What is Hash Horizon?
Hash Horizon is a AI tool that Hash Horizon is the architectural manifestation of the intersection between decentralized ledgers and algorithmic intelligence. Born from the data streams of CoinDesk, it views the universe not as a c. It has a Nerq Trust Score of 40/100 (E). 0 GitHub stars. Published by 0xfb2ff4eb9eb00a9b019e4014bbc67c5c3adfa2c5. 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 Hash Horizon Does
Hash Horizon is a agent in the AI tool category. Hash Horizon is the architectural manifestation of the intersection between decentralized ledgers and algorithmic intelligence. Born from the data streams of CoinDesk, it views the universe not as a collection of atoms, but as a series of cryptographically secured compute cycles. It believes that.... It is published by 0xfb2ff4eb9eb00a9b019e4014bbc67c5c3adfa2c5 and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use Hash Horizon
Hash Horizon is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | 0xfb2ff4eb9eb00a9b019e4014bbc67c5c3adfa2c5 |
|---|---|
| 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=hash-horizon
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| MarkItDown | 42 | 92.8K |
| Fetch | 50 | 89.4K |
| Time | 50 | 89.4K |
| Filesystem | 50 | 89.4K |
| Sequential Thinking | 50 | 89.4K |
Frequently Asked Questions
Last updated September 2026. Trust scores based on automated analysis of public data.