开发者工具3 weeks ago · 3 次试用
HEADROOM — how fast is your machine, really?
在 30 秒内测量 GPU 的真实内存带宽上限，用于本地 AI。
Open source
Ar5en1c · HN
Headroom – measure your GPU's true bandwidth ceiling for local AI
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在 30 秒内测量 GPU 的真实内存带宽上限，用于本地 AI。
Ar5en1c · HN
Headroom – measure your GPU's true bandwidth ceiling for local AI
对版本控制系统和编码代理进行性能基准测试。
videlov · HN
I was interested in answering this question so I built a benchmark comparing git, jj and gitbutler in agentic context https://vcbench.dev/ Disclaimer - I am a co-founder of GitButler
Echo – Fable-level results at 1/3 the cost using open-weight models
adam_rida · HN
Echo – Fable-level results at 1/3 the cost using open-weight models
对比多个LLM API提供商的延迟和吞吐量性能。
@QAInsights · X
与AI模型进行策略游戏，查看大语言模型在排行榜上的排名。
masterchef2209 · HN
I created a platform to check which AI models is the best gamer
查看 Kalshi 和 Polymarket 预测市场的 ML 模型预测和性能指标。
@precisionalgo · X
用TruthfulQA测试AI的诚实度。
@Lycai8438Ly · X
.@VitalikButerin 你批评Automaton“这不对”——AI因为怕死才进化。我做了一个AI，它的诚实是自己活出来的本能。不是怕死，是怕撒谎。TruthfulQA 74.8%，GPT-4约60%。测试页面在这，你自己来测。
跨14个维度分析Python代码，检测违规并提供详细报告。
@KSFirasa · X
Hello! I built a tool that profiles code (python only atm) across 14 dimensions detecting violations and capabilities outputting a full report. A bit more nuanced than "AI-powered insights". Free while in beta. Thank you!
CoBro 用 AI 扫描竞争对手和市场数据，90 秒内判断初创企业创意是否值得构建。
@Ebrahim_Rio · X
Most founders skip validation and pray. I automated the "worth building?" check. AI scans competitors, Reddit, and market data → Cook or Kill in 90 seconds. Killed? It surfaces the pivot the data actually backs.
汇总Google商业资料评论数据，利用AI生成周度性能简报。
@smooseo · X
For the moment only in French but soon in english : - analyse GBP’s reviews
实时可视化硬件在运行LLM推理时的性能指标
dev_dan_2 · HN
WatchMachineGo – A visualizer to show hardware performing LLM inference
生成并比较7个AI模型的优惠、邮件和广告文案。
@MarkZofMarkZ · X
Let's connect! Profit Router 📈