Why Y Combinator Is Calling This “Cursor for Product Management”
YC's Spring 2026 Request for Startups named this category directly. Here's what that says about the size of the gap — and why it's opening now.
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Build product decisions your team can trust.
Practical thinking on product decisions, evidence, and the work that carries them into delivery.
Why Every PRD Starts From a Blank Page (And How to Stop Rewriting the Same Doc)
The reasoning behind last quarter's decisions lives in someone's head, or a stale doc nobody reopens. Here's why that keeps happening, and what actually fixes it.
Read articleWhat Is a Living PRD? Why the Best Product Docs Never Stop Changing
A living PRD is a product requirements document that updates as evidence and code change — instead of freezing the day it's written. Here's what that actually means in practice.
Read articleWhat Is Spec-Driven Product Management?
Spec-driven development changed how engineers work with AI agents. Spec-driven product management applies the same discipline one step earlier — to the decision itself.
Read articleThe PM's Context Problem: Why Documentation Isn't the Same as Institutional Memory
Most product teams don't have a documentation problem. They have a context problem — and those two problems need completely different fixes.
Read articleThe Hidden Cost of Nobody Checking Whether a Shipped Feature Worked
Teams ship and move on. Almost nothing verifies whether a shipped feature achieved what the PRD actually promised — and that gap is more expensive than it looks.
Read articleThe Best AI Tools for Product Managers in 2026, Ranked by What They Actually Automate
Most 2026 roundups list ten tools and call it a day. This one is organized by what each tool actually removes from your week — and where the gaps still are.
Read articleSquad AI vs Argus: A Multi-Agent Chat vs. a Reviewed, Merged Decision
Squad AI calls itself “the precursor to Cursor.” Here's what a multi-agent chat interface can and can't do that a reviewed, merged product decision can.
Read articleSpec-Driven Development Isn't Just for Engineers Anymore
GitHub Spec Kit, AWS Kiro, and Augment Cosmos are converging on the same idea from the engineering side. Product teams are the ones still missing the memo.
Read articleProductboard Spark vs Argus: Codebase-Grounded, But Locked to One Platform
Spark is the closest thing to Argus on the market today — codebase-grounded, evidence-traceable, live now. The real difference is what happens once you're not inside Productboard anymore.
Read articleIntent vs Argus: Living Specs for Engineers, Living Context for Product Teams
Intent makes specs a shared, living artifact for engineers and agents. Argus does the same thing one layer upstream — for the product decision the spec is supposed to represent.
Read articleGitHub Spec Kit vs Argus: Why a Free Spec Template Isn't a Decision Layer
Spec Kit is free, open source, and used by 30-plus AI coding agents. Here's what it does brilliantly, and the part of the problem it was never built to solve.
Read articleFrom Competitor Signal to Shipped Feature: A Real Workflow Walkthrough
Most competitive intelligence dies in a Slack channel. Here's what it actually takes to turn a competitor's move into a shipped, verified response.
Read articleEvidence Before Eloquence: Turning Customer Calls, Tickets, and Competitor Moves Into One Decision
A well-written PRD built on the wrong evidence is still wrong. Here's the actual workflow for turning scattered signal into a decision you can defend.
Read articleCursor for Product Managers: Why Engineering Got an AI Teammate and Product Never Did
Cursor went from $100M to $1B in ARR in about ten months by understanding a codebase's full history. Product management never got the equivalent tool — until now.
Read articleChatPRD vs Argus: PRD Generation vs. a Living Product Knowledge Base
ChatPRD writes a great PRD from a prompt. Argus grounds that PRD in your actual codebase, keeps it updated, and verifies the shipped result — here's the honest breakdown.
Read articleAugment Cosmos vs Argus: Shared Memory for Engineers vs. Shared Memory for the Whole Company
Cosmos treats organizational memory as infrastructure for the SDLC — SOC 2 certified, processing hundreds of thousands of files. Here's why that memory still needs a product-side counterpart.
Read articleAha! vs Argus: Roadmapping Software vs. an AI Product Team
Aha! is the established name in product roadmapping, now adding AI features on top. Here's the difference between AI added to a roadmap tool and AI built around evidence from the ground up.
Read articleAWS Kiro vs Argus: Spec-Driven IDEs Solve the Code, Not the Decision Before It
Kiro treats specs as executable, structured infrastructure for AI-assisted engineering. Here's why that's a different job than deciding what to build in the first place.
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