Skip to content
All categories

product

57 posts

How Patreon Turns Supporters Into Members: Free Entry, Paid Tiers, and the Cost of Leaving

Patreon charges a 10% platform fee to new creators who publish after August 4, 2025, bundling free membership, paid tiers, commerce, community, and discovery. Creators can export email addresses, but a CSV does not carry recurring payment authorization, conversations, or platform distribution.

How Private-Market Data Becomes a Workflow: PitchBook's Human Verification and Switching Costs

PitchBook combines public signals, direct submissions, and human review to build a relational database of companies, deals, funds, and investors, then embeds it in screeners, Excel, CRMs, and APIs. Segment revenue reached $671.8 million in 2025, but recent private-market data still requires estimates and later revisions.

From SEO to Direct Brand Demand: AI Search Changes the Entrance, Not the End of Search

SEO still makes content discoverable, but AI answers no longer turn every exposure into a click. Direct brand demand must be measured across branded queries, identifiable returns, activation, and conversion—not by labeling all direct traffic as brand.

Is Substack's 10% Worth It? Discovery, Break-Even Math, and Migration Boundaries

Substack charges 10% of all paid-subscription revenue in exchange for publishing, payments, a recommendation network, and a shorter checkout path. Break-even depends on retained incremental value—not on subtracting 10% from the company's self-reported 25–30% network share.

How Taiwan Creators Should Choose a Platform: Payments, Discovery, Control, and Operations

Creator-platform selection is not a ranking. A Taiwan-based creator should pass four gates—payments, discovery, control, and operations—before choosing a platform, managed SaaS, or self-hosted site. No CSV represents a complete reader and billing relationship.

Can Taiwan Build Another Vertical Intelligence Company? Five Gates and a Four-Week Test

Taiwan's industrial density can become global enterprise intelligence, but a new company must pass five gates: unique signals, recurring demand, structured fields, lawful verification, and overseas buyers. TrendForce shows the model exists; it does not show that every vertical can copy it.

How Industry Intelligence Sells to Enterprises: Six Product Paths and Their AI Exposure

Enterprises do not pay for more articles. They pay to find signals sooner, prioritize what deserves attention, and complete decisions faster. Six cases turn reporting relationships, contributor research, structured data, predictive scores, and procurement workflows into intelligence products that can earn renewals.

Who Sells Content? Four Business Models and Four Paths Forward

A content business is not merely an article behind a paywall. It may sell enterprise decisions, personal trust, platform infrastructure, or use free content to acquire customers for another product.

How Supply-Chain Access Becomes Renewals: Inside DIGITIMES' Intelligence Pipeline

DIGITIMES turns scattered signals from Taiwan's technology supply chain into news, research, databases, and advisory services. Enterprises renew for a repeatable decision-making pipeline, not simply for a larger volume of articles.

How Free Content Acquires Customers for Another Business: Eight Paths and One Scorecard

Free content is not a free business. It is an acquisition investment. Eight cases spanning ads, tools, subscriptions, brokerage partnerships, affiliate marketing, and AI search ask what paid job the audience eventually completes.

How Seeking Alpha Sells Crowdsourced Research: Contributors, Quant Ratings, and the Subscription Flywheel

Seeking Alpha sells more than stock articles: outside contributors supply research, editors govern the market, and more than 100 quantitative metrics feed ratings and subscription tools.

How a Few Exclusive Stories Support a Premium Subscription: The Information's Reporting Flywheel

The Information sells a small number of exclusive stories to professionals who can act on them, then turns reporting exhaust into databases, org charts, and an AI research tool that supports multiple subscription tiers.

The Platform Bet: Who Controls the Creator-Reader Relationship?

Choosing a creator platform is not about finding the longest feature list. It assigns responsibility for bringing readers, collecting payments, holding data, and operating the system; pricing is only one of four gates.

AI Product Design Interview Guide: From Human-in-the-Loop to Trust Building

AI Product Design is the hottest new interview topic in 2025-2026. Core areas: when to use AI (not every problem needs it), human-in-the-loop design patterns (when to let humans intervene), trust building (how to make users believe AI output), AI product challenges (hallucination, latency, cost), and AI product evaluation metrics.

Behavioral & Leadership Interview Guide: Influence, Conflict Resolution, and Vision

Product Builder behavioral interviews differ from SWE — they don't just test teamwork, they specifically test how you drive things without formal authority. Core skills: influence narratives (how to convince engineers to build your feature), conflict resolution (disagreements with designers/engineers/stakeholders), vision expression (how to make someone understand your product direction in 30 seconds), and failure stories (learning from failure without deflecting blame).

Execution Interview Guide: From Roadmap to Cross-Team Collaboration

Execution interviews test whether you can turn ideas into deliverables. Core skills: roadmap planning (how to prioritize with limited resources), priority defense (why A before B), cross-team collaboration (how to drive engineering and design), stakeholder management (how to handle conflicts), and the ability to track progress with data.

Growth & Experimentation Interview Guide: From Growth Loops to Experiment Design

Growth interviews don't test whether you can growth hack — they test whether you have systematic growth thinking. Core skills: growth loop design (the acquisition → activation → retention → referral flywheel), experiment design (the full hypothesis → metric → experiment → analysis process), retention strategy (finding the aha moment, designing habit loops), and using data to decide what's worth continued investment.

Metrics & Analytics Interview Guide: From North Star to Experiment Design

Metrics interviews test whether you can make decisions with numbers, not how much statistics you know. Core skills: north star metric selection logic (why this one and not that one), metric tree decomposition (finding actionable levers), funnel analysis (which step's drop-off is most worth fixing), A/B testing design and pitfalls, and judgment when facing counterintuitive data.

Product Builder Interview Overview: From PM to Builder Mindset

A Product Builder isn't a traditional PM — you need to build from 0 to 1, not just write PRDs. Interviews test the intersection of product intuition, metrics thinking, technical understanding, and execution ability. Prep strategy: first figure out whether your target company wants a PM or a Builder, then allocate time across nine dimensions.

Product Design Interview Guide: From Problem to Solution

Product Design interviews don't test whether you can draw wireframes — they test how you go from problem to solution. Core skills: MVP scope judgment (what to build and what not to), trade-off analysis (speed vs completeness, generic vs custom), communication of design decisions (why A instead of B), and iterative thinking.