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across 19 keywords
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May 13 – Oct 16, 2026 · 4-day buckets
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claude / pricing
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Showing 12626–12650 of 16478 mentions
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Every developer needs an AI shed: An always-on machine running on their tailscale network where the majority of their herdr agents are running. Every developer needs an AI shed: An always-on machine running on their tailscale network where the majority of their herdr agents are running.view source ↗
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Get ready. The tide is turning. New opportunities and huge success are ahead. Get ready. The tide is turning. New opportunities and huge success are ahead.view source ↗
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https://t.co/QAtOiiRBaR https://t.co/QAtOiiRBaRview source ↗
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https://t.co/tWKlL0wfJj https://t.co/tWKlL0wfJjview source ↗
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https://t.co/0C4Fpfjr7J https://t.co/0C4Fpfjr7Jview source ↗
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https://t.co/TSwVB7ZPip https://t.co/TSwVB7ZPipview source ↗
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one week in and all sales done through twitter. unreal. https://t.co/lXU3pBMRlT one week in and all sales done through twitter. unreal. https://t.co/lXU3pBMRlTview source ↗
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I cracked the code on AI animation. Soon I am openning Crafft University. what is Crafft univeristy? I noticed something.. no one is chasing another software. Brands want Done for you (huge oppurtinity) Creator looking for methods and prompt templates. it's been months I started running crafft studio. but now I to… I cracked the code on AI animation. Soon I am openning Crafft University. what is Crafft univeristy? I noticed something.. no one is chasing another software. Brands want Done for you (huge oppurtinity) Creator looking for methods and prompt templates. it's been months I started running crafft studio. but now I took the decision that why not also sharing my framework? for now I am sharing the exact prompt I used to generate this opening. RT + comment "want" and it's urz (kindly follow so I can dm)view source ↗
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AI SEO helped one of my sites grow from about 4 to 284 clicks a day. Here’s the workflow behind that case study. It runs inside my Agent OS: → Find keywords getting impressions but few clicks. → Choose a topic worth investigating. → Add a real case study to the brief. → Generate distinct articles for relevant web… AI SEO helped one of my sites grow from about 4 to 284 clicks a day. Here’s the workflow behind that case study. It runs inside my Agent OS: → Find keywords getting impressions but few clicks. → Choose a topic worth investigating. → Add a real case study to the brief. → Generate distinct articles for relevant websites. → Review the pages and track their results. The system gives me one place to see sites, keywords, and drafts. The reported growth is one site’s result, not a promise for every website. Save this video, you’ll see how I turn search data into a content plan. Want the SOP? DM me. 💬view source ↗
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What will you do when you have a 100% limit? https://t.co/uRyGkGddO6 What will you do when you have a 100% limit? https://t.co/uRyGkGddO6view source ↗
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Wall Street investors are pushing back on AI valuations as rising interest rates sharpen concerns about the cost of data centers. Some investors think Anthropic should be valued closer to $1.5 trillion than the $2 trillion bankers have floated. Read more: https://t.co/0XTPv61FZi Wall Street investors are pushing back on AI valuations as rising interest rates sharpen concerns about the cost of data centers. Some investors think Anthropic should be valued closer to $1.5 trillion than the $2 trillion bankers have floated. Read more: https://t.co/0XTPv61FZiview source ↗
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Japanese officials lodged a protest with the US after a Marine was arrested on suspicion of killing a woman in Okinawa, and called for stricter discipline among US personnel https://t.co/rNqDUlzZdV https://t.co/a8MfZJLaz8 Japanese officials lodged a protest with the US after a Marine was arrested on suspicion of killing a woman in Okinawa, and called for stricter discipline among US personnel https://t.co/rNqDUlzZdV https://t.co/a8MfZJLaz8view source ↗
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Topics to prepare for AI engineering interviews in 2026: - How LLMs work: tokens, embeddings, attention, context windows - Prompting: system prompts, few-shot, structured outputs - RAG: chunking, embeddings, vector search, reranking - Hybrid search: keyword + semantic - Agents: tool calling, planning, loops, stopping … Topics to prepare for AI engineering interviews in 2026: - How LLMs work: tokens, embeddings, attention, context windows - Prompting: system prompts, few-shot, structured outputs - RAG: chunking, embeddings, vector search, reranking - Hybrid search: keyword + semantic - Agents: tool calling, planning, loops, stopping conditions - MCP: building and connecting tool servers - Memory: short-term, long-term, summarization - Evals: golden datasets, LLM-as-judge, regression tests - Hallucinations: how to detect and reduce them - Guardrails: schema validation, output filters - Security: prompt injection, PII, sandboxing tools - Model selection: when to use small vs reasoning models - Cost: tokens, caching, routing, batching - Latency: streaming, speculative decoding, KV cache - Fine-tuning: LoRA, when it beats prompting - Preference tuning: RLHF vs DPO basics - Observability: tracing every model and tool call - Deployment: APIs, queues, retries, rate limits - Reliability: fallbacks, timeouts, resumable workflows - Multimodal: images, audio, documents - System design: design a support agent, a coding agent, a RAG app - Python + async, plus one framework you know deeply - Past project deep dive: what broke and how you fixed it Most interviews end with "show me something you built." Bookmark this + send it to someone prepping for AI interviews.view source ↗
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Claude looked like this in 2023. 3 years ago. https://t.co/qHjzURCEnV Claude looked like this in 2023. 3 years ago. https://t.co/qHjzURCEnVview source ↗
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What's the ticker that will make me 10million dollars? What's the ticker that will make me 10million dollars?view source ↗
