金融商业1 month ago
LaunchAudit - AI SaaS Launch Readiness Audit | Ship Faster, Break Less
分析 SaaS 产品的上市准备情况，生成 AI 驱动的优先级审计报告。
@manoharkale1110 · X
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分析 SaaS 产品的上市准备情况，生成 AI 驱动的优先级审计报告。
@manoharkale1110 · X
审计AI应用的安全漏洞，获取完整检测报告。
u/mrtrly · Reddit
I asked ChatGPT 20 different ways who could fix a half-built app. It never named my company once. I do codebase rescue for founders in exactly that spot, so that one stung. There are already plenty of tools that measure this kind of AI visibility, a CDN even ships one free, so I built mine mostly to see my own number, and it confirmed the bad news: near zero. The measuring turned out to be the easy part. What none of the tools do, and what I actually care about, is the fix: getting the mode
审计您的品牌在ChatGPT、Gemini等AI中的可见性的平台。
@n1no_h · X
- It tells you why chatgpt, gemini or other chatbots cant see your brand and what to do about it!
发送真实AI代理测试网站，找出它们卡住的地方并获得修复方案。
@louiswharmby · X
It's funny how that happens! My dog vibe coded and managed to achieve 500 users in the first month! 🤣
监控 Core Web Vitals，衡量性能下降对收入的影响。
@AuditJet · X
Scanly：用AI即时审计网站的SEO、性能、无障碍和安全问题。
@proyecto_cripto · X
用AI审计网站UI/UX设计,优化可用性、无障碍和转化率。
@mydesignaudit · X
扫描网址获得AI可见性分数，检查对AI搜索引擎的优化就绪度。
@SearchAuditio · X
Hello! We built a tool to check the visibility of vibe coded sites and we also can fix the issues. You URL audit is free, no subscription :)
SlopStopper - 扫描应用的生产就绪问题，如安全性、功能性和可靠性。
u/jjd921 · Reddit
Production readiness checker With AI coding and the low barrier to entry now I see a ton of people publishing apps with serious issues. I tried to build something to help with this. It’s a tool that checks apps for production-readiness issues (security, functionality, reliability, accessibility, etc.) and creates a GitHub PR with the fixes. Automatic scans on every push/PR and deterministic auto-fixes are completely free. Do you see something like this being useful?: https://theslopstopper.c
分析并优化你的内容在 ChatGPT、Perplexity 等 AI 搜索引擎中的表现。
@BayofDomain · X
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
OptiLens runs a 7-agent AI audit on your store, prices every conversion leak in dollars, and cites 6 named CRO frameworks. Free, no card, 3 minutes.
@dipen_ai · X