genpark-push-relabel-fifo-max-flow-skill
Goldberg-Tarjan Push-Relabel maximum flow algorithm with FIFO vertex discharge and height relabeling
Details
- External ID
- 1392944293
- Source
- GITHUB
- Company
- —
- Product
- genpark-push-relabel-fifo-max-flow-skill
- Website domain
- github.com
- Launched
- Sept. 28, 2026
- Cohort
- —
- Upvotes
- 7
- Upvotes percentile
- 0.05976172175249808
- Tags
- agent-skills, combinatorial-optimization, fifo-discharge, goldberg-tarjan, max-flow, mcp, network-flow, preflow-push, push-relabel, python-standard-library, residual-graph
- Fetched at
- Oct. 1, 2026, 1:02 a.m.
- Updated at
- Oct. 1, 2026, 1:02 a.m.
Enrichment
- Theme
- 3D graphics and physics simulation tools
- Vertical
- Horizontal
- Function
- Dev tools
- Audience
- Developer
- AI stance
- Not AI
- Project type
- Hobby / open-source project
- Normalized one-liner
- push-relabel maximum flow algorithm implementation
- Manually corrected
- False
Could you build this?
Yes The Goldberg-Tarjan push-relabel maximum flow algorithm is a classic textbook computer science algorithm that AI models can implement and test without external dependencies.
Competitors
Other products that read as similar to this one — 908 launches clear the similarity bar, closest 8 shown.
Attention rank: #677 of 909 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 332 days after the earliest competitor.
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Other launches for this product
- No other launches for this product.
Same idea, different domain
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