YC S2026 Applicant·Phase 1 Shipped

AI solved
how to build.
We solved
what to build.|

Product Console is the AI-native workspace where PMs think, write, and ship with their entire product history as context. Cursor for Product Managers.

>

Write PRDs in 45 minutes with your entire product history as context.

YC S2026 RFS alignedChatPRD has 50K+ usersProductboard raised $262M
Q2 Roadmap PRD — Product Console
Product Console editor interface
AI context loaded
18 months of product history
1.5M
Product managers worldwide
Growing as every company becomes a software company
$1.725B
Productboard valuation
Proves PM tooling is a massive market
50K+
ChatPRD users
Proves demand — but zero institutional memory
45 min
PRD generation time
Down from 4–8 hours with full context
YC Validation

Andrew Miklas (YC Partner) published "Cursor for Product Managers" as an official Request for Startups for S2026 — validating our exact thesis.

Phase 1 Shipped

Live product at product-console.fly.dev with block editor, 4 PM-specific blocks, ghost text AI, inline commands, .pmrules configuration, and dark mode. Shipped March 2026.

Design Partners

Onboarding 20 design partners this quarter. Target: PMs managing 3–8 features per quarter at Series A–C SaaS companies.

Who It's For

Built for the people
who decide what ships.

Product Console is not a blank canvas. It has strong opinions about how product management should work — and it was built for the professionals who care about outcomes, not process.

Individual PM

Pain

Spending 4–8 hours on every PRD. Starting from scratch each time.

Message

Write PRDs in under an hour with AI that already knows your product.

Proof

Phase 1 MVP shipped. Tab complete, inline commands, .pmrules for context.

Head of Product

Pain

Inconsistent quality across the team. Institutional knowledge lost when PMs leave.

Message

Give every PM on your team the context of your best PM.

Proof

Knowledge Index ingests all artifacts. .pmrules enforce consistency.

Engineering Leader

Pain

Specs are incomplete. Requirements change mid-sprint with no trace.

Message

Better inputs for your engineering team. Scope changes propagate automatically.

Proof

Composer syncs PRD, tickets, roadmap, and briefs from a single scope change.

Founder / Investor

Pain

PM tooling market is large but underserved by AI-native solutions.

Message

Cursor proved the IDE model for developers. Product Console applies the same playbook to PMs.

Proof

YC S2026 RFS alignment. Phase 1 shipped. 5-phase growth plan to $500K ARR by Nov 2026.

Architecture

Five compounding
layers.
Each makes the
next more powerful.

Most PM tools are forward-looking only. Product Console closes the loop — from discovery to decision to specification to outcome tracking to autonomous course correction.

$ product-console --mode=autonomous
→ Knowledge Index: 847 artifacts indexed
→ Drift Agent: monitoring 12 shipped features
→ 3 agents running in background...

01

Knowledge Index

Institutional Memory

The Foundation

Every PM artifact your team produces — PRDs, customer interviews, feedback tickets, analytics exports, Slack discussions, and decision logs — ingested, embedded, and stored in a searchable knowledge graph. When you ask Product Console a question, it retrieves from your actual data, not a generic training set.

02

Artifact Engine

PRD Generation

The Creation Layer

A PM-native editor with purpose-built block types: Metric, Decision Log, Dependency, and User Evidence. Ghost text (tab to accept), inline commands (/generate, /expand, /challenge, /simplify), and .pmrules configuration. Not a chatbot. A PM-native IDE.

.pmrules
03

Composer

Multi-Artifact Sync

The Synchronization Layer

Change scope on a feature once, and the Composer propagates that change across the PRD, the Jira tickets, the roadmap entry, and the stakeholder brief. Multi-artifact diff preview lets you review every downstream impact before committing. What Cursor Composer does for code, applied to PM work.

04

Feedback Loop

Outcome Tracking

The Intelligence Layer — Our Moat

When you ship a feature, Product Console tracks predicted metric impact against actual outcomes at T+30, T+60, and T+90 days. Over time, the system builds a model of what kinds of product bets work for your specific company, team, and market. Nobody else is building this.

05

Agent Layer

Autonomous Agents

The Autonomy Layer

Three agents run continuously in the background. Discovery Agent surfaces patterns from connected sources. Sync Agent propagates scope changes automatically. Drift Agent monitors outcomes post-ship and generates Course Correction Briefs when metrics drift. Human-in-the-loop at every decision point.

Agentic Layer

From copilot to autonomous agent.

Cursor went from autocomplete to background agents that ship pull requests while you sleep. Product Console does the same for product decisions. Three agents. Always on. Human-in-the-loop at every decision point.

Discovery Agent

Phase 2

Monitors connected sources — Slack channels, support tickets, analytics dashboards, user feedback forms. When three enterprise customers mention the same pain point in a week, it drafts a preliminary user story with evidence attached and pings the PM for review.

TRIGGER3 customers mention same pain point
OUTPUTDraft user story with evidence

Sync Agent

Phase 2

Watches for scope changes anywhere in the product stack. When a PM edits a PRD, the Sync Agent autonomously propagates changes to Jira tickets, roadmap items, stakeholder briefs, and Slack updates — then presents a consolidated diff for approval before anything is committed.

