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Products that do what BrainGrid – The AI Product Planner: Structure Your Ideas for AI does

Hi HN, I’m Nico, one of the co-founders of BrainGrid. We built this after spending the last year building software almost entirely with AI coding tools like Claude Code and Cursor. Writing code was fast. Finishing anything reliably was not. Coding was not the bottleneck. planning was. It was everything before the code: unclear scope, missing edge cases, poor sequencing, and vague intent. Once a project went beyond a single prompt, small changes started breaking unrelated parts of the app. In traditional teams, product managers and tech leads handle this. I was a Director of Product at Twilio…

  1. 1

    The AI Product Planner

    Mar 2026 · braingrid.ai

  2. 21O

    Hi, we're Sergey and Serafim. We've been building dev tools at 21st.dev and recently open-sourced 1Code (https://1code.dev), a local UI for Claude Code. Here's a video of the product: https://www.youtube.com/watch?v=Sgk9Z-nAjC0 Claude Code has been our go-to for 4 months. When Opus 4.5 dropped, parallel agents stopped needing so much babysitting. We started trusting it with more: building features end to end, adding tests, refactors. Stuff you'd normally hand off to a developer. We started running 3-4 at once. Then the CLI became annoying: too many terminals, hard to…

    Jan 2026 · github.com

  3. 3HP

    Hi HN! I'm building Hopsule. If you use AI coding tools like Cursor, Copilot, or Claude, you’ve probably seen this happen: The AI writes good code - but it ignores your architecture. It doesn’t know: - why you chose a specific pattern - which conventions your team agreed on - which decisions are already locked in So it falls back to generic patterns, outdated examples, or random GitHub training data. Over time this slowly breaks the consistency of the codebase. Most teams try to fix this with: - giant Markdown files - wiki pages - long prompts - Slack threads But those aren't…

    Mar 2026

  4. 4IB

    I've been experimenting with ways to increase AI adoption for non-technical people. Basically, all companies are pushing for AI because it's all over the news and they feel left behind but most people have no clue where to start. I think 90% of people (ie non coders) are sufficiently well served by using cowork instead of claude code or something similar. If we can get people from sales, customer support, marketing, etc to collaborate with skills and cowork to form a company brain, I think it's gold. So I think there's opportunity for the community to share skills that work well for 1000s of…

    Jun 2026 · claudinho.xyz

  5. 5GC

    Hey HN, I built ProductMap AI, a tool that automatically identifies features implemented in source code and organizes them in a visual hierarchy. The goal is to help developers quickly understand poorly documented codebases. Link: https://product-map.ai/ I’d love feedback from the HN community! Let me know what you think. Would this be useful for you?

    2025 · product-map.ai

  6. 6IB

    Hi HN, I'm the creator of this project. For the past months, I've been working on building an AI agent that could move beyond simple generation and tackle inventive challenges autonomously. The core idea was to create a system with a "metacognitive loop"—the ability to recognize when it's stuck on a fundamental problem and then launch a sub-mission to solve that specific bottleneck before continuing. The linked article is a deeper introduction to the system's architecture and a snapshot from a recent run. I tried to design it to be evidence-grounded and self-critical to avoid the pitfalls of…

    2025 · robw1se.substack.com

  7. 7AP

    I've been working on this internal project initially both to learn more Vibe-Coding but also to help our teams and projects to use AI more efficiently. As more people used it, it grew to support multiple teams/projects to analyze their Claude Code conversation and optimize them over time (understanding how to write better conversation with Claude Code and share knowledge between them) With time we added support for multiple Claude account management and monitor usage/rate limit. This is a simple project but has proved to be quite useful for our company. We have reached 5000+…

    2025 · github.com

  8. 8FB

    TLDR: made the first background coding agent that has an isolated workspace and runs locally Howdy - I’m Kevin, co-founder of Firebender, and we built the first background coding agent in android studio / Jetbrains! Why not just use Cursor background agents or OpenAI Codex? Both of these require setting up a cloud container and cloning your existing developer environment, and maintaining it. Then when you want to iterate on changes as AI inevitably makes a mistake, you either throw away the work, or have to pull down the branch and clean it up. This feels really clunky. With Firebender,…

    2025 · youtube.com

  9. 9IB

    I used to run a startup back in 2018 where I built highly relevant prospect leads for companies manually. This is an Ai agent that does what I used to do manually - source, curate, enrich, qualify leads, and find the right decision makers with contact information. The Ai agent builds a custom database of leads automatically We just upgraded the new UI as well as made our agents smarter. Check out the new website: https://kurationai.com/ Demo: https://youtu.be/KmlGnP3dzkE?si=N6FZwNubi70hS4nJ Use "PHK15" to get 15% off on any plan. Thanks, Aurelien, Founder,…

    Sep 2025 · kurationai.com

  10. 10VC

    I've been using Cursor, Co-Pilot, ChatGPT, Claude and what not since quite some time now, and we are at a stage where we can just "vibe code" whole apps from idea to execution in a few prompts. I tried this personally to create some side projects that solved little problems for me. But I always got stuck at a point where it just goes into an infinite loop of issues and can't solve the issue by itself. Well I'm a developer, so it's easier for me to dive into the code and solve the problem myself, but that would take a hell lot of time to understand all the code AI wrote for me. If I keep…

    2025

  11. 11IC

    I spent the past week implementing a 1 Layer Neural Net and training it on MNIST within the visual scripting language provided by scratch.mit.edu. It was tedious, but ultimately not too difficult. The code runs incredibly slowly, so much so that 64 samples of MNIST takes 5+ hours to train on my machine. There were a lot of little mini challenges that were fun to overcome (implementing softmax was very tricky). If you're interested, I encourage you to try and improve on it! More details in the linked blog post.

