Blog
Frameworks, teardowns, and ideas for product managers who want to build what matters.
Wordware's retention puzzle: When your AI gets too smart to leave
How Wordware built a product people can't quit—and the trust gaps that might hold them back from scale.
LineWise gets manufacturing AI right by focusing on the people using it
A look at how LineWise built an AI platform that frontline workers actually want to use — and why that matters for retention.
Bujeti gets African finance reality—but there's room to go deeper
A look at how Bujeti's expense platform handles the unique volatility of African markets, and where it could push further.
Inside Infisical: What we learned from their secrets management approach
A close look at how Infisical tackles secrets sprawl, self-hosted complexity, and the emerging challenge of securing AI agents.
Clarm's approach to turning community noise into revenue
How one company is helping developer-led teams convert GitHub stars and Discord chatter into actual pipeline without scaling headcount.
Vector's contact-level visibility problem (and how to fix it)
Vector nails ad targeting precision, but their onboarding flow and intent timing create unnecessary friction for the teams who need them most.
Adyn is solving birth control's trial-and-error problem — here's what would make it even better
A look at how genetic testing is changing contraception selection, and three ways to make precision medicine even more precise.
Jiga's hidden advantage: When your manufacturing platform shows its work
Why surfacing supplier performance data during quote selection might be Jiga's next competitive moat
HyperDX's observability stack: What they got right (and where they could go next)
An analysis of HyperDX's dev-friendly approach to logs, traces, and session replays—and three opportunities to push even further.
Sepal AI is solving the orchestration problem, not the data problem
Why the hardest part of advanced AI data development isn't finding experts—it's coordinating them at scale.
What Infinite gets right about stablecoin payments (and one trust gap to close)
A product teardown of Infinite's B2B stablecoin platform — strong developer experience, but some legal friction to address.
Granza Bio's attack particles: When platform breadth needs product clarity
A look at how Granza Bio's immunology platform could translate scientific promise into user confidence.
Topo's AI agents are getting the fundamentals right — here's what comes next
A look at how Topo is balancing AI automation with human control, and where the next growth opportunities lie.
What Boom's getting right (and where they could go further)
A product teardown of how Boom is building credibility for supersonic travel—and where transparency could accelerate adoption.
ClickPe's marketplace promise: Great aggregation, hidden comparison data
ClickPe aggregates 50+ financial products but buries the loan details users actually need to make decisions.
What Writesonic gets right about AI visibility (and where the real opportunity lies)
A closer look at how Writesonic approaches AI search tracking—and what could make it even more powerful for teams chasing citations.
What Trace gets right about voice AI in financial services
A look at how Trace is rebuilding customer support by focusing on the economics of first contact resolution and conversational responsiveness.
Axle's Insurance API: Building the rails, now make the trains run
Axle has solved the hard problem of real-time insurance verification. The opportunity now is turning that data into decisions.
What is Mimir? A workspace that learns your product
Mimir is an AI-native product management workspace. Paste feedback, upload sources, and get ranked insights and recommendations in about a minute. Then use chat to explore findings, pressure-test decisions, and generate briefs and emails — all grounded in your actual customer data.
How to synthesize 20 customer interviews without losing your mind
Most PMs drown in interview transcripts. Here's a systematic framework to extract themes, rank severity, and decide what to build — whether you use a spreadsheet or AI.
Why most product roadmaps are wrong (and how to fix yours)
Most roadmaps are wishlists disguised as strategy. Learn how to audit your roadmap against actual customer evidence and build a feedback-driven prioritization loop.
The evidence-based approach to feature prioritization
Gut-feel prioritization ships the wrong features. Learn how to map customer evidence to themes, assess impact, and present data-driven recommendations to stakeholders.
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