
Puter Developer - The Backend for AI-Generated Apps
一个提供认证、存储和LLM集成的Backend平台,无需服务器或配置。
ent101 · HN
The Safe, Production-Ready Backend for AI-Generated Apps
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一个提供认证、存储和LLM集成的Backend平台,无需服务器或配置。
ent101 · HN
The Safe, Production-Ready Backend for AI-Generated Apps

MRRescue 为 Stripe 自动恢复失败支付,采用智能催收和重试策略。
@donidhernandez · X
building three web apps from Spain, all bootstrapped. is the payment recovery one


加密交易AI调查员,可分析交易、识别钱包和追踪被盗资金。
loopedcircuits · HN
AI Crypto Investigations/Research Agents

通过与Zen对话记录支出和收入,快速管理财务。
@rafael18209012 · X
Check out what I just built with Lovable!

Bargeldsucher - 无需电子表格跟踪资金收入、支出和余额。
@Susu_Omo · X
Shipped my first SaaS MVP today! Bargeld Sucher is a simple fund management app built to help track money received, expenses, and balances without spreadsheets. Built with: Next.js, Prisma I’d love your honest feedback. 🔗 #BuildInPublic #NextJS #SaaS

AI投资组合匹配器帮助您基于偏好找到理想的投资方案。
@sanjeevpai · X
I have been trying out a new idea at - A 100% vibe coded site that actually adds value. It is alpha v0.003 so far but beginning to take shape nicely. The AI agent completely redid the look and feel and behavior in one day. At this rate of growth, agents are going to put a lot of software vendors out of business.

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

阅读免费的Earnings Call文本或通过API和MCP服务器集成。
@RobGuerra90 · X
Building : access earnings call transcripts via a cheap API or MCP server. Pull any company's call right into your workflow.

将PDF银行对账单转换为Excel电子表格,自动提取交易数据用于记账和对账。
@_kushalpatel · X
Converts PDF bank statements into clean, editable Excel files in seconds. Built for bookkeepers, accountants, and anyone tired of manual data entry.

AI 问责伙伴,帮助创始人解答尖锐问题并执行 4 周计划。
@alesscavaz · X
Stop thinking, start building.

用Python或可视块构建交易机器人,进行回测并参与排行榜竞争,无需真金白银。
@CodeBullapp · X
Building CodeBull. A platform where you build trading bots with Python or visual blocks, backtest them on real-world market data, and compete against other users’ strategies. Zero risk. Just learn trading by building.