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Marmot

Single-binary data catalog (no Kafka, no Elasticsearch)

Details

External ID
46121860
Source
HN
Company
—
Product
Marmot v2.20
Website domain
github.com
Launched
Dec. 2, 2025
Cohort
—
Upvotes
103
Upvotes percentile
0.9026717557251909
Tags
—
Fetched at
Sept. 7, 2026, 9:25 p.m.
Updated at
Sept. 7, 2026, 9:25 p.m.

Enrichment

Theme
web development and browser utilities
Vertical
Horizontal
Function
Data infrastructure
Audience
Developer
AI stance
Not AI
Project type
Commercial product
Normalized one-liner
single-binary data catalog without kafka or elasticsearch
Manually corrected
False

Could you build this?

Partial While standard CRUD catalog interfaces can be vibe-coded, engineering a zero-external-dependency, single-binary data catalog with embedded search, metadata storage, and lineage processing requires careful systems design.

What it would actually take: The stack would typically be written in Go or Rust, leveraging embedded engines like SQLite or DuckDB for metadata alongside embedded full-text engines (e.g., Bleve or Tantivy). The challenging parts include robust automated connector ingestion from heterogeneous data sources without external queue brokers (like Kafka) and efficient graph storage for data lineage and schema evolution.

Discussion

20 comments analyzed.

Competitors mentioned: Amundsen, Open Metadata, Snowflake native catalog, dbt, Tableau

Concerns raised: Metadata becomes outdated without enforcement mechanism, Documentation burden on developers reduces adoption, Lacks enterprise features like SSO/SAML governance, Cross-storage lineage discovery is complicated, Plugin system requires Go expertise; LLM-generated code risky

Feature requests: Schema versioning with UI navigation, Native integrations beyond Airflow, Column-level lineage, External plugins (not compiled into binary), SQLite/D1 plugin

Competitors

Other products that read as similar to this one — 721 launches clear the similarity bar, closest 8 shown.

Attention rank: #83 of 722 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 34 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a data infrastructure tool for Media & entertainment yet.