What is AIE Code Hackathon Vote?
AIE Code Hackathon Vote is a community that AIE Code Hackathon Vote, presented by Fetch.ai - browse every project from the AIE Code Summit 2026 Hackathon in San Francisco, vote for your favourite, and let the organizers track live vote counts t. It has a Nerq Trust Score of 68/100 (B-). 0 GitHub stars. Published by 54a9c5f35fe2399917eacf46515f85cd260c6649bde07aa0. Last analyzed November 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 AIE Code Hackathon Vote Does
AIE Code Hackathon Vote is a agent in the community category. AIE Code Hackathon Vote, presented by Fetch.ai - browse every project from the AIE Code Summit 2026 Hackathon in San Francisco, vote for your favourite, and let the organizers track live vote counts to pick the winner.. It is published by 54a9c5f35fe2399917eacf46515f85cd260c6649bde07aa0 and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use AIE Code Hackathon Vote
AIE Code Hackathon Vote is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.
Details
| Author | 54a9c5f35fe2399917eacf46515f85cd260c6649bde07aa0 |
|---|---|
| Category | community |
| 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=aie-code-hackathon-vote
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| AIE Code Submission Agent | 71 | 0 |
| Pillow Night Coordinator | 68 | 0 |
| rosetta | 68 | 0 |
| LAZARUS Digger | 68 | 0 |
| Tool Offer Agent | 71 | 0 |
Frequently Asked Questions
Last updated November 2026. Trust scores based on automated analysis of public data.