SaaStradamus: estimate any SaaS’s monthly revenue

Paste a website. SaaStradamus reads about 70 public signals and compares them with 9,563 SaaS whose revenue is known, then shows what the ones earning $5k a month have that this site does not.

Where 9,563 SaaS land

monthly revenue

Not earningunder $100/mo66%

Side project$100–500/mo11%

Small business$500–5k/mo12%

Established$5k–50k/mo8%

Scaled$50k+/mo4%

What successful SaaS have.And the Tin workflow that adds each.

Each factor shows up far more often on SaaS making $5k a month than on the rest. The number is how many times more likely a site with it is to earn that much.

Customer case studies
A case-studies or customers page linked from the homepage.
Case study drafts
3.7×
Paid acquisition
An ad pixel on the site: someone is paying to bring visitors in.
Paid ads assessment →Google Ads launch →Meta ads
2.7×
People search for the name
50 or more monthly searches for the brand name.
Social plan →Talks and podcasts →Newsletter placements →
2.5×
Lifecycle email tool
A marketing-automation tool such as Loops, Customer.io or HubSpot on the site.
Lifecycle email setup
2.5×
Full terms of service
Terms of service of 1,500 words or more.
Checkout trust check →
2.4×
Business tools verified
Two or more vendor verification records in DNS, left by tools like Search Console.
Start here: onboarding →
2.3×
Organic search traffic
Ranks for 100 or more keywords, or earns measurable search traffic.
Organic traffic system →Keyword plan →SEO and AI visibility audit →
2.0×
Integrations page
An /integrations page listing what it connects to.
Marketplace listings →Integrations page writer
2.0×
Enterprise-ready terms
Legal pages that cover SSO, a DPA, subprocessors or SOC 2.
Checkout trust check →
1.9×
Protected email domain
A DMARC record, so mail from the domain is trusted.
Lifecycle email setup
1.8×
Dated changelog
A changelog with five or more dated entries.
Release posts →Changelog page
1.6×
Email sending set up
Sending services in SPF, or DKIM keys for an email provider.
Lifecycle email setup
1.6×
Analytics installed
PostHog, Google Analytics or Plausible on the site.
Product analytics brief →
1.6×
Launched on Hacker News
At least one Hacker News story linking to the site.
Public article →Community thread replies →
1.5×
Founder or brand on social
An X or LinkedIn profile linked from the homepage.
Social plan →Social post drafts →
1.4×
A blog
A blog linked from the homepage.
Planned article drafts →Organic traffic system →
1.3×
Annual billing
An annual or yearly price next to the monthly one.
Pricing page review
1.3×

Seventy signals in.One estimate out.

It weighs about 70 public signals against 9,563 SaaS whose monthly revenue is known. It is good at telling earning businesses from the rest, and honest about how wide the range is.

Public signals

pricing$29/mo, annual
terms2,140 words
dns3 verifications
changelog41 entries
search1.2k keywords
hacker news2 launches

Revenue bands

Established~$12k/mo

Open source,Apache 2.0.

Read the code

Every workflow is text in the repo.

Run it on your machine

Your keys, your data, your schedule.

Change a workflow

Edit the file and send it back.

Bring your own skills

One command turns them into workflows.

Repo on GitHub →

Questions.

How accurate is SaaStradamus?

It puts a SaaS in the right revenue band about 70% of the time and within one band about 84% of the time. Its range contains the real figure for eight businesses in ten. Treat the number as a band, not a valuation.

Where does the data come from?

Only public signals: the website, its DNS records, its search footprint and Hacker News. The model learned which of those signals go with revenue from 9,563 SaaS businesses whose monthly revenue is known.

Can I check a competitor?

Yes. It works on any public website. It reads the same public pages a visitor would and does not sign in, submit forms or contact anyone.

Do you keep the sites I check?

Results are cached for a day so a repeat check is instant. We do not keep a list of who checked which site.

How do I add a missing factor?

Each missing factor links to the Tin workflow that adds it, such as an organic traffic system, a checkout trust check or a paid ads assessment. Tin is open source and runs from your coding agent.

Add Tin to your coding agent.It takes one command.

Find it on GitHub

codex mcp add tin --url https://app.tin.computer/mcp