开发者工具1 hour ago
Arkor: Build a custom model with your coding agent
Agent原生的TypeScript框架，在托管GPU上训练和部署定制模型。
Open source
@soleil_colza_ · X
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Agent原生的TypeScript框架，在托管GPU上训练和部署定制模型。
@soleil_colza_ · X
用自然语言问题查询电子表格和数据集，生成即时答案、报告和仪表板。
u/maybeImakemoney · Reddit
I built the thing. Now I am not sure the base use case is one people will pay for. Founder here. This started as a side learning project to see whether an LLM could answer questions about Excel data, back when they could not do it well. I built the first version on n8n, with workflows that ingested files, generated metadata with an LLM, and answered questions against the converted data plus that metadata. Then I started using it for my own analysis and report generation, saw that the time sav
使用 Claude Code 构建可通过 SMS 与外部系统交互的 AI agent。
jacobgc · HN
Outside Agent – Build SMS Agents from Claude Code
在浏览器中持续运行和管理编码代理的平台。
sakuraiben · HN
Reachpad – Run all your coding agents from anywhere from the browser
与AI代理聊天自动分类开发工作。
@suhaaspk · X
Hi! building Jungle ( Its a way for small teams to automatically triage bugs and feature requests to keep development moving while they sleep
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
ARGUS：为AI代理流程的可观测性平台，检测故障并解释根本原因。
@VaraadDurgaay · X
Solving the prb of observability in ai agents
智能体AI面试的LeetCode式Python编程练习，涵盖ReAct循环、RAG和工具调用。
@notunknownkyun · X
- leetcode style interview prep for agentic AI interviews and unskilling folks.
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
在多个AI编程环境中部署编排器生成和管理代理。
@EnzoV_sc · X
I’ve built a skill for agent orchestration so I don’t have to explain any session how to manage the next task. Pretty useful Through I can make my orchestrator spawn as many agents as it needs, from all harnesses (Claude Code, Codex, Grok Build etc..)
