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genpark-dpll-sat-solver-unit-propagation-skill

Davis-Putnam-Logemann-Loveland (DPLL) Boolean SAT solver engine implementing unit propagation, pure literal elimination, and backtracking search.

Details

External ID
1363430465
Source
GITHUB
Company
—
Product
genpark-dpll-sat-solver-unit-propagation-skill
Website domain
github.com
Launched
Sept. 10, 2026
Cohort
—
Upvotes
7
Upvotes percentile
0.05976172175249808
Tags
agentic-ai, automated-reasoning, boolean-satisfiability, dpll, genpark-skill, sat-solver
Fetched at
Sept. 14, 2026, 1:02 a.m.
Updated at
Sept. 14, 2026, 1:02 a.m.

Enrichment

Theme
specialized AI models and agent reasoning tools
Vertical
Horizontal
Function
Dev tools
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
dpll sat solver skill for ai agents
Manually corrected
False

Could you build this?

Yes The Davis-Putnam-Logemann-Loveland (DPLL) algorithm with unit propagation and backtracking is a classic computer science algorithm that LLMs can implement reliably out-of-the-box.

Competitors

Other products that read as similar to this one — 269 launches clear the similarity bar, closest 8 shown.

Attention rank: #124 of 270 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 311 days after the earliest competitor.

Other launches for this product

Same idea, different domain

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