Today Polym launches on Product Hunt.
A culmination of 15 years of exploring every major online learning solution & extensive research into learning science to create a platform that tries to incorporate the best from each while filling in their gaps.
❤️ Support: www.producthunt.com/products/polym
Any mobile app developers use different paywalls for iOS and Android? Seems they have different requirements and would rather not change my copy on iOS to meet Android.
Retain what you learn.
Gathering raw data vs interpreting raw data.
Agreed 🫡
There’s a lot of techniques to improve knowledge retention, though I find these 4 are the most practical to continuously implement
Underrated framework for viewing relationships
Potential biases to look out for in causal inference
A refresher on one of my favorites: Simpson’s Paradox
Why Conjoint Analysis Matters
It doesn’t just tell you what customers like—it reveals how much they value each feature.
Used in:
✔️ Airlines: Legroom vs. Ticket Price vs. Wi-Fi
✔️ Smartphones: Camera Quality vs. Battery Life vs. Price
✔️ Streaming Services: Ad-free vs. More Content vs. Lower Cost
Step 5: Optimize Product Offerings
With these insights, businesses can refine products, pricing, and marketing based on what actually drives customer choices.
Example: A phone brand can decide whether to focus on battery life or camera quality.
Step 4: Use Statistical Models
Advanced models (like Hierarchical Bayesian or Logit models) analyze responses to determine:
✅ The relative importance of each feature
✅ How much customers are willing to pay for each attribute
Step 3: Collect Responses
Surveys gather data from a representative sample. Instead of ranking preferences, consumers make real-world trade-offs—revealing what matters most.
Step 2: Design Choice Scenarios
Customers see different product combinations & must pick their preferred option.
Example: A travel company may ask:
✈️ Option A: $200 ticket, extra legroom, no Wi-Fi
✈️ Option B: $180 ticket, standard legroom, free Wi-Fi
Step 1: Define Attributes & Levels
• Attributes = Product features (e.g., price, battery life, screen size).
• Levels = Variations of each attribute (e.g., price: $599, $799, $999).
These define what customers will compare.
Conjoint analysis is a powerful technique that measures consumer preferences by simulating real-world decision-making. Instead of asking what customers want, it presents trade-offs between product features.
Here’s how it works 👇
The evolution of marketing in 5 stages:
1️⃣ Production Concept: Efficiency is king.
2️⃣ Product Concept: Quality above all.
3️⃣ Sales Concept: Persuasion dominates.
4️⃣ Marketing Concept: Customer-first focus.
5️⃣ Societal Marketing: Responsibility meets strategy.
Interleaving Practice - Humans vs. AI: Seeing Patterns That Aren’t There
Honing my infographic skills at the moment
FYI I get this even though I granted location access while using the app. I initially gave less access (once, not precise) but fixed it and still see this after relaunching
That blog post is great, appreciate it!
Just started using PostHog (@posthog.com) for my mobile app. Anyone recommend particular insights/views to monitor?
Late to this one but just finishing Made to Stick. Great read for indie hackers on the marketing front.
5 Ways Entrepreneurs Identify Opportunities (Schumpeter’s framework):
• Develop a new market for an existing product.
• Find a cheaper supply of resources.
• Use existing tech to improve an old product.
• Use existing tech to create a new product.
• Use new tech to create a new product.
Found the boilerplate for my react native app essential. Made integrations with payments, push notifications, analytics an afterthought. I don’t see cursor understanding how to best place/implement those in a complex app.
Just launched my first mobile app, an audio app focused on knowledge retention and recall. Check it out!
youtu.be/F6t_0i7vNyk?...
Anyone else recently launch an iOS app and is interested in being mutual beta testers? We can review each other's apps.
Think about this quite often
The 4 characteristics of goods vs. services: Tangibility, perishability, separability, and standardization. Understanding these helps craft better customer solutions.
