
EVE - Enterprise Virtual Executive
为D2C品牌提供库存智能分析,帮助检测缺货风险和滞销品。
@heydevottam · X
I'm building EVE — an inventory intelligence platform that helps D2C brands detect stockout risks, dead stock, and profit leakage before they become costly.
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为D2C品牌提供库存智能分析,帮助检测缺货风险和滞销品。
@heydevottam · X
I'm building EVE — an inventory intelligence platform that helps D2C brands detect stockout risks, dead stock, and profit leakage before they become costly.

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:

用 AI 工具发现热销产品和市场趋势,助力在线业务增长
@Profiteer_Site · X

上传银行对账单和发票,自动生成分类账和GST对账账簿。
@pujaabharadwaj · 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

实时监测竞争对手的价格变化、职位发布、广告、内容策略、评价和技术栈。
sven_de_meyere1 · Product Hunt
Glimpse The competitive intelligence agent

AI工具在90秒内通过财务分析和风险评估来压力测试商业创意。
@AIWMCX1 · X
Consultants don’t need more noise. AIWMC Quantis helps turn messy business ideas into clear scenarios, runway views, and risk signals — so you can spend less time rebuilding analysis and more time giving the client a real answer.

InvoiceAI 用人工智能快速解析发票,帮助自由职业者和小企业提取关键信息。
@AmanSha72844101 · X
I have build an invoice parser tool for CA freelancer and small businesses and I build it with Cursor + Claude Those are my vibe coding tool not ____ you know Here is the link 👇

语音销售记录器,自动追踪库存和利润。
@Blissiyke2 · X
Check out what I just built with Lovable!

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

Argutum:与AI聊天并根据消息质量赚钱。
u/as-333 · Reddit
Built an AI chat that pays you per message, scored in real time: looking for feedback I've been using Claude Code to build Argutum, an AI assistant that scores every message you send (0–100, five dimensions: complexity, novelty, structure, domain expertise, conversational depth) and pays you for the good ones. The underlying idea is that your prompts get sold as training data to AI labs, so you should get a cut instead of it happening for free. Stack: Next.js 16, Groq/Llama 3.3 70B, custom

追踪支出和预算,获得AI支持的消费洞察。
@ChesterTweets4 · X
Check out what I just built with Lovable!