
AEO Audit Tool - Answer Engine Optimization Analysis | AEOAuditTool.com
分析并优化你的内容在 ChatGPT、Perplexity 等 AI 搜索引擎中的表现。
@BayofDomain · X
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分析并优化你的内容在 ChatGPT、Perplexity 等 AI 搜索引擎中的表现。
@BayofDomain · X

发送询价单、收集供应商报价、生成客户报价,无需电子表格。
@stephanebalon · X
a SaaS for product-based SMBs that rely on supplier pricing to prepare customer quotes. It centralizes RFQs, supplier responses, pricing history, ETAs and margins—so teams can quote faster, protect profitability and stop searching through emails and spreadsheets

连接Stripe账户自动恢复订阅业务的失败支付收入损失。
@ardent__dev · X
Recover lost revenue before it turns into Churn

一体化销售点和业务管理系统,适用于零售、餐厅和药店。
@Biacode03 · X

记录交易、追踪权益曲线和性能的交易日志应用。
@NimraWeb3 · X
So I vibe coded my own with Lovable TradeBook. Log trades w/ session, killzone, model, grade, R:R + screenshots, track multiple accounts, get a real dashboard (equity curve, win streaks, pair/session breakdowns). Demo: GitHub:

使用 AI 进行股票分析,获取估值和波段交易建议。
@WingGirlTrader · X
Here is a prime example of how AI is having the day trader look more like an investment portfolio manager. I mean this is exactly what you are talking about. Its here already.. and with vibe coding, it is super low cost. In this case below FREE at

统一 Stripe、Paddle 等支付平台的收入数据,追踪 MRR 目标进度。
@Ranjith_Snifty · X
TargetMRR helps to reach your targeted MRR.

Salable:基于 Stripe 的混合计费平台,处理定价、权限和团队访问。
@__orderandchaos · X

STROKIX 连接多个业务工具的 AI 工作区,让团队提问和批准操作。
@Strokixx · X

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

为独立创业者设计的现金流仪表板,追踪烧钱速率和资金跑道。
@kaki_llc · X
Check out what I just built with Lovable!

YouEx.ai 是面向 B2B 销售团队的 AI 原生 CRM 平台,自动捕获、丰富、评分和分配线索。
u/youex-ai · Reddit
Built a CRM w/ MCP -- Biggest misunderstanding on first look? We launched an MCP connector a few weeks ago that connects our CRM data. We're still working through our product market fit, so I asked Claude What is the biggest thing people misunderstand about YouEx.ai when they first see it? I was actually not even thinking about researching our actual CRM data, but that's what it did. The answer was actually really insightful: Your own data points at it: a large sha