
GCGG
AI-powered match analysis for League of Legends
What it does
Unlike existing products that focus on aggregated statistics across multiple matches, our service analyzes individual League of Legends matches in detail. This allows players to understand specific decisions, positioning, mistakes, and gameplay patterns within a single game rather than relying only on overall trends. By focusing on match-level analysis, we provide more contextual and actionable insights for each performance.
Does the same job
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Sigma AnalyticsJul 2026 · sigmaanalyticsarg.com · ▲8Unified tactical analysis and club administration platform.
More life & fun this month
the category →- TL
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Launched alongside, May 2026
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Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai


- NW
Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com
- FM
Dev tools · May 2026 · github.com