Sairee Chahal

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Sairee Chahal

Sairee Chahal

@Sairee

#UniverseGirl 💜 @SHEROES @MahilaMoney @AppreciateVC employment entrepreneurship capital for women #womensinternet

India Katılım Kasım 2008
18.5K Takip Edilen335.4K Takipçiler
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Aditya Agarwal
Aditya Agarwal@adityaag·
Applications for Curiosity 2026 by @spc_india are open. Selected teams building in deep tech will demo in front of judges, fellow builders, and investors. ₹1.25 Cr+ in grants. More prizes to come.
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Sairee Chahal
Sairee Chahal@Sairee·
So much native business intelligence sits in our inboxes and social media, but not enough AI-native ways to tap into those. Plugging in Claude or Deepseek is not the way. We need tools inside our existing tools, completely headless, working with us. Not another app or tool, but adjacent intelligence tapping into existing workflows. Email is probably the biggest one.
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Sairee Chahal
Sairee Chahal@Sairee·
You can't be an AI native product and have 'book a demo' - the first thing AI should deliver is show me your product. Get the foot in the door. Otherwise, you are just a SAAS native with AI tooling.
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Sairee Chahal
Sairee Chahal@Sairee·
Live on @ProductHunt @OptimizeGEO - check them out. OptimizeGEO helps brands win visibility, accuracy, and trust in AI answers. It tracks how your brand appears across ChatGPT, Gemini, Perplexity, Claude, and other answer engines, measuring visibility, share of voice, competitor presence, and accuracy. Then AI agents identify issues, prioritize fixes, and improve your content, citations, website, PR, and AI readiness, so your brand shows up more often, more accurately, and with measurable business impact. I am an early angel and leading their pre Series A. So if you want a connect for your business or want to invest, let us know. @kirthigareddy @casaurabhdoshi producthunt.com/products/optim…
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Sairee Chahal retweetledi
Oliver Jones
Oliver Jones@Agent_Oli·
Oh yea, I'm hosting a strength training workshop for runners on 16th at Bangalore City University, come join! @GoAthlos is sponsoring the event. Entry fee is a nominal INR 300. Here is the signup form: dub.sh/BjKz8yP
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Steph Smith
Steph Smith@stephsmithio·
Everyone should go to Japan at least once (preferably early in life) just to understand what a highly functioning society can look like
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Ben Cera
Ben Cera@Bencera·
$8.5M run rate. One founder + AI + agent startups. Zero employees. Got hit by a $1M Anthropic bill last month. I underestimated how much people would ask Polsia to do. How complex the codebases would get. How much autonomy users would want from AI. Now I know. Going all-in on making AI cheaper, so the product gets more affordable and more autonomous for users. GPUs GPUs GPUs. Name of the game.
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Mahila Money
Mahila Money@MahilaMoney·
From a grandmother’s tailoring school in Athens to the Met Gala red carpet Dimitra Petsa built Di Petsa in 2019. Self-funded Last night her dress was on the most watched red carpet in the world. We back women like her. Before the world looks #MetGala2026 #DiPetsa
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Sairee Chahal
Sairee Chahal@Sairee·
After a massive age of layoffs, we will be entering the age of massive micro companies and self employed with agentic workforce. Starting up will fundamentally change - big big big - and long tail of nano nano nano. Whatever skill you offered to your employer - that plus agents in a open ended marketplace of skills and tasks.
GREG ISENBERG@gregisenberg

Coinbase is now testing 1 person teams + AI agents and announced laying off 700 employees. Other companies doing this (layoffs + AI): 1. Shopify: No new headcount unless you prove AI can’t do the job. 2. Block: Cutting ~4,000 roles (~40%); Dorsey says AI lets much smaller teams do more. 3. Klarna: Its AI assistant now does work equivalent to about 700 support roles. 4. Duolingo: Went “AI‑first,” telling teams to rebuild workflows around AI before hiring. 5. Salesforce: Paused new engineering hires after AI tools boosted dev productivity ~30%. 6. Amazon: Cutting about 16,000 corporate jobs this year in an efficiency/automation push. 7. Meta: Cutting ~10% of staff and freezing thousands of open roles as it doubles down on AI. 882 jobs per day disappearing in tech. This is the pace right now. And I think that's going to accelerate and move beyond tech. My POV: Every single one of these companies is telling you the same thing: one person with AI can do what used to take a team. They're literally saying it with their org charts. If you're employed, build a 1 person team on the side. If you're laid off, build one today. The tools that made your role redundant are the same tools that let you build your own company. The biggest wave of new startups is going to come from people who got restructured out of exactly these announcements.

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Krishna Mehra
Krishna Mehra@kpowerinfinity·
Three years ago, two technical founders in India started building AI infrastructure for a market that didn't exist yet. Today, @PaloAltoNtwks announced their intent to acquire @PortkeyAI. Huge congratulations to @jumbld, @ayushgarg_xyz and the entire Portkey team! It started with a problem they'd seen up close together at PepperContent. Conviction on where AI infrastructure was heading before most enterprises had shipped a Gen AI feature to production. A stellar team, a deeply opinionated product, a category they helped define from scratch. All built across a 12-hour time difference. When we first met them, what stood out wasn't the pitch. It was how clearly they could see around corners. They predicted the shift from "do I even need a gateway?" to "I need federated gateways in three regions" before most CTOs knew they had the problem. By the time we led their Series A a few months ago, Portkey was already governing $180M+ in annualized AI spend, processing 500B+ tokens a day for the likes of DoorDash, Roche, Postman, and Snorkel AI. They had a crisp view of becoming the default control plane for enterprise AI. Palo Alto Networks saw the same inevitability. This outcome validates that entire thesis. For a long time, the narrative around Indian startups was limiting. Great operators, but not category creators. Execution, not invention. There have been acquisitions before, but many were acqui-hires that quietly got tucked into a portfolio. Rohit and Ayush didn't get the memo. They built cutting-edge infrastructure that the world's biggest security company wrote a serious check to own. That narrative is now outdated. The next founder watching this thinks: "I can build from here, for the world, and win." That's the virtuous loop. For everyone in the corridor doing the 24-hour flights, the 6am customer calls, the cold LinkedIn outreach that goes nowhere, the late nights debugging on call while your kids sleep one timezone over: today is a good day. It's harder, but sometimes it's worth it :) This is just the beginning. Rohit and Ayush: you have just inspired a whole generation of founders. @PoorviVijay @mukularora Dhruv Jain Prerna Gupta Sanskar Jain @ElevCap
Portkey@PortkeyAI

