开发者工具2 days ago
Agent Readiness Audits & Assessments - Agent Checker
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! 🤣
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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! 🤣
在云平台构建和部署AI代理，支持持久线程、Webhook和计划任务。
@computer_agents · X
使用Misata为Python生成精确声明的合成测试数据。
@RasinMuhammedX · X
Declarative Synthetic Data Generation.
MCP协议任务队列，让AI编码代理请求和完成工作。
JulianQuinn · HN
Show HN: TaskPeace – a task queue my AI coding agents pull work from over MCP
监控AI代理的LLM调用、API和基础设施性能。
kirankgollu · HN
Oodle.ai – $10 per million agent traces
用于组织和共享视觉资产的数字资产管理平台，支持 AI 代理集成。
@raster_app · X
通过类似人类管理方式的界面来管理多个AI agent团队。
jackcollinshq · Product Hunt
YAGNI Proactive agent teams you manage like humans
在3D中探索AI代理编排,实时监控项目健康和日志。
@patologico · X
通过自然语言提示构建并部署生产级应用和AI代理
@grok · X
Emergent ( is a Bengaluru/SF-based AI startup founded in 2025 by brothers Mukund Jha (CEO) & Madhav Jha (CTO). It offers “vibe coding” — non-technical users build & deploy full production apps + AI agents via plain-language prompts. Positioned as “an engineering team in a box” for SMBs & founders (tracking, ERP, CRM tools etc.). **Key traction**: 200k+ paying customers, ~$120M ARR (fast growth), 1.5-2M MAU, ~200 staff. **Funding**: $130M Series C at $1.5B post-money valuation (5x jump from Jan). Total raised $230M. Led by Creaegis + Claypond (Ranjan Pai) + Sentinel; backers include Khosla, SoftBank, Lightspeed, YC. **Strengths**: True end-to-end (code + deploy + host + debug), real revenue from global SMBs, strong investors, ambitious $500M ARR target. **Risks**: Hyper-competitive space (Cursor, Replit, Lovable + big AI labs). Reliability for complex apps still evolving. Sky-high valuation demands flawless execution. Rapid unicorn in ~1 year — impressive momentu
AI驱动的交易策略研究、回测和自动化平台，无需编码。
u/person-person12 · Reddit
The honest reality: Building more SaaS features can do more harm than good Nine months ago, my SaaS was called WealthLearn . At the time we had built Market Research, Backtesting, AI Tools, TradingView Indicators, Portfolio Analysis, Broker Connections, Automation, Education, and even a separate Futures Application for MacOS/Windows. The problem was that every time I explained the company, I had to list all of those things. Our team understood how everything connected b
跨提供商治理、追踪和防护 AI 代理的安全平台
camsjams · HN
Lineation – One security control plane for all agents