•twitter5510
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5510
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+24%
1742 positive
3349 neutral
419 negative
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Sep 30 – Oct 5, 2026 · Daily
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6
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Showing 1801–1825 of 5510 mentions
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• twitter 1d positive🔥 NICHE LEAK! ~30.4K subscribers with just 28 videos ~Started posting 4 months ago ~5,055,221 total views The topics are practical problems people deal with daily Format: > Short 3-6 minute videos on one topic > Simple black-and-white doodle animations explain each idea > Titles focus on problems like focus, habit… 🔥 NICHE LEAK! ~30.4K subscribers with just 28 videos ~Started posting 4 months ago ~5,055,221 total views The topics are practical problems people deal with daily Format: > Short 3-6 minute videos on one topic > Simple black-and-white doodle animations explain each idea > Titles focus on problems like focus, habits, tiredness, and procrastinationview source ↗
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• twitter 1d positivepolished version of https://t.co/GcZ8vI6ToL atp working on Checkpoint is slow because every step waits for the one before it. Two short messages became 18 claims, then 18 HydraDB recalls one after another. The client timed out past 120s, the server kept going, and a retry wrote the memories twice polished version of https://t.co/GcZ8vI6ToL atp working on Checkpoint is slow because every step waits for the one before it. Two short messages became 18 claims, then 18 HydraDB recalls one after another. The client timed out past 120s, the server kept going, and a retry wrote the memories twiceview source ↗
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• twitter 1d negativeA genuine question: Why are we only vibe coding simple web apps? Why don't we vibe code Kubernetes, operating systems, compilers, databases, and other complex software? Is AI really not good enough to build all of these? A genuine question: Why are we only vibe coding simple web apps? Why don't we vibe code Kubernetes, operating systems, compilers, databases, and other complex software? Is AI really not good enough to build all of these?view source ↗
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• twitter 1d neutralData table exploration https://t.co/FK0ijufQzS Data table exploration https://t.co/FK0ijufQzSview source ↗
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• twitter 1d negativeMost founders waste $30k/month looking for a unicorn. The worst thing you can do is hire one person to run organic growth. They don't exist. You need 3 completely different skill sets: 1. Head of Social Growth Gen Z brain rot expert. Watches viral content all day. Knows which principles actually apply to your app. … Most founders waste $30k/month looking for a unicorn. The worst thing you can do is hire one person to run organic growth. They don't exist. You need 3 completely different skill sets: 1. Head of Social Growth Gen Z brain rot expert. Watches viral content all day. Knows which principles actually apply to your app. 2. Creator Manager/Coach Gives feedback to every creative. Makes micro adjustments to hooks, storylines, CTAs. Without this, TikTok feels like a lottery. 3. Talent Scout Outreach to thousands of creators. Builds recruiting pipelines. Extreme volume plus systems mindset. These skill sets have zero overlap, yet founders keep hunting for the magical person who does all three - or they blow budget on agencies that promise everything. You can't shortcut this. Each role is full-time.view source ↗
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• twitter 1d neutralFound a GitHub repo packed with 475+ Claude Opus 5.5 video demos 🤯 From 3D scenes and motion graphics to games and interactive experiments. Even has the prompts so you can recreate them yourself. 👀 Repo in the comments. https://t.co/KYsBXVLAqz Found a GitHub repo packed with 475+ Claude Opus 5.5 video demos 🤯 From 3D scenes and motion graphics to games and interactive experiments. Even has the prompts so you can recreate them yourself. 👀 Repo in the comments. https://t.co/KYsBXVLAqzview source ↗
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• twitter 1d neutralHe’s not that small, and quite obviously he’s also resisting. He’s not that small, and quite obviously he’s also resisting.view source ↗
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• twitter 1d positiveFind every hour you can hand to Claude, straight from your calendar. Sonnet 5.5 came out on Monday. It's fast and cheap enough to run the repeat jobs every day. The hard part is knowing which jobs. Send this prompt to Claude with your calendar and email connected. It reads your last 14 days and sorts every task into … Find every hour you can hand to Claude, straight from your calendar. Sonnet 5.5 came out on Monday. It's fast and cheap enough to run the repeat jobs every day. The hard part is knowing which jobs. Send this prompt to Claude with your calendar and email connected. It reads your last 14 days and sorts every task into hand off, keep or drop. What to do with the list is in the article below. Steal both: https://t.co/oohYzkd20Kview source ↗
