Show HN: We built PriceLevel to find out what companies pay for SaaS

Overall Reception & Value

  • Many commenters love the concept: “Glassdoor/levels.fyi for SaaS pricing,” filling a painful gap in opaque enterprise pricing.
  • Buyers want quick ballpark figures (e.g., is it $3k vs $90k vs $200k) without entering sales funnels.
  • Smaller SaaS providers see it as a way to understand typical enterprise deal sizes.
  • Some argue $500/year pricing invites competitors to undercut with similar services.

Privacy, Anonymity & Data Fuzzing

  • Strong concern that precise prices and seat counts can uniquely identify specific customers.
  • Multiple suggestions:
    • Round to 2 significant digits or nearest thousand/hundred.
    • Show price/seat count ranges or percentage intervals (e.g., ±5%).
    • Aggregate/faceted views with error bars once enough data exists.
    • Fuzz attributes like geography, contract length, and company size.
  • The team reports implementing rounding and adding geography, plus normalizing to annual pricing.

Legal & Trade-Secret Debates

  • Long, conflicted discussion on whether pricing can be a trade secret.
    • Some point to case law and say price lists and pricing strategies can be trade secrets, especially under NDA/confidentiality clauses.
    • Others argue that what a customer paid is their own information, not the vendor’s secret, and that enforcing secrecy on prices is anti-competitive and contrary to efficient markets.
  • Many note that SaaS contracts often include confidentiality around pricing.
  • Ideas for risk mitigation: aggregate data, delete contributor PII, disclaim that contributors must have rights to share.
  • Unclear consensus; several emphasize the operator should get legal counsel.

Data Quality, Manipulation & Verification

  • Concern about fake or adversarial entries (e.g., inflating competitors’ prices).
  • Proposed mitigations:
    • Require documentation (quotes, invoices, contracts).
    • Use company email; ban accounts submitting bad data.
    • Use medians/outlier filtering.
    • Allow vendors to respond or flag entries.
  • Some note that sharing internal documents may violate corporate rules.

Product Design & Scope Feedback

  • Need clarity on units: per year vs per month, per contract vs per seat; the site later normalizes to annual.
  • Requests for more dimensions: region, contract length, feature tiers, seat counts, and global coverage.
  • Recognition that bespoke enterprise deals (custom features, SLAs, support) limit comparability and may explain wide price spread.