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Cachekit

High performance caching policies library in Rust

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HN · launched Jan 14, 2026 · 47 upvotes (top 21%) · 0 views

Niche: specialized algorithms and computing libraries · 230 launches, 5 in the last 7 days ▼ -64% · Explore this niche →

Category and tags
  • Horizontal
  • Data infrastructure
  • Developer
  • Not AI
  • Hobby / open-source project

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More like this: all 230 launches in specialized algorithms and computing libraries →

Could you build this?

No Building high-performance, concurrent caching policies (like W-TinyLFU, ARC, or S3-FIFO) in Rust requires advanced understanding of lock-free data structures, memory layout, and systems performance engineering.

What it would actually take: The project requires implementing lock-free or striped concurrency primitives, probabilistic data structures (such as Count-Min Sketches for frequency admission), and efficient eviction algorithms in safe Rust. The core challenge is maintaining microsecond latency, zero-allocation eviction pipelines, and deterministic memory bounds under heavy multi-threaded contention. This requires deep systems programming expertise in concurrency models, cache coherence, and hardware-level performance tuning.

Discussion

8 comments analyzed.

Competitors mentioned: Foyer (Rust hybrid cache), quick-cache (fastest in-memory impl)

Concerns raised: No benchmarks vs competition despite high performance claims, Naming convention doesn't follow Rust API guidelines (LrukCache not LRUKCache), Confusing API - capacity parameter unclear in examples, Missing named parameters in Rust affects code discoverability

Feature requests: Benchmarks against Foyer and quick-cache, Sane defaults and easy memory limit configuration, Clearer documentation/examples for capacity parameter

Competitors

Other products that read as similar to this one : 2575 launches clear the similarity bar, closest 8 shown.

Attention rank: #528 of 2576 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 77 days after the earliest competitor.

Related data

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