Number 1: 
FynoLabs
Managed AI trainers, LLM evaluators and benchmark authors for AI labs and data partners
- AI testing & review
- India
- DR 0 no change since last check
Parts bin · 8 builds
AI testing & review
AI that writes tests, reviews pull requests and flags bugs before they reach your users.
Open sponsor spot. $19 for 7 days puts your company at the top of AI testing & review, labelled Sponsored. See how it works. It never moves a vote.
Newest first
Show most upvoted firstNumber 1:
Number 2:
LucidEvidence-based credibility checks for links, screenshots, videos, and questions
- AI testing & review
- DR 7 no change since last check
Number 3:
CyberetteDeepfake Detection Backed by Forensic Evidence
- AI testing & review
- Netherlands
- DR 5 no change since last check
Number 4:
TestSpriteAgentic testing that writes end-to-end tests, runs them on your app after every change, and tells you exactly what broke
- AI testing & review
- United States
- DR 41 no change since last check
Number 5:
AI Detector WriterFree AI content detector to identify AI-generated text from ChatGPT, Gemini and other models
- AI testing & review
- DR 19 no change since last check
Number 6:
Brand GuardBrand-consistency monitoring, on autopilot
- AI testing & review
- DR 0 −1 (down) since last check
Number 7:
AISAA conversational AI assessment that scores how well professionals work with artificial intelligence across 5 dimensions and 11 criteria, with a free report and
- AI testing & review
- United Kingdom
- DR 46 +1 (up) since last check
Number 8:
VinvTools and algorithms for AI agents to test, fix and optimize your codebase
- AI testing & review
- DR 8 −1 (down) since last check
Community votes come from makers and cannot be bought. DR is Domain Rating by Ahrefs.
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PinoyFreelance.PH$5 - 2
Zinn Hub$5 - 3
Zinn Digital®$5 - 4
PBN LTD$5
About AI testing & review
A second pair of eyes for solo builders who have no teammate to check their work. These tools generate tests, comment on pull requests and hunt for bugs and security slips. Look at how noisy the feedback is and whether it explains its reasoning clearly.
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