Show HN: Reactor Atlas https://ift.tt/oD38i9j

Show HN: Reactor Atlas Hi HN, I'm a nuclear engineer and tech entrepreneur. After working for 3 years in the National Atomic Energy Commision (CNEA) in HPC software for nuclear simulations, I co-founded ratherlabs.com, a software company providing blockchain solutions for startups. Rather Labs business reached ~6 million usd in annual revenue in 2024; now demand is decreasing as our niche clients are using AI to launch their MVPs. Now I'm joining my scientific background with my entrepreneurial inclinations to think of problems related to the energy industry. Nuclear is experiencing a renaissance now (it was in a dark age when I was studying after the Fukushima event) so I think this is the right moment for me to jump again into the field. Reactor atlas is an interactive nuclear reactor map and an intelligence layer on top of it. The basic layer indexes: - power reactors - research reactors - fuel facilities with their history and projection, by country. The project is solving a fragmented information ecosystem, where operational and commercial data is hard to conciliate. Also, I'm monitoring nuclear news associated with each of the facilities, political declarations that may affect the nuclear landscape and geo-phisical news (like earthquakes) that could affect operation. On top of the operational + news layer, I'm creating an intelligence layer that will help institutions of different types make faster decisions by subscribing to very specific alerts. As an engineer, I used to code in fortran and c++ when I was working at CNEA, and later I participated in the first Rather Labs projects architecting complex async systems, mostly using MERN stack. I'm no longer coding anymore. I'm focused on designing robust systems with AI agents. I mainly used Claude Fable 5.1 to develop reactoratlas.com, deploying on vercel and using mostly nextjs, threejs, postgreSQL and some cron jobs to query and update data. I miss coding as in the old days, but I haven't code a single line in this project. And I strongly believe we humans shouldn't code anymore: our responsibility is now on designing and supervising AI systems. Thanks for your attention! https://ift.tt/J402Osa September 3, 2026 at 01:33PM

Comments

Popular posts from this blog

Complete Guide to E-Commerce Business: Meaning, Models, and How to Start

Micro Niches: The Secret Weapon for SaaS Startups Struggling to Gain Traction

"From Micro Niche to Money Maker: How I Validated My E-Commerce Idea with AI (No Budget Needed)" Published: September 23, 2025 Keywords: Micro niche, AI validation, e-commerce, free tools, startup strategy Introduction Ever wondered if your e-commerce idea is worth pursuing? In this post, I’ll walk you through how I used free AI tools to validate a micro niche, build a lean store, and test demand—without spending a dime. If you’re stuck between ideas or afraid of wasting time and money, this guide is your shortcut to clarity. Step-by-Step Breakdown 1. Finding the Micro Niche Used ChatGPT to brainstorm underserved product categories. Cross-referenced with Google Trends and AnswerThePublic to check search interest. 2. Validating Demand Leveraged Perplexity AI to analyze competitors and market gaps. Ran polls using Typeform and Twitter/X to gauge interest. 3. Building the Store Created a free storefront using Shopify Starter and Canva for branding. Used Durable.co to generate landing page copy in minutes. 4. Driving Traffic Scheduled posts with Buffer across Instagram, Threads, and LinkedIn. Used Notion AI to draft blog content and email sequences. 5. Tracking Results Monitored engagement with Google Analytics and Hotjar. Adjusted product positioning based on feedback from Tally Forms. Key Takeaways Micro niches are goldmines when paired with smart AI validation. You don’t need a budget—just the right tools and strategy. Testing before investing saves time, money, and frustration. Thinking of launching your own store? Drop your niche idea in the comments and I’ll help you validate it with AI—free of charge!