Which coins are the voices calling?
Ranked by how many of them.

RT @JulianGoldieSEO: 99% of AI agent tutorials on YouTube are useless. I’ve built 50 real agents using n8n and Claude. Here are the 3 pro…

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查自己 IP 到底暴露了啥，别再开一堆网站来回切了。MyIP 这个开源工具箱一站全给你办了： 1️⃣ 公网、局域网 IP 一起抓，还能顺藤摸出上游网络拓扑 2️⃣ DNS 泄漏、WebRTC 到底漏没漏真实 IP，一测便知 3️⃣ 测速、各家服务状态、whois 全带上 用 VPN 代理的兄弟尤其该收藏，能自己部署，数据攥自己手里，踏实。在线版直接���： 🔗 https://ipcheck.ing 🔗 https://github.com/jason5ng32/MyIP

AI IMAGE GENERATION JUST CHANGED FOREVER. And the biggest upgrade isn't better art. It's something almost everyone has missed. Here's what changed: → Qwen Image 3.0 now accepts 4,500-token prompts instead of around 1,000. → That means you can describe entire layouts, headings, captions, labels, arrows and footnotes in one prompt. → Alibaba showed a 9-panel infographic generated in a single pass—not stitched together afterwards. Why this matters: ✓ Tiny text down to 10 pixels stays surprisingly readable. ✓ Nested interfaces work too: code editor → chat → messaging app → poster inside on

TikTok v45.1.0特别定制版，直接一步到位。 内置一堆插件，我给你划重点： 1️⃣ 无水印下载，存下来干干净净 2️⃣ 后台播放，锁屏也能继续听 3️⃣ 邮箱或谷歌登录，随你挑 4️⃣ 不卡地区，想刷就刷 不用折腾，装上就能用。 🔗：https://pan.quark.cn/s/d5d4e9e32ebb https://t.co/xDYe2Z7Ipg

HeyGen 又整活了，这波直接把家底掀了 想学 HeyGen 和 HyperFrames 别瞎摸索，官方把 16 条发布视频全开源扔 GitHub 上了，从 SpaceX、Figma 到 Kimi K3 promo，一个个案例摆那儿 用 Git LFS 存的素材，fork 下来能直接预览、渲染、改成自己的。想抄作业的赶紧的，这种官方喂饭的机会不多 🔗 https://github.com/heygen-com/hyperframes-launches

Buying community coins that have been grinding for more than a few weeks, which are visibly bottomed out, and have trustworthy teams that refuse to give up despite being told it’s dead will always be a money glitch.

Clarity LAST Chance, Bitcoin Bounce & AI Collapse https://x.com/i/broadcasts/1oJMvvZArgNxQ

Previously, Claude Voice relied on Haiku. Fast responses. Limited depth. Now you can speak directly to stronger models that can plan content, analyse ideas and give more detailed answers. https://t.co/NYw4AyoelO

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$AAVE is once again attempting to break the $100 level. This is attempt number 3. So what do you think: is 3 the lucky charm? https://x.com/AltCryptoGems/status/2079865786529697913?s=20 https://t.co/sk2jcfBzi1

🔧 𝗕𝘂𝗶𝗹𝗱 𝗔𝗻 𝗔𝗜 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗧𝗵𝗮𝘁 𝗥𝘂𝗻𝘀 𝗜𝘁𝘀𝗲𝗹𝗳 🔧 𝟮𝟯 𝗛𝗼𝘂𝗿𝘀 𝗟𝗲𝗳𝘁 + $𝟱𝟮,𝟳𝟬𝟬+ 𝗜𝗻 𝗔𝗜 𝗕𝗼𝗻𝘂𝘀𝗲𝘀 🚀 Spend less of your week buried in repetitive tasks and more of it on the things that actually move you forward. Inside the AI Profit Boardroom you learn how to hand that busywork to AI — the simple, beginner-friendly way. 👉 Join the AI Profit Boardroom here → https://www.skool.com/ai-profit-lab-7462/about ⏳ 23 hours left. If this is your first time seeing this 👇 The AI Profit Boardroom is a step-by-step community for automating your business wit

小红书搞AI虚拟电商这事，说白了就是让AI帮你开虚拟店、做内容再顺手把钱赚了。想上车的自己看教程，别到时候说没提醒你。 🔗 https://pan.quark.cn/s/d7a4a19bc377 https://t.co/e9G6vTQkzA