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• twitter 1d neutralwtff 200k downloads from 500M views all that from 61 videos without a cta https://t.co/MciKurqQLW wtff 200k downloads from 500M views all that from 61 videos without a cta https://t.co/MciKurqQLWview source ↗
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• twitter 1d positiveThe new numbers are in. Turns out: - X Premium+ increases limits for Grok subscriptions. 80x was measured against 40$ (X Premium+) + 30$ (SuperGrok) - Confirmed almost identical multiplier for Claude Pro (42x vs. 45.3x) with peak hours having no effect My best estimates so far below. Thank you for all your feedback. The new numbers are in. Turns out: - X Premium+ increases limits for Grok subscriptions. 80x was measured against 40$ (X Premium+) + 30$ (SuperGrok) - Confirmed almost identical multiplier for Claude Pro (42x vs. 45.3x) with peak hours having no effect My best estimates so far below. Thank you for all your feedback.view source ↗
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• twitter 1d positiveIf you're using Opus 5.5 or Astra you don't really need context docs these models are this good. You should probably delete most of the instructions you have, these models know exactly what to do. Unless it's extremely sensitive tho Agentic engineering from earlier April & may are kinda counter productive now. If you're using Opus 5.5 or Astra you don't really need context docs these models are this good. You should probably delete most of the instructions you have, these models know exactly what to do. Unless it's extremely sensitive tho Agentic engineering from earlier April & may are kinda counter productive now.view source ↗
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• twitter 1d neutralbuy .si domains with names from 70s, 80s and 90s futuristic sci-fi ai founders keep naming their companies after that era https://t.co/zH3DPvORtR sold for $20k this year, and most of those names are still sitting at morning’s coffee price buy .si domains with names from 70s, 80s and 90s futuristic sci-fi ai founders keep naming their companies after that era https://t.co/zH3DPvORtR sold for $20k this year, and most of those names are still sitting at morning’s coffee priceview source ↗
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• twitter 1d negativeYou can now chart Workers Observability data in Custom Dashboards. Correlate Worker errors, logs, and HTTP traffic in one view to debug faster. https://t.co/ntJ1lHRKZl You can now chart Workers Observability data in Custom Dashboards. Correlate Worker errors, logs, and HTTP traffic in one view to debug faster. https://t.co/ntJ1lHRKZlview source ↗
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• twitter 1d negativeAI monitoring is getting f…cking illegal 10 open-source GitHub projects for splitting one job across an entire team of AI workers 01 LangGraph ▸ https://t.co/40xDVIgL8I → stateful parallel agent workflows 02 CrewAI ▸ https://t.co/leSFAquLAW → specialized agents working as a crew BUILD THE WORKERS 03 AutoGen ▸ http… AI monitoring is getting f…cking illegal 10 open-source GitHub projects for splitting one job across an entire team of AI workers 01 LangGraph ▸ https://t.co/40xDVIgL8I → stateful parallel agent workflows 02 CrewAI ▸ https://t.co/leSFAquLAW → specialized agents working as a crew BUILD THE WORKERS 03 AutoGen ▸ https://t.co/QmDi0xGJNz → multi-agent conversations + execution 04 Agno ▸ https://t.co/K6IwXiJCKg → agent teams + workflows 05 OpenHands ▸ https://t.co/RLP18B0zIc → autonomous software tasks GIVE THEM A RUNTIME 06 E2B ▸ https://t.co/Mz2wXEtI9B → isolated environments for agent execution 07 Daytona ▸ https://t.co/pHtMWe7dsY → infrastructure for parallel AI workloads CONTROL THE QUEUE 08 Temporal ▸ https://t.co/5H7Tc3kwzS → durable workflows that survive failures VERIFY THE WORK 09 DeepEval ▸ https://t.co/c2kul9WwBD → evaluate agent outputs 10 Langfuse ▸ https://t.co/HqjNuZo4I1 → trace every task across the workflow the foundry: task → queue → ingest → reason → execute → verify → output → next task 3 workers can reason 5 can execute another can verify everything before it ships that’s the interesting shift the next AI system isn’t one agent processing prompts faster it’s a factory where tasks keep moving even when individual workers fail ⭣view source ↗
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• twitter 1d neutralDennis Bergkamp, poetry in motion 🤤 https://t.co/JNSN1S094Z Dennis Bergkamp, poetry in motion 🤤 https://t.co/JNSN1S094Zview source ↗
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• twitter 1d neutralI gave Claude Sonnet 5.5 one sentence: "Build a Discord Server For My SWE Company" https://t.co/N3nIDDqA8L I gave Claude Sonnet 5.5 one sentence: "Build a Discord Server For My SWE Company" https://t.co/N3nIDDqA8Lview source ↗
