HashMatrix @hashmatrixmax

KOLs aren't salespeople. They're translators. One mistake many AI startups make is expecting creators to drive immediate conversions. But most users don't adopt a product the first time they see it. They first need to understand: • What is this? • Why does it matter? • Is it relevant to me? That's where great creators create value. They don't explain every feature. They help audiences understand why a product deserves attention. This is also why many campaigns look disappointing in attribution dashboards. No immediate signups. No obvious conversions. Yet over time: • People start mentioning your product on X • Discussions appear on Reddit • Prospects recognize your brand before demos • Third-party references show up in search results Those aren't conversions. They're trust signals. And trust is usually built long before conversion happens. The best KOL campaigns don't just generate clicks. They help your product get understood.

Why AI Marketing Still Starts on X For AI startups entering North America, X is still one of the most important platforms for building awareness. Not because it has the most users. But because it is where conversations start. In the AI ecosystem, new ideas, research papers, product launches, demos, and market opinions often appear on X long before they reach mainstream media. The typical path looks something like this: An idea gets shared → Industry insiders discuss it → More people join the conversation → Media picks it up → Wider adoption follows. X is often where that process begins. This is why being seen on X is not just about getting impressions. It's about establishing a position in the market. We've seen this repeatedly across AI launches. When 8–10 respected voices in AI and technology start discussing the same topic, even a relatively small product update can quickly become something the industry is paying attention to. The discussion expands naturally. Developers share demos. Researchers add their perspectives. Creators write reviews. Investors start noticing. The goal isn't simply traffic. The goal is to make people believe your product is worth talking about. That's why we view creators on X differently. Their value isn't just distribution. Their value is helping the market understand who you are. For AI startups, that often makes all the difference during the earliest stage of growth.

Most companies talk about going global. Few understand what it actually takes. Launching in North America isn't just about translating content, buying ads, or finding influencers. It requires local insight, local relationships, and local execution. That's why HashMatrix exists. We help technology companies bridge the gap between great products and global markets. Over the past few years, we've worked alongside AI startups, SaaS companies, developer tools, consumer apps, and venture-backed teams building for the world. From product launches and creator marketing to SEO, PR, community growth, and GTM strategy, our focus has always been the same: Helping great technology reach the right audience. This account will share: → Global growth insights → AI & startup case studies → Marketing lessons from the field → Product launch breakdowns → What actually works in North America Welcome to HashMatrix. Let's build globally💪

China Tech trip, fully funded. 🇨🇳✈️ Who wants to see the REAL China this September? My exclusive client is SPONSORING a select group of talented Tech influencers for an all-expenses-paid trip. Yes, flights and hotels—all on us.

Why is China the only major economy that skipped the Email？ In our debut episode, @JFinnyc and I dismantle the myth of "efficiency" and talk about how WeChat changed the DNA of Chinese business. Podcast🔍: Asian Bestie Daddy podcasts.apple.com/us/podcast/asi…

The endgame of the HI + AI era: let humans do more truly human things. AI should amplify human capability, not replace human judgment. The future may belong to a new partnership between HI and AI, where technology serves humanity and people remain at the center of decision-making. #ChinaAMC #AI #Investing #Innovation #TechTrends #DeepTalk

Introducing Phoenix-4, the most advanced real-time human rendering model ever built. Its the first real-time model to render every pixel at runtime, generate and control emotional states, listen actively, and actually behave the way humans do in conversation.

OpenClaw + Contra = Agents buying creative services 24/7 🔥 For the first time AI agents can buy from freelancers autonomously. This is an amazing development for everyone. So I put together a doc with the top 20 services agents are buying right now. Inside, it’ll show you: → Services → Price points → Package options → Profile positioning Want to get the list? Just RT + comment "AI" and I’ll send it over :) You can also check out my partner Contra here → contra.com

MiniCPM-o 4.5: Seeing, Listening, and Speaking — All at Once. 👁️👂🗣️ ✨Beyond traditional turn-taking, we’ve built a Native Full-Duplex engine that allows a 9B model to see, listen, and speak in one concurrent, non-blocking stream. Watch how it masters real-world complexity in real-time: 🔔 Proactive Auditory Interaction: Interrupts itself to alert you when it hears a "Ding!" while reading cards. 🎨 Temporal Flow Tracking: Follows your pen in real-time, narrating and "mind-reading" your drawing as you sketch. 🍎 Omni-Perception: Scans groceries & identifies prices on the fly. ✨Why it’s a category-leader: 📌Performance: Surpasses GPT-4o and Gemini 2.0 Pro on OpenCompass (Avg. 77.6). 📌Architecture: End-to-end fusion of SigLip2, Whisper, and CosyVoice2 on a Qwen3-8B base. 📌Efficiency: Full-duplex live streaming now runs locally on PCs via llama.cpp-omni. The era of "Wait-and-Response" AI is over. Proactive, real-time intelligence is now open-source. 🚀Experience it on Hugging Face: 🔗huggingface.co/openbmb/MiniCP… #MiniCPM #Omnimodal #FullDuplex #EdgeAI #OpenSource #ComputerVision

