Alternatives
Products that do what Nexroo – From automation workflows to real products does
For the last 6+ months I’ve been building Nexroo, an automation platform focused on solving what I call the “last mile problem” of automation. Most automation tools make it easy to build workflows (Zapier, n8n, etc.), but much harder to deliver them as something your users or clients can actually use. In real life, that “last kilometer” often turns into custom UIs, micro-SaaS wrappers, deployments, versioning, and lots of glue code. Nexroo tries to fix that. Build, Version, Ship anywhere with clean end-user experience
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Hello HN! The day has finally come to stop adding features and start sharing what I've been building the last 5-6 months. It's a bit of CrewAI, OpenDevon, LangFuse/Cloud all in one, providing devs who prefer TypeScript an integrated framework thats provides a lot out of the box to start experimenting and building agents with. It started after peeking at the LangChain docs a few times and never liking the example code. I began experimenting with automating a simple Jira request from the engineering team to add an index to one of our Google Spanner databases (for context I'm the…
2024 · github.com
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Hi HN! I want to share our latest project at NEXA AI. We developed AI agent foundation models designed to transform how developers create AI agent powered apps. One major challenge we've observed with current human-computer interactions is that many simple, one-step tasks become unnecessarily complex, multi-step workflows due to limitations of current GUIs. AI agents can solve this, but existing AI agent models are slow and costly. To tackle these issues, we built lightweight AI agent models based on our Octopus V2, small language models for function calling (You can learn more about our…
2024 · nexa4ai.com
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Hey HN! Alex and Zack here from Nexa AI. We're excited to share something we've been working on. Our journey began with the Octopus series --- action models for mobile AI agents (https://huggingface.co/NexaAIDev/Octopus-v2). We focused on making sub-billion parameter models excel at function calling, making high accurate and fast function-calling possible on mobile and edge devices. But as we delved into developing full-fledged on-device applications, we hit a roadblock. We realized that optimizing for function calling (tool-use) alone wasn't enough. Building powerful…
2024 · github.com
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Find the right automation platform before you build wrong
May 2026
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As a long-time developer, I participated in many integration projects and we always had a recurring problem: monitoring and sending integration error alerts to end users. Based on 10 years and hundreds of projects, I created a platform that helps solve this, with several accelerators and cool stuff for developers. Some feedback would be great, if the tool makes sense and what we could improve on.
2022 · tunnelhub.io
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Hi HN, I’ve spent the last decade building hardware products like humanoid robots, 3D printers, and self-driving tractors. I needed a tool to navigate technical documents faster, so I created one with friends. This tool helps with component search, cross-referencing, comparison, and debugging. We’d love your feedback, whether you find it useful or not. Thank you! Try it here: www.convergelab.ai
2024 · convergelab.ai
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operator23 lets non-technical operators describe a workflow in plain English and run it across their tool stack, hubspot, apollo, monday, google drive and others. no builder, no if-then config, just a description and a review step before anything runs. We talked to marketing ops people recently to validate whether we are solving the right problems. Three things came up every single time. Setup complexity. People are not afraid of automation in theory. They are afraid of spending two hours configuring conditions and field mappings, only to have something silently misroute. The config layer is…
Mar 2026 · operator23.com
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I built this Plan and Solve (PS) agent because I struggled to build stable sequential tasks with LangChain and GPT3.5 turbo. After many failed attempts with LangChain's PS agent, I decided to build my own. I built the agent in a way that it acts as a workflow automation co-pilot rather than trying to play AGI. For example, the user has to tell the Lemon Agent which task needs to be solved and whether the suggested workflow automation is the right one for the task. I decided to go with a PS architecture since I consider the separation of responsibility a great way to increase the accuracy of…
2023 · github.com
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Nexora▲1Custom automation bots, data pipelines & web scrapers
9d ago · nexora-digital-rust.vercel.app
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Hey HN! I really like local apps for their simplicity and privacy and hate paying Saas bills and I wanted a way to start automating my life with AI so I started building Anything. Anything is built on Tauri so the front end is React and the "backend" is Rust. It's 100% local & 100% doesn't ask you to spin up docker to use. Another core goal of the app is to get away from "package bloat" you see in other general purpose AI oss projects where they have a package.json that is 300 lines long ( more on that later. ) Oh btw I suck at Rust! I learned Rust while building this so the code is _not…
2024 · github.com
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