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• twitter 1d neutralLet me be your first customer. Drop your website/app. Let me be your first customer. Drop your website/app.view source ↗
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• twitter 1d positiveinsanely beautiful morning ☀️ https://t.co/TVJG9Scnr5 insanely beautiful morning ☀️ https://t.co/TVJG9Scnr5view source ↗
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• twitter 1d neutral币安周边，可能很多人当时没理解。😂 https://t.co/CEJ8wWWEYK 币安周边，可能很多人当时没理解。😂 https://t.co/CEJ8wWWEYKview source ↗
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• twitter 1d positivethis prompt turns Grok into a small engineering team that helped me ship 1,000+ PRs here's how the setup works: 1. the first bot reads the task and maps the repo. it finds the relevant files, dependencies, similar implementations and previous PRs, then passes only the useful context forward. 2. the second bot decide… this prompt turns Grok into a small engineering team that helped me ship 1,000+ PRs here's how the setup works: 1. the first bot reads the task and maps the repo. it finds the relevant files, dependencies, similar implementations and previous PRs, then passes only the useful context forward. 2. the second bot decides what kind of task it is, how risky the change is and which agent should handle it. the coding agent doesn't waste time figuring out where to start. 3. the builder gets the context and writes the smallest possible change. no unnecessary refactors, no touching unrelated files and no reading the entire repo again. 4. once the code is ready, another bot runs tests, lint, type checks, builds and targeted edge cases. if something breaks, the failure goes straight back to the builder. 5. a separate reviewer reads the diff from scratch and looks for regressions, bad assumptions, missing tests and unnecessary complexity. the bot that wrote the code never approves its own work. 6. the final bot checks the risky parts: secrets, auth, permissions, dependencies and config changes. if everything passes, the system opens a draft PR with the full context attached. the whole loop is basically: issue → research → code → tests → review → PR that setup has now helped me ship 1,000+ PRs the biggest unlock wasn't making one model smarter it was giving every bot one job, clean context and a verification step before the work moves forward.view source ↗
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• twitter 1d positiveWe’re super excited to welcome @getcontextdev as RareUI’s new Diamond Sponsor. https://t.co/gyoMfSXQw3 is building one API for agents to scrape, search, monitor, and collect data from the web. Really appreciate https://t.co/gyoMfSXQw3 for supporting RareUI 🧡 https://t.co/8fuGDoVoVc We’re super excited to welcome @getcontextdev as RareUI’s new Diamond Sponsor. https://t.co/gyoMfSXQw3 is building one API for agents to scrape, search, monitor, and collect data from the web. Really appreciate https://t.co/gyoMfSXQw3 for supporting RareUI 🧡 https://t.co/8fuGDoVoVcview source ↗
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• twitter 1d positiveIf you still think AI can’t make films, take a look at this. Absolutely incredible. https://t.co/cFiQrYWDWI If you still think AI can’t make films, take a look at this. Absolutely incredible. https://t.co/cFiQrYWDWIview source ↗
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• twitter 1d neutralhttps://t.co/Z6b98jRzlq https://t.co/Z6b98jRzlqview source ↗
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• twitter 1d positiveExactly 7 days ago, I started building in public on X. Today, I’m at 905 followers. No ads. No big audience. No existing community. Just posting every day, meeting people, replying, learning and trying to provide value. And honestly, the biggest lesson I’ve learned so far is simple: Consistency compounds. You don… Exactly 7 days ago, I started building in public on X. Today, I’m at 905 followers. No ads. No big audience. No existing community. Just posting every day, meeting people, replying, learning and trying to provide value. And honestly, the biggest lesson I’ve learned so far is simple: Consistency compounds. You don’t need every post to go viral. You just need to keep showing up long enough for the right people to find you. I’ve met so many interesting people here already, and that’s probably what I’m most excited about. Now I’m getting close to launching my first product. The follower count is cool. But building something people actually want? That’s the real goal. Back to building. 🚀view source ↗
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• twitter 1d neutralMerkez üsleri Adana ile Osmaniye olan ve çevre illerde de hissedilen depremlerin can ve mal kaybına sebep olmamasını diliyor, sarsıntılardan etkilenen tüm vatandaşlarımıza geçmiş olsun dileklerimizi iletiyoruz. #Deprem Merkez üsleri Adana ile Osmaniye olan ve çevre illerde de hissedilen depremlerin can ve mal kaybına sebep olmamasını diliyor, sarsıntılardan etkilenen tüm vatandaşlarımıza geçmiş olsun dileklerimizi iletiyoruz. #Depremview source ↗