urgent, or theoretical?
  3. Openness: is the author asking for advice, examples, or tools?
  4. Reachability: can you reply publicly and keep the conversation going?
You don't need more channels. You need a tighter list of people describing the exact problem in their own words. Start with recent Reddit threads. Pull the phrases that repeat. Test three replies before you write any cold outreach.

Build a 25-person shortlist, not a 500-lead spreadsheet

A weekly loop that works: collect 25 strong posts, reply to 10 publicly, follow up with the 5 warmest responders, and ask 3 for a short call. You'll learn more from that than from a giant sheet you never revisit.

Want to try this on your own idea?
Run a search across all four networks and start from real pain instead of guesswork.
Try Gorilla ->

ICP research is broken. Here's what actually works.

Surveys and interviews are useful, but they're a weak first signal. Better ICP work starts with what people say in public, before they polish the story.

3 biases removed
25+ posts to cluster
1 working ICP

Traditional ICP work sounds clean because it's built after the fact. People summarize what they think they do, what they wish they did, and what sounds reasonable in an interview. The final doc looks polished, but most of the urgency you actually needed is gone by the time it's written.

Where it usually breaks

  • Recall bias: people report what they remember, not what they did in the moment.
  • Courtesy bias: interviews are full of nicer answers than real buying behavior.
  • Over-generalization: one polished quote becomes a fake rule for a whole market.

What live signal gives you instead

The same Gorilla run that surfaced 266 posts also caught the exact phrases founders used when the pain was active: "first users," "beta testers," "validate without ads," "manual research takes forever." Those lines are more useful than a persona deck because they show urgency, constraints, and failed alternatives all in the same sentence.

A better order of operations

  1. Search for the struggle, not the role.
  2. Pull recent posts across multiple networks.
  3. Group them by repeated problem, trigger, and constraint.
  4. Use interviews later, to confirm the strongest patterns.

Your ICP stops being generic once you capture the wording, the recency, and the failed workaround for every strong post. After 25 or 30 examples, you can usually tell which pains are urgent, which channels actually have buyers, and which phrases belong on the landing page right away.

Get the signal before you write the persona doc.
Let Gorilla surface the repeated phrases first, and use interviews later to confirm the sharpest patterns.
Run a search ->
Queued next

We ran Gorilla on r/SaaS for a week. Here's what we found.

The next post on the page. The plan for it:

  • Show the run setup and the subreddit slices that produced the strongest signal.
  • Five pain patterns that kept coming up in the highest-scoring posts.
  • The language founders use when manual customer discovery is breaking down.
  • The search prompts you can run on your own idea.
Start your own teardown ->
API

Use it from your editor.

Gorilla ships as an MCP server. Plug it into Claude Code, Cursor, or any MCP client with your API key. Same plan, same runs.

{
  "mcpServers": {
    "gorilla": {
      "command": "npx",
      "args": ["@gorilla/mcp"],
      "env": { "GORILLA_API_KEY": "grla_..." }
    }
  }
}

Source and tool list at github.com/opusforge/gorilla-mcp.

FAQ

Common questions

Is this just another keyword search tool? +
No. Gorilla scores each post with an LLM based on how likely the author is to become a customer, not just whether keywords match. That's the difference between a pile of posts and a list of leads.
Will this get my social accounts banned? +
Gorilla only surfaces public posts. We don't automate any outreach or touch your accounts. You decide what to write and when to send it.
What networks are supported right now? +
Reddit, Twitter/X, YouTube and TikTok. Every plan includes all four.
How is this different from manually searching Reddit or Twitter? +
Manual search takes hours and misses the phrases people actually use. Gorilla runs 20+ variations across every platform at once, then ranks by intent. Under 15 seconds, end to end.
Can I export the results? +
Yes. CSV and JSON export are included on every plan.

Your future users are
posting right now.

Find them before someone else does.