Startup Spotlights

The Silicon Valley-based accelerator has been the launchpad for some of the most successful companies in history—Airbnb, Dropbox, Stripe, Reddit, Coinbase, and thousands more. Its demo day is the most anticipated event in the early-stage investing calendar. Getting into YC is often described as winning the startup lottery.

But Y Combinator’s influence extends beyond its flagship accelerator program. For years, it has also run Startup School, a free online program that democratizes access to startup education, offering lectures, mentorship, and resources to entrepreneurs around the world.

Reports indicate that over 20 companies have already filed draft documents with the Securities and Exchange Board of India (SEBI) , with many more preparing to follow suit. High-profile startups across e-commerce, quick commerce, mobility, and SaaS are expected to hit the stock market, collectively raising tens of thousands of crores of rupees.

This anticipated IPO pipeline is not just a financial event. It is a coming-of-age moment for the Indian startup ecosystem—a transition from private ambition to public accountability, from venture capital backing to retail investor ownership.

For years, the Indian startup ecosystem was a celebration of growth. Funding flowed freely. Valuations soared. Hiring was aggressive. Every founder dreamed of becoming a unicorn, and every employee dreamed of striking it rich with ESOPs.

But every party has a hangover.

In recent months, a sobering reality has set in. Reports indicate that more than 4,500 employees have been laid off by Indian startups across sectors. This wave of job cuts has touched companies of all sizes—from early-stage ventures to well-funded unicorns.

The layoffs are not a sign of collapse. They are a sign of maturation. After years of growth-at-all-costs, the ecosystem is undergoing a painful but necessary correction. The focus is shifting from vanity metrics to viability, from headcount to profitability, from expansion to efficiency.

For decades, the image of a successful Indian entrepreneur was someone with years of industry experience, an MBA from a top institution, and a network of well-connected mentors.

That image is changing.

Today, some of the most exciting innovation is coming from an unexpected place: college campuses. Young men and women, barely out of their teens, are spotting problems, building solutions, and launching ventures that compete with established players.

If 2025 was the year of the “performance-linked restructuring”—a polite term for the layoffs that swept through India’s startup ecosystem—then 2026 is shaping up to be the year of the great rebound.

After months of caution, cost-cutting, and consolidation, a new narrative is emerging. Startup hiring is not just recovering; it is evolving. And at the heart of this revival is a single, transformative force: Artificial Intelligence.

From the bustling offices of Bengaluru to emerging tech hubs in Pune, Indore, and Coimbatore, founders are dusting off their hiring plans. But this time, they aren’t hiring for just any role. They are hiring for the future. The demand is surging for AI/ML engineers, data scientists, prompt engineers, MLOps specialists, and product managers with AI experience.

For the past two years, the AI world has been obsessed with one thing: capability. Who can build the largest model? Who can achieve the lowest perplexity score? Who can generate the most convincing human-like text?

But as enterprises rush to deploy generative AI in production—powering customer support chatbots, internal knowledge bases, and code-generation tools—a new, more urgent question has emerged: How do we make sure this thing doesn’t go rogue?

The answer lies in a new category of software often called AI safety and security infrastructure. And one of the most prominent players in this space, Promptfoo, is now reportedly in acquisition talks.

For years, green hydrogen has been hailed as the “holy grail” of the energy transition. The concept is elegant: use renewable energy (solar/wind) to split water into hydrogen and oxygen, creating a zero-carbon fuel that can power heavy industry, fertilize crops, and propel long-haul transport.

But there has always been a catch: the cost.

Green hydrogen remains significantly more expensive to produce than its carbon-intensive cousin, grey hydrogen (made from natural gas). The primary bottleneck? The efficiency and durability of the electrolyser—the machine that actually performs the water-splitting magic.