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“Peer Endorsement Loops: How to Build Viral Trust Engines Using Social Proof Psychology” Peer Endorsement Loops are viral feedback systems where user behavior reinforces trust, credibility, and conversions—through the visible support of peers. Thi

there’s a weird silence after launch no likes no users no replies that’s not failure that’s data tweak screenshots fix onboarding post again tomorrow someone’s watching quietly

Things to keep in mind when developing a social media app!! --- 🚀 **Building a Social Network App? Key Insights:** 1. **User Behavior**: 99-1 Rule—90% consume, 9% engage, 1% create. Encourage engagement beyond contributions. 2. **Retention Strat

I read an article called The Month 1 Retention Dilemma by Harsh, and it had some really good points: Many apps think they have great retention, but a lot of users just forget to cancel. That’s not real loyalty. It just looks good on charts. For so

᠅ Founder Tip: Launching late won’t make your product better—just invisible A lot of founders wait. “I’ll launch after this one feature…” “I just need to fix the UI…” “I want it to feel more polished…” But here’s the truth: You’re not building for

Let's break down the essential stages of a well-designed software customer journey: Awareness: How do users first discover you? (Ads, referrals, search) Consideration: What makes them choose you? (Comparisons, reviews, exploring your site) Onboard

I built CrispCV to fix the most annoying part of job apps: rewriting your summary for every job. Paste your resume → get a clean, tailored intro in seconds. Here’s a real before/after example with no fluff. Try it → https://crispcv.netlify.app I’d

Ycombinator Day 4: 🚀 Mastering Product Building, User Talks & Growth Strategies! Key Insights 🤩🤔🚀: • Don't build secretly, get users from the start • Learn the problem deeply, identify customer segments • Define minimum viable product (MVP) •

Retention = High Product Value + Low Cognitive Effort A product’s value isn't just in what it does but in how effortless it feels to use. Tiny frictions add up, causing users to drop off before onboarding or leave for a better alternative. Imagine

Common Mistake That Kills Startups 🧨 One of the deadliest mistakes that kills startups early is scaling too soon without product-market fit. Many founders rush into hiring, marketing, and expansion before truly validating their solution with rea