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Lean4 Datalog DSL Based on Google Zanzibar for AI Projects

Details

External ID
49092730
Source
HN
Company
—
Product
Lean4 Datalog DSL Based on Google Zanzibar for AI Projects
Website domain
github.com
Launched
July 29, 2026
Cohort
—
Upvotes
18
Upvotes percentile
0.6893667861409797
Tags
—
Fetched at
Sept. 8, 2026, 8:28 p.m.
Updated at
Sept. 8, 2026, 8:28 p.m.

Description

Google Zanzibar datalog lang lets you describe concepts and express how they are related. I generalize it to DSL you can use on Lean4 (and other languages) this lets you represent a knowledge base you can construct, store and evaluate, have it under git and improve without big engines or relaying on external infrastructure.Google's Zanzibar paper: https://storage.googleapis.com/gweb-research2023-media/pubto...

Enrichment

Theme
database infrastructure and developer tools
Vertical
Horizontal
Function
Dev tools
Audience
Developer
AI stance
AI feature
Project type
Hobby / open-source project
Normalized one-liner
datalog dsl for ai projects in lean4
Manually corrected
False

Could you build this?

No Creating a domain-specific language and evaluation engine in Lean 4 based on formal relationship-based access control (Zanzibar) requires deep expertise in formal methods, type theory, and logic programming.

What it would actually take: The system requires formal language design using Lean 4's metaprogramming capabilities (macros, elaborators, tactics) to define syntax and operational semantics for Datalog/Zanzibar relationship tuples. It requires expertise in theorem proving, formal verification, fixed-point Datalog evaluation algorithms, and Lean 4 compiler internals.

Discussion

2 comments analyzed.

Concerns raised: Unclear how Lean tactics relate to actual proof writing requirements, Confusion about whether Lean requires writing out every proof step manually

Feature requests: Better documentation explaining Lean as functional language with dependent types, Clearer explanation of how datalog query system integrates with Lean proofs

Competitors

Other products that read as similar to this one — 2 launches clear the similarity bar.

Attention rank: #2 of 3 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 183 days after the earliest competitor.

Other launches for this product

Same idea, different domain

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