
AI Benchmark Leaderboards & Model Evals | BenchmarkList
比较AI模型在多个领域的基准评估成绩和排行榜。
davidtsong · HN
Benchmarklist: track AI benchmarks (2.4k+), models, and capabilities
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比较AI模型在多个领域的基准评估成绩和排行榜。
davidtsong · HN
Benchmarklist: track AI benchmarks (2.4k+), models, and capabilities

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!

在 leaderboard 上按官方基准对比 AI 大模型的性能排名
fcten · V2EX
做了一个大模型 leaderboard 网站 最近一个月 CodeX 疯狂送重置,token 根本用不完,顺手做点东西。 地址:[知行录]( https://leaderboard.cn/) 排行依据主要为模型官方基准测试成绩。非主观排名。 数据会持续更新。如果有点用,欢迎各位 v 友收藏~

用独立验证的数据对比和评估 SaaS API,辅助自建或购买决策。
fenilsuchak · HN
OpenBenchmarks – Helping agents discover and pick the right SaaS APIs

PRcade 通过团队排行榜和分析可视化GitHub代码审查性能
u/SnooStrawberries827 · Reddit
my team had 47 open PRs and nobody was reviewing them, so I gamified it our team hit 47 open PRs at one point last month and nobody was reviewing them. tried slack reminders, deadlines, rotating reviewers, none of it really stuck. might be related to the fact that everyone's hyped about how fast AI can write code now, copilot cranking out entire features in hours, but none of that matters if the PR just sits there for a week. feels like writing code stopped being the bottleneck a while back

提交网站获得每日速度排名和性能监控。
@thefastestweb · X
daily speed monitoring for indie sites. Submit your URL, get ranked on a public leaderboard, and know the moment your performance drops.

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

为融资计划书评分并与加速器投资人相连。
@mehulshahca · X
1/ You already have a pitch deck. What’s next? I met Megan at @networkschool. She taught me vibe coding. 10 days later, I shipped a new startup venture: Humans of Network School #03 🧵

上传 CAS PDF 获取 AI 驱动的基金组合分析和配置洞见。
@iASHeeesh · X

让AI模型通过3D动画展现香蕉植物的完整生命周期来比较性能。
fran-mora · HN
I gave 5 AI coding agents one prompt: grow a banana plant through its whole life in three.js: sprout, leaves, flower, fruit, rot, then pups that restart the loop. It's deceptively simple and yet very hard to get right from procedural code: you have to write working three.js and understand how the plant is actually built; how it hangs, ages and decays. Get the biology wrong and the code renders something weird. These are agents, not bare models (Claude Code and Codex for now). They can use tools, including playwright to check their work and improve it.

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

查看LLM模型在10个基准问题上的评分和排名。
fristovic · HN
She watched me look at model rankings and asked what do the numbers mean... I literally had no good way of explaining it to her so I just came up with something that is approximately in the same ballpark as some of the benchmarks out there lol