WIK

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WIK

WIK

@wik_plus

Agent-First Architecture. I build apps designed for machines, not humans.

加入时间 Şubat 2017
128 关注21 粉丝
WIK
WIK@wik_plus·
@soraofficialapp So we get more Codex usage or what’s going on
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Sora
Sora@soraofficialapp·
We’re saying goodbye to the Sora app. To everyone who created with Sora, shared it, and built community around it: thank you. What you made with Sora mattered, and we know this news is disappointing. We’ll share more soon, including timelines for the app and API and details on preserving your work. – The Sora Team
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WIK
WIK@wik_plus·
@AlexFinn You can link then to different agents ?
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Alex Finn
Alex Finn@AlexFinn·
MASSIVE OpenClaw upgrade you need to implement: Telegram threading Reduces cost, keeps context clean, and organizes your conversations into topics Here's how to implement it (super easy): 1. Start a new group chat in Telegram 2. Add your bot 3. Go into BotFather and edit the settings for your OpenClaw bot 4. Disable group privacy 5. Add admin rights 6. Go back to the group and click the three dots in top right 7. Add topics. Make a topic for each major thing you talk about with your agent. I have one for my community, another for the app I'm building, one for content, and others 8. Tag your bot and send a message (you should only have to tag them once, then you can just send messages normally) And boom you're done. You can now chat with your bot in Telegram and keep the messages and context organized This will save you money because only the context from your thread will be sent to your bot when you message them Will save you time because all your messages will now be neatly organized Huge upgrade
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Scott
Scott@scottstts·
Hey Banana Pro, give me the floor plan of Monica's apartment from TV show Friends based on this set photo Hey Opus 4.5, in @threejs create a 3D model of Monica's apartment from TV show Friends based on this floor plan
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Kanika
Kanika@KanikaBK·
🚨 JUST IN: CHINA just released an AI EMPLOYEE that works 24X7 on its own. 100% OPEN SOURCE. It researches, codes, builds websites, creates slide decks, and generates videos. All by itself. All on your computer. It's called DeerFlow. You give it a task. It makes a plan, spins up its own team of sub-agents, and gets to work. You come back and there's a finished deliverable waiting. Not a draft. Not a summary. The actual thing. Not a chatbot. Not a research assistant. An AI with its own computer that works while you sleep. Here's what it does on its own: → Spawns multiple sub-agents in parallel, each tackling a different piece of your task, then combines everything into one finished output → Writes real code, runs it, reads the results, and fixes its own mistakes without asking you once → Builds slide decks, websites, full research reports, and data dashboards from scratch → Remembers you across sessions. Your writing style. Your tech stack. Your preferences. Gets better every time. → Reads files you upload, works with them inside its own filesystem, hands you clean finished outputs → Searches the web, runs commands, calls any tool you plug in Here's how it thinks: You give one instruction. The lead agent makes a plan. Sub-agents fan out and work in parallel. Results come back. Everything gets synthesized. You get a deliverable. A single research task might split into a dozen sub-agents, each exploring a different angle, then converge into one finished website with generated visuals. Here's the wildest part: DeerFlow 2.0 launched on February 28th 2026 and hit number 1 on all of GitHub Trending the same day. Version 2.0 was a complete rewrite. Zero shared code with version 1. Because users kept using it for things the team never intended. Data pipelines. Dashboards. Entire content workflows. The community told them what it needed to become. So they burned it down and rebuilt it. 22.7K GitHub stars. 2.7K forks. Built by ByteDance 100% Open Source. MIT License.
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SonnyBoy🇺🇸
SonnyBoy🇺🇸@gotrice2024·
This man was camping alone, he decided to make a quick update video for his followers when he started noticing activity outside of his tent, he started hearing noises and screams that he couldn’t tell were from animals or not. He sat silent as he felt like he heard people walking outside his tent. But he never left his tent to investigate, he just sat there and waited until it went away. If he felt threatened as if something g or someone meant him harm, why would anyone in that position just stay put, wouldn’t you make an attempt to leave?
SonnyBoy🇺🇸@gotrice2024

A pair of friends were camping in their van when they noticed they were surrounded by about 8 people, some on foot and some on bikes. Upon investigation they didn’t really see any tire tracks as if the people just vanished. They decided to take it upon themselves to try to track and follow them. In a situation like this where they feel threatened by the group surrounding them, why would anyone go after them, why not just leave?

