SF SaaS Flags
Methodology

How SaaS Flags works

An honest look at how we gather complaints, score risk, and decide what makes it onto a product page.

Where the warnings come from

Every warning on this site is paraphrased from a public source: a Better Business Bureau filing, a Trustpilot or G2 review, a Reddit thread, a Capterra rating, a court record, or a news article. We never reproduce reviewer text verbatim — that's both an attribution problem and, frankly, lazy. Instead, our scanner reads each source, extracts the substance, and rewrites it in our own editorial voice with the source URL attached so you can verify it.

The Risk Score

It's a 0–100 number. Calculated as the weighted sum of every documented warning:

The score is capped at 100 and rounded. Lower is better.

Risk bands

What we don't do

We don't accept payment to remove, downplay, or reorder warnings. We don't take affiliate kickbacks from the products we profile. We don't reproduce reviewer text verbatim. We don't claim a product is a scam unless that claim has been formally adjudicated — instead, we paraphrase what the public record shows and let you decide.

What the AI scanner does (and doesn't)

The scanner is an LLM-driven pipeline that pulls together publicly available information about a product from across BBB, Trustpilot, G2, Capterra, Reddit, news outlets, and forums — then classifies what it finds into categorized warnings. It paraphrases. It cites sources. It does not invent complaints out of thin air, and it does not copy text verbatim from any source.

Every page on this site is written to be read by a human, not to game search engines. If you ever land on a page that doesn't tell you something useful about whether to buy a product, please tell us and we'll fix it.