Praval Singh

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Praval Singh

Praval Singh

@Praval

VP - Marketing and Customer Experience, @Zoho. ❤️ India—SaaS—Coffee—Cooking—Poetry—Uttar Pradesh. Also: beaches, mountains, and villages. Your Zoho guy!

Delhi Inscrit le Aralık 2007
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Praval Singh
Praval Singh@Praval·
Good morning, India! 🇮🇳❤️ While the general mindset around building a business is to move fast and break things, we asked, how do you stay the course and build one for the long term? At @Zoho, we chose an unconventional path by taking our time to validate our convictions and building a suite of world-class products. None of this could have happened overnight—it has been a journey of patience and perseverance, and one that required staying true to our beliefs, through all the highs and lows. This campaign is a reflection of our approach towards sustainable growth. Watch video (English): youtu.be/4ivmul54L-w Watch video (Hindi): youtu.be/lJen7rbL6vg Website: zoho.com/time/ #GoZoho
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Balaji
Balaji@balajis·
I'm going to make some obvious points. (1) Blowing up all the oil infrastructure in the Middle East is an insane idea, and may well result in a global economic crash and humanitarian crisis unrivaled in the lives of those now living. We're talking about the price of everything everywhere rising, from food to gas, at a moment when inflation was already high. All of that will be laid at the feet of the authors of this war. (2) The antebellum status quo of Feb 27, 2026 was just not that bad, but we're unlikely to return to it. Expect indefinite, long-term, ongoing disruptions to everything out of the Middle East. (3) Also assume tech financing crashes for the indefinite future. The genius plan to get the Gulf states caught in the crossfire has incinerated much of the funding for LPs, for datacenters, and for IPOs. Anyone in tech who supported this war may soon learn the meaning of "force majeure" as funding gets yanked. (4) Many capital allocators will instead be allocating much further down Maslow's hierarchy of needs, towards useful basic things like food and energy. (5) It's fortunate that all those progressives yelled about the "climate crisis." Yes, their reasoning about timelines was wrong, and much of the money was wasted in graft, but the result was right: we all need energy independence from the Middle East, pronto. It's also fortunate that Elon and China autistically took climate seriously. Now they're going to need to ship a billion solar panels, electric vehicles, batteries, nuclear power plants, and the like to get everyone off oil, immediately. (6) It's not just an oil and gas problem, of course. It's also a fertilizer problem, and a chemical precursor problem. Maybe some new sources will come online at the new prices, but it takes time to dial stuff up, particularly at this scale, so shortages are almost a certainty. That said, China has actually scaled up coal-to-chemicals[a,c] (C2C), and there's also something more sci-fi called Power-to-X[b] which turns arbitrary power + water + air into hydrocarbons. But all of that will need to get accelerated. I have a background in chemical engineering so may start funding things in this area. (7) Ultimately, this war is going to result in tremendous blame for anyone associated with it. It's a no-win scenario to blow up this much infrastructure for so many people. Simply not worth it for whatever objective they thought they were going to attain. But unless you're actually in a position to stop the madness, the pragmatic thing to do is: scramble to mitigate the fallout to yourself, your business, and your people. [a]: reuters.com/business/energ… [b]: alfalaval.com/industries/ene… [c]: reuters.com/sustainability…
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Praval Singh
Praval Singh@Praval·
100000 words later: how I cut down on typing and started ‘thinking out loud’ :) 100K words, or how Wispr Flow calls it “a complete book”. Dictated, not typed. Not copy-pasted. Not generated. But, spoken into @WisprFlow, across meetings, commutes, half-formed thoughts early morning with my first cup of coffee, and sentences I'd have otherwise abandoned because the friction of typing killed them before they landed. As someone who spends a good chunk of my day moving between messaging apps, emails, notes, and documents, the keyboard has always been the primary gateway for putting words to my thoughts. A couple of months ago, I set out to use an AI-powered voice-to-text app on my computer and phone, and I quickly got hooked. The fact that I was enjoying dictating a 'rough brain dump' and having it instantly format it into a note or even a brief, not just a transcript, but a structured outcome, much faster. Or, as they say, at 'the speed of thought'. I’d call this ‘speed gap’ a productivity tax we’ve been paying for decades. Here's what changed: It's the gap between thought and text. It doesn't just transcribe; it cleans up the spoken cadence into something readable without stripping out the voice. But, here's the bigger picture I've been sitting with: - Voice-first AI interfaces aren't just a convenience feature. They're likely to lead us into a structural shift in how humans interface with machines. - Who creates content changes. People who think fast but type slowly now have an equal footing. The asymmetry is gone. - What AI is actually for becomes clearer. Tools like Wispr Flow aren't replacing thought; they're removing the tax on it. That's the right job for AI: to eliminate friction. I can safely say that the keyboard is becoming the secondary input device, at least for some of us. If you haven't tried an AI-native voice tool yet, I’d highly recommend you give them a try! P.S. Not a promotional post. A happy customer here. And while I am at it, I can't wait to see the Hinglish and Hindi language support improve.
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Naval
Naval@naval·
Coding an app is the new starting a podcast.
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Ole Lehmann
Ole Lehmann@itsolelehmann·
