AI Agents1 month 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
12 projects
Build production-ready AI agents using a visual canvas interface.
@salmanzafar949 · X
Platform to govern, trace, and defend AI agents across providers
camsjams · HN
Lineation – One security control plane for all agents
Content workspace that automates production pipelines through AI conversation.
@wesselsHQ · X
AI tool that discovers hidden bugs in your application using verification analysis.
@uriel_bitton · X
As you add more features to your vibe coded app, you increase the chances for bad behaviour. The worst part is you dont know they exist Every beta user i've had try out the app told me they found a few issues they had no idea existed Find yours using
Stream Claude Code agent execution from the cloud via HTTP API calls.
karakanb · HN
Epho – run Claude Code with a curl
Send real AI agents through your website to identify and fix where they get stuck.
@louiswharmby · X
It's funny how that happens! My dog vibe coded and managed to achieve 500 users in the first month! 🤣
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:
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
Debug and monitor AI agents with real-time visualization and performance analytics.
@simranrambles
AI agents embedded in your product to automate customer onboarding and support tasks.
thisiskp_ · Product Hunt
Skippr AI The live AI employee inside your product, serving every user
Monitor LLM calls, APIs, and infrastructure performance for AI agents.
kirankgollu · HN
Oodle.ai – $10 per million agent traces
Map software architecture, dependencies, and ownership to help teams and AI agents understand systems.
u/keiloktql · Reddit
i built a living architecture map after redrawing the same stack for every project heya, i'm a design engineer at 8starlabs. i just launched canopy. i kept redrawing architecture diagrams for hackathons, work, group projects, and side projects. they were useful at first, but quickly became outdated. canopy turns your stack into a living map. you can import a github repo, see services and dependencies, track costs and ownership, publish maps, and export context for ai coding tools. try i