•twitter15877
listening to
timeline
15877
mentions
tracked
tracked
net sentiment
+24%
4998 positive
9734 neutral
1145 negative
volume & sentiment over time
Sep 30 – Oct 14, 2026 · Daily
sources
most discussed
—
active days
15
mentions
Showing 451–475 of 15877 mentions
-
• twitter 1d positivewhen ur up $10k ur like lol fuck ima do w $10k when ur down $10k ur like wow i could have used that money for like a million things stupid greedy monkey brain when ur up $10k ur like lol fuck ima do w $10k when ur down $10k ur like wow i could have used that money for like a million things stupid greedy monkey brainview source ↗
-
• twitter 1d neutralnew card for @SAGE_ships ! new card for @SAGE_ships !view source ↗
-
• twitter 1d positiveTom Cruise proudly introducing the Digger producer to fans he ran into on the streets of Seoul and Tom was genuinely so happy to hear that they’d already bought tickets to see Digger😆 https://t.co/JG2XxTN1tC https://t.co/dmzI1jCfW7 Tom Cruise proudly introducing the Digger producer to fans he ran into on the streets of Seoul and Tom was genuinely so happy to hear that they’d already bought tickets to see Digger😆 https://t.co/JG2XxTN1tC https://t.co/dmzI1jCfW7view source ↗
-
• twitter 1d neutralThe power of notifications 😉 iykyk https://t.co/V4SBxi7Rci The power of notifications 😉 iykyk https://t.co/V4SBxi7Rciview source ↗
-
• twitter 1d neutralSay NO to AI slop 🫷 Screens from app projects we worked on. https://t.co/tG5r1CxEBv Say NO to AI slop 🫷 Screens from app projects we worked on. https://t.co/tG5r1CxEBvview source ↗
-
• twitter 1d neutralAfter lunch: 🎙️How @OVOenergy builds secure customer support agents 🎙️@BenTannyhill on how we built LangSmith Engine 🎙️How @jimdo built an AI companion for small biz with LangSmith https://t.co/T1ZawxjTfQ After lunch: 🎙️How @OVOenergy builds secure customer support agents 🎙️@BenTannyhill on how we built LangSmith Engine 🎙️How @jimdo built an AI companion for small biz with LangSmith https://t.co/T1ZawxjTfQview source ↗
-
• twitter 1d neutralEscape Academy 2: Back 2 School comes to PS5 on November 5 Discover a fully explorable and puzzling open-world campus: https://t.co/s5iilG6A0h https://t.co/k1sd2jMt6K Escape Academy 2: Back 2 School comes to PS5 on November 5 Discover a fully explorable and puzzling open-world campus: https://t.co/s5iilG6A0h https://t.co/k1sd2jMt6Kview source ↗
-
• twitter 1d neutral☠️👀 https://t.co/u8h7KV4GHZ ☠️👀 https://t.co/u8h7KV4GHZview source ↗
-
• twitter 1d neutral“I don’t gamble on crypto, it’s too risky” Your grandpa when he was your age: https://t.co/ZbwGd49F85 “I don’t gamble on crypto, it’s too risky” Your grandpa when he was your age: https://t.co/ZbwGd49F85view source ↗
-
• twitter 1d positivewe were the first ones to create the open source version of Grok Bot, Dots and Muse you can deploy it on that Mac mini thats eating dust or your own VPS, and it can work through long-running tasks, 24/7. Its got a much simpler UI than any other apps at the moment and a beautiful IOS and Android apps as well It supp… we were the first ones to create the open source version of Grok Bot, Dots and Muse you can deploy it on that Mac mini thats eating dust or your own VPS, and it can work through long-running tasks, 24/7. Its got a much simpler UI than any other apps at the moment and a beautiful IOS and Android apps as well It supports live calling, routines, webhooks, and multiple accounts. But my favourite feature isn’t something we shipped. It’s the community. People are using MausBot for things I genuinely never imagined when we started building it. That’s a pretty incredible feeling. To everyone who contributed, broke things, helped fix them, or shared what you’re building: thank you. This app has your fingerprints all over it. Today, we’re launching on @ProductHunt If MausBot has been useful to you, an honest review and an upvote would mean a lot. We’ve shipped a lot. We’re nowhere near done.view source ↗
-
• twitter 1d neutralPREDICTION By Q2 2027 no serious production stack will send classify, extract, or summarize calls to a frontier LLM Those layers will all be purpose-built models Either CDMs in the cloud or tiny open models on a single GPU Frontier LLMs get demoted to 2 jobs • Planning • Code generation Everything else goes to mo… PREDICTION By Q2 2027 no serious production stack will send classify, extract, or summarize calls to a frontier LLM Those layers will all be purpose-built models Either CDMs in the cloud or tiny open models on a single GPU Frontier LLMs get demoted to 2 jobs • Planning • Code generation Everything else goes to models that read once and answer once 200x faster and 467x cheaper is not a feature It’s a replacementview source ↗
