102,000 tweets since tip-off. 29,700 specifically about the comeback. 16,900 about OG Anunoby alone. Last night's Game 4 wasn't just the greatest comeback in @NBA Finals history - it was one of the biggest real-time social intelligence moments of the year. We ran the numbers on XPOZ: 📊 The Knicks' 29-point comeback generated nearly 30K tweets as a standalone topic - that's 29% of all Game 4 conversation focused on a single moment. 🎤 @NBA's post hit 8.8M impressions. @SportsCenter pulled 6M. But the surprise? @PopBase - a pop culture account - drove 1.7M impressions on Taylor Swift's MSG reaction, pulling in audiences who don't follow the NBA at all. ⚡ The Spurs had 76 points at halftime. The crowd at MSG had gone quiet. By the final buzzer, OG Anunoby had tipped in a win with 1.2 seconds left - and the internet exploded. This is what XPOZ is built for: pulling signal from noise, in real time, across 3B indexed posts.

Social listening dashboards/applictions used to cost thousands of dollars a year. Now anyone can build one from their laptop, in minutes, using Claude XPOZ. We just released three free skills for Claude that give you everything those expensive tools offered: → /brand-snapshot - sentiment analysis, key narratives, top influencers, and a SWOT. All from real social data. → /brand-competition - share of voice and sentiment vs any competitor, across every major platform. → /brand-influencers - find who's actually talking about your brand and how much weight they carry. Just connect XPOZ to Claude and start asking. 👉 xpoz.ai/apps

Something interesting is happening in crypto right now: AI agents are becoming real participants in DeFi. We’re already seeing: •⁠ ⁠The DeFAI/AI-agent crypto ecosystem reportedly grew from $4.8B to $15.5B in a matter of months. •⁠ ⁠AI-powered DeFi agents integrating with protocols like Aave and Yearn •⁠ ⁠The rise of “intent-based DeFi” - where users tell agents what outcome they want, and the agent researches executes on-chain This is where social data becomes critical. In crypto: •⁠ ⁠narratives move markets •⁠ ⁠sentiment drives liquidity •⁠ ⁠communities react faster than the news The agents that understand social signals fastest will have a massive advantage. XPOZ enables AI agents to access live social signals across Reddit, X, Instagram, and TikTok at scale.

How to master your GTM with @XPOZAI AI agents are more efficient with the best #data they can access. Most agents are flying blind - no real-time context, no social signals, no idea what your market is actually saying right now. We built @XPOZAI to fix that. @XPOZAI provides LLM-optimized, indexed social data structured for AI agents, not for dashboards. Pair it with any AI agent, and you can: → Map your competitors' weaknesses from live conversations → Find leads the moment they describe your problem and reach them with a personalized reply → Analyze brand sentiment before it becomes a crisis → Brief your sales team before every call → Write your weekly market report automatically The data layer was always the missing piece. Now it exists.

We were asked to map the Medicaid cuts debate. So we did. Used XPOZ data to track social sentiment around one of the most charged policy fights in the US right now. 57% of posts oppose the cuts. But weight by engagement, and 88% of the reach belongs to the opposition. Volume and impact are not the same thing. The two sides aren't even fighting on the same terrain. Pro-cut voices argue immigration. Anti-cut voices argue hospitals closing, elderly patients, mothers losing coverage. One side is loud. The other is amplified. We built this by connecting Claude to XPOZ MCP. It pulled live posts, classified sentiment, extracted narrative clusters, and rendered the dashboard in one session. If there's a conversation happening in your industry that you want us to map, DM us.

We used XPOZ to build a cross-platform intelligence report on @KMbappe - Twitter, TikTok, and Instagram in one session, in minutes. 5,752 posts in the last 48 hours. 77% negative. But match day tells the real story: 87% negative, a 6.5:1 ratio against him. One Instagram post - "Hala Madrid" while losing 0–2 - was the inflection point that moved the entire conversation. Volume and impact are not the same thing. What makes this different is the combination of sources: Twitter discourse, TikTok virality, Instagram signals - all flowing into one analysis, with sentiment breakdown, narrative clusters, and key voices mapped automatically. We built this by connecting Claude to XPOZ MCP. It pulled live posts across platforms, classified sentiment, identified the trigger moment, and rendered the full report in one session - no manual work. If there's a player, brand, or conversation in your industry you want us to map, DM us.

Used XPOZ data to track social sentiment around rising US oil prices, everyone's affected by this. 60% of posts are critical. But weight by engagement, and 86% of the reach belongs to the opposition. Volume and impact are not the same thing. What makes this different is the combination of sources: social media data, real-time prices, and news - all flowing into one analysis. That's what turns raw posts into actual intelligence. We built this by connecting Claude to XPOZ MCP. It pulled live posts, classified sentiment, extracted narrative clusters, and rendered the dashboard in one session, with no manual work. If there's a conversation happening in your industry that you want us to map, DM us.

