Add traceflux to Search category

[tracer-mohist]

Add traceflux to Search category

Project: traceflux

Description: A text search engine with associative discovery. Discovers what you don't know to search for using co-occurrence graphs and PageRank.

Why it fits Search category:

• Pure Python implementation
• Uses PageRank algorithm for pattern importance scoring
• Builds co-occurrence graphs from text corpora
• Discovers related concepts through multi-hop traversal

Note on stars: This is a new project (< 1 month old, 0 stars), but I'm submitting early as a Hidden Gem candidate. It solves a unique problem: finding what you don't know to search for using associative discovery.

Philosophy: Unlike traditional search (find what you know), traceflux discovers related concepts you didn't know existed.

Example:

# Find related terms
traceflux associations "proxy" src/ --hops 2

# Output:
# Associations for 'proxy' (hops=2):
#   proxychains              strength: 0.85
#   HTTP_PROXY               strength: 0.72
#   git config               strength: 0.65

Happy to wait until the project meets the standard star/age requirements if needed. This early submission is to get feedback and track interest.

---

• Added entry to appropriate category (Search)
• Project is Python-first
• Repository is active (recent commits)
• Meets star requirement (submitting as Hidden Gem candidate)
• Repository has documentation

[JinyangWang27]

@tracer-mohist Thank you for your submission. Unfortunately, this PR doesn't meet our acceptance criteria:

Repository age: The repository was created 3 days ago. We require a minimum of 3 months (or 6 months for Hidden Gem submissions) to ensure project stability.
GitHub stars: 1 stars (minimum 100 required, or strong justification for Hidden Gem).

Please see our CONTRIBUTING.md for full requirements. You're welcome to resubmit once the project has matured and gained community traction.