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Hiring at Supabase !! There are 60 open positions across engineering, sales, design, and many more, so there should be something that would fit you! This is a remote company, so where you live doesn't matter. If you are awesome at what you do, you are in. apply here: https://t.co/y1DWWtJ4hU Hiring at Supabase !! There are 60 open positions across engineering, sales, design, and many more, so there should be something that would fit you! This is a remote company, so where you live doesn't matter. If you are awesome at what you do, you are in. apply here: https://t.co/y1DWWtJ4hUview source ↗
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RoadPrintz #Robot Automates Road Marking with Precision and Speed by @roadprintz #Robotics #Engineering #Innovation #Technology https://t.co/4sO9In9DAc RoadPrintz #Robot Automates Road Marking with Precision and Speed by @roadprintz #Robotics #Engineering #Innovation #Technology https://t.co/4sO9In9DAcview source ↗
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Toughest part of starting out is figuring out what is/isn’t worth your time There is a lot of work to be done and nobody around to help, so you have to do everything But not all work is equally productive. Most efforts yield +-2% change to the system (low leverage) but some efforts yield 50-100+% change to the syste… Toughest part of starting out is figuring out what is/isn’t worth your time There is a lot of work to be done and nobody around to help, so you have to do everything But not all work is equally productive. Most efforts yield +-2% change to the system (low leverage) but some efforts yield 50-100+% change to the system (high leverage) Your job is to find the high leverage opportunities and focus on those while ignoring or delegating the restview source ↗
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Who better to break down Ghost of Yōtei's new Echoes of Sekigahara expansion than Atsu herself? Ghost of Yōtei Complete Edition is out now, with a digital upgrade for owners of the base game: https://t.co/LtGrFs7chf https://t.co/20A3btEy1x Who better to break down Ghost of Yōtei's new Echoes of Sekigahara expansion than Atsu herself? Ghost of Yōtei Complete Edition is out now, with a digital upgrade for owners of the base game: https://t.co/LtGrFs7chf https://t.co/20A3btEy1xview source ↗
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If your software makes work simpler, its introduction should feel simple too. A product promo I created for 3gistics, helping warehouses move away from manual tracking with location-based inventory, team accountability and paperless workflows. https://t.co/DIvKcve7gm If your software makes work simpler, its introduction should feel simple too. A product promo I created for 3gistics, helping warehouses move away from manual tracking with location-based inventory, team accountability and paperless workflows. https://t.co/DIvKcve7gmview source ↗
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When someone finally gets it right, don't remind them how long it took. Let progress have a moment without putting the past beside it. When someone finally gets it right, don't remind them how long it took. Let progress have a moment without putting the past beside it.view source ↗
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- Morgan was right when he said: https://t.co/jTXtv4x8cf - Morgan was right when he said: https://t.co/jTXtv4x8cfview source ↗
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Jev is getting a lot of attention right now. But after looking through the projects people are actually building with it, I think the more interesting story is not Jev itself. It’s the role it can play inside an agent. A few examples stood out to me: 1. browser-use/jev-ultrafast (~16.6k⭐) Jev picks the next browser… Jev is getting a lot of attention right now. But after looking through the projects people are actually building with it, I think the more interesting story is not Jev itself. It’s the role it can play inside an agent. A few examples stood out to me: 1. browser-use/jev-ultrafast (~16.6k⭐) Jev picks the next browser action without needing another expensive LLM call. https://t.co/bP7kF81nDp 2. tamaratran/fast-jev-compaction (~6.5k⭐) Uses Jev to decide which context is still useful and what can be dropped. https://t.co/KKxtr9VY2s 3. TheoLeeCJ/SemIf (~4k⭐) An open-source, local implementation of Jev-style decision making. https://t.co/4iltOQv3o3 4. jarrodwatts/jev-trader (~2.1k⭐) A real-time trading loop where Jev chooses between buy, sell, or wait. https://t.co/3fkfATZKZH 5. kerpopule/hermes-jev-skills (~670⭐) Uses Jev for routing, memory, compaction, and skill selection. https://t.co/WGyDQgfXPM 6. devagrawal09/jev-review (~570⭐) Code review where Jev helps make decisions instead of relying on one massive prompt. https://t.co/YwwJyBsCB2 7. thruwire/foreman (~520⭐) Uses Jev as a supervisor for coding agents: continue, retry, verify, or stop. https://t.co/tky1ts5ZTb 8. superagents-lab/jev-search (~400⭐) Jev decides where an agent should search and how it should search. https://t.co/ALjXzRcJcp 9. droidrun/mobile-jev (~350⭐) Uses Jev to choose the next action for Android agents. https://t.co/yP78qz9sVc 10. gargpratyush/jev-router (~340⭐) Uses Jev to route different agent tasks to the right model. https://t.co/JBYI4N8LOu The pattern across these projects is pretty interesting: 1. LLMs generate. 2. Agents execute. 3. Jev decides. And that decision layer can show up in very different places: → Which action should the agent take? → Which context should it keep? → Which skill should it use? → Which model should handle the task? → Should it retry, verify, or stop? → Where should it search next? This is probably the most useful way to think about Jev. Not as anview source ↗
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Do you use Synara in a famous company? If so write in the replies where do you use it! 👇 Do you use Synara in a famous company? If so write in the replies where do you use it! 👇view source ↗
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nah bro 😭 this girl is running a whole wellness page just to sell a €10 ebook on gumroad 😭 i'd bet she's pulling at least ~$5k/m off this alone that's the part i want app founders to get slideshows really don't care what you're selling if a pdf can move like this, your app has no excuse nah bro 😭 this girl is running a whole wellness page just to sell a €10 ebook on gumroad 😭 i'd bet she's pulling at least ~$5k/m off this alone that's the part i want app founders to get slideshows really don't care what you're selling if a pdf can move like this, your app has no excuseview source ↗