HBG Insights
Global Market Research & Business Intelligence
HBG Insights launched on May 8, 2026.
What it does
HBG Insights is a global market research and business intelligence company helping organizations make smarter, data-driven decisions. We provide custom research, expert consultations, consumer insights, competitive intelligence, and strategic advisory services across industries including Healthcare, Technology, Automotive, Financial Services, and Consumer Goods. Our expert-led approach combines deep industry knowledge with actionable insights to support business growth and innovation.
HBG Insights provides leading global custom research and business intelligence services, delivering consumer insights, agile research, end-to-end reports, and strategic consulting for smarter business decisions.
Delivering actionable insights to empower confident business decisions. Bespoke strategies tailored to your unique business objectives. Leverage deep domain expertise across sectors for focused insights. Timely intelligence to support fast, informed decision-making. Worldwide reach paired with regional intelligence for strategic clarity. Harnessing technology and research to uncover new business opportunities. HBG TM Insights is a top-rated global market research and business intelligence firm headquartered in India, delivering deep, actionable insights across markets and industries. With over 16 years of experience, 5000+ successful projects, and operations across three continents, we help…from hbginsights.com
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Growth · 13d ago · wallhop.io


Source: Product Hunt launch ↗
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Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
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