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Today: 1,008 launches · Niche of the day: specialized calculation tools · See what launched today →

Less-sheet

A minimal but fast CSV viewer

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Built this tool for my self, as a quick way to open CSV files of, almost, any size. Supports also gzipped csvs and can load directly over http(s)

HN · launched Sep 4, 2026 · 5 upvotes (top 87%) · 0 views

Niche: developer data and local file viewers · 49 launches, 9 in the last 7 days · Explore this niche →

Category and tags

  • Horizontal
  • Dev tools
  • Developer
  • Not AI
  • Hobby / open-source project

Visit website ↗ Source listing ↗

Could you build this?

Partial A standard web or desktop CSV viewer is simple, but instantly loading multi-gigabyte or gzipped CSV files over HTTP without running out of memory requires custom high-performance streaming and virtualization.

What it would actually take: The architecture typically uses Rust (compiled to WebAssembly or native) or C/Go with memory-mapped files (mmap) or byte-range HTTP requests. The hard part is chunk-based indexing, fast SIMD-accelerated CSV parsing, decompression on the fly, and infinite-scroll virtual table rendering without freezing the main thread. Implementing this requires low-level systems programming and high-performance streaming parser expertise.

Discussion

2 comments analyzed.

Competitors mentioned: Visidata, macOS Preview, Excel

Concerns raised: Large file memory usage when entire file loaded in background, Limited to preview/viewing rather than data manipulation

Feature requests: More advanced data working capabilities beyond viewing, Additional column formatting options beyond hide/type/basic formatting

Competitors

Other products that read as similar to this one : 307 launches clear the similarity bar, closest 8 shown.

Attention rank: #292 of 308 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 285 days after the earliest competitor.

The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.