Shallow thinking is DEAD. AI handles the basics ~ calculations, summaries, and patterns. It doesn’t ask why. To stay ahead, dig deeper. First principles. Creativity. Problem-solving. The stuff AI can’t touch. AI can draft the plan, but only you can make the call. Thinking better beats knowing more.

@tiwariontwt I'd prefer sabudana khichdi any day.

Workcation mode is on.

My mom still thinks I have a "computer job." My friends think I'm "living the startup dream." My team trusts me with their careers. My bank knows I owe them 1Cr+. Only my diary knows I'm terrified of going broke. This is the founder's story They don't show on LinkedIn... But here's what I learned when I nearly lost it all: > Fear is a terrible advisor, but an excellent teacher When our major clients started dropping (yes, multiple at once), my first instinct was panic. But panic makes you reactive. Instead, I learned to: - Cut expenses without cutting hope - Negotiate with vendors openly - Focus on core services instead of chasing shiny new projects > Your team is your strongest safety net - My team took voluntary pay cuts. - They stayed through the storms. - They believed in our vision when numbers didn't make sense. (If you're on my team reading this - Thank you) > Bootstrap ≠ Broken Being bootstrapped felt like a disadvantage until I realized: - Every rupee spent was deeply considered - We couldn't afford vanity metrics - Our mistakes were ours to learn from - Our victories were ours to keep > Core expertise is your lighthouse My biggest lesson is never to divert from your core strength when it's your main revenue source. I learned this the hard way by experimenting with multiple ideas simultaneously. Curiosity is good, but not at the cost of stability. > Rock bottom has a silver lining when you're at the bottom, you learn: - Who believes in you - What you're truly capable of - Which relationships matter - How resilient you are Today, we're still building and still believing. What I learned as a founder is > Your company's bank balance doesn't measure your worth. > Your journey isn't defined by your lowest moments. > Your story isn't over until you decide it is.

Product Hunt replies offers some of the most authentic and insightful responses across tech, product, design, and life.

Open Instagram, then open your banking app. Notice how different they feel? That's not a coincidence - that's psychology. brands don’t just design products they create experiences. Every button, color, and interaction is intentional. Here's how psychology shapes the way their digital products “feel.” 1/ Fluency Effect The easier something is to process, the more users trust it. Simple navigation = credibility Clean design = reliability That’s why Apple feels intuitive because you never have to think twice. 2/ Hick’s Law Too many options = decision paralysis. Big brands prioritize clarity by limiting choices. Think: Netflix’s curated “Top Picks.” They guide users instead of overwhelming them. 3/ Aesthetic-Usability Effect If it looks good, people assume it works well (even if it doesn’t). Luxury brands use sleek, minimalist designs. High-quality visuals = perceived high-quality product. 4/ Zeigarnik Effect Humans hate unfinished tasks and big brands use this to nudge users: Progress bars “Just one step left,” notifications think of LinkedIn’s profile completion bar it keeps you coming back. 5/ Social Proof No one wants to be the first to try something new. brands build trust by showcasing: - Reviews - Testimonials - “Used by millions” banners Example: Airbnb’s “Join 4M+ hosts” messaging. 6/ Fogg Behavior Model Behaviour = Motivation × Ability × Trigger. Motivate: Offer rewards or benefits. Simplify: Make actions ridiculously easy. Trigger: Use nudges like notifications or pop-ups. 7/ Reciprocity Principle - give first, then ask. - Free trials - Bonus content - Discounts for new users Spotify’s “3 months free” hooks you before asking for payment. 8/ Von Restorff Effect We remember what stands out. - Highlight CTAs in bold colors - Use unique microscopy (“Oops!” or “You’re crushing it!”) - Make the experience memorable 9/ Endowment Effect People value things more when they feel ownership over them. brands use this by: - Letting you customize (Nike By You, Notion templates) - Showing progress (Duolingo’s streaks) - Personalizing content (Spotify Wrapped) The more invested you feel, the harder it is to leave. 10/ Scarcity Principle People want what they think they can’t have. They create urgency with: - “Only 2 left in stock” (Amazon) - “This deal expires in 24 hours” (Booking dot com) - “Waitlist-only” products (Superhuman, Clubhouse) - Limited access makes something feel more valuable. Brands don’t just create digital products they shape emotions. They know how to make users feel: Safe Smart Engaged Every digital product feels a certain way for a reason. brands don’t just design screens and they design emotions. That’s why you keep coming back. Which of these principles have you felt while using a product? 👇

You’re the average of the five ideas you consume daily. Be careful what you binge until it's a cat video.

Startups thrive on culture, just like sports teams. The best players can’t win if the locker room’s a mess, just saying.

@waveringmindz To you too, Gagan

@TurnerNovak they already did.

RT @TurnerNovak: LinkedIn gonna be crazy when they find out about DeepSeek next week

@pmitu daily reminders to anyone who's building.

@svembu This is such a heartfelt decision and it’s inspiring to see you follow your passion for R&D and rural development. As someone who looks up to leaders like you, I can’t wait to see the incredible innovations and impact you’ll create in this new chapter. All the very best :)

@LiangWenfeng_ deepseek should start churning memes too xD

> this is a 1-year-old startup with an MIT license > spent ~$6 B on training its models which is 26k times less than OpenAI's entire value > crashed Nvidia's stock by 13% > woke up & became the biggest rival anyone has ever seen > everything is open source

my best employee left last year... and it was entirely my fault because I failed to give feedback properly. > I thought I was being "honest" with my feedback. > Instead, I was slowly destroying my team's morale. Here's what I learned about giving feedback that builds great teams: 1/ Be specific, not harsh Instead of saying, “This isn’t good enough,” Say "The layout needs more white space to improve readability" Feedback is useless if it’s vague. Be specific about: - What the issue is - Why it matters - What needs to change 2/ Focus on the work, not the person. Skip: "You're careless with details" Try: "Let's review these key points together" The goal is to improve the outcome, not attack someone’s character 3/ Show you care Start with what's working & then suggest improvements “You’ve worked hard on this design. Let’s adjust the alignment to make it cleaner. Great job pushing this forward!” 4/ Make it a conversation Ask "What's your thinking behind this?", What do you think could improve here?” Feedback shouldn’t be a monologue it's a two-way street always listen before suggesting changes. 5/ Make it actionable. Bad: “This isn’t working.” Say: “This font size feels off. Let’s increase it by 2 points for better readability.” 6/ Keep it private Keep tough conversations behind closed doors and celebrate wins where everyone can see them. 7/ Always leave the conversation with optimism. Try: “I know this will improve, and I’m confident you can make it happen. If you expect your team to handle feedback well, show them how. Be open to receiving feedback on your leadership. Ask: “How can I support you better?” The right feedback doesn't break trust. It builds it Give it with intention, and watch your team thrive.

It reaffirms a simple math: disciplined building works. Prioritising product, profitability & long-term thinking leads to outcomes that matter for the founders and the entire ecosystem. Congrats for the big win, folks :)

@elonmusk You made this algorithm, elon.

@s_jaspreet099 @abnux Fantastic

AI will create wealth faster than any industrial revolution ~ but it risks concentrating it at the top. The antidote is decentralisation: open-source tools, AI-driven gig economies, and policies for fair distribution. Like, AI-powered automation at Amazon has increased profits, but the workforce benefits marginally compared to shareholders. Imagine an open AI platform creating tools for independent shop owners instead. 🤔