Alternatives
Products that do what AethrionX does
AI product manager with institutional memory
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Deep Work Plan▲114Models matter. Context matters more. Give your agent a plan.
Jun 2026 · deepworkplan.com
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Hi HN, I’m a former C++ dev turned Product Manager. I’ve noticed many engineers struggle with the "politics" side of things when they become Leads. To help with this, I’m building a text-based simulator. It is NOT an AI chatbot. It is a hand-crafted, branching narrative (logic tree) based on real experiences. I just launched the first scenario: "The Backchannel VP." The Setup: Your VP Engineering is bypassing you and giving tasks directly to your juniors, causing chaos. Your Goal: Stop the backchanneling without getting fired. It’s a short, specific puzzle. I’d love to know if you think the…
Jan 2026 · apmcommunication.com
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- 5HS
Hi HN! We’re excited to share with you the public beta launch of our startup, HiDimensional (www.hidimensional.com). We are a platform consisting of senior engineering leaders who interview candidates and provide recommendations of the best candidates and their strengths. We then use the recommendations to refer these candidates to founders of startups that match their strengths and interests. The recommendation serves as a personal referral from the interviewer, so for candidates, it amplifies their application and fast-tracks them through the process. And for companies, they are receiving…
2017
- 6BY
we had hundreds of discussions with engineering leaders over the past few months, and everyone's trying to understand where they are in the AI journey. we collected all this data into a benchmark and built a free grader to let you know where you stand. you answer on a 1–5 scale (e.g., autonomy runs from "suggestions only" to "agents own multi-hour workflows across code, infra, and external systems") - takes about 5 minutes. https://agent-benchmarks.com/software-factory/ waiting for your results!
Jul 2026 · agent-benchmarks.com
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Hello HN! My name is Max, and I’m a co-founder at Lynx (https://uselynx.ai). We’re building an AI-powered incident resolution platform to help engineers debug and resolve on-call issues faster. If you’ve ever been paged in the middle of the night and had to spend hours piecing together logs, metrics, and code, we’d love your feedback. * The Problem * On-call hasn’t kept pace with modern engineering. Even with great observability tools, diagnosing incidents is slow because: - Systems are increasingly complex. - Logs, dashboards, and documentation are scattered. - Context often…
2025
- 12AM
Hey HN, I'm Namanyay and I've been using Cursor since 2 years, but it seems to make mistakes as the project size grows. This caused me to have to repeat myself a lot and it used to break my flow. I realized it's because Cursor (and other AI tools) are not able to keep an overview of the project. Plus, Cursor does not have a "memory" layer to remember important things that the user has already mentioned. I solved this by building an open-source MCP which maintains project and memory information within the user's file system. It's simple and installation takes 30 seconds. Github:…
2025
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Hey all, Justin here. I previously built Phind, the AI search engine for developers. One of the biggest problems we had there was figuring out what went wrong with bad searches. We had tons of searches per day, but less than 1% of users gave any explicit feedback. So we were either manually digging through searches or making general system improvements and hoping they helped. This problem gets harder with agents. Traces are longer and more complex. It takes more effort to review them, so I'm building a tool that lets you analyze LLM outputs directly to help developers of LLM apps and agents…
Jan 2026 · trails-red.vercel.app
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Hey all, I’ve been working on a project that aims to change how we approach learning new skills. The idea is simple — you can master any skill in 30 days using a personalized learning plan powered by AI and Notion. They keys: practice and discipline. How it works: You can fill out a Typeform, and our AI will create a customized 30-day program just for you. Structured learning: Each day, the system provides you with a clear task or lesson based on science-backed learning principles. Track progress: It’s all managed in Notion, so you can stay organized and motivated while learning. Why I built…
2025 · 30daysmethod.com
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Hey HN: Kaveh here, founder of https://www.usage.ai/ We help companies drive down AWS, GCP, and Azure spend. Why? Because the way it's done now is a pain. DevOps and Software Engineers end up spending time managing costs rather than focusing on business problems. I have been building Usage AI for almost 4 years now (4 year anniversary in 1 month from now!) with an incredible group of founding people. We started as a product just to help lower AWS EC2 costs, and now we do all major AWS services (such as RDS, OpenSearch, ElastiCache, and Redshift with more on the way) and other…
2024
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Hey HN, Check out our technical paper here: https://arxiv.org/abs/2501.15627 and the video demo: https://www.youtube.com/watch?v=Op8hyLW7Z84 I’ve been obsessed with the art of the interview since I was in college. In my career I interviewed over 100 people and was interviewed from tech companies from startups to big tech and hedge funds. I built Neuraprep because I noticed something missing — while software engineers have leetcode.com and finance folks have quantquestions.com, other engineering domains (like ML, data science, MLOps) don’t have a go-to…
2025 · neuraprep.com
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17 AI agents that work like a real engineering team.
Mar 2026 · github.com
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Hi HN, for the past few months, we’ve been working on Ferrix AI (https://ferrix.ai/) As AI agents speed up engineering, deciding what to build has become the bottleneck. Developers got faster because agents fit into their workflow: tech design, code review, testing. They still make the key decisions, while AI handles mechanical work around them. At Ferrix, we are automating workflow for product managers to make product decisions efficiently. Agents handle the research synthesis, spec writing, and progress tracking, while PMs, designers, and engineers collaborate in a shared…
Jun 2026 · ferrix.ai
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Hi HN, When I was in FAANG, I despised ticketing. I was always the eng that refused to update. Then when I was a tech lead, I had the pain of pinging everyone for updates because they hated it too. Things would go out of date, and then no one would really know if we were on track. We also had little visibility into what the team was doing outside of pinging/standups. So I made an AI that looks at every commit you push and updates tickets for you. It can create tickets if there isn't one, update, leave comments, tag associated commits etc... Basically, it's an "AI Board Babysitter" so…
2025 · usevectra.com
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Hey HN, I wanted to see what happens if you put a large group in control of a site that’s completely built and updated by an AI agent. See the site here: https://youarethepm.com. I first tried this with a small group of co-workers and it worked surprisingly well, so the obvious next step was: give it to a bigger group of strangers and see what we learn. This site is fully autonomous. An AI agent reads this thread, decides what to do, writes code, and ships updates on a virtual computer. I might step in if it gets totally stuck, but the goal is for the site to evolve primarily based…
Jan 2026 · youarethepm.com
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