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fsearch

Whole-disk file search for macOS: fuzzy names, typo tolerance, indexed content grep. ~1 ms over 8M files.

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This is 1 of 468 launches in system utilities and developer tools — see how it stacks up on momentum and crowding →

354 other launches read as similar to this one →

Details

External ID
1410750399
Source
GITHUB
Company
—
Product
fsearch
Website domain
github.com
Launched
Oct. 8, 2026
Cohort
—
Upvotes
1945
Upvotes percentile
1.00
Tags
—

Enrichment

Niche
system utilities and developer tools
Vertical
Horizontal
Function
Search & retrieval
Audience
Prosumer
AI stance
Not AI
Project type
Hobby / open-source project
Normalized one-liner
whole-disk file search for macos
Manually corrected
False

Could you build this?

No Indexing 8 million files and performing fuzzy search plus content grep with ~1 ms latency requires low-level systems programming, deep APFS/macOS filesystem integration, and advanced data structure design.

What it would actually take: Achieving sub-millisecond queries across millions of files requires Rust, C++, or Swift interacting with macOS FSEvents or the low-level APFS catalog file/raw disk indexing. It requires building custom memory-mapped trigram indexes, cache-conscious inverted indices, and highly optimized SIMD-accelerated fuzzy matching algorithms.

Competitors

Other products that read as similar to this one — 354 launches clear the similarity bar, closest 8 shown.

Attention rank: #3 of 355 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 344 days after the earliest competitor.

Other launches for this product