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Sharbel
Sharbel@sharbel·
steal this prompt. it runs my morning content brief every day. paste this into your AI agent: "you are my content strategist. every morning: 1. search what went viral in my niche in the last 24 hours 2. check what i posted this week and what got the best engagement 3. write 5 tweet drafts using my voice, not generic AI voice 4. score each one on: hook strength, bookmarkability, originality 5. send them to me ranked, with one sentence explaining each pick" this prompt runs every day at 7am. save this. you will use it.
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WIK@wik_plus·
@unblogd Jeder mit einem Funken Menschenverstand weis warum das so ist. Hier gehts nicht um faktische Empörung und Gerechtigkeit, sondern um Interessen und Gehaltslisten.
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Miró
Miró@unblogd·
Sonst schweigen und jetzt das... Was eine Sh#tshow
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Ali Utlu
Ali Utlu@AliCologne·
Stell dir vor, ich werde virtuell vergewaltigt 2024, von meinem Partner, der dies angeblich zugibt. Mit dem gleichen "Partner" schließe ich 2025 einen Werbevertrag ab und steige mit ihm für die Werbung ins Bett. Erst 2026 zeige ich das dann in Spanien an, stelle alle deutschen Männer als Tätergruppe hin und fordere eine Klarnamenspflicht, just in dem Moment, wo der Staat das durchdrücken möchte. Wenn das ein Film auf Netflix wäre, würde ich Netflix abbestellen.
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Kirill
Kirill@kirillk_web3·
Claude Bot on Polymarket — Full Guide The same setup turned $1,000 into $1.5M. 2 hours. Nothing complicated. Bookmark this so you don’t lose it.
Kirill@kirillk_web3

