开发者工具1 week ago
API Testing Tool for Load Tests and Monitoring | API Test Lab
免费的 API 测试、监控和分析平台，提供实时洞察。
@SajidAbuba74138 · X
A tool for developers
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免费的 API 测试、监控和分析平台，提供实时洞察。
@SajidAbuba74138 · X
A tool for developers
通过 API 创建一次性邮箱，自动捕获测试中的 OTP 和邮件。
@MailFixture · X
根据需求自动生成测试用例和脚本。
@SEOexpertpkk · X
AI-Driven Test Automation Platform
实时监控 Arcium MPC 网络活动、代币指标和持有者流向。
@zerokn0wledge_ · X
Hey @arcium fam, check out a free realtime data analytics dashboard built on open data I vibe-coded with my fren @claudeai Fable 5: - Live network pulse: computations, clusters, nodes and epochs straight from the Arcium explorer - Program leaderboard: every MXE identified and ranked, network concentration quantified - Holder map: full-chain solana:ARXwZkNAtzPfdcoqQiduJn8EPv9fKiDfGn2KyggyDrFs wallet scan via @heliuslabs, whales tagged, flows tracked in realtime, verifiable on @solscanofficial - Token + valuation: @coingecko market data and a TAM-grounded scenario models you can control/customize - X intel: sentiment and narratives sampled and analyzed live by @grok - Interactive deep dive into how the encrypted supercomputer actually works Every label evidence-verified. Every number sourced. no paywall. V0 live now. Feedback appreciated.
Vulnsy是为安全团队提供的渗透测试报告平台，可10倍快速交付客户报告。
@TurvSec · X
虚拟宠物伴侣，在你的 browser viewport 中爬行，根据 page topics 做出响应。
@fujidevv02 · X
the world's first context-aware, local AI browser pet companion!
检测API中转站输出是否与官方100%一致
@nodeloc_cc · X
🌈 7月，你好，MODELOC上线算力池。 MODELOC自上线以来，已检测2000余次，覆盖600+中转站，为众多AI用户提供的使用参考。 MODELOC近期进行了改版，上线了算力池及市场。 加入算力池 查看帖子： 用 MODELOC 便宜地调各家大模型：一次讲清它的价格体系
为现代团队自动化负载测试，无需复杂设置或手动脚本编写。
@GorodkovVi85373 · X
- load testing made easy even without enginnering team. Faster, cheaper, distributional
项目管理、文档和测试管理的一体化工作空间。
@klorityx · X
One workspace for project management, documentation, test management & CRM. Enterprise features without enterprise pricing.
用对抗测试检查LLM端点安全，获取OWASP审计报告。
@aryaan_sheth · X
- LLM security for small teams
将CVE漏洞数据转换为机器可读风险信号，供AI代理和自动化系统使用。
robert_marshall5 · Product Hunt
attestd CVE and supply chain risk signals for autonomous AI agents.
让AI模型通过3D动画展现香蕉植物的完整生命周期来比较性能。
fran-mora · HN
I gave 5 AI coding agents one prompt: grow a banana plant through its whole life in three.js: sprout, leaves, flower, fruit, rot, then pups that restart the loop. It's deceptively simple and yet very hard to get right from procedural code: you have to write working three.js and understand how the plant is actually built; how it hangs, ages and decays. Get the biology wrong and the code renders something weird. These are agents, not bare models (Claude Code and Codex for now). They can use tools, including playwright to check their work and improve it.