
FinBooks: AI-Powered Accounting Automation for Indian Businesses
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
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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

审计QuickBooks或Xero,自动查找和恢复重复付款及供应商超额收费。
@AdiSanghaviLeak · X
Building Leaki ( Leaki is an AI platform that detects revenue leakage, fraud, billing errors, and financial anomalies before they become costly. Always happy to connect with founders, AI builders, and SaaS teams!

免费的网站安全扫描器,检查 SSL、headers 和合规性,提供即时的信任分数和 AI 指导的修复。
@MrPenetratorTP · X
MrPenetrator helps businesses monitor their website’s trust, security and performance before problems affect their visitors.

扫描AI账单找出浪费支出,用防篡改证据证明节省成本。
@askrashidkhan · X

根据需求自动生成测试用例和脚本。
@SEOexpertpkk · X
AI-Driven Test Automation Platform

简历检查和AI职业测试工具,评分您的工作安全指数及自动化风险。
@_b_meet · X

购买并免费试用专业AI代理来自动化繁琐的业务任务。
@coastallife831 · X
Everyone sells one AI chatbot. We sell 80 specialists you can test-drive instantly.

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

为Telegram社区自动化支付墙,通过Stripe接受经常性付款。
@Unloqqq · X
I still hope that helps

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.

Vault_76:一个用于管理设备租赁、付款和库存追踪的系统。
@ShakibMd93031 · X
Built an Equipment Rental Management System to simplify rentals, payments, and equipment tracking. Looking for businesses interested in a demo or a customized solution.

使用在微虚拟机中运行代码的AI代码审查来捕获更多漏洞。
u/dumbfoundded · Reddit
Ito, AI Code Review that Runs Code I've been using AI code review tools but none of them actually run code so I built one: https://www.ito.ai/ The way it works is that it uses microVMs to spin up your environment with all of the services running. Then a bunch of AI agents go and test the application to collect runtime evidence. The result is you get test cases along with evidence about whether or not the test cases pass or fail. The runtime evidence can be videos, request/response curls, db