Exciting News: We've signed a definitive agreement to join Palo Alto Networks! We started Portkey on a single idea: that AI in production would need a control plane. Not a feature, not a category somewhere on the side of the stack. Infrastructure. A place where governance, observability, security, and routing converge so that enterprises can run AI the way they run any system they actually depend on. Three years later, we route trillions of tokens per month for teams running AI at real scale. The idea became the floor. AI control planes don't win by being clever, they win by becoming standard. The default. The thing nobody questions is in the stack. That's the next chapter. Getting there at the speed the moment requires means joining a company with the depth, reach, and enterprise footprint to make the standard real. Palo Alto Networks is that company for us. Link to blog post: paloaltonetworks.com/blog/2026/04/s…

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Sairee Chahal@Sairee·
Incredible in so many ways 💚
Rahul Sanghi@RahulSanghi1

For the last three years, a startup in Bangalore has been obsessed with a pursuit that typically invites raised eyebrows, naked skepticism, and accusations of stealing from sci-fi: @dognosis is training dogs to detect cancer. And until you've spent time at their facility - a former pomegranate farm in the outskirts of Bangalore - perhaps skepticism is the rational response. But Dognosis isn't betting on some pie-in-the-sky idea or some charming novelty act, they're betting on evolution. @akadogluk and @Itamar_Bitan based their company on the fact that the dog's nose - a product of fifteen millennia of co-evolution with humans - can detect the faint chemical trace of cancer in your breath at a resolution that our machines, algorithms, and laboratory tests have never come close to matching. We've known this fact for decades. We've consistently failed to do anything meaningful with that knowledge. The missing link has been figuring out what the dog's nose knows, and applying it in a standardised, scalable, and clinically validated way. Dognosis is building this missing piece of the equation i.e. the translation layer that allows the dog's nose to speak a language medicine can understand, enabling us to harness an ancient biological intelligence and plug it into our modern medical infrastructure. Maybe you've read the paragraphs above and retained your skepticism. That's fair. But this past Friday, the Journal of Clinical Oncology - the world's most influential cancer journal - opted to make life much harder for the skeptics. On Friday, the JCO published Dognosis' landmark study on breath-based multi-cancer detection - the largest of its kind ever conducted - showing that a team of trained dogs, equipped with sensors and AI, could detect multiple cancers from breath alone at 90%+ accuracy - including at Stage I, when it matters most - for $2 a test. According to Akash, it proved "that everything we’ve known about the dogs is true". Needless to say, it's a genuine milestone for Indian healthcare, health-tech, deep-tech, and, uh, dog-tech, that deserves far more attention than it's gotten so far. To help change that, we were lucky to have Akash stop by the Tigerfeathers editorial desk this past week to unpack the Dognosis journey - helping us understand what they're building, how they're doing it, why it matters, and what comes next. From where we're sitting, Dognosis is an n-of-1 Indian startup with an n-of-1 story that everyone in the Indian tech ecosystem should be aware of. If you've been intrigued by what you've read so far and you're keen to go deeper, dive into our piece here👇 tigerfeathers.in/p/dognosis-unl…

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Sairee Chahal
Sairee Chahal@Sairee·
The Indian localised metallurgy used to play this role until the whole industry became unviable due to cost structures and red tape. The know-how still exists, but the industry needs more business friendly environment.
Object Zero@Object_Zero_

Turbine Products and Industrial Bottleneck The reason turbines are increasingly becoming an industrial bottleneck is because the only turbine technology that is in mass production today is the hyper-car class of turbine technology, imagine the only car your buy was a Lamborghini, a Bugatti, or a McLaren… that’s where the power turbine market is. Nobody is mass producing the Toyota and Honda class of turbine technology. All turbine product specifications currently in mass production are maximally efficient, and maximally thermodynamically performant. The products available in the market are simply not designed for rapidly scalable production. It’s all single crystalline metallurgy, refractory ceramic coatings and laser drilling. Yes, this stuff is hard to make. No it doesn’t need to be this way. Nobody is still mass producing your grandfather’s turbine. As demand balloons, order books swell, prices surge and lead times are now blowing out to 60 months!… That is more than enough time for a new entrant to come in with a basic, low cost, short lead time mass produced offering that enters the market and quickly captures 40% market share, just by keeping product specs simple enough to scale production capacity horizontally with low lead accessible plant equipment. This is an ironic example of the highest tech sectors needing some low tech solutions. If you see things holistically and you genuinely know what you’re looking at, the world looks different and the solutions to the biggest problems are kind of obvious to you, but this type of observation is just not that common. The real bottleneck in the world is that not many people see the world this way. I guess because it’s such a hard won perspective.

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