TRIGGERPRD scope change detected
OUTPUT4 artifacts updated, awaiting approval
Unoccupied Category

Drift Agent

Phase 3

Runs on a schedule after every feature ships. Compares predicted metric impact from the PRD against actual outcomes at T+30, T+60, and T+90. When metrics drift beyond threshold, it autonomously generates a Course Correction Brief: what happened, why, and recommended next steps.

TRIGGERT+30 metric check: -18% vs. predicted
OUTPUTCourse Correction Brief generated
.pmrules

Configuration file

The .pmrules file extends to cover agent permissions, drift thresholds, and notification preferences. Every team controls exactly how much autonomy they hand over — which actions run automatically, which require approval, and who gets notified when.

agent.discovery.auto_draft = true
agent.drift.threshold = 15%
agent.sync.require_approval = true
Competitive Positioning

The category is being
rebuilt from scratch.

ChatPRD proved demand. Productboard proved market size. Neither is AI-native. Neither has agents. Product Console starts where they stop.

Capability
ChatPRD
50K users, no memory
Productboard
$1.725B, AI bolted on
Notion AI
Generic writing assistant
Product Console
AI-native workspace
Institutional Memory
AI-Native Interface
Multi-Artifact Sync
Outcome Tracking
Agentic Capabilities
PM-Specific Blocks
Context-Aware Generation

Knowledge Index

Every day a team uses Product Console, the switching cost grows. A competitor starting tomorrow cannot replicate 18 months of product history.

Feedback Loop

The only PM tool that tracks predicted vs. actual metric impact. Over time, the system learns which bets work for your specific company.

Drift Agent

Completely unoccupied category. Autonomous outcome tracking with corrective action. Nobody else is building this.

The Team

Two founders.
We move fast.

Phase 1 shipped ahead of schedule. Built and deployed a working AI product in weeks, not months. We have been on both sides of the table — as investors and as builders.

T

Talal

CEO & Product

10 years in venture capital. YC alum who raised the largest seed at the highest valuation in his batch. Built and shipped multiple products across AI consulting, automotive, and transportation. Understands both sides of the table: what investors look for and what founders actually need to build.

YC alum — largest seed, highest valuation in batch
10 years VC: deal sourcing, due diligence, portfolio support
Co-founded TAG (YC-backed, $12M seed at $100M valuation)
Relocating to San Francisco full-time
A

Alexander

CTO & Engineering

Over a decade building complex banking and payments systems at N26, Deutsche Bank, and Naspay. Co-founded TAG with Talal. Built Execution Guard end-to-end on Elixir/Phoenix with PostgreSQL, pgvector, a knowledge graph, MCP server, web dashboard, and CLI.

N26, Deutsche Bank, Naspay — complex banking systems
Built entire Elixir/Phoenix platform solo (Execution Guard)
Full stack: AI/ML pipelines to infrastructure and deployment
Built Phase 1 MVP: block editor, PRD engine, tab complete
Stage
Pre-seed
Targeting YC S2026
Primary Path
$500K
YC standard deal
Seed Target
$2M–$5M
Q4 2026 post Demo Day
Three-Year Vision
Product Console will become the operating system for product management. Not a tool. Not a feature. The foundational layer that every PM works inside.

The way Figma became the default for designers. The way VS Code became the default for developers. In three years, when a PM opens Product Console, they will have access to every product decision their company has ever made, every metric outcome that followed, and an AI that understands the patterns between them.

Data Network Effects
01

More usage generates more indexed context

02

More context produces better AI suggestions

03

Better suggestions drive more usage

04

Switching cost increases — the product knows your org

The Platform Play

At 1,000 teams, the dynamics change.

Public API

Teams read from and write to the Knowledge Index programmatically. CI/CD pipelines auto-generate changelog entries. Analytics tools push metric updates. The Knowledge Index becomes the central nervous system for product data.

Marketplace

Third-party PM frameworks, templates, and AI prompts. Teams share .pmrules configurations. Consultants publish best-practice artifact templates. The community builds on the platform.

Agent Marketplace

Teams share and publish custom agent workflows. A fintech team builds a Discovery Agent for regulatory feeds. A growth team publishes a Drift Agent tuned to activation metrics. Every published workflow deepens the network effect.

Integrations

Phase 1: Jira and Linear (bi-directional sync). Phase 2: Figma, Mixpanel, Amplitude. Phase 3: Slack bot, API, and custom webhooks. Every integration adds more data to the Knowledge Index.

"The end state is clear. Product Console becomes the single source of truth for product decisions."

Try Product Console
Design Partners — Open Now

Shape the tool that defines how PMs work.

We are onboarding 50 design partners this quarter. If you manage 3–8 features per quarter at a Series A–C SaaS company, this was built for you. Get early access and influence the roadmap.

Join the waitlist — we'll reach out directly.

No spam. We'll reach out when we're ready to onboard you.

Or jump straight in

Try the live MVP@Contact the team

[email protected]
product-console.fly.dev