开发者工具1 month ago
I am speed. A fast.com-style benchmarking tool for LLM APIs | OpenAI, Anthropic,
对比多个LLM API提供商的延迟和吞吐量性能。
@QAInsights · X
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17 projects
对比多个LLM API提供商的延迟和吞吐量性能。
@QAInsights · X
分析会议记录以检测范围蔓延风险并生成警报。
@theshaunak_twit · X
ScopeShield ( A platform designed to kill scope creep for agencies and teams before it eats their margins. Built so you don’t forget scopes and stop doing unbilled work.
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
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.
WebMoment - 记录并回放网站在任何时刻的外观。
@WebMomentApp · X
Dropping here, for saving how websites looked before the next redesign changes everything: @WebMomentApp
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
通过评分、护城河分析和竞争对手差距来验证 SaaS 想法的防守性。
@saralsachan · X
估算LLM推理所需的显存、延迟、TTFT、TPOT与吞吐量。
popopanda · HN
LLM Inference Calculator – Estimate VRAM, Latency, and Throughput
监控您的移动应用在 App Store 和 Google Play 的合规期限。
u/UndefinedCurve · Reddit
I spent a lot of time researching problems that I could solve. This is what I built. Hey everyone, I'm a 17-year-old CS student. Instead of building another AI wrapper, I spent the last few weeks reading Reddit threads, App Store rejection posts, and developer forums to find a problem worth solving. I found out that numerous apps are rejected every year due to constant changes in the policies of the App Store and Play Store. So I built Veravo. You tell it about your app, and it tracks
FlexInference: 通过多个提供商路由LLM API请求，降低成本和延迟。
Aperswal · HN
Made a Free LLM Router
监控 Core Web Vitals，衡量性能下降对收入的影响。
@AuditJet · X
CoBro 用 AI 扫描竞争对手和市场数据，90 秒内判断初创企业创意是否值得构建。
@Ebrahim_Rio · X
Most founders skip validation and pray. I automated the "worth building?" check. AI scans competitors, Reddit, and market data → Cook or Kill in 90 seconds. Killed? It surfaces the pivot the data actually backs.