金融商业2 months ago
Lexfi - The Financial Intelligence Layer for Your AI
使用AI驱动的自动化投资洞察分析实时金融数据
@tonylexfi · X
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19 projects
使用AI驱动的自动化投资洞察分析实时金融数据
@tonylexfi · X
Schematic AI is an AI data analyst that lets businesses upload CSV and Excel files, ask questions in plain English, and get trustworthy insights from their data in seconds.
@Ishaan_Gill_5 · X
导入业务数据，用AI分析利润率和财务决策。
@xzen_FH · X
Looking to connect with people interested in: 🔹 SaaS 🔹 Startups 🔹 AI / ML 🔹 Data Science 🔹 Vibe coding What are you working on right now? Drop it below 👇 Would love to see what everyone’s building.
Proofly 分析 AI 内容，识别不实声明和写作问题，提高内容可信度。
drgndeznts_kk · Product Hunt
Proofly Don’t Just Trust AI. Check It.
从上市公司财报电话会议生成AI摘要和分析。
@thatmarkzhong · X
用 LLM 评估 AI agent 对话质量，提供评分卡和成本分析。
@tech_maju · X
AppTruth AI — 通过AI验证发现应用中的隐藏漏洞
@uriel_bitton · X
As you add more features to your vibe coded app, you increase the chances for bad behaviour. The worst part is you dont know they exist Every beta user i've had try out the app told me they found a few issues they had no idea existed Find yours using
分析AI智能体会话数据，了解用户行为并调试问题。
screm · HN
Product analytics (and evals) for agent sessions on your MCP
调试多智能体AI管道，具有时间旅行检查功能。
suraj_chopade · Product Hunt
SwarmTrace Time-travel debugger for multi-agent AI pipelines
用多个模型实时审计AI回应以判断其可靠性。
u/inc_23 · Reddit
Hey, I created a tool that catches when your LLM is confidently wrong, in production, in real time — looking for beta testers. Your bot sounds sure of itself even when it's wrong, and you usually only find out when a customer complains. Auscope audits every LLM response in the background: 3 models from 3 different providers independently check it, a 4th "chairman" model resolves disagreements, and you get one verdict — verified, uncertain, or unreliable. Runs async, doesn't slow your respon
爬取你的网站检测 SEO 问题,并检查 AI 系统是否能理解你的品牌。
@CodeFinality · X
I built Rofix a SEO audit engine that helps developers and founders find what’s hurting their websites Hey nightriders, I’ve been building a side project focused on helping SaaS founders, indie hackers, and developers understand their website SEO without needing expensive enterprise tools. The idea came from a simple problem: Most SEO tools are either: ● Too expensive for small projects ● Overwhelming with hundreds of reports ● Focused on rankings instead of fixing actual issues I wanted to build something more developer-friendly: a tool that crawls a website, analyzes important SEO signals, and gives actionable feedback. What currently does 🔍 Website crawling ● Scans pages and analyzes technical SEO factors ● Finds missing metadata, issues, and optimization opportunities 📊 SEO audits ● Checks titles, descriptions, headings, links, page structure, and more 🔗 Link analysis ● Helps discover backlink opportunities and understand link profil
