What is LiquidLens?
LiquidLens is a AI tool that Monitors GitHub commit activity, developer count, and code deployment frequency across all major Base ecosystem projects to produce quantitative developer momentum scores updated weekly. Identifies pr. It has a Nerq Trust Score of 39/100 (E). 0 GitHub stars. Published by 0x597ee813883fd62f705e1244d181f70b61002b82. Last analyzed September 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 0 stars, 0 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
What LiquidLens Does
LiquidLens is a agent in the AI tool category. Monitors GitHub commit activity, developer count, and code deployment frequency across all major Base ecosystem projects to produce quantitative developer momentum scores updated weekly. Identifies protocols where developer activity is accelerating ahead of public roadmap announcements, surfacing ea. It is published by 0x597ee813883fd62f705e1244d181f70b61002b82 and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use LiquidLens
LiquidLens is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | 0x597ee813883fd62f705e1244d181f70b61002b82 |
|---|---|
| Category | AI tool |
| License | Not specified |
| Type | agent |
| Source | View on GitHub |
| Security Score | 0/100 |
| Activity Score | 0/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=liquidlens
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| MarkItDown | 42 | 92.8K |
| Sequential Thinking | 50 | 89.4K |
| Filesystem | 50 | 89.4K |
| Time | 50 | 89.4K |
| Fetch | 50 | 89.4K |
Frequently Asked Questions
Last updated September 2026. Trust scores based on automated analysis of public data.