
Simplaix
Agent Native Project Management
Simplaix launched on September 16, 2025 with 16 votes, #667 of 8,160 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 1 year on.
What it does
🚀 Simplaix redefines project management: chat to achieve all tasks. AI agents plan, track & automate in one flow—uniting calendars, docs, chat & code. No chaos—just seamless, intelligent collaboration.
AI-powered project management for solo founders. Simplaix gives you AI agents that manage tasks and execute work—so you can build a full business without hiring anyone.
AI agents manage your tasks and execute the work—so you can build a full business without hiring anyone. You don't need to hire a team to build a successful business. Simplaix gives you the operational power of a full team through AI agents that work alongside you. Ship products faster. AI agents handle task breakdown, code generation, and operational work while you focus on building. Serve more clients without burnout. Manage multiple projects, track deliverables, and stay organized effortlessly. Scale your business without the complexity of hiring. AI agents handle the operational overhead so you can focus on growth. Stop wearing all the hats. AI agents handle the operational work while…from simplaix.com
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SimplAI2025 · simplai.ai · ▲589Hey HN, I've been building SimplAI for the past several months — it's a platform for building, testing, and deploying LLM-powered agents and multi-step workflows. The problem I kept running into: spinning up an AI agent pipeline means stitching together prompt management, tool calling, memory, evals, and deployment — often from scratch every time. SimplAI tries to be the layer that handles all of that so you can focus on what your agent actually does. What it does: - Visual + code-first workflow builder for chaining LLM calls, tools, and APIs - Built-in prompt versioning and A/B testing…

Agentplace2024 · agentplace.io · ▲1,015Garry Tan posted a video this week about what he calls 20x companies. The idea is that small teams beat incumbents many times their size by automating everything internally, not just one or two functions. This alpha is real, and I think it is underhyped tbh. But here's the honest part, building agents is hard, expensive and most of the scaffolding we make would be obsolete with a new labs release. at the same time models are not quite there and they are not keeping up with "coding is dead" and "knowledge workers are doomed". Pushing them beyond what they can actually do reliably just boils…



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