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AI · September 14, 2023

APEX

Future of Agile with LLMs enhancing product management.

APEX launched on September 14, 2023 with 26 votes, #1,355 of 4,228 launches that month and more than 50% of that year's launches. The site was still online in September 2026, 3 years on.

What it does

Ever wondered how the future of Agile looks with the integration of Large Language Models (LLMs) like GPT? Introducing APEX: A groundbreaking approach that harnesses the power of LLMs to supercharge product management, design, and engineering.

Military-grade operational rigor. Zero tolerance for failure. Veteran-owned.

Veteran-owned. We deploy AI systems that don't miss. Custom CRMs, autonomous agents, and operational infrastructure for organizations ready to scale. AI automation, government solutions, and operational leadership. Each division built to drive measurable results within 90 days. Custom AI agents, CRMs, and autonomous systems deployed for your specific industry. From lead capture to client management — we build the infrastructure that scales your revenue. End-to-end solutions for federal, state, and local agencies. Built by veterans who spent their careers inside these systems. We embed as your fractional COO or CTO. Build your internal tech stack. Deploy AI across every workflow. Scale your…from useapex.io

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  • Arch2024 · github.com · ▲314

    Hey HN — I’m Adil from Katanemo (with Salman, Shuguang, and Meiyu) We previously shared an early version of this project as ArchGW. Based on customer feedback, the scope expanded from “LLM routing and model access” into something broader: delivery infrastructure for agentic applications. We renamed it to Plano and reworked the architecture accordingly. The problem On-the-ground AI practitioners will tell you that calling an LLM is not the hard part. The really hard part is delivering agentic applications to production quickly and reliably, then iterating without rewriting system code every…

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  • Twigg2025 · twigg.ai · ▲157

    Hi HN, we’re Jamie and Matti, co-founders of Twigg. During our master’s we continually found the same pain points cropping up when using LLMs. The linear nature of typical LLMs interfaces - like ChatGPT and Claude - made it really easy to get lost without any easy way to visualise or navigate your project. Worst of all, none of them are well suited for long term projects. We found ourselves spending days using the same chat, only for it to eventually break. Transferring context from one chat to another is also cumbersome. We decided to build something more intuitive to the ways humans think.…

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