x.com/i/article/2025…

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WIK@wik_plus·
@ninjae86 tell your agent the news are old
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Nino Jaeger
Nino Jaeger@ninjae86·
Two mystery AI models just appeared on OpenRouter. Hunter Alpha: built for agentic workflows, long-horizon tasks, tool use. Healer Alpha: multimodal - vision, audio, reasoning, action. No one is claiming them. Community thinks DeepSeek V4. Others say ZhiPu AI. I'm testing Hunter Alpha right now. openrouter.ai/models
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Pontus Abrahamsson — oss/acc
Introducing toolpick, solving "too many tools" problem for @aisdk - Hybrid keyword search (BM25 + TF-IDF) - Semantic embedding search - Optional LLM reranking - Selects the right ~5 tools per step GitHub ⬇️🧵
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WIK@wik_plus·
@XzumTreme was denkt ihr wie viel hat sie dafür kassiert ?
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XzumTreme
XzumTreme@XzumTreme·
Was ist denn bei den #Ulmen's los 🥺
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Kshitij Mishra | AI & Tech
Kshitij Mishra | AI & Tech@DAIEvolutionHub·
Fastest growing GitHub projects this week 🤯 1. agency-agents (+23.2K) AI agency in one repo 2. superpowers (+19.2K) framework for AI agents 3. MiroFish (+17.6K) swarm intelligence engine 4. OpenViking (+10.2K) context DB for agents 5. browser (+9.9K) headless browser for AI 6. impeccable (+6.4K) design system for AI UI 7. page-agent (+6.2K) control websites with AI 8. context-hub (+5.2K) Andrew Ng’s agent layer 9. deepagents (+4.9K) multi-agent framework 10. BitNet (+4.8K) 1-bit LLMs by Microsoft AI agents took over GitHub 😭 x.com/DAIEvolutionHu…
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Nav Toor
Nav Toor@heynavtoor·
🚨Someone just open sourced a computer that works when the entire internet goes down. It's called Project N.O.M.A.D. A self-contained offline survival server with AI, Wikipedia, maps, medical references, and full education courses. No internet. No cloud. No subscription. It just works. Here's what's packed inside: → A local AI assistant powered by Ollama (works fully offline) → All of Wikipedia, downloadable and searchable → Offline maps of any region you choose → Medical references and survival guides → Full Khan Academy courses with progress tracking → Encryption and data analysis tools via CyberChef → Document upload with semantic search (local RAG) Here's the wildest part: A solar panel, a battery, a mini PC, and a WiFi access point. That's it. That's your entire off-grid knowledge station. 15 to 65 watts of power. Works from a cabin, an RV, a sailboat, or a bunker. Companies sell "prepper drives" with static PDFs for $185. This gives you a full AI brain, an entire encyclopedia, and real courses for free. One command to install. 100% Open Source. Apache 2.0 License.
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Khairallah AL-Awady
Khairallah AL-Awady@eng_khairallah1·
🚨 BREAKING: Someone just built a headless browser from scratch that makes Chrome look like a joke for AI agents. It's called Lightpanda. Bookmark it for later. Not a Chromium fork. Not a WebKit patch. A completely new browser written from zero in Zig with one purpose: headless performance for machines. Here's the problem right now: Every AI agent doing web automation is running Chrome under the hood. A full desktop browser with CSS rendering, GPU compositing, image decoding, font rasterization. All of it running on a server. For an agent that will never see a single pixel. You're paying for 100% of Chrome and using 20% of it. Lightpanda strips out everything your agent doesn't need and keeps everything it does: → Full JavaScript execution via V8: Ajax, Fetch, SPAs, infinite scroll, dynamic content → HTML parsing via html5ever (Mozilla's battle-tested parser) → Custom DOM engine built in Zig → No CSS layout. No image decoder. No GPU compositor. No font rasterizer → Built-in MCP server for direct AI agent integration The benchmarks are brutal: → 100-page scrape: Chrome takes 25.2 seconds. Lightpanda does it in 2.3 seconds → Peak memory: Chrome uses 207MB. Lightpanda uses 24MB → At scale: 140 concurrent Lightpanda sessions fit in the same RAM as 9 Chrome sessions → At 100 tabs, Chrome takes over an hour. Lightpanda finishes in under 5 seconds Still in Beta and Web API coverage is growing. But the founder built this after running 20 million Chrome crawls per day at his previous company and watching the infrastructure costs pile up. 100% Opensource. AGPL-3.0. (Link in the comments)
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Guri Singh
Guri Singh@heygurisingh·
🚨 24,000 developers found this repo before you did. And they're already using it to automate their entire stock research. I genuinely can't believe this is free. A developer just open-sourced a full AI stock analysis system that runs every day on autopilot. It's called daily_stock_analysis. One config file. One command. And every morning you wake up to: → Full market data pulled from multiple sources with automatic failover → AI-scraped and sentiment-scored financial news on every stock you track → LLM-generated Buy/Hold/Sell reports with confidence scores → Risk agents that kill bullish recommendations when they detect red flags → Backtest validation proving accuracy of past AI calls → Reports delivered to Telegram, Discord, Slack, Email, WeChat, Feishu US stocks. Hong Kong stocks. A-shares. All covered. Runs free on GitHub Actions. No server. No cloud bill. No subscription. While you're spending $24K/year on Bloomberg or 2 hours every morning on manual research, 24K developers are getting better analysis delivered to their phone before breakfast. #8 Trending Repository of the Day. Recommended by HelloGitHub. 100% Open Source. MIT License. Save this post. You'll thank yourself later. (Link in the comments)
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WIK
WIK@wik_plus·
@OpenRouter someone knows will this land in alibabacloud ?
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Nav Toor
Nav Toor@heynavtoor·
🚨 Governments pay millions for this. Someone just open sourced it for free. It's called Crucix. It watches the entire world. And texts you when something changes. It pulls from 26 live data sources every 15 minutes and renders everything on a single Jarvis-style dashboard. Here's what it watches: → Satellite fire detection (NASA) → Live flight tracking → Radiation monitoring → Conflict zone events → Economic indicators from the Fed → Live market prices, crypto, oil, and commodities → Sanctions lists → Social sentiment from 17 Telegram intelligence channels → Maritime vessel tracking → News from GDELT and RSS feeds Here's what makes this one different: It's two-way. It pushes alerts to your Telegram and Discord. You text it back. Type /brief from your phone and get a full intelligence summary. Type /sweep to force a new scan. It responds like an assistant. It even generates trade ideas based on cross-domain signals. No cloud. No subscription. No telemetry. Runs on your machine. node server.mjs That's it. Your own intelligence terminal. This is the kind of setup that costs six figures behind closed doors. 100% Open Source. MIT License.
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WIK
WIK@wik_plus·
@EHuanglu So it’s an ai figma mix
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