According to market research firm Euromonitor International, Chinese manufacturers Haier, Gree and Midea are projected to account for a combined 32 percent of the European retail air-conditioner market by sales volume.

why I feel like 😂 while reading a market research paper on SpaceX IPO: With only 555.6m shares on offer against 13.1bn total shares outstanding, this looks awfully like a low-float, high-FDV crypto listing ( representing roughly a 4% float ).

Honored to be named "Economist of the Year 2025" by @asianpvtbanker for the 3rd time! 🏆 Market research is a journey of "walking on thin ice"—it requires relentless exploration and a deep respect for market feedback. This recognition is a footnote to the past and a starting point for the future. In a complex world, I’ll continue to seek out the signal in the noise and navigate these changing times with all of you. Thank you! 🥂

One of the best finance x AI workflows I've ever built. It helped Claude print +$19,537 completely autonomously. This is my personal market Research Desk - and it took me weeks to build. Think of this as a fully local backtesting trading engine. You pick a market, a timeframe, and a strategy, and it runs that strategy against real historical price data to show you exactly how it would've performed. • It pulls real historical candles (crypto data straight from Binance, no API key needed, or your own CSV/stock data) • You pick from 400+ built-in strategies like moving-average crossover or RSI mean reversion, or bring your own logic • It shows a full interactive equity curve • Every single trade gets logged: entry, exit, P/L • It gives you the real performance metrics If you're not using AI in your trading, you're falling behind fast, and I think everyone should be building personal internal tools like this to elevate their portfolio.

Grok expansion this month is unbelievable Most people still do not realize what is happening Grok is being plugged directly into the tools people already use every day: • Interactive Brokers — portfolio analysis, market research, strategy + order instructions • AWS Bedrock — enterprise access to Grok 4.3 • Databricks — AI agents + data workflows • Microsoft Word, Excel & PowerPoint — office productivity • Vapi — voice agents • eToro — real-time market sentiment inside Tori • Gopuff — AI shopping assistant • Warp — coding + terminal workflows • T3code — AI coding-agent workflows • Vercel — deployments, build status + domains • MongoDB — database management + queries • Sentry — debugging + error analysis • Cloudflare — Workers + infrastructure tools • Chrome DevTools — browser control + performance testing • Firecrawl — web search, scraping + page interaction • Superpowers — agent workflow plugins And that is not even the full list Grok Build also added /goal for long-running autonomous tasks, Agent Dashboard for managing multiple coding sessions along with Grok Build 0.1 & Grok Composer 2.5 Grok Imagine Video 1.5 is now faster, better, and live across API, web, iOS, and Android Grok Connectors already plug into Google Workspace, Outlook, SharePoint, OneDrive, Notion, GitHub, Linear, and custom MCP servers Finance. Cloud. Coding. Voice. Shopping. Data. Office work. Browsers. Developer tools. Agents Grok is moving from “AI you chat with” to “AI that works inside everything” xAI’s execution speed right now is insane

The best sales teams don't rely on guesswork. They turn research into revenue. Max Zheng of OSL Group explores how startups can use market research, AI automation, and targeted distribution strategies to build stronger pipelines and improve conversion rates in this week's Cointelegraph Accelerator Workshop.

🤝 Alphio AI × We’re excited to partner with @Magne_Ai, a Web3-native AI smartphone built for secure digital ownership, private on-device intelligence, and decentralized participation. Together, we’ll explore bringing Alphio’s AI-powered market research, monitoring, and trading workflows closer to the mobile experience—combining intelligent trading with secure hardware and local AI compute. Secure ownership. Private intelligence. Smarter trading. The future of agentic finance is going mobile. 📱⚡️

These days, finding good crypto channels is a big challenge. Many KOLs have capitulated – and I’m really thankful you’re still here. You’re OGs. I love you. Today, I’ve curated a list of 10 great, active Telegram channels covering different topics – from market research to degening and using crypto cards. I’m sure you’ll enjoy this compilation and find your new favorite channels there. Join here →

🦈 Before that press release goes live, why not test it against "hundreds of public voices" first? A slightly futuristic engine now simulates an entire crowd's reaction for $1 in 10 minutes. Title: aaronjmars/MiroShark URL: 📦 Overview MiroShark is a "Universal Swarm Intelligence Engine." For any scenario—a press release, a news headline, a policy draft, or a question—it simulates in real time how hundreds of AI agents would react. The agents post, argue, trade, and shift their positions as simulated time passes. ❓ Challenges Solved Organizations want to test how the real public will receive an idea before committing resources. MiroShark removes the need for lengthy focus groups and expensive market research, enabling validation for under $1 in less than 10 minutes. 💡 How It Works It runs in five phases. ・Generate an ontology from the input documents ・Build a Neo4j knowledge graph of entity relationships ・Ground 100+ personas using demographics, web enrichment, and graph attributes ・Have agents interact hourly across Twitter, Reddit, and prediction markets ・Generate reports that cite the actual simulated posts and trades Posts are ingested via NER, embeddings, and entity resolution, then retrieved by fusing vector, BM25, and graph traversal. 🎯 Use Cases ・PR crisis testing and market-reaction forecasting ・Ad campaign pre-testing and policy impact analysis ・Personal decision scenarios and historical counterfactuals You can also inject breaking news mid-run, or fork a running simulation (counterfactual branching). 📊 Highlights ・1.3k GitHub stars and 265 forks, AGPL-3.0 licensed ・Each simulation runs at roughly $1, about 10 minutes, with 100+ agents ・Python backend, Vue.js frontend, Neo4j database; LLMs via OpenRouter (local Ollama also supported) #AIAgents# #Simulation#

Kye-hyun Kyung, Samsung Electronics Senior Advisor: "Memory prices to fall in H2 next year… Korea must cultivate deep-tech manufacturing" Kye-hyun Kyung, Senior Advisor and former head of Samsung Electronics' Device Solutions (DS) Division, forecast that memory semiconductor prices will decline starting in the second half of next year, and urged Korean industry to prepare in advance. Delivering the keynote at the 285th NAEK Forum, hosted by the National Academy of Engineering of Korea (NAEK) at L-Tower in Seocho-gu, Seoul on the 18th, Advisor Kyung said, "Chinese players are aggressively expanding production capacity (CAPA)," adding that "as memory supply surges, the market could shift starting in the second half of next year or the first half of 2028." Citing global market research firms, Kyung projected that memory prices will fall from H2 next year, when global memory CAPA is expected to surge to 6 million wafers per month. "If Big Tech's return on capex deteriorates, there is a possibility that investment could be scaled back," he said, also warning that memory demand itself could contract from 2028 onwards. While Korean industry, led by Samsung Electronics and SK Hynix, is currently enjoying unprecedented growth by capturing Big Tech's memory demand, the former head of Samsung's semiconductor business argued that Korea must prepare in advance for the post-boom period. Advisor Kyung pointed out, "Korea holds nearly 70% share of the DRAM market, but only 1.5% of the fabless market, and unlike Taiwan, Korea lacks a full-stack semiconductor ecosystem that includes fabless." He went on to advise that "Korea must leap forward as a deep-tech-based manufacturing nation." The point is that Korea should independently build advanced technology capabilities—not only in memory but also in fabless-based system semiconductors and sovereign AI—and actively apply them to its existing strength in manufacturing. He added, "It is difficult for Korea to compete simultaneously with the U.S. and China in both hardware and software," and that "it is important for Korea to do what it does well, and to that end, we must seriously consider how to deploy AI."