Pulse Candy, launched at ₹1 in 2015 by DS Group, revolutionized India’s confectionery market with its tangy Kachcha Aam flavour. Capturing 19% of the ₹4,000 crore hard-candy segment, it achieved ₹750 crore in FY25, growing at 15% annually. Its unique taste, adult appeal, and wide reach have cemented its leadership and aspirations for global expansion.

Users don’t need another pretty graph. They need products that simplify their workflow and amplify their outcomes. The best AI products don’t overwhelm—they filter out noise, highlight what matters, and sometimes take action on behalf of the user. If your AI demands more effort than it saves, it’s not helping—it’s hurting.

Traditional analytics pipelines run on data loops: input, output, done. But cutting-edge AI relies on feedback loops—systems that constantly learn, improve, and refine themselves based on new data and real-world outcomes. Embedding feedback into your product architecture is how you turn a one-time insight engine into a continuously evolving intelligence layer.

It’s not enough for AI to explain what happened—it needs to guide users on what to do next. Analytical tools are reactive, while actionable AI is proactive. The real breakthrough occurs when your AI becomes a trusted advisor, not just a data source. If your product doesn’t close the gap between insight and execution, it’s not solving the user’s problems.

With over 101 million diabetics and 136 million pre-diabetics in India, and per-capita sugar consumption nearing 20 kg/year, Arboreal crafts guilt-free sweetness. Their patented stevia-based blend, 50–300× sweeter than sugar yet zero-calorie, mimics sugar’s taste and texture. Amid rising urban diabetes and a $950 million global stevia market, Arboreal drives India toward a post-sugar future.

The smartest AI startups use data not just to optimise, but to lead. Metrics like user activation, churn patterns, and LTV should shape your roadmap and GTM plans. Gut instinct is a good start—but only data can scale strategy. If you’re not measuring what matters, you’re flying blind.

You've got an amazing AI product—but are you selling it right? Many startups over-engineer features while under-thinking revenue models. Whether it’s pricing tiers, value-based plans, or bundling, monetisation should evolve with product maturity. Innovation in pricing can deliver faster wins than another model tweak.

Hitting a plateau doesn’t always mean pivoting the product—it could mean resetting the entire business model. Many AI startups keep iterating on features without addressing misalignment in customer segments, pricing, or delivery. A strategic reset—led by data, not desperation—often unlocks the next wave of growth.

NISM-certified research analyst Vipin Gupta shared a video showing a cab driver claiming he lost ₹2.5 lakh to options trading in 2024. "He makes ₹25,000 from driving but lost ₹2.5 lakh...Funny thing is he's not quitting...His quote: I need...₹10-lakh capital, then I'll make profits," Gupta said. "Like lottery and casino, everyone is addicted to options trading these days," he added.

Alappuzha residents Tommy AV and Shiny Tommy have been missing since July 3 after allegedly orchestrating a ₹100-crore chit fund scam in Bengaluru. The duo, who'd operated chit funds for two decades, reportedly fled with over 1,000 people's money. They went missing after selling their residential flat without informing the company's employees. So far, 265 complaints have been lodged.