我刚体验了一个新发布的开源 AI 模型，非常爽，它能在我插话的时瞬间暂停当前回复并重新理解我的输入。 完全不是那种“先说完再听”，是真正意义上的随时被打断 + 即时反应交互体验。 它就是 MiniCPM-o 4.5，下面听我再细说一下这个革命性 AI 的几个特性。

🤔Think a 9B model has reached its limits? The radar evaluation suggests otherwise. 📈 MiniCPM-o 4.5 sets a new standard for efficient #MLLMs. As shown by the purple line, our 9B model achieves a "full-circle" performance that exceeds larger and specialized models alike. ⭐️ Breaking down the Radar Chart: ✅ Omni-Modal Live Streaming (Top): Dominates in real-time tasks like Daily-Omni and Video-Holmes, enabling fluid, proactive interaction. ✅ Speech Conversation (Right): Shows a massive leap over baseline models, outperforming specialized tools in VoiceBench and bilingual CER/WER metrics. ✅ Visual Understanding (Left/Bottom): Maintains elite-level vision with a 77.6 OpenCompass avg, matching Gemini 2.5 Flash on benchmarks like MathVista and AI2D. ✅ Balanced Efficiency: Proving that a well-architected 9B model can provide a more "complete" hexagonal profile than 30B+ or proprietary counterparts. It’s not just about size—it’s about the synergy of vision, speech, and reasoning in one package. Experience the power of 9B on #HuggingFace and help us grow with a ⭐ if you find it useful! 👇 Try it now: huggingface.co/openbmb/MiniCP… #MiniCPMo45 #OpenSourceAI #MLLM #EdgeAI

The era of effortless expression has arrived—Dokie officially launches and is waiting for your first idea. Human for will, AI for skill Try Dokie at dokie.ai

🥳 Introducing MiniCPM-o 4.5 The first full-duplex omni-modal LLM in open-source community 🎬🎙️ 🔥 Key Highlights: • Full-duplex Omni-modal Live Streaming: The model can see, listen, and speak simultaneously in a real-time conversation without mutual blocking • Proactive Interaction: Moving beyond reactive QA to performing proactive interaction, such as initiating reminders • Leading Performance: Scoring 77.6 on OpenCompass, it outperforms GPT-4o & Gemini 2.0 Pro in vision-language tasks with 9B params The best part? You can experience all above on your PC! #MiniCPM #OpenSource #MultimodalAI #LLM

[BEST OF CES 2026] CES 2026 is one of the biggest tech events of the year. It is filled with announcements and product showcases from many renowned brands and startups around the world. Now that they’ve wrapped it up, I have compiled the absolute craziest, coolest, or just plain interesting products revealed at the show into one thread. Don’t forget to grab your snacks, and enjoy the thread!

keyboard_arrow_left Previous keyboard_arrow_right Next

GIVEAWAY LIVE 🌟 Meet Link 2 & 2C Pro... ✅ 1/1.3” large sensor for DSLR-like image quality ✅ Dual microphones with four audio pickup modes ✅ AI Tracking (Link 2 Pro) / Auto Framing (Link 2C Pro) ✅ Elgato Stream Deck integration for instant control ✅ The ultimate webcam for meetings, streaming, and more WIN a Link 2 Pro for your setup! 1️⃣ Follow @insta360 and @insta360vc 2️⃣ Like this post and tag 2 friends. Easy! Winners will be drawn on January 27. Good luck!

Introducing Workus AI : the Agent-Driven B2B Business Growth Network that delivers qualified leads Autopolit. workus.ai

@_sophiawells 😆

You control when to record. You decide what to highlight. AI supports human judgment—it never replaces it. #smartring #vocci

We just flipped the scaling narrative: Agentic Density > Parameter Count. #MiroThinker 1.5 operationalizes Interactive Scaling—agents that seek evidence, iterate, and revise in real time (with a time-sensitive sandbox to avoid hindsight leakage). Result: 30B hitting frontier-class agentic search, ~$0.07/query (≈20× cheaper vs 1T-class baselines). Fully open source, read more: research.miromind.ai/blog/introduci… Try: dr.miromind.ai GH:github.com/MiroMindAI/Mir… HF: huggingface.co/miromind-ai

Today we're announcing CATArena – A game-based benchmark for Code Agents, introduced in our latest paper. Current benchmarks mainly assess end-to-end performance in static scenarios, which suffer from score saturation, and increasingly depend on expert annotation as agent capabilities improve. CATArena asks models (GPT, Gemini, Claude, etc.) to write their own executable code in games like Holdem, Gomoku, Bridge, and Chess, compete with each others, and then they learn from each others' code. We then run multi-round tournaments and turn them into benchmarks to evaluate how well models understand tasks, code, and learn autonomously in open-ended environments. catarena.ai/replays

keyboard_arrow_left Previous keyboard_arrow_right Next