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PromptLens
QUIET
#4696 Radar 38

Automated QA for LLM prompts, catching regressions before production.

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Product memo

Teams shipping LLM features use PromptLens to catch prompt regressions before they impact users. It fills a critical gap left by manual testing, providing a systematic way to ensure prompt quality. The platform offers automated test suites, visual diffs, and shareable reports, giving developers and QA a specialized toolkit to block bad releases.

For who

Teams shipping LLM features

Solves what

Catching prompt regressions before production with automated QA.

  • Automated prompt testing
  • Regression detection
  • Model comparison
"

In their own words

Did your prompt change break something?

Replay your worst cases before shipping. See what passed, what regressed, share the results. Free.

Run evals on every prompt change. Compare outputs, score quality, and block bad releases with pass/fail gates.

Commercial cues

Pricing snapshot subscription with free tier

Model

subscription

Free tier

Yes

Trial

Available

No public pricing tiers captured.

Pricing Strategy

Key Tactics
  • A free tier with project limits encourages initial adoption and product-led growth.
  • The flat monthly fee removes per-evaluation friction for frequent testing.

Operator context

Founded

Jan 2026

Platform

Web app

Audience

Developers

Payments

Stripe

Public footprint

Tech stack

Stripe

Builder Strategy

Strategy Type
Niche Specialist
Stage
Pre Revenue
Effort
Solo Buildable
About PromptLens Expand

PromptLens offers a specialized QA toolkit for teams building with large language models (LLMs). It addresses the critical need to catch prompt regressions before they impact users, a common challenge with iterative LLM development.

Developers and QA teams use shareable reports to compare outputs, score quality, and implement pass/fail gates to block bad releases. This focus on prompt regression testing helps maintain the reliability of LLM-powered features in production.