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Life & fun · February 21, 2026

SS

See – searchable JSON compression (offline 10-min demo)

Hi HN, I’m building SEE (Semantic Entropy Encoding): a searchable compression format for JSON/NDJSON. Goal: reduce the “data tax” (storage/egress) and “CPU tax” (decompress/parse) by keeping JSON searchable while compressed, with page-level random access. I just published a proof-first evaluation release: Offline DEMO ZIP (~10 min): prints compression ratios + skip rates + lookup latency (p50/p95/p99) DD pack: audit/repro evidence (decode mismatch=0, extended mismatch=0, audit PASS) Latest release:…

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What it does

In the maker’s words, at launch

Hi HN, I’m building SEE (Semantic Entropy Encoding): a searchable compression format for JSON/NDJSON. Goal: reduce the “data tax” (storage/egress) and “CPU tax” (decompress/parse) by keeping JSON searchable while compressed, with page-level random access. I just published a proof-first evaluation release: Offline DEMO ZIP (~10 min): prints compression ratios + skip rates + lookup latency (p50/p95/p99) DD pack: audit/repro evidence (decode mismatch=0, extended mismatch=0, audit PASS) Latest release: https://gitlab.com/kodomonocch1/see_proto/-/releases Direct DEMO ZIP: https://gitlab.com/api/v4/projects/79686944/packages/generic... OnePager is included in the release assets. I’d love feedback on: what workloads you’d try this on, and what integration path would make this compelling vs Zstd + external indexing.

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