You can understand your market in minutes. We analyzed 1,280 Reddit posts about AI agents. Here’s what people say vs. what actually gets attention. By volume: 37% Building & tools 24% General 12% Claude Code / Vibe 7% Business By engagement: 🥇 Career & jobs - 143 avg 🥈 Claude Code / Vibe - 86 🥉 General - 45 More content. Less signal. Volume ≠ signal. This entire analysis took: 1 session. 5 queries You don’t need dashboards. You need answers. Fast. With XPOZ, you can: - Find people looking for your product - Understand what they care about - Extract real signals from millions of posts In minutes. If you know what to ask, you instantly understand your market.

TikTok is now live on XPOZ. Agents can now access real-time insight from TikTok! But this isn’t about adding another platform. It’s about giving agents access to where attention actually lives. If your agent isn’t looking at TikTok - it’s missing a big part of the picture.

We’re starting to see hedge funds run on AI agents. No ops teams. No analysts tracking trends. Just agents making decisions. But there’s a catch: Agents are only as good as the data they see. And right now, the most important signals don’t come from Bloomberg, they come from social. Agents need to: - track brand sentiment - monitor influencers - catch trends before they hit the market - detect narrative shifts in real time That’s the bottleneck. Most teams are still stitching together fragile scrapers just to get access. Meanwhile, every serious agentic workflow - in finance, sales, research, and marketing - is becoming increasingly dependent on live social data. That’s what XPOZ solves. We give AI agents direct, reliable access to live insights across Twitter, Instagram, TikTok, and Reddit via MCP/SDK. The agents are already here. The real question is: Are they flying blind?

We analyzed 43,000 posts about @deniavdija_szn across Twitter, Instagram, and Reddit. Here's what we found in under 60 seconds: - 43,865 tweets mentioning him - 965K Instagram likes across 273 verified posts - 12.8M video views - 4× buzz spike in a single month (NBA All-Star announcement) - 72% positive sentiment But the most actionable insight wasn't in the volume. It was in the content breakdown: His most liked Instagram post wasn't a dunk or a stat line. It was a human moment - calling a translator so his Chinese-American teammate wouldn't feel left out during a timeout. Athletic highlights peaked at 50K likes. That human moment? 180,000. 3.5× more engagement. From a 10-second clip. Of a bench interaction. Character beats performance. Every time. And real data - not a gut feeling - proved it.

The "User" is no longer human. linkedin.com/feed/update/urn… #A2A #Agent @XPOZAI

Paperclip just hit 32k GitHub stars. The idea: orchestrate entire companies made of AI agents - org charts, budgets, goals, governance. Not a chatbot. Not a workflow builder. A company OS. Now think about what's missing? An AI company that can't perceive the world is flying blind. It can write code, manage tasks, delegate work - but it has no idea what's happening on social media. What people are saying about your brand. What trends are emerging. What your competitors are doing. That's the gap XPOZ fills. XPOZ is the social data layer for AI agents. Paperclip runs your company. XPOZ gives it eyes. A marketing agent that monitors brand sentiment in real time. A competitive intelligence agent that tracks competitor narratives as they evolve. A growth agent that spots emerging trends before they peak. This is what autonomous AI companies actually need - not just internal task management, but external situational awareness. Orchestration social intelligence = agents that understand context, not just execute. @GithubProjects

Your AI agent can now find people actively looking for your service. Real queries, run right now: → "Find Reddit posts from founders complaining about their CRM" → "Find people asking for a social media agency recommendation" → "Find SaaS founders struggling with churn" → "Find people looking for a tax accountant" Real intent. Real people. In their own words.

The market says 12%. Social says 30%. Who's right? "Will Gold (GC) hit $5,400 by end of March?" - $600K volume on @Polymarket . We ran one prompt and got the full picture - odds, sentiment, voices, and catalysts from 629 posts across Twitter and Reddit. The gap: • Market odds: 12% YES • Social sentiment: 30% YES • 18-point divergence - Social is more bullish than the market Top voices: • YES: @rupees - "Precious metals are rallying aggressively. Gold breaking records, silver surging..." • NO: @indiafounder - "Russia's latest strategic move could put downward pressure on gold prices as the..." Prediction market odds alone don't tell the full story. Social sentiment fills the gap. How do you factor social signals into prediction market trades? #PredictionMarkets #Polymarket #AI #MCP #SocialIntelligence

The market says 86%. Social says 77%. Who's right? "Largest IPO by market cap in 2026?" - $204K volume on Polymarket. We ran one prompt and got the full picture - odds, sentiment, voices, and catalysts from 940 posts across Twitter and Reddit. The gap: • Market odds: 86% YES • Social sentiment: 77% YES • 9-point divergence - Social is more bearish than the market Top voices: • YES: @barontrades - "This might be a generational play #investing #daytrading #stocks #elon #spacex #..." • NO: @advicefromceo.s - "2026 is gearing up to be an epic year for tech IPOs...." Latest catalyst: 2026 is gearing up to be an epic year for tech IPOs. Prediction market odds alone don't tell the full story. Social sentiment fills the gap. XPOZ - free to start: xpoz.ai How do you factor social signals into prediction market trades? #PredictionMarkets #Polymarket #AI #MCP #SocialIntelligence