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

We are building Git for data

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Today you can easily adopt AI coding tools because you have git for branching and rolling back if AI writes bad code. We haven't seen this same capability for data and decided to build it ourselves.Nile is a new kind of data lake, purpose built for using with AI. It can act as your data engineer or data analyst creating new tables and rolling back bad changes in seconds. We support real versions for data, schema, and ETL.We'd love your feedback on any part of what we are building - https://getnile.ai/What do you think?

HN · launched Jan 27, 2026 · 9 upvotes (top 54%) · 0 views

Niche: version control and updater software · 34 launches, 2 in the last 7 days · Explore this niche →

Category and tags

  • Horizontal
  • Data infrastructure
  • Developer
  • Not AI
  • Commercial product

Source listing ↗

Could you build this?

No Building a version-controlled data lake ('Git for data') requires deep database systems engineering, distributed systems storage primitives, and complex copy-on-write transactional architectures.

What it would actually take: A production implementation requires building or extending distributed storage formats (like Apache Iceberg, Delta Lake, or Nessie/lakeFS) with multi-table ACID transactions, zero-copy branching, snapshot isolation, and metadata catalog management. The hardest parts are handling petabyte-scale metadata commits, distributed conflict resolution, and garbage collection without performance degradation. This demands deep systems architecture and distributed database engineering expertise.

Discussion

2 comments analyzed.

Competitors mentioned: Iceberg, Delta Lake

Concerns raised: How branching/merging scales, Cost predictability, Trust and observability

Feature requests: Cost predictability features, Observability improvements, Trust/reliability guarantees

Competitors

Other products that read as similar to this one : 282 launches clear the similarity bar, closest 8 shown.

Attention rank: #160 of 283 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 87 days after the earliest competitor.

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