INSIGHT: Michael @saylor posts his weekly chart with the caption "We're gonna need another color", his fifth Sunday post since @Strategy last confirmed a $BTC purchase. https://t.co/sRB9o70QqO

Circle (@Circle) is now the leading U.S. blockchain patent holder following its acquisition of fundamental assets from the @IBM Blockchain patent portfolio. This includes over 680 patent families and nearly 1,000 patents issued worldwide. https://t.co/l0HIeXcVNI

RT @RFLIXSTUDIOS: GM. Dev’s already three coffees deep. Big day ahead. Stay tuned. https://t.co/qNklnBUEdS

RT @AltCryptoGems: It turns out crypto bros really love TCGs… Pokémon, One Piece, Dragon Ball, Sports Cards- you name it, they’re all on-c…

Adding $CATE on Robinhood to my bag BabyDoge just commented about this coin. I bought both SOL and Robinhood versions Watch your entry! CA: 0x8382342eb994dbc3ee845b8ad3d99c1313ae7b03 Chart: https://gmgn.ai/robinhood/token/Hanzx0Ol_0x8382342eb994dbc3ee845b8ad3d99c1313ae7b03 https://t.co/bP5TYwakYK

The only Robinhood cult is forming HOOD4663 0x499dC58539BA6869EE15b6c2a3c3c07F1AC4995F https://t.co/bjvcDSnLX2

RT @Defaultplayer13: Time for some updates we got from @Maciej_Burno today about next steps on $RMV @Realitymeta 1⃣Utility features comin…

RT @ElCryptoDoc: Behind every big runner is a dev team grinding in the background. We’ve made serious gains with $PONS and the gems launch…

RT @Wagboo_ng: $Sharpblock seems good tek 0xee998e7c042063692d653a7a19b6329701f07777

$Sharpblock seems good tek 0xee998e7c042063692d653a7a19b6329701f07777

A PUMP whale just bought $41.97K of $ETH at $94.42M MC 🐳

日本旅游攻略这波我给你们扒到了，别再瞎搜攻略看得头大了。想去玩的直接把资料存下来慢慢啃，路线吃住行都有，省得到地方两眼一抹黑。 🔗 https://pan.quark.cn/s/c74a91fc0c6c https://t.co/h8RemzLv09

Ollama 0.32.1: the boring update that fixes the moment where agents actually break. Every multi-step task has a danger point: the handoff. The AI calls a tool. Waits. Comes back. That's where it drifts. Forgets the instruction. Repeats a finished step. This patch targets exactly that: → Gemma 4 now holds the thread across multiple tool calls → The Mac memory leak is dead. No more RAM quietly vanishing over long sessions. → The agent auto-knows your working directory. No more guessing your project structure. → Sign-in failures now TELL you instead of failing silently No flashy headline

Antigravity: the AI started saying less. And its scores went UP. That's the paradox in Google's engine swap. Gemini 3.6 Flash now runs the agent by default. No switch to flip. Fewer words out. Better results: → 17% fewer output words. Verified by Artificial Analysis, not Google grading itself. → Deepswe coding: 65% fewer words AND the score climbed from 37% to 49% → Computer use: 78% up to 83% It didn't get lazy. It stopped taking the long way around. Who wins most? The non-coders. You describe the job in plain words. Less babysitting. Tasks just finish. One prompt built a live signu

Opus 5 vs Fable 5: the new model didn't beat the flagship. It changed the math instead. Anthropic isn't even claiming Opus 5 is smarter. Fable 5 still wins on raw capability. But look at the gap: → Cursor Bench: within HALF a percent of Fable 5. Basically a tie. → OSWorld computer use: Opus 5 actually WINS. Using a third of the compute. → It pushed back on a bad design change and offered a compromise. Real judgment. The new rule for which model to open: Opus 5 for daily work. Coding, writing, research, agents. Fable 5 only for multi-day jobs at the edge of what's possible. Try the ef

A PUMP whale just bought $17.61K of $ETH at $94.3M MC 🐳

Agent OS Q&A: the biggest mistake with agent systems? Trying to install everything. Real questions from 4,000 members this week. Real answers: "Should I learn every agent first?" No. Install ONLY what you need. See a workflow you love? Install that one. Skip the rest. "What's the biggest automation win?" Two things: → A personalized memory system. Agents out of the box are generic. Memory makes every answer yours. → An idea pipeline: capture → plan → approve → build. Four stages. Almost zero input. "How do I fix cold email?" Check your open rate first. 20%+ is good. Under 5%? Your dom

