Product Leaders Deserve Better Than Generic ChatGPT Advice
ProductManagerHub gives Claude access to curated product leadership experience from senior PMs who've shipped real products. Real frameworks. Real outcomes. Real strategies that worked.
No credit card • 10 queries free • 2-minute setup
ChatGPT
“Here's what RICE means. RICE stands for Reach, Impact, Confidence, and Effort. You can use it to prioritize your backlog...”
ProductManagerHub
“Here's why RICE failed at 3 companies and how to fix it—based on post-mortems from 23 product orgs with outcomes data...”
You're making million-dollar product decisions using AI trained on generic blog posts. ProductManagerHub curates real strategies from product leaders who've managed $5M+ portfolios, shipped enterprise AI features, and learned what actually works—not just what sounds good.
How It Works
Strategic AI in 3 Simple Steps
Step 1
We Curate Product Leadership Experience
We gather frameworks, case studies, and outcomes from senior product leaders across B2B SaaS companies. Not blog content—real stories of what worked, what failed, and why.
Step 2
Connect to Your AI Tools
Install our MCP in 2 minutes. Works with Claude Desktop, Cursor, and Notion. No new tools to learn—just better answers where you already work.
Step 3
Get Strategic Guidance On Demand
Ask strategic questions, get answers backed by real enterprise experience. Build vs buy? AI roadmap? Portfolio prioritization? We’ve got outcomes data.
What Makes Us Different
We're not another AI wrapper. We're product leaders curating knowledge from product leaders. Every framework has been tested in production. Every strategy includes real outcomes. Every piece of advice comes from someone who's been in your seat.
Your queries stay private. Your data never trains our models. Built for enterprise product leaders who handle sensitive strategy.
Real Examples
See the Difference
Real questions. Real answers. Backed by outcomes data.
You Ask
“Should we build or buy AI features?”
Generic ChatGPT
“Consider factors like: time to market, team expertise, long-term costs, customization needs...”
ProductManagerHub
“Based on 12 similar decisions we've tracked:
Build If
- ✓ 2+ ML engineers
- ✓ 12+ month timeline
- ✓ $500K+ budget
Success rate: 65%
Buy If
- ✓ <1 ML engineer
- ✓ 3-6 month timeline
- ✓ <$200K budget
Success rate: 87%
Average time to ship: 9 weeks (buy) vs 38 weeks (build)”
You Ask
“How do I prioritize AI features on our roadmap?”
ProductManagerHub
“Analyzed sequencing from 47 B2B SaaS companies shipping AI:
Phase 1 Winners (Ship First)
- AI-powered search: 91% adoption, 8-week timeline
- Support ticket classification: 78% adoption, 10-week timeline
Phase 1 Failures (Don't Start Here)
- Predictive analytics: 23% success rate
- Custom LLM training: 15% success rate
Red Flags We've Seen
- • Starting with 'AI chatbot' — failed 82% of time
- • No customer validation — added 4 months average
- • Underestimating data quality — caused 67% of project failures”
Who Curates This Knowledge
Built by Product Leaders, for Product Leaders
Tony Ludwig
Senior Product Leader
- 15+ years shipping enterprise B2B products
- $5M portfolio management
- Former product leader at Land O'Lakes, Modern Hire, WellBiz Brands
- Specialist in AI product development
“I started ProductManagerHub because I kept seeing product leaders make the same expensive mistakes. We're changing that by curating what actually worked—with data to prove it.”
Powered by Product Leader Stories
We actively gather real-world knowledge from the field:
Case studies from 100+ product leaders
Outcomes data from real AI implementations
Post-mortems from failed projects
Battle-tested frameworks from enterprise teams
Our knowledge base grows weekly with new stories, patterns, and validated strategies from the field. Every answer is backed by real outcomes, not theory.
