AI Agents2 weeks ago
Context Engineering Platform for Production-Ready AI Agents
Build production-ready AI agents using a visual canvas interface.
@salmanzafar949 · X
The full gallery
Tech stack
9 projects
Build production-ready AI agents using a visual canvas interface.
@salmanzafar949 · X
Build and deploy AI agents with persistent threads, webhooks, and scheduled tasks.
@computer_agents · X
Platform to build, deploy, and automate AI applications and business workflows.
@khemmapich · X
itself in the early days focus on help small business to run their business on ai agents with vibe coding, workflow automation, and ai employees.
Manage AI agent teams with a human-friendly interface.
jackcollinshq · Product Hunt
YAGNI Proactive agent teams you manage like humans
Browse and install AI agent skills for development, marketing, research, content, operations, and business.
@iamtrebuh · X
I’m building an AI skills marketplace -
Build and publish websites by chatting with Claude AI.
@UsmanHaider734 · X
Hi, i'm building an agentic website builder that lives and operates from within Claude AI. followed you, let's connect!
Convert one-sentence ideas into precise AI prompts for coding agents.
@_m3rl1n
Build and deploy production apps and AI agents through natural language prompts.
@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
Workspace to publish and manage HTML and Markdown artifacts from any AI agent with version history.
@slashdisplay · X
One feature, two agents, one URL. Carl published v1 from Codex. Claude Code iterated to the version that shipped – every hand-off attributed in the audit log. A 3-minute walkthrough of a real workflow: