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Products that do what Merlin by Encord does
Manage your AI data infrastructure in a single conversation
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Hi HN! We are building [Merlin](https://www.usemerlin.io/), a GTM intelligence platform that gathers contextual insights about prospects and key stakeholders, so sellers don’t have to spend hours on tedious research tasks across hundreds of companies. Our thesis is that content generation and workflow/sequence automation providers are generating a lot of noise in social media (and inboxes) today and they are making the problem of outbound sales worse. We believe that every customer interaction (emails, cold calls or discovery calls) should be powered by intelligence. With…
2024 · usemerlin.io
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Hey guys, We’re excited to introduce to you what we’ve been working on for the past few months. We are two co-founders and we’ve both experienced on-call shifts where we felt unprepared, the relevant people weren’t around to help or we were left in the middle of the night trying to figure out what went wrong. Merlinn is an open-source AI on-call developer that lives in Slack. It can help you alleviate some of the pains mentioned above by connecting to your favorite tools and pair with you to triage the incident. We also have a pro version that we host on our cloud. Our goal is to help…
2024 · merlinn.co
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MerlinAI — Agentic AI for Construction Production
28d ago · merlinai.co
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A unified control plane for Magento with Claude Code web
Jun 2026
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- 20AA
We’ve published a set of open-source reference implementations on how to build production-grade Agentic AI applications on AWS. What’s in the repo: • Agentic RAG, memory, and planning workflows with LangGraph & CrewAI • Strands-based flows with observability using OTEL & Arize • Evaluation with LLM-as-judge and cost/performance regressions • Built with Bedrock, S3, Step Functions, and more GitHub: https://github.com/aws-samples/sample-agentic-frameworks-on-... Would love your thoughts — feedback, issues, and stars welcome!
2025 · github.com
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Hi HN — I built Elf0, a command-line tool to define and run AI agent workflows in YAML. It helps you iterate on small multi-step "agents" without scaffolding a whole codebase. The agent patterns described in Anthropic's article was an inspiration: https://www.anthropic.com/engineering/building-effective-age... I then used Nvidia's AgentIQ YAML spec as inspiration. Why: I keep bumping into tasks where a single prompt isn’t enough (e.g., extracting quote data from an insurance PDF). Defining the workflow in YAML makes it easy to version prompts, parameters and logic, and to…
2025 · elf0.com
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Hey HN, In the months since we initially released Burr (https://news.ycombinator.com/item?id=39917364), we have been hard at work. We wanted to share some of the most exciting changes we’ve made to build Burr out as a full-stack development framework for AI agents. In case you don’t recall, Burr is an open-source python library that makes it easier to build and debug GenAI applications & agents by representing them as graphs of simple python objects/functions. Burr only abstracts away system-level concerns (state persistence, debugging, observability), and does not…
2024 · burr.dagworks.io
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Hi HN! Sean from MindStudio here. I wanted to share something we've been working on that I think introduces some new ideas into the "AI coding agent" space. Remy is an AI agent that builds full-stack TypeScript apps from a spec written in a new flavor of annotated markdown. The spec has two layers: prose describing what the app does, and annotations that carry the technical precision (data types, edge cases, validation rules, code snippets). The agent then "compiles" this into code: backend methods, typed schemas, frontends, test scenarios, and everything else are derived artifacts of the…
Apr 2026 · remy.msagent.ai
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