i can't believe nobody caught this. Anthropic's entire growth marketing team was just ONE PERSON (for 10 months, confirmed) a single non-technical person ran paid search, paid social, app stores, email marketing, and SEO for the $380B company behind claude here's exactly how one human is doing the job of a full marketing team: it starts with a CSV. 1. he exports all his existing ads from his ad platforms along with their performance metrics (click-through rates, conversions, spend, etc) 2. feeds the whole file into claude code 3. and tells it to find what's underperforming. claude analyzes the data, flags the weak ads, and generates new copy variations on the spot this is where he gets clever: he then splits the work into 2 specialized sub-agents: 1. one that only writes headlines (capped at 30 characters) 2. and one that only writes descriptions (capped at 90 characters). each agent is tuned to its specific constraint so the quality is way higher than cramming both into a single prompt so now he's got hundreds of fresh headlines and descriptions. but that's just the text. he still needs the actual visual ad creative, the images and banners that go on facebook, google, etc. so he built a figma plugin that: 1. takes all those new headlines and descriptions 2. finds the ad templates in his figma files 3. and automatically swaps the copy into each one. up to 100 ready-to-publish ad variations generated at half a second per batch. what used to take hours of duplicating frames and copy-pasting text by hand so now the ads are live. the next question is which ones are actually working. for that he built an MCP server (basically a custom integration that lets claude talk directly to external tools) connected to the meta ads API. so he can ask claude things like: • "which ads had the best conversion rate this week" • or "where am i wasting spend" and get real answers from live campaign data without ever opening the meta ads dashboard and the part that ties it all together and closes the loop: he set up a memory system that logs every hypothesis and experiment result across ad iterations. so when he goes back to step one and generates the next batch of variations... claude automatically pulls in what worked and what didn't from all previous rounds. the system literally gets smarter every cycle. that kind of systematic experimentation across hundreds of ads would normally need a dedicated analytics person just to track the numbers from the doc: ad creation went from 2 hours to 15 minutes. 10x more creative output. and he's now testing more variations across more channels than most full marketing teams a $380 billion company. and their entire growth marketing operation (not GTM) = just one person and claude code lol truly unbelievable
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Maahir Panchal
Maahir Panchal@maahirpanchal·
Coimbatore has more precision engineering capacity than most Indian states put together. So does Rajkot! No co-working spaces. No "build in India" murals. No one writing threads about it. The serious manufacturing belt doesn't perform startup culture. It just manufactures.
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Alex Lieberman
Alex Lieberman@businessbarista·
Anthropic just published a 17-page report on AI's impact to jobs. It's worth reading, but here are some of the key points made & my observations: Key points: 1) The gap between what AI can do and what people are doing with it is massive. In Computer & Math jobs, AI could handle 94% of tasks. Actual usage is 33%. 2) This isn't coming for factory workers first. The most exposed workers are older, more educated, and higher-paid, earning 47% more than unexposed workers. AI is aimed squarely at white-collar knowledge work. 3) No mass unemployment yet. Zero systematic increase in unemployment for highly-exposed workers since ChatGPT launched. But... 4) Young workers are already getting squeezed. Job finding rates for 22-25 year olds entering high-exposure jobs dropped ~14%. The labor market isn't contracting from the top. Tt's narrowing from the bottom. 5) 30% of workers have literally zero AI exposure. And 97% of actual AI usage falls within what's already theoretically possible. People aren't pushing boundaries of the technology. 6) Most at-risk roles: Computer Programmers lead at 75% coverage, followed by Customer Service Reps, Data Entry Keyers (67%), and Financial Analysts. 7) Least at-risk roles: Cooks, Motorcycle Mechanics, Lifeguards, Bartenders, Dishwashers, Dressing Room Attendants. Jobs where your hands, your body, or your physical presence is the work. My observations: 1) The gap between theoretical and actual AI usage isn't a technology problem. It's a knowledge and process problem. Most people play with a tool for 30 minutes, don't get the output they expect, and decide the technology is dumb and broken. The person is broken, not the technology. You wouldn't hand an intern a laptop on day one and expect killer output with zero onboarding. But that's exactly what people do with AI. 2) Junior workers are getting hit first because the cost of failure is lowest. Companies will trust AI for scheduling, meeting prep, and basic engineering work before they'll trust it for strategic decisions. No exec wants to be the schmuck who trusted a hallucinating model and bombed their board meeting. So the work that gets automated first is the work that juniors/offshore talent used to do. 3) The calm before the storm is real. I believe double-digit percentages of white-collar workers will end up displaced. The only reason we aren't seeing it yet is because most companies haven't done the hard work. Rethinking org design from first principles, mapping every key process, building the infrastructure to actually run leaner. They can't confidently say "if we let go of 20% of our people today, would the business still run?" But this is a knowledge and process issue, not a technology issue. And it will be figured out. because you'll be competitively disadvantaged if you don't. 4) There's a great irony happening before us. Most humans behave like robots. Follow marching orders. Forget to reflect. Don't improvise. Wait for instructions. Meanwhile, robots are behaving more like humans. Generative. Deep thinking. Context-aware. Making adjustments as needed. 5) You need to automate yourself out of your job. Seriously. If you succeed, you've AI-proofed yourself. - You become the person who orchestrates the work, not the person the work replaces. - And you become the shining star in your company — the person leadership looks to and asks "how do we replicate what you've done across every role?" 6) This sounds scary, but new roles will be created. As with every technology paradigm, job destruction begets job creation. AI is different and has its own shape, but there will absolutely be new roles available to those who stay on the frontier. Now, the question to debate is how many new roles & do they offset lost roles. But I can imagine roles focused on orchestration, judgement, and adoption becoming more and more prevalent: - AI Process Architect - Agent Operations Manager - AI Quality Assurance/Output Auditor - AI Onboarding Specialist - Decision Architect - AI Ethics & Risk Officer - Synthetic Media Producer - Knowledge Curator