What You Get Access To
Everything a Senior PM Needs
Strategic Decision Frameworks
- Build vs buy analysis
- Feature prioritization strategies
- AI readiness assessment
- Portfolio optimization
- Market timing frameworks
Based on 200+ strategic decisions tracked
AI Product Strategies
- AI feature sequencing
- Vendor selection guides
- Budget & timeline models
- Team capability assessment
- Risk mitigation patterns
Based on 47 B2B SaaS AI implementations
Executive Communication
- Board memo templates
- CEO briefing frameworks
- Stakeholder management
- Budget justification models
- Vision narrative builders
Based on successful executive presentations
Team Enablement
- PRD review frameworks
- Roadmap alignment tools
- OKR cascade validators
- Capacity planning models
- Hiring scorecards
Based on product orgs of 5–100 people
Operational Leverage
- Meeting prep automation
- Status update generators
- Planning assistant tools
- Email drafting frameworks
- Decision documentation
Based on workflows from 50+ product leaders
Real Outcomes Data
- What worked and why
- What failed and why
- Timeline expectations
- Budget reality checks
- Success rate patterns
Based on post-mortems and retrospectives
Built for Product Leaders, Not Junior PMs
This is for experienced product leaders who:
You don't need us to explain what RICE means. You need us to tell you why your RICE implementation will fail and how to fix it—based on seeing it fail at 23 other companies.
Not frameworks. Outcomes.
Pricing
Simple, Transparent Pricing
Start free. Upgrade when you're ready.
Free Trial
Try it first — no credit card
- 10 queries per month
- Core frameworks & decision tools
- AI readiness assessment
- Works in Claude Desktop
- 2-minute setup
Then follow our 2-minute setup guide
Professional
For individual product leaders
- Unlimited queries
- All frameworks & strategies
- Curated outcomes data
- AI product playbooks
- Priority support
- Works in Claude, Cursor, Notion
Team
For product organizations (5–10 leaders)
- Everything in Professional
- Team knowledge sharing
- Usage analytics
- Custom playbook requests
- Quarterly strategy sessions
- Dedicated onboarding
Your Strategic Data Stays Private
Built for product leaders handling sensitive strategy. Your competitive insights remain confidential.
How We Compare
Not All AI Advice Is Created Equal
| Generic AI | Product Blogs | ProductManagerHub | |
|---|---|---|---|
| Knowledge Source | Internet | 1–2 authors | 100+ product leaders |
| Outcomes Data | None | Anecdotal | Tracked & validated |
| Updates | Static | Monthly | Weekly |
| Context | Generic | One perspective | Multiple companies |
| Success Rates | Unknown | Not tracked | Measured & reported |
| Your Industry | Maybe | Unlikely | B2B SaaS focused |
| Privacy | Unclear | Public | Enterprise-grade |
FAQ
Frequently Asked Questions
ChatGPT and Claude are trained on public internet content—mostly blog posts and documentation. ProductManagerHub curates knowledge from actual product leaders who’ve shipped real products. We track outcomes: what worked, what failed, and why. You’re getting answers based on data from 100+ senior product leaders, not generic blog content.
We actively gather case studies from product leaders at B2B SaaS companies, post-mortems from failed and successful projects, frameworks tested in $5M+ portfolio environments, outcomes data from real AI implementations, and battle-tested strategies from enterprise product orgs. Every piece of knowledge is validated and includes context about when it works and when it doesn’t.
No. We only log usage metadata (which tool you used, when you used it). Your actual questions and our answers are processed in-memory and immediately discarded. We never store query content. Your strategic decisions, roadmaps, and competitive insights stay completely private.
Weekly. We continuously gather new case studies, outcomes data, and validated strategies from our network of product leaders. When you ask a question, you’re getting the most current knowledge we have—including recent patterns and emerging best practices.
Claude Desktop (Mac and Windows), Cursor (for PMs who code), Notion (coming soon), and any tool supporting the MCP protocol. 2-minute setup with copy-paste configuration.
Yes. Our Team plan supports 5–10 product leaders with shared access to all frameworks, team usage analytics, knowledge sharing across your org, and quarterly strategy sessions with Tony. Each person gets their own private API key.
Every framework includes context about when it works and when it doesn’t. We’re not giving one-size-fits-all advice. We’re showing you patterns from similar companies and letting you decide what applies. Plus: we track outcomes. If something has a 23% success rate, we tell you that upfront.
What Product Leaders Say
“Finally, strategic advice from people who’ve actually done it. The build vs buy framework saved us 6 months.”
Sarah Chen
VP Product
“I was skeptical until I saw the outcomes data. 87% success rate for the approach they recommended vs 23% for what I was planning.”
Michael Rodriguez
Director of Product
“Not generic frameworks. Real patterns from real companies. This is what I wished I had 5 years ago.”
Jessica Park
CPO
Stop Making Strategic Decisions
Based on Blog Posts
Join product leaders getting answers backed by real outcomes from companies that have been where you are.
10 queries free • No credit card required • 2-minute setup