Request a correction

How SaaSNet.work works

We don't collect user reviews and we don't take payment from products. We show you what a product says about itself and what the rest of the web says about it, each with a link, and tell you plainly when we found little. We don't rule on whether a claim is true; you can open the sources and decide.

The pipeline

  1. Discovery. Every day we pull the newest launches from Product Hunt in AI, SaaS, fintech and productivity topics. Products are picked by this feed, not by submission or sponsorship.
  2. Identity check. Before anything else, we confirm the website really is the product that launched: its name has to appear on the site and the launch tagline has to match what the site says. If it doesn't, the product is held for a human to fix the URL and no review is drafted.
  3. What the site says. We read the visible text of the product's own homepage and use an AI model to pull out a few short statements the site makes. Each statement is listed with the page it was read from. If the homepage can't be read, that section is left empty and says so. We never make up statements from a tagline.
  4. What others say. We run web searches for the product and keep only results that are about it: the page must mention the product's full name or its website, and, where we know what the product does, share its subject words. Each kept page is listed with a link. We never ask whether an outside page agrees with the product, only whether it is about the product.
  5. Pricing scan. We fetch the product's own pricing page directly rather than trusting marketing copy. A price is shown only when it appears on that page; otherwise the tier is listed as “not disclosed”. Tracked products are re-scanned daily and each scan is stored, so the price on a review is the most recent one we saw, and history builds up over time.
  6. Draft. An AI model drafts a one-line summary, three pros, three cons and a star rating from 1 to 5. It may only use the homepage text, the pricing data and the two lists above, and it is told not to call anything true or false.
  7. Human approval. Nothing is published automatically. A person reads the draft next to the evidence, can edit the wording, fix the category, or drop a site statement that was read badly or an outside page that isn't about the product, and only then approves it.

What the coverage label means

Each review carries one label. It comes from counting only: how many independent websites, other than the product's own site and Product Hunt, we found writing about it. It is not a judgement about the product.

  • Well documented — 3 or more independent sources.
  • Some coverage — 1 or 2 independent sources.
  • Little found — none. Only the product's own pages and its launch listing. This is normal for a new product and is not a mark against it.
  • Not re-checked yet — an older review written before we changed how we work. It will be re-checked.

What the star rating is (and isn't)

The rating reflects how clear and specific the product's own description is and how openly it shows its pricing. It is not the result of hands-on testing — we don't sign up for or use the products — so it says nothing about how good a product feels to use, and it is not affected by how much press a product has.

  • 5 stars — clear description, pricing clearly shown, specific statements about what it does.
  • 4 — clear description and clear pricing (or clearly free).
  • 3 — description or pricing partly unclear or hidden.
  • 2 — pricing largely hidden, or the description is vague or inconsistent with the tagline.
  • 1 — it is hard to tell what the product does.

Ratings are in half-star steps. A person can adjust the rating before approving.

Limits you should know about

  • Newly launched products often have little outside coverage yet, so many will show “Little found”. That is expected, not a failure.
  • We run two searches per product and read result snippets, not every page. Results can include review sites, forums, blogs and social posts, but we don't guarantee any particular site is covered.
  • Statement extraction and drafting are done by AI models and can be wrong. The human approval step catches some errors, not all.
  • Pricing pages that load prices with scripts, hide them behind a login, or use unusual layouts may show as “not disclosed”.
  • A free trial is reported as a trial of a paid plan, not as a free tier. Server (VPS) add-on plans are not treated as subscription tiers.
  • A review is a snapshot. The date it was approved and the date pricing was last checked are shown on each page.

Our crawler

We fetch a product's homepage and pricing page, at low volume, using the user agent SaaSNetBot/0.1. If you'd like us not to check your product, tell us.

Something wrong?

If a price, fact or link is wrong, request a correction. We re-check and update the review, and unpublish it if it can't be supported. Read more about how we operate on the About page.

Last updated September 19, 2026.