
letRetro - AI-Powered Retrospectives for IT Teams
AI驱动的IT团队回顾工具,连接各类工具并识别改进模式。
@akadhanu · X
an ai sprint retrospectives for it teams (
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AI驱动的IT团队回顾工具,连接各类工具并识别改进模式。
@akadhanu · X
an ai sprint retrospectives for it teams (

用AI分析追踪个人财务,支持预算管理和财务目标规划。
Elias569 · GitHub
fintech-dashboard fintech dashboard for personal finance management which track income and expenses, leverage AI-powered analytics, manage budgets and financial goals, enjoy a dark theme

用AI审计网站UI/UX设计,优化可用性、无障碍和转化率。
@mydesignaudit · X

聚合并查看来自AI代理的上下文丰富的交互式简报。
flysonic10 · HN
Meltbox – where your agents send you briefs

扫描网站的AI设计模式,评分其设计的AI生成程度。
hubraumhugo · HN
Design slop is the feeling that tells you a website is purely AI-generated. This is an attempt to classify the design patterns behind it. Applying this scoring to recent ShowHN submissions shows that about a third of the submissions show medium to heavy design slop: https://slopcop.adriankrebs.ch/show How the scoring works: - A headless browser loads each site (Playwright) - A small in-page script analyzes the DOM and reads computed styles - Every pattern is a deterministic CSS or DOM check. There are false positives, but my manual QA run verified it’s maybe 5-10%. Is design slop bad? Not really, just uninspired. After all, the web was never about the fanciest design, and before the AI era, everything looked like Bootstrap. However, there is a difference between trying to craft your own design and just shipping with whatever defaults the LLMs output. And the same has been the case pre-LLM when using CSS/HTML templates. I guess people will get back to crafting beautiful design

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


检查你的 AI 应用的安全性、隐私和治理准备情况。
u/Budget_Lawfulness_33 · Reddit
I made a tool that bridges the gap between vibe coding and actually knowing what you shipped A lot of people are shipping things they don’t fully understand anymore. With the new flagship models such Claude/Codex and people spending hundreds on AI subscriptions to build faster, apps are being shipped quicker than ever. But when you’re constantly throwing prompts at AI, adding features, and moving fast, it’s easy to lose track of what actually made it into your codebase. So I built: https




实时仪表板展示 AI-agent 公司的 ARR、MRR、任务和活动。
pro_methe5 · HN
I scrape an $8.5M-ARR company run by AI agents and chart it live