开发者工具1 month ago
API Testing Tool for Load Tests and Monitoring | API Test Lab
测试和监控 API，获得实时见解和负载测试功能。
@SajidAbuba74138 · X
A tool for developers
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测试和监控 API，获得实时见解和负载测试功能。
@SajidAbuba74138 · X
A tool for developers
按需进行来源支撑的研究，生成定期报告或通过API集成。
@Robhay3s · X
Add a bug report widget in 30 seconds. It captures errors, user journeys and failed API calls — then AI analyzes your code and opens a pull request with the fix.
@syedarhamalii · X
向应用添加小部件，自动捕获用户报告错误时的截图、控制台日志和网络错误。
@markoradotme · X
OutageDeck 监控 160+ 云服务商故障并通过邮件、Slack、Discord 或 Webhook 接收告警
@outagedeck · X
OutageDeck, outage alerts for 168 cloud vendors (AWS, Cloudflare, OpenAI, Slack), built only on their official status feeds. No crowd reports, no scraping, no false positives. Free email alerts for 5 providers + a free JSON API, no key.
通过 API 和仪表板上传、存储和交付媒体文件。
@SOrjiude · X
Hey Peter, you can store those files here
机构级金融数据API，专为AI和开发者优化。
u/wisesheets · Reddit
Most stock APIs are very expensive, have tons of data mistakes, and are not built for AI. Most stock APIs are expensive, have data mistakes, and are not designed for AI, so we built one. We recently launched the Wisesheets API and MCP server after repeatedly running into the same problems with financial data providers. Some APIs cost hundreds or thousands of dollars per month. Others have strict request limits and make it difficult to pull bulk data for screening or broader market analy
AI工具，通过分析会议记录检测范围蔓延，为代理商和自由职业者标记风险。
@theshaunak_twit · X
使用已验证数据对比和基准测试 SaaS API，决定是否构建或购买。
fenilsuchak · HN
OpenBenchmarks – Helping agents discover and pick the right SaaS APIs
监控服务正常运行时间，获得AI驱动的事件分析和即时警报
@Alphasf9 · X
Just launched PulseBoard 🚀 Uptime monitoring with AI-powered incident analysis, instant alerts & public status pages. Built with: Node.js • React • Redis • PostgreSQL • Docker Try it free 👇 #buildinpublic #opensource #webdev #SaaS #devtools
通过SocialCrawl的统一API从44个社交媒体平台提取数据。
u/dooddyman · Reddit
I launched 2 SaaS. First failed brutally. Second hit $5k MRR in 3 months. What worked and didn't. tldr: My first AI SaaS failed because I built blindly, outsourced marketing, and had no clear ICP. My second product hit $5k/mo in 3 months because I built an audience first, obsessed over SEO and distribution, and targeted a specific niche. I launched my first AI SaaS last year, kept it alive for about a year now. It's making less than $50 mrr and i'm thinking of closing it. Here's what went