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Free Hermes Agents: a running cost makes you build worse agents. That's the hidden tax. When every step has a meter, you get careful. Shorter prompts. Fewer tools. You stop the agent early. And a careful agent is a worse agent. The magic loop is: try, fail, notice, retry. Meters kill that loop. Right now Tencent's HY3 is free on Nous Portal for another week: → Tuned for tool calling. The thing that breaks most agents mid-task. → Long context. It holds a 20,000-word transcript while it works. → Point Hermes at it. Done. Free changes how you build: Let it run long. Let it retry. Give i

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THE BEST CODING AI ISN'T THE BIGGEST ANYMORE. A 118B model is outperforming models over 10x larger... and almost nobody is paying attention. Here's why: Performance: → Laguna S 2.1 activates only 8B parameters per token despite having 118B total. → Runs with 1M token context on a single desktop machine. → Beats 550B, 975B and even a 1.6T parameter model on Terminal Bench 2.1. Real Agent Runs: ✓ Built an entire browser engine from an empty folder in 181 autonomous steps over 50 minutes. ✓ Optimised Poolside's own agent harness, improving speed by 5.2% while reducing memory allocation b

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Hermes + Laguna S 2.1: an agent that learns from success. Paired with a brain built for agents. Most AI forgets what you taught it by tomorrow. Hermes runs a different loop: Task → success → save the experience → generate a skill → reuse automatically. Next time, you don't prompt. It already knows. Now plug in the brain: → Laguna S 2.1 was designed FOR agents. Not a chat model that happens to code. → 118B parameters. Only 8B active. Elite scores, tiny compute. → Up to 1M context. It holds entire codebases without forgetting. The comparison that matters: ChatGPT, Claude Code, Cursor,

🌱 New Pair: KOL johnsoncooks101 just bought $1.52K of $CATE at $3.95M MC 🧠

$CXMT China’s memory champion has surged to an estimated RMB 3.3T (~$490B) market cap after its Shanghai listing, becoming the world’s 4th-largest DRAM manufacturer with an estimated 7.7% global market share in 2025. With AI fueling demand for DRAM, HBM, and data center infrastructure, the memory race is only getting started. 🔥 🟩 Now you can trade CXMT/USDT on Hotcoin. Who’s leading the next AI infrastructure cycle? 👀 $CXMT $AI $NVDA $MU $TSM $SMCI $HBM

Gemini's Two-Model Setup: Google stopped chasing the smartest AI. They built a manager and a workforce instead. One smart manager. Ten fast workers. That's literally the setup now: → 3.6 Flash: the thinker. Plans, codes, reads charts and documents. → 3.5 Flash-Lite: the mover. 350 tokens per second. Repeats jobs at speed. The coffee analogy that makes it click: Old model walks around the block twice to find the coffee shop. New model walks straight there. Same coffee. Less wasted walking. That's the 17% token cut. In some tests, 65%. The playbook for your business: Smart model plans

Laguna S 2.1: no Western lab shipped an open model this size for 11 months. Then this dropped. For a year, the strongest open weights came from China. DeepSeek. Qwen. Kimi. Poolside just answered from San Francisco: → Beat DeepSeek's 1.6 TRILLION parameter model on Terminal Bench → Holds 1 million tokens. An entire codebase in its head at once. → Touched Poolside's own production code: 5.2% faster, 70% less memory → Runs on a single desktop. Download it. Own it. And they're shipping a new model every 5 weeks. The co-founder said it plainly: "Intelligence is becoming a commodity." You

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KOL metaversejoji just bought $6.32K of $Bruno at $463.86K MC 🧠

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BREAKING: Michael Saylor's Strategy bought no Bitcoin for a fifth straight week, its longest buying pause since October 2024.

Antigravity + Gemini 3.6 Flash: Google's agent now finishes the same job in fewer steps. That's the real upgrade. Speed is what everyone notices. Waste is what actually changed. Picture two workers doing one job. One checks the manual 5 times per move. The other checks twice. Same result. Way less wasted motion. Google's own numbers: → Up to 17% less waste per task → Some coding jobs used 65% fewer output tokens → Real-world task scores nearly DOUBLED → Same 1M memory window. Nothing to relearn. It's already the default engine inside Antigravity. Not a quiet test. Fewer tool calls.

