What is marketingcrew?
55/100
Trust Score (C)
⚠️ Use Caution
marketingcrew is a marketing that Open source AI-powered marketing automation platform.. It has a Nerq Trust Score of 55/100 (C). 0 GitHub stars. Published by kollaakhil. Last analyzed May 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 1/100 — Maintenance activity is low
- ⚠️ Community: 0 stars, 0 downloads — Growing community
- ✅ Transparency: License: MIT — Clear licensing
Trust & Safety Overview
55
TRUST SCORE
C
GRADE
0
STARS
0
DOWNLOADS
What marketingcrew Does
marketingcrew is a tool in the marketing category. Open source AI-powered marketing automation platform.. It is published by kollaakhil and is open source. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use marketingcrew
marketingcrew is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.
Details
| Author | kollaakhil |
|---|---|
| Category | marketing |
| License | MIT |
| Type | tool |
| Source | View on GitHub |
| Security Score | 0/100 |
| Activity Score | 1/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=marketingcrew
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| TrendRadar | 68 | 46.7K |
| Resume-Matcher | 66 | 26.0K |
| Kolors-Virtual-Try-On | 71 | 10.0K |
| BlackFriday-GPTs-Prompts | 67 | 9.2K |
| marketingskills | 62 | 8.8K |
Frequently Asked Questions
What is marketingcrew used for?
marketingcrew is a marketing tool. Open source AI-powered marketing automation platform..
Is marketingcrew free?
License: MIT. marketingcrew has 0 GitHub stars.
Is marketingcrew safe?
marketingcrew has a Nerq Trust Score of 55/100 (C). Use with caution.
What are alternatives to marketingcrew?
Top alternatives: TrendRadar, Resume-Matcher, Kolors-Virtual-Try-On. See full comparison.
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Last updated May 2026. Trust scores based on automated analysis of public data.