Tracking Competitors That Don't Have a Website Yet

Every monitoring tool focuses on competitors that already have a website. The much harder problem — and the more valuable one — is identifying competitors before they have one. By the time a stealth startup launches publicly, they've usually been heads-down for 12–18 months and have a meaningful product head-start. The first time you hear about them is during a deal you just lost.

You can't watch a website that doesn't exist yet. But stealth competitors leak from a small number of predictable surfaces. Watching those is how you cut the discovery delay from "12 months after launch" to "3 months before launch."

Leak 1: Hiring posts on niche job boards

The first public artifact most stealth startups produce is a job posting. Even with the company name redacted ("Stealth-mode AI startup, Series A"), the postings reveal a lot:

• Tech stack in the requirements section narrows the build to a category.
• Title composition (one PM, three full-stack, no enterprise sales) tells you the stage and shape.
• Compensation band combined with location tells you funding size with surprising accuracy.

Where these leak: Wellfound (formerly AngelList), YC's Work at a Startup, Otta, Lever boards of stealth companies, and increasingly the careers page of solo VCs (a16z, Greylock, Sequoia Scout) who post on behalf of portfolio companies.

The postings themselves get aggregated and indexed within days. Watching the right keyword stream catches roughly 40–60% of stealth competitors in our space within a quarter of them existing.

Leak 2: Domain registrations

Every stealth startup eventually registers a domain, even if the domain redirects to a coming-soon page or doesn't resolve at all. WHOIS data is increasingly privacy-protected, but the fact of registration and the registration date are still public.

Where this is useful: not for finding stealth startups by name, but for confirming a guess. If you suspect "vendor X is being built" because of a hiring post or a tweet from someone who left a competitor — checking whether a plausible domain was registered in the last 6 months tells you whether you're chasing a real signal.

Tools like RDAP and ICANN lookup are the canonical sources. Most monitoring platforms haven't bothered with this surface because it's noisy at scale, but for confirming individual hypotheses it's nearly free.

Leak 3: GitHub activity by ex-competitor employees

This one is uncomfortable to write about but extremely productive in practice. When two senior engineers leave the same competitor in the same quarter and start contributing to a previously-empty GitHub org, that GitHub org is going to be a competitor inside a year.

The pattern is almost always: a new GitHub org with one or two contributors, repos with names like "core" or "platform" or "engine," commits picking up over a 3-month window, then the public repos suddenly going private around the time the company decides to incorporate.

Where to watch: GitHub's user activity feed for ex-employees of competitors you already track. If your CI tool tracks "people who left competitor X in the last year" (most don't), this surface is searchable.

Leak 4: Conference attendee lists and Slack communities

Pre-launch founders go to industry-specific conferences and join the relevant Slack communities long before they go public. They show up in the attendee directory of a niche conference, post in the right channel of the right Slack, occasionally comment on a podcast episode.

The signal isn't the post itself — it's the combination of (a) someone with a redacted or "stealth" company name (b) participating heavily in conversations specific to the problem space they're building in. Founders pre-launch are gathering customer-development data, and that's where they do it.

Where to look: industry-specific Slack communities (the ones gated behind a community manager, not the open ones), niche conference attendee lists, podcast guest lists for shows in your domain.

Leak 5: VC partner content

The least obvious surface: portfolio-stage VC partners are the loudest source of pre-launch competitive intelligence in any category. They tweet about "interesting startups in [your category]" because that's how they signal deal flow to LPs and other VCs. The startup name is rarely mentioned, but the description is usually specific enough to match against domain registrations or hiring patterns.

Following the right 10–15 VC partners in your category surfaces roughly 70% of the meaningful pre-launches in our experience, with about a 6–9 month lead.

How Seeto handles this

Seeto is built around the assumption that public competitor data — the homepage, pricing page, messaging — is the trailing edge of competitive intelligence. The leading edge is everything that surfaces before launch. We aggregate the four most productive surfaces (hiring posts, domain registrations, ex-employee GitHub activity, VC content) into a single "stealth competitors" feed scoped to your category, so the discovery delay shrinks from 12+ months to weeks. The same engine that runs auto-detect competitors on launched companies runs continuous detection on the pre-launch surfaces, so by the time a stealth competitor goes public, you're already familiar with them rather than reacting after a lost deal.

Two checks that catch most of the value

If you're not going to set up a stealth-detection workflow, two checks done quarterly catch most of the value:

1. Search "stealth-mode AI startup" plus your category keyword on Wellfound and YC. Skim the top 20 postings. Note any whose stack and stage suggest they're building near you.
2. List the senior people who have left your top 3 competitors in the last 12 months. For each, check their GitHub activity for new orgs. Spend 5 minutes per person.

That's an hour a quarter and it catches most of the pre-launch signal that shows up later as a deal you didn't see coming.