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Andrew Curran
Andrew Curran@AndrewCurran_·
Striking image from the new Anthropic labor market impact report.
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Tech Layoff Tracker
Tech Layoff Tracker@TechLayoffLover·
Just got off calls with 23 CTOs across fintech, adtech, and logistics The headcount math has fundamentally changed Average team that was 12 engineers 18 months ago is now planned for 4 by Q2 2025 One CTO walked me through their "AI-first restructuring": 47 engineers today, 16 planned post-reorg. Same product velocity expected. Another just cut their entire QA org. 31 people. Replaced with 2 senior engineers running automated testing through Claude API calls. CTO said "quality actually improved" The most honest one told me they're keeping 1 senior engineer per major product area plus contractors in Bangalore with Copilot access. "Why pay $180K when $35K plus AI gets you 85% of the output" New grad hiring is a dead category. Zero offers planned across all 23 companies for 2025. "We'll hire seniors to manage AI agents instead" Mid-level engineers (L4-L5) are the most endangered. Senior enough to be expensive, not senior enough to manage AI effectively. Three CTOs called them "the squeezed middle" One logistics company eliminated 28 frontend engineers last month. Replaced with 4 seniors using AI-generated components and offshore contractors doing integration work Most chilling quote: "We realized we were paying Silicon Valley salaries for work that AI plus a smart college grad in India can do for 1/8th the cost" The timeline they're all working toward is brutal: 40-50% headcount reduction by end of 2025 "Efficiency gains" is the phrase they use on board decks. What they mean is humans are now optional.
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Anuj Rathi
Anuj Rathi@anujrathi·
Hiring, product manager #1. Retweet for good karma, dear X.
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Paul Graham
Paul Graham@paulg·
Prediction: In the AI age, taste will become even more important. When anyone can make anything, the big differentiator is what you choose to make. paulgraham.com/taste.html
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Praval Singh
Praval Singh@Praval·
Everyone: AI AI AI AI AI. Apple: Reinvents a 30-year-old market nobody else could crack (low-end laptops) Nobody ignores the hype cycle quite like Cupertino. 😂 #AppleLaunch
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India Plus
India Plus@india_plus_·
🚨 Bengaluru based VoxelGrids has built a Made in India MRI machine, backed by Zoho, Founder Arjun Arunachalam returning to India to develop the technology. follow @india_plus_
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Dan Shipper 📧
Dan Shipper 📧@danshipper·
we just wrote the ultimate beginner's guide to OpenClaw almost everyone @every has one now, and they have completely changed the way we work and live. we're using our claws to: - build product - answer customer service queries - book hard-to-get restaurant reservations - track our reading notes and much more this is the guide we wish we'd had at the start: every.to/guides/claw-sc…
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Interstellar
Interstellar@InterstellarUAP·
🚨 Joe Rogan on AI - "Forget about your job, it's over" "Whatever's coming, get flexible. Get good. Get good on a bunch of different stuff. Learn how to think across disciplines." "Rule #1 for AI. Learn it now, run like hell, and above all else: “Get Flexible.”" Mind-bending advice! Are you diving into AI to stay ahead, or do you think it's overhyped? What's your plan to get flexible in this changing world?
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Ajey Gore
Ajey Gore@AjeyGore·
Today is my ONE month anniversary of me being on break, tinkering and being with family, friends and with myself. I had written an exit post, but then I converted that to blog, edited it, and finally published it here. Here is what it feels like. ajeygore.in/content/the-sp…
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skeleton
skeleton@ThinkingBone·
some thoughts on being a software developer right now
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Balaji
Balaji@balajis·
This is the first AI cut. And it will send shockwaves. Remember: Jack is one of the greatest founders of all time. He created this platform that we’re all on, and has been early to many technological shifts. And Block was doing very well as a business. So, for him to cut 40% of headcount in this way is a signal to everyone in tech: get good now. Become indispensable. Work nights and weekends. Learn the AI tools and raise your game. Or you might not make the cut, as an employee or as a company. I know. That sucks. But capitalism is natural selection. The market is unforgiving, because you are the market. After all, it’s not like you’re buying some random gallon of milk from the store; you’re always buying the best product at the best price. So too for apps: your customers are always installing the best piece of code they can get. And because AI is going to create new winners, if you aren’t the best in your market, someone may become better with AI. Particularly with the new agentic workflows. To be clear: Block’s severance is generous by any measure. 20 weeks of pay, six months of health insurance and vested equity, all of that goes far beyond any typical package. Jack did his level best to cushion the disruption. The laid off are a temporarily unfortunate class, as opposed to a permanent underclass. But had he not leaned into the AI transition, he might have had to lay off more people, slowly, and over time, as faster competitors went after his market share. How would they do that? Sure, AI isn’t a panacea by any means, but the closer you are to software engineering the more aggressively you need to embrace agentic workflows. The AI companies are already doing that, and places like Stripe, Shopify, Coinbase, and now Block are pushing hard on this area. There will be overcorrection. But the fundamental technical innovation is real. And you need to either disrupt yourself or get disrupted.
jack@jack

