开发者工具2 weeks ago · 3 次试用
Clusy | Agent-Native Notebook for ML and Data Science
在智能代理笔记本中构建、运行和评估机器学习工作流。
eldar_hsnv · HN
Show HN: AI Notebook for Data Science – Kind of Like Cursor but for Jupyter
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在智能代理笔记本中构建、运行和评估机器学习工作流。
eldar_hsnv · HN
Show HN: AI Notebook for Data Science – Kind of Like Cursor but for Jupyter
用独立验证的数据对比和评估 SaaS API，辅助自建或购买决策。
fenilsuchak · HN
OpenBenchmarks – Helping agents discover and pick the right SaaS APIs
向AI代理分配工程任务，自动生成拉取请求。
u/FMLatex · Reddit
Rustgrid - From mission to merge What if tickets became work orders for AI coding agents—connect a repo, assign the task, and get a pull request back. Looking for a few early testers: https://rustgrid.com Happy to bump for free any serious early adopter in exchange of feedback submitted by /u/FMLatex to r/SideProject [link] [comments]
自动QA智能体测试网页和移动应用，发现流程和漏洞，重放测试场景。
@AbdullahYusufY · X
Here is ours We are developing autonomous QA agents feel free to check it out.
用 Etch 追踪、回放和验证 AI 代理的决策。
u/Funky_Chicken_22 · Reddit
OSS to SaaS positioning problem: when the user persona and the buyer persona are completely disjoint Founder here. Sharing a positioning problem I think a lot of OSS-to-SaaS founders hit and don't talk about publicly. Context: I have been running an OSS project (world-model-mcp) with ~2,500 monthly PyPI installs. Two weeks ago I opened up the hosted companion, Etch, at etch.systems. Launched publicly on Product Hunt at 12:00 PDT yesterday. The positioning problem: OSS user persona: in
seus.ai 自动设计、构建和部署软件系统。
@Bim_evaporates · X
Check out DMs open
用生产轨迹测试AI代理，重现错误并捕获回退。
aisinghal
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
在3D中探索AI代理编排,实时监控项目健康和日志。
@patologico · X
在Google日历中调度AI代理任务
matt413 · HN
Schedule tasks for your AI agents from Google Calendar
Spendict – 为AI生成的广告创意评分，返回投放/修改/停止建议。
ds246 · HN
Spendict – a performance marketer's verdict for AI agents, over MCP