    2024 · bell-boy.github.io

  12. 12IB

    Hey HN. I built an AI agent harness over the past few months and I'm open sourcing it today. Some context on why. I've been building with Claude Code daily using this harness. It orchestrates multiple AI agents as a team, with a dashboard, chat, kanban board, the works. I used it to build a full SaaS product (MyUpMonitor, https://myupmonitor.com) in about 24 hours of focused coding. Then yesterday Anthropic announced Mythos and decided to keep it behind closed doors. Meanwhile I'm paying for Claude and I can't access their best model. I don't think that is nice at all... So I'm…

    Apr 2026 · github.com

  13. 13WB

    Hey HN, After GPT-3 created waves in the tech industry, a lot of AI tools were emerging and with that, some AI website builders But the results seemed way too generic to us. It felt like the developers were rushing to catch the wave instead of building a proper tool We took our time, did months of RnD and finally came up with something better than what others in the market are doing. It’s got better design output. While it’s still in beta, I wanted to show HN what we did. Will appreciate the feedback when you guys try it out. Here is the link to signup for the beta:…

    2024 · dorik.com

  14. 14SS

    Hola HN! Long time lurker, sometimes commentor, first time poster here. I’ve been working alongside my two co-founders and a few colleagues on a project I’m excited (and a little nervous) to share with you all! Like many of us, I’ve lived a tortured existence with AI coding (is it vibes?) over the past few months - I think November was a big moment with this. But, one thing I’ve noticed after building orchestration layer after orchestration layer is that the thing I always came back to was “what the hell is Claude Code actually doing?” Perhaps it’s because of the time Claude Code got…

    Jun 2026 · backplanes.com

  15. 15CT

    I come from a machine learning background - PyTorch code, leaving a training job running overnight, and Jupyter Notebooks. I hadn't touched much frontend before diving deep into start-ups. It was similar for my co-founder Nick, who spent time working on semiconductors. I started building, and noticing patterns in AI outputs. Enough to be able to understand how a hook works, how to manage state and why Typescript is great. But whenever it came to optimising a piece of code, debugging state issues or designing a codebase from scratch, my mind went blank. I went to ChatGPT Study Mode to seek…

    Apr 2026 · chestnut.so

  16. 16PT

    Hi HN, I’ve been working the past year on something called Prototyper , and today we’re opening up the new version. The motivation is simple: whenever I built products in the past, I noticed the best ideas came after the “first version.” You try something, it feels wrong, you change it, repeat. Most tools make that painful. Prototyper is my attempt to make that loop natural—so you can explore ideas quickly instead of forcing them through a rigid workflow. This release includes: instant updates (no compile/refresh lag) simplified UI (months spent just removing steps) responsive by…

    2025 · getaprototype.com

  17. 17RA

    Hi HN! Sean from MindStudio here. I wanted to share something we've been working on that I think introduces some new ideas into the "AI coding agent" space. Remy is an AI agent that builds full-stack TypeScript apps from a spec written in a new flavor of annotated markdown. The spec has two layers: prose describing what the app does, and annotations that carry the technical precision (data types, edge cases, validation rules, code snippets). The agent then "compiles" this into code: backend methods, typed schemas, frontends, test scenarios, and everything else are derived artifacts of the…

    Apr 2026 · remy.msagent.ai

  18. 18
    Ward5

    Catches bugs in AI-generated code before you ship

    Jan 2026

  19. 19TF

    We've built the first General AI Agent that works seamlessly across multiple AI platforms, e.g. ChatGPT, Claude, Cursor, and more. Try it today at no cost (no API credits needed), and join our waitlist for Flow, our visual designer that lets you customize it or build your own agent using just natural language—no coding required. #Why we made this We built this after experiencing firsthand the frustration of designing AI agents that require coding or the use of platforms with steep learning curves, only to find ourselves tied to these solutions. Our team spent months in stealth developing a…

    2025 · orkestralai.com

  20. 20MF

    Hi HN! We're excited to announce the public beta of Mowgli, a spec-backed, AI-native design canvas for scoping and ideating on products. The productivity gains unleashed by coding agents have made everything else an unexpected bottleneck. In an effort to make the most out of this new paradigm, we ceded a lot of ground in product thinking, thoughtful UX, and design excellence. In other words, the pace of tooling for deciding what to build has not kept up. Mowgli is inspired by, in equal parts, Figma and Claude's plan mode. It evolves a detailed specification and designs for every screen and…

    Feb 2026 · mowgli.ai

  21. 21LA

    Some years ago I wrote a mildly popular article called 'The Elements of Product Design' which broke down modern product design into 7 distinct layers. It was influenced heavily by Jesse James Garret's Elements of UX, hence the name similarity. The framework seems to help remind designers and their teams that there's more to design than just the visuals: structure and flow, concept modelling, product strategy, domain understanding, user needs. What's lacking from the article are concrete steps how you might apply the thinking, which was always a bit hard because it's so situational. But with…

    May 2026 · layers.jamiemill.com

  22. 22

    Give every AI instant understanding of your codebase.

    Jun 2026 · aicontextbrain.me

  23. 23

    Stop fighting your AI coding tools

    May 2026 · crosspost-ai-nu.vercel.app

  24. 24

    Thinks before it builds

    May 2026 · layout.dev

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