-
• twitter 1d negativemost businesses overpay for AI by 10x. not because AI is expensive. because they use the most powerful model for everything. my rule for every build: 1. small, cheap model for sorting, extracting and formatting 2. big model only where real reasoning is needed 3. cache anything that repeats 4. check the bill every… most businesses overpay for AI by 10x. not because AI is expensive. because they use the most powerful model for everything. my rule for every build: 1. small, cheap model for sorting, extracting and formatting 2. big model only where real reasoning is needed 3. cache anything that repeats 4. check the bill every week, not every quarter the cheapest AI system isn't the one with the cheapest model. it's the one that uses each model for the right job.view source ↗
-
• twitter 1d neutralI found the dumbest way to make $1,000/day. (I'm 20, making $90k a month) How? AI Faceless pages. Here's exactly how to copy me: I found the dumbest way to make $1,000/day. (I'm 20, making $90k a month) How? AI Faceless pages. Here's exactly how to copy me:view source ↗
-
• twitter 1d neutralMI5 devoting more resources to countering state threats than during Cold War, says intelligence chief https://t.co/MTtPBVZwsi MI5 devoting more resources to countering state threats than during Cold War, says intelligence chief https://t.co/MTtPBVZwsiview source ↗
-
• twitter 1d positiveexactly one month ago, we launched tracwell today, we've served 3 million events 🚀 tons of feedback, lots of learning, and a lot of improvements along the way we're just getting started. some exciting things are coming soon on to 5M! https://t.co/XMAuBKLnSu https://t.co/kKDAzRMPAJ exactly one month ago, we launched tracwell today, we've served 3 million events 🚀 tons of feedback, lots of learning, and a lot of improvements along the way we're just getting started. some exciting things are coming soon on to 5M! https://t.co/XMAuBKLnSu https://t.co/kKDAzRMPAJview source ↗
-
• twitter 1d positiveYou don’t need more information. You need more relevant information. Meet Binance AI, bringing market news, personalized insights, and portfolio analysis into one experience, built around you. See how it works. 👉 https://t.co/8DygIVwBg4 https://t.co/8a92hX3YlD You don’t need more information. You need more relevant information. Meet Binance AI, bringing market news, personalized insights, and portfolio analysis into one experience, built around you. See how it works. 👉 https://t.co/8DygIVwBg4 https://t.co/8a92hX3YlDview source ↗
-
• twitter 1d positiveok now you can have it too my vibe editing Grok Bot. an AI video editor that takes your notes like a real editor would it won't one-shot your video. editing is still editing. you're directing, coaching, and putting your taste into every cut. it just does the timeline work https://t.co/4c8B0DIG8S ok now you can have it too my vibe editing Grok Bot. an AI video editor that takes your notes like a real editor would it won't one-shot your video. editing is still editing. you're directing, coaching, and putting your taste into every cut. it just does the timeline work https://t.co/4c8B0DIG8Sview source ↗
-
• twitter 1d neutralI BUILT AN APP IN UNDER 2 HOURS! It started as a voice note to my bro @emanueledpt "I need an app for my exams." 90 minutes later, it was on my phone 👇 → Every exam and how many credits I still need → A calendar with every upcoming exam date → My weighted average, updated live → My starting graduation score, out of… I BUILT AN APP IN UNDER 2 HOURS! It started as a voice note to my bro @emanueledpt "I need an app for my exams." 90 minutes later, it was on my phone 👇 → Every exam and how many credits I still need → A calendar with every upcoming exam date → My weighted average, updated live → My starting graduation score, out of 110 → Grade simulations: "If I get a 26 in everything else, what do I graduate with?" Built for Italian universities: credits (CFU), grades out of 30, graduation out of 110. It's just a draft. Should I make it public for every university?view source ↗
-
• twitter 1d neutralHard pill to swallow for app founders: The highest ROI screen in your app might be the one people see on their way out > You spent weeks on onboarding > You A/B tested your paywall 40 times > And your cancel flow is a single button that says "Confirm" It costs you nothing to ask them to stay at a lower price Go l… Hard pill to swallow for app founders: The highest ROI screen in your app might be the one people see on their way out > You spent weeks on onboarding > You A/B tested your paywall 40 times > And your cancel flow is a single button that says "Confirm" It costs you nothing to ask them to stay at a lower price Go look at your cancel flow todayview source ↗
