TesterArmy

Test your app with AI, catch bugs before users do

3.9Score#175 of 999 agents#3 of 15 in QA engineer

Why it ranks #175

TesterArmy, an AI QA engineer from YC Sp26, ranks #175 of 999 AI agents and #3 of 15 in QA engineer, with a score of 3.9 of 10. Data as of 3 Oct 2026.

The score adds four parts, each 0 to 10, by weight. Every point comes from public evidence. How scoring works ·

Proof 2 × 30% 0.6
Scale 3 × 30% 0.9
Momentum 6 × 25% 1.5
Autonomy 6 × 15% 0.9
= 3.9

Proof
Do customers use it? 30% of the score
2
Claims a customer count.
- +2
  A customer count
  “We are live and used in production by 20+ companies\”
  Launch YC post · 26 May 2026
Not found: revenue or growth (+4), named customers (+3), a customer result (+2), work done at scale (+2)
Scale
Is there a real company behind it? 30% of the score
3
6 people.
- +3
  6 people on its YC page5 to 9 people
Not found: funding round in its news (+3)
Momentum
Is it shipping and growing now? 25% of the score
6
Shows a recent launch, a new claim and a new batch.
- +3
  Launched in the last 6 monthsTesterArmy: Test your app with natural languageLaunch YC post · 26 May 2026
- +2
  A new traction claim
  “We are live and used in production by 20+ companies\”
  Launch YC post · 26 May 2026
- +1
  New: YC Spring 2026
Not found: open roles on YC (+2), funding news in the last year (+2)
Autonomy
How much of the job does it do on its own? 15% of the score
6
Supervised agent: takes actions in other systems; a person approves key steps.
- +6
  Level 2 of 4: Supervised agentTakes actions in other systems; a person approves key steps.
What the model read
- Acts in other systems: 49% likely
- Finishes whole tasks: 42% likely
- Calls itself an agent: 97% likely
- Level 1 from the model's reading of its pages; the evidence review found, with quotes, that its AI acts in the work, so the level is 2
Level 2: Takes actions in other systems; a person approves key steps.

About TesterArmy

TesterArmy is an AI agent that tests websites and mobile apps. It monitors production on a schedule and runs automatically on every GitHub Pull Request, delivering screenshots, recordings, and actionable bug reports.

Describe tests in plain English. The agent handles login flows, OAuth, and OTPs, no scripts to write or maintain. We catch the regressions and UX issues that code review misses.