laya-playground
A website, two games, a benchmark and an agent skill for Laya, the open-source decision model. Runs on your machine.
Details
- External ID
- 1378688797
- Source
- GITHUB
- Company
- —
- Product
- laya-playground
- Website domain
- brainfunctioncollapse.com
- Launched
- Sept. 20, 2026
- Cohort
- —
- Upvotes
- 153
- Upvotes percentile
- 0.9511273379451703
- Tags
- agent-skill, decision-model, laya, open-source, playground
- Fetched at
- Sept. 24, 2026, 5:02 p.m.
- Updated at
- Sept. 24, 2026, 5:02 p.m.
Enrichment
- Theme
- Vertical
- Horizontal
- Function
- Dev tools
- Audience
- Developer
- AI stance
- AI-native
- Project type
- Hobby / open-source project
- Normalized one-liner
- playground and benchmark suite for local decision models
- Manually corrected
- False
Could you build this?
Yes It is a web playground, benchmark suite, and simple browser game package that wraps and demonstrates an existing open-source decision model.
Competitors
Other products that read as similar to this one — 82 launches clear the similarity bar, closest 8 shown.
Attention rank: #7 of 83 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 313 days after the earliest competitor.
- laya-server · github · 2026-09-23 · 74 upvotes · similarity 0.51
- laya · github · 2026-09-18 · 15429 upvotes · similarity 0.49
- decision-playground · github · 2026-09-19 · 15 upvotes · similarity 0.47
- layaForWeb · github · 2026-09-21 · 18 upvotes · similarity 0.47
- laya-pilot · github · 2026-09-23 · 47 upvotes · similarity 0.46
- system1-agents · github · 2026-09-22 · 120 upvotes · similarity 0.46
- laya-jev-GraphRAG · github · 2026-09-23 · 39 upvotes · similarity 0.46
- sys1 · github · 2026-09-22 · 46 upvotes · similarity 0.45
Other launches for this product
- No other launches for this product.
Same idea, different domain
A concrete adaptation of this idea for Sales
DealPolicy Sandbox
DealPolicy Sandbox is a local simulation suite and decision-benchmarking tool for enterprise sales reps and deal-desk analysts. Users play through interactive, game-like negotiation scenarios—such as multi-round procurement pushback, MSA redlining trade-offs, and tiered discounting—evaluating whether human reps or autonomous sales agents follow optimal concession strategies. It runs entirely on-premise, allowing teams to simulate high-stakes contract friction without exposing confidential margin targets or pipeline data to cloud LLMs.
Enterprise B2B sales cycles hinge on complex, multi-variable mathematical concessions where commercial leaks to cloud providers are unacceptable and conventional conversational roleplay fails to evaluate actual deal-math outcomes.