-
• twitter 1d neutralNew cursor pricing 👀 https://t.co/M402jFqEWP New cursor pricing 👀 https://t.co/M402jFqEWPview source ↗
-
• twitter 1d negativeAlmost everyone starts with one AI agent and gives it everything. - A support ticket - A LinkedIn post - Something weird on the server - Then back to the support ticket Context windows are huge now, so why not have a single agent do it all? Well... more context doesn't mean better work. It's called context rot. The … Almost everyone starts with one AI agent and gives it everything. - A support ticket - A LinkedIn post - Something weird on the server - Then back to the support ticket Context windows are huge now, so why not have a single agent do it all? Well... more context doesn't mean better work. It's called context rot. The longer the input gets, the less reliable the model gets (even when the answer is right there). You'd never hire a single person to be your support team, your DevOps engineer AND your accountant. So don't do it with your agents either. Here's how we set ours up 👇view source ↗
-
• twitter 1d positive"How do u even know what good looks like?" This has been my qualm with Agentic coding as a junior, AI spits out something & I just review it with other 3 agents & merge it. Till last year it was thorough discussions within team on design & I used to learn a lot about stuff by just being there; now it's, "Just ask cla… "How do u even know what good looks like?" This has been my qualm with Agentic coding as a junior, AI spits out something & I just review it with other 3 agents & merge it. Till last year it was thorough discussions within team on design & I used to learn a lot about stuff by just being there; now it's, "Just ask claude & see what it says." Those team discussions, design stuff & nerding out on topics has been lost, idk about others but I've experienced it. So, I'm now learning through building by hand & AI on the side to discuss, but seeing everyone building autonomously with agents also makes me feel left behind alot. The thing is idk enough about things, so I can't rely on agents to build for me & expect them to be good at what they are outputting, all I can do is review with agents & test the output. Even if i ask AI what it did, reading through it feels cheap & I forget it anyways, coz I didn't write it. Nobody wants me to learn, they want me to deliver & ship like a worker on an assembly line.view source ↗
-
• twitter 1d neutral扎克伯格和 Alexandr Wang 在酒吧聊了两个多小时，把 Meta 押注 AI 的底牌全盘托出了。 整场聊下来，最狠的一个细节是： 去年年底新模型连影子都还没见到，小扎就敢直接拍板签下 1000 亿到 2000 亿美元的算力支票。 敢这么砸钱，不是盲目赌博，而是 Meta 在产品、人和组织上的打法完全变了： 第一，产品上做减法。 新模型 Muse Wonder 直奔 Agent 而去。但前端把所有技术包袱全甩了：不让用户挑模型，不让调思考时间。把复杂度留在后台，把结果做成确定性交付。 第二，组织上防臃肿。 超级智能实验室（MSIL）锁死在 200 人以内。借鉴的是马斯克那套极简打法：用极高的人才密度抹平层级，绝… 扎克伯格和 Alexandr Wang 在酒吧聊了两个多小时，把 Meta 押注 AI 的底牌全盘托出了。 整场聊下来，最狠的一个细节是： 去年年底新模型连影子都还没见到，小扎就敢直接拍板签下 1000 亿到 2000 亿美元的算力支票。 敢这么砸钱，不是盲目赌博，而是 Meta 在产品、人和组织上的打法完全变了： 第一，产品上做减法。 新模型 Muse Wonder 直奔 Agent 而去。但前端把所有技术包袱全甩了：不让用户挑模型，不让调思考时间。把复杂度留在后台，把结果做成确定性交付。 第二，组织上防臃肿。 超级智能实验室（MSIL）锁死在 200 人以内。借鉴的是马斯克那套极简打法：用极高的人才密度抹平层级，绝不把时间浪费在大公司的矩阵式扯皮上。 第三，方向上避开内卷。 市场上都在抢代码工具，Meta 却在攻 Agent 最难啃的两个底层能力：跨周期的主动记忆，以及长任务下的注意力聚焦。目标是从“提效插件”跃迁为“长期队友”。 第四，生态上反垄断。 明确站到“闭源寡头”的对立面，押注开源生态，要把前沿智能推向数十亿日常用户。 手握最庞大的算力资本，却用特种兵小团队在打。 这一代巨头竞争的残酷之处在于： 你既得有万亿级别下注的气魄，还得有随时砍掉官僚体制、只靠 200 人冲锋的敏捷。 https://t.co/ZUMROR5joFview source ↗
-
• twitter 1d neutralA proud and special moment 💙 Hyderabad fans, how excited are you to see your local boy and #TeamIndia Vice-Captain @TilakV9 take the field tomorrow? 🏟️ #INDvWI | @mflone_ https://t.co/ygcQ7z2xgJ A proud and special moment 💙 Hyderabad fans, how excited are you to see your local boy and #TeamIndia Vice-Captain @TilakV9 take the field tomorrow? 🏟️ #INDvWI | @mflone_ https://t.co/ygcQ7z2xgJview source ↗
-
• twitter 1d neutralPope Leo XIV has been admitted to the hospital for surgery to remove a small growth on his lung, in what is his first stay in hospital since the start of his pontificate. https://t.co/lAU1H9sOX7 https://t.co/M0vt6tmFaK Pope Leo XIV has been admitted to the hospital for surgery to remove a small growth on his lung, in what is his first stay in hospital since the start of his pontificate. https://t.co/lAU1H9sOX7 https://t.co/M0vt6tmFaKview source ↗