we're making @blocks smaller today. here's my note to the company. #### today we're making one of the hardest decisions in the history of our company: we're reducing our organization by nearly half, from over 10,000 people to just under 6,000. that means over 4,000 of you are being asked to leave or entering into consultation. i'll be straight about what's happening, why, and what it means for everyone. first off, if you're one of the people affected, you'll receive your salary for 20 weeks + 1 week per year of tenure, equity vested through the end of may, 6 months of health care, your corporate devices, and $5,000 to put toward whatever you need to help you in this transition (if you’re outside the U.S. you’ll receive similar support but exact details are going to vary based on local requirements). i want you to know that before anything else. everyone will be notified today, whether you're being asked to leave, entering consultation, or asked to stay. we're not making this decision because we're in trouble. our business is strong. gross profit continues to grow, we continue to serve more and more customers, and profitability is improving. but something has changed. we're already seeing that the intelligence tools we’re creating and using, paired with smaller and flatter teams, are enabling a new way of working which fundamentally changes what it means to build and run a company. and that's accelerating rapidly. i had two options: cut gradually over months or years as this shift plays out, or be honest about where we are and act on it now. i chose the latter. repeated rounds of cuts are destructive to morale, to focus, and to the trust that customers and shareholders place in our ability to lead. i'd rather take a hard, clear action now and build from a position we believe in than manage a slow reduction of people toward the same outcome. a smaller company also gives us the space to grow our business the right way, on our own terms, instead of constantly reacting to market pressures. a decision at this scale carries risk. but so does standing still. we've done a full review to determine the roles and people we require to reliably grow the business from here, and we've pressure-tested those decisions from multiple angles. i accept that we may have gotten some of them wrong, and we've built in flexibility to account for that, and do the right thing for our customers. we're not going to just disappear people from slack and email and pretend they were never here. communication channels will stay open through thursday evening (pacific) so everyone can say goodbye properly, and share whatever you wish. i'll also be hosting a live video session to thank everyone at 3:35pm pacific. i know doing it this way might feel awkward. i'd rather it feel awkward and human than efficient and cold. to those of you leaving…i’m grateful for you, and i’m sorry to put you through this. you built what this company is today. that's a fact that i'll honor forever. this decision is not a reflection of what you contributed. you will be a great contributor to any organization going forward. to those staying…i made this decision, and i'll own it. what i'm asking of you is to build with me. we're going to build this company with intelligence at the core of everything we do. how we work, how we create, how we serve our customers. our customers will feel this shift too, and we're going to help them navigate it: towards a future where they can build their own features directly, composed of our capabilities and served through our interfaces. that's what i'm focused on now. expect a note from me tomorrow. jack

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