开发者工具3 weeks ago
Armature · Product analytics for agent sessions
分析AI智能体会话以理解用户行为和调试问题
screm · HN
Product analytics (and evals) for agent sessions on your MCP
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分析AI智能体会话以理解用户行为和调试问题
screm · HN
Product analytics (and evals) for agent sessions on your MCP
帮您找到理想客户并优化营销时机的AI工具。
@FondoAdam · X
#marketingtips
AI产业链股票池，支持美股/A股映射及一键部署。
yaoleifly · GitHub
ai-stock-pool AI industry-chain stock pool with US/A-share mapping, active discovery, policy pressure, and one-click deployment.
Choicease帮助你用AI逐步分析复杂决策，理清权衡并获得建议。
@arunkumarkundra · X
I vibe coded this app: My experience has been mixed. It is an iterative process, and you need to push back. But over time, I have seen Claude get better. If not for AI, I couldn't have developed the app in the first place, so I am thankful 🙂
用 LLM 评估 AI agent 对话质量，提供评分卡和成本分析。
@tech_maju · X
AI交易助手：分析股票、审查过去交易中的重复错误、回答投资组合问题。
kartik_krishnakumar_mishra · Product Hunt
TradeX The AI-Powered Brokerage for Smarter Trading
UIZZE 分析 UI 截图并为 AI 代理提供设计审计。
u/albanianspy · Reddit
the boring internal tool became the product we didn’t start with a saas idea. we were just annoyed that every agent-built UI looked weirdly related. so we made an internal finish gate: real screen references, a design contract, browser checks, and a ban list for generic AI defaults. one developer kept asking why it wasn’t public. eventually we stopped having a good answer. now UIZZE has a few paid users. builder disclosure: it’s mine, $9/mo or $99 lifetime: https://uizze.com current
SeeBet.ai：查看NFL博彩赔率、盘口变动和十年回测数据的分析工具。
u/sebriz · Reddit
I built an institutional NFL data terminal that audits 44 situational factors against 10 years of market data [Open Beta] Hey everyone, I wanted to share a side project I’ve been building called SeeBet.ai . As someone who loves sports data, I got tired of generic broadcast hype, sports betting "gurus," and subjective narratives about things like "revenge games," travel fatigue, or short rest. I wanted an institutional, zero-hype terminal that simply audits physical reality against market
用于宏观经济研究的AI平台，包含每日分析、央行监测和交易工具。
@ChrizBogota · X
A great demo of why in Financial Markets you have to use Grok, it's not affected by "training cut-off date" like the other models. is 100% run on Grok, (but mostly built with Claude).
Whetstone 将 AI 候选方案与基准对比，否决回归并返回可审计的决策。
@JustinGarr90748 · X
We're building Cyberelf labs because a better score doesn't mean a better model.
诊断你在技术领域的知识空白，获得个性化AI学习计划。
u/safi1409 · Reddit
I built a learning path builder tool powered by AI — maps your knowledge gaps and builds a focused learning path Hey everyone, sharing a side project I've been working on. The problem: When you're self-learning a technical field, you don't know what you don't know. Most people either follow a generic roadmap or keep consuming content without a clear picture of their actual gaps. I personally have completed multiple courses which reiterate the same thing because I was not sure if I had act
