kimi-k3-in-c
A 2.78-trillion-parameter Kimi K3 running inference on a single CPU in 8.24 GB of RAM. Portable C99: no BLAS, no framework, no GPU.
评分证据
41/ 100 机会强度置信度 1/5 · 不进榜
- 需求真实性
- 10/20
- 3814 GitHub stars show high interest from AI/edge computing communities, but no paid adoption.
- 抗覆盖壁垒
- 8/20
- Extreme C99 optimization provides technical moat, but open-source Apache-2.0 eases replication.
- AI 必要性
- 3/15
- Optimized inference runtime; AI itself is not the product's core value—performance engineering is.
- 付费意愿
- 2/15
- No public pricing; open-source project with no payment signals.
- 前景信号
- 8/15
- 观测窗口仅 4 天（需 ≥7 天），领先指标尚不可测，按滞后指标定档
- 市场可及
- 9/10
- Clear audience (AI/ML engineers) reachable via GitHub and tech blogs; no sales team needed.
- 团队
- 1/5
- No team information available.
- 好用度
- 未实测（不是 0 分）
- 可进入性
- 22/25
实测证据
T-C · 自动体验
The product is a local C99 implementation requiring download and local execution; no online demo or interactive playground is provided.
- 基准任务
- 未形成可评分任务
- 一致性
- 未测
- 输出质量
- 未测
- 失败模式
- 未观察
- 回退路径
- 未观察
- 好用度
- 不计分
查看经过清理的原始记录
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"skilled.dev",
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"AI",
"Artificial Intelligence",
"Data Science",
"Machine Learning",
"Python",
"Fareed Khan",
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}信号时间线
5 个快照点目前只有 5 个量化点；至少 7 个有效点才展示趋势。
- 可访问公开信号 3814产品更新 2026-08-07
- 可访问公开信号 3310产品更新 2026-08-07
- 可访问公开信号 2837产品更新 2026-08-06
- 可访问公开信号 2594产品更新 2026-08-01
- 可访问公开信号 2182
追踪信息
- 首次发现
- 2026-08-05
- 发现来源
- github_search
- 快照天数
- 5
- 仓库
- FareedKhan-dev/kimi-k3-in-c