The benefits of bubbles (15 minute read) The AI frenzy is a bubble, but bubbles often build the future. Even if the hype bursts, today's rush to invest in chips, power, and new ideas could spark lasting innovations that drive growth for generations. | Prototypes vs Products (4 minute read) Gen AI prototyping tools expand product creation access. However, they blur the line between prototypes and real products, which require far greater complexity, reliability, and scalability. | | Mission, Vision, poTAYto, poTAHto (17 minute read) Most companies use "mission" and "vision" as hollow slogans. However, when done right, they clarify purpose, guide choices, and connect profit to impact. Define why you exist, what future you're building, and the next milestone to get there - words only matter if they drive action. | Braindump on viral loops (8 minute read) Web 2.0 established engineered viral loops and the viral factor, but mobile and saturation ended classic virality. Durable growth now comes from retention-led, multi-loop products. Flashy tactics only create spikes. | | How to Get Feedback (4 minute read) As leaders rise, honest feedback fades. Building trust, inviting openness, and modeling vulnerability make feedback safe and essential for continued growth. | Why Value Outlasts Valuation (6 minute read) Enduring success in technology comes from creating real value, not chasing inflated valuations. Lasting impact arises when products solve genuine problems rather than impressing investors with hype. | | | Love TLDR? Tell your friends and get rewards! | | Share your referral link below with friends to get free TLDR swag! | | | | Track your referrals here. | | Want to advertise in TLDR? 📰 If your company is interested in reaching an audience of product management professionals and decision makers, you may want to advertise with us. Want to work at TLDR? 💼 Apply here or send a friend's resume to jobs@tldr.tech and get $1k if we hire them! If you have any comments or feedback, just respond to this email! Thanks for reading, Ellen Le & Sinan Zhang | | | |
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