Gemini 3.5 Flash-Lite: Google's smallest model just beat its bigger sibling. On the tests that matter. Everyone defaults to the biggest model. That's the mistake. The tiny one against the bigger 3 Flash: → SWE-Bench Pro: 54.2% vs 49.6% → OSWorld computer use: 74% vs 65.1% → It types 350 tokens per second And it has a dial most people never touch: Thinking levels. Turn it down for bulk work. Up for multi-step jobs. Same model. Two different tools. The rule that saves you money: Start with the small model. Always. If the output is good, you're done. And faster than everyone else. Onl

$CATE just broke ATH. The official $BABYDOGE X account just followed and replied to the $CATE x account We literally have the $DOGE cabal now pushing the cat version of Dogecoin 0x8382342eb994dbc3ee845b8ad3d99c1313ae7b03 https://t.co/QfLTu8oxRM

2X yaptı 🔥🔥🔥🔥🔥

Kimi K3 + Hermes: a chat window is the weakest version of a frontier model. Give it hands instead. Most people connect a top model and just... type questions at it. A chat window can't touch your files, your browser, or your site. Inside an agent OS, the same model: → Controls Blender. Builds 3D scenes and renders promo clips from a description. → /learn: reads a URL once. Saves it as a permanent skill. → Publishes SEO posts to WordPress while trends are still rising → Goal mode: "build 50 blog posts" runs for DAYS unattended And the coding shock: K3 beat GPT 5.6 and Fable 5 on most he

The failure case is not not succeeding. It’s building a company I don’t want to work at — Tobi Lütke

Everyone is looking for the next ecosystem before it gets crowded. Right now, two names are starting to stand out: Stable and Robinhood Chain. → @stable is focused on making stablecoins the foundation of onchain finance. Instead of being used only for trading, stablecoins power payments, lending, and tokenized real-world assets (RWAs). → @RobinhoodApp is taking a different approach by bringing tokenized stocks and other real-world assets onchain. But interestingly, the biggest trend on the chain right now isn't stocks; it's meme coins. Some of the meme coins getting the most attention i

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Qwen 3.8 Max: Alibaba said it's "second only to Fable 5." So I ran 14 head-to-head builds. The claim came with no receipts. No benchmark table. No model card. Their own internal ranking. So I tested it against Fable 5 and GPT 5.6 in the same dashboard: → Racing game: Qwen won clearly. Sharp 3D, actually fun. → Cloth physics: Fable 5 crushed it → Flight sim: Qwen's plane flew BACKWARDS. GPT 5.6 took it. → Promo video: Fable 5, easily The verdict: great at gameplay. Weak on polish. Not second to anyone yet. The twist: Kimi K3 quietly beat all three on the front-end leaderboard developer

Manus Plan Mode: the AI now refuses to build until you say go. That's the upgrade. The old loop everyone knows: You type a prompt. It builds the wrong thing. You explain. It rebuilds. Repeat 5 times. Afternoon gone. Plan mode flips the order: → It researches your idea FIRST. Checks if it actually works. → It finds the edge cases you forgot. Phone screens. Logged-out users. → It asks questions instead of guessing → It hands you a plan in plain text. You edit it. Then you hit confirm. → Going off track mid-project? Pause and switch to plan mode. The real math: A wrong plan costs 30 se

called $PONS at 8m and $STONKBROKER sub 3m but i have to say i also took profits too early on both and roundtripped a disgusting amount of money on cashcat 😹 that's part of the game though. pretending you always nail the trade and sell the top is lame what matters is to keep finding the right opportunities. quality projects are emerging especially on robinhood, which i actually think will be the new solana for the upcoming cycle with multiple coins in 8-9 figs that's why i'm still chilling on cashcat, and will probably buy more if it keeps dipping. i see the vision still up 6 figs on th

A WIF whale just bought $20K of $WIF at $155.29M MC 🐳

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Strategy Fortifies Balance Sheet With $525M USD Reserve Increase @Strategy increases its liquid cash position by $525M, bringing its total USD reserve to $3.75B to ensure long-term structural stability. The firm now maintains 2.1 years of dividend coverage while holding a sovereign-scale treasury of 843,775 $BTC. This liquidity injection follows a series of capital market maneuvers designed to weaponize the firm’s balance sheet during the 2026 fiscal cycle.

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