C99 implementation of new O(m log^(2/3) n) shortest path algorithm
Details
- External ID
- 47124325
- Source
- HN
- Company
- —
- Product
- C99 implementation of new O(m log^(2/3) n) shortest path algorithm
- Website domain
- github.com
- Launched
- Feb. 23, 2026
- Cohort
- —
- Upvotes
- 111
- Upvotes percentile
- 0.9022911051212938
- Tags
- —
- Fetched at
- Sept. 7, 2026, 9:25 p.m.
- Updated at
- Sept. 7, 2026, 9:25 p.m.
Enrichment
- Theme
- low-level systems and developer tools
- Vertical
- —
- Function
- Dev tools
- Audience
- Developer
- AI stance
- Not AI
- Project type
- Hobby / open-source project
- Normalized one-liner
- shortest path algorithm implementation
- Manually corrected
- False
Could you build this?
No Implementing a cutting-edge theoretical graph algorithm with complex asymptotic bounds in pure C99 requires deep mathematical graph theory expertise and algorithmic implementation skills that AI assistants routinely hallucinate on.
What it would actually take: Requires translating advanced theoretical computer science papers (such as recent sub-logarithmic shortest path algorithms) into correct, bug-free C code. The hard parts involve implementing complex hierarchical graph decompositions, specialized priority queue data structures, and intricate recursive state tracking while managing manual memory in C99. This demands specialized theoretical computer science expertise and competitive-programming-level low-level systems engineering.
Discussion
20 comments analyzed.
Competitors mentioned: Fibonacci heap implementations, BMSSPy (Python BMSSP library), C++ BMSSP reference implementation, Established graph algorithm libraries
Concerns raised: Code is AI-generated (not peer-reviewed implementation), Benchmark results appear fabricated or compiler-dependent, Extreme speedup claims (20,000x-1.2M x) only reproducible with specific compiler flags, DMMSY(res) implementation doesn't match claimed algorithmic complexity, Unfair comparison - custom Dijkstra implementation may have heap allocation overhead
Feature requests: Transparent explanation of AI generation process and methodology, Fair apples-to-apples comparison with same optimization levels for all algorithms, Benchmarks against established Dijkstra libraries and reference implementations, Real-world performance data on realistic (non-sparse/tree-like) graphs
Competitors
Other products that read as similar to this one — 338 launches clear the similarity bar, closest 8 shown.
Attention rank: #25 of 339 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 115 days after the earliest competitor.
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- LLMRouter · hn · 2025-12-31 · 5 upvotes · similarity 0.48
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- Tarit · hn · 2026-07-15 · 12 upvotes · similarity 0.46
Other launches for this product
- No other launches for this product.