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Vibe Coding, Espresso, and the Future of Digital Products

A coding project idea emerged during a coffee shop visit for a coffee-centric app.
The project focuses on digital product transformation and exploring AI technology.
Initial experimentation with Vibe Coding revealed challenges and required technical troubleshooting.
Creating a functional prototype was quick, but refining for production proved more complex.
Debugging issues with map integration was a significant portion of the project's time.

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Medium

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Imitation isn’t flattery, it’s formation.

Imitation plays a significant role in human behavior, with children often over-imitating irrelevant or inefficient steps while learning.
This tendency towards over-imitation distinguishes humans, with adults continuing this behavior through legacy, ritual, and tradition.
While over-imitating can be seen as inefficient, it can also contribute to building culture and creating shared language and identity within teams.
However, it's essential to be intentional in deciding which practices to imitate to ensure they continue serving a purpose.

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Medium

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In defence of “vibe coding” (and why the haters are missing the point)

“Vibe coding” involves using AI tools to generate code from natural language prompts.
Critics often view vibe coders as lazy, unskilled, and dangerous, dismissing their skills.
Vibe coding is about vision-led development, prioritizing product vision and efficient tools.
AI tools enhance but do not replace traditional software engineers in building complex systems.

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Medium

253

Why Smart Teams Are Listening Differently: Meet VocalLabs.ai, Your Voice Analytics Co-Pilot

VocalLabs.ai is an AI-powered tool that helps teams turn voice conversations into actionable insights.
Using AI, VocalLabs.ai analyzes voice data to detect key themes, customer sentiment, and intent.
The tool can sync with various platforms like Zoom, Slack, and CRMs to provide real-time insights from voice interactions.
VocalLabs.ai differentiates itself by offering actionable voice insights, expanding integrations, and focusing on understanding the true meaning behind voice data.

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Medium

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Don’t Just Want to Hear Words — I Want to Feel What People Mean: That’s Why VocalLabs.ai Matters

VocalLabs.ai focuses on capturing the emotions and nuances in voice conversations, beyond just transcribing words.
The tool analyzes tone, emotion, hesitation, and energy in voice interactions like demo calls, support calls, and customer interviews.
VocalLabs provides insights on real feelings and patterns to help users understand the emotions conveyed during conversations.
The tool aims to help businesses better understand customer sentiments and improve overall communication by capturing subtle cues that are often missed in written feedback.

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Medium

171

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LinkedIn’s Zip: A Quiet Game That’s Changing How We Think About Engagement

LinkedIn has rolled out a simple, daily logic game named Zip for users.
Zip offers a moment of play without setup, scrolling, or social energy.
It enhances user engagement by fitting into short, quiet moments and providing closure.
The game boosts daily active usage, re-engages users, and fuels behavioral data.

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Medium

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Unlocking the Power of Voice: How VocalLabs.ai is Changing the Game

VocalLabs.ai uses AI and emotional intelligence to decode conversations, capturing not just words but tone, pitch, and emotion.
It provides real-time insights into how users are feeling, helping businesses understand customer sentiment and improve experiences.
VocalLabs.ai transforms raw voice data into actionable insights for product development and helps in coaching sales and support teams more effectively.
Unlike traditional feedback methods, VocalLabs.ai focuses on voice feedback, offering emotional analysis and strategies to help businesses build better products and enhance customer interactions.

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Medium

408

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You learn by teaching… This is the moment. Make your dream real.

Starting a series of posts to share learnings, applications, and results.
Focus on sharpening thinking, perspective, and growing in professional endeavors.
Insights on communication, trust building, product relevance, and success definition.
Embracing human conversations, building trust, and avoiding stagnation in professional relationships.
Revisiting strategies for customer engagement, content creation, and business clarity for growth.

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Medium

253

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What Product Managers Can Learn From Obeya

Obeya, derived from lean and agile practices, is a method for fostering collaboration and visibility in product management.
It brings forth core principles like creating a single source of truth, fostering continuous improvement, and aligning priorities to bridge strategy and execution.
Obeya enables teams to move from isolated workflows to collaboration, enhancing transparency and real-time progress tracking.
Its essence lies in making product thinking visible and promoting collaborative discussions rather than being a mere tool for product management.

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Medium

384

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Who Really is an AI Product Manager?

A regular PM might confuse using ChatGPT with being an AI PM, while a true AI PM understands neural networks and machine learning concepts like supervised and unsupervised learning.
Key technical tasks for a true AI PM include reducing chatbot hallucination rates and defining trade-offs between response quality and API costs for user segments.
To become an AI PM, individuals are advised to learn the basics of machine learning, work with data, collaborate with ML engineers, launch pet projects, and focus on practical AI applications rather than hype.
Being an AI PM requires a distinct skill set beyond traditional project management, emphasizing a deep understanding of AI technologies and their applications.

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Medium

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Hooked for Product Managers

Products encourage daily use through the Hooked Model to build user engagement habits.
The model includes triggers, actions, variable rewards, and user investment to sustain engagement.
Understanding internal and external triggers, motivations, and investments builds habit-forming products.

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Medium

326

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Sales first, or brand value?

Choosing between focusing on sales or building brand value is crucial for long-term success.
Sales drive immediate results like orders and profit, but brand value ensures lasting impact and presence in people's minds.
Building a brand story leads to trust, familiarity, and repeat customers, creating lasting relationships that contribute to sustained business growth.
While sales are important for progress, branding plays a significant role in establishing a strong and recognizable identity for the future.

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Logrocket

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Leader Spotlight: Making informed partnership and acquisition decisions, with Trey Courtney

Trey Courtney, Global SVP & Chief Product Officer at Mood Media, discusses partnership and acquisition decisions.
He highlights differences in product management in VC-backed firms vs. PE-backed ones.
Courtney emphasizes the importance of addressing the people side in acquisitions and integration challenges.

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Medium

322

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The AI Trap Every PM Falls Into

Aggressive AI adoption may hinder critical thinking and learning in product management roles.
Tasks like writing and problem-solving hold value in their challenges and complexity.
Strategic use of AI requires evaluating unique human value, learning value, and leverage.
Successful human-AI collaboration amplifies strengths and maximizes time on irreplaceable tasks.

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Logrocket

352

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Leader Spotlight: Adopting and championing responsible AI, with Asma Syeda

Asma Syeda, Director of Product Management at Zoom, champions responsible AI and automation.
She emphasizes the importance of transparency, ethics, and obtaining stakeholder buy-in for AI adoption.
Asma shares insights on aligning AI transformation with business goals and navigating ethical considerations.
Her approach involves building trust, continuous learning, and balancing innovative speed with responsible AI deployment.
By promoting diversity, transparency, and accountability, Asma advocates for sustainable AI practices and ethical governance.

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