•twitter15877
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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 926–950 of 4998 mentions
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• twitter 4d positiveA billionaire literally explained how the entire economy works in 42 minutes better than most $200,000 MBA programs ever cloud. https://t.co/RI1fUv2nCx A billionaire literally explained how the entire economy works in 42 minutes better than most $200,000 MBA programs ever cloud. https://t.co/RI1fUv2nCxview source ↗
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• twitter 4d positive@addyosmani awesome consumer first benefit! @addyosmani awesome consumer first benefit!view source ↗
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• twitter 4d positiveCursor Pro 又能免费领了！🔥 这次不是学生专属，全球用户都能报名！ MLH 正在举办 Global Hack Week（10 月 9–15 日），活动任务中提到会通过邮件发放 Cursor Pro 兑换码。 领取步骤： ① 注册 MyMLH，报名活动 ② 等待官方邮件领取兑换码 ③ 前往 Cursor Billing 兑换 Cursor Pro 正常订阅 $20/月。 有成功领到的 X 友吗，评论区来聊聊。 🤣 Cursor Pro 又能免费领了！🔥 这次不是学生专属，全球用户都能报名！ MLH 正在举办 Global Hack Week（10 月 9–15 日），活动任务中提到会通过邮件发放 Cursor Pro 兑换码。 领取步骤： ① 注册 MyMLH，报名活动 ② 等待官方邮件领取兑换码 ③ 前往 Cursor Billing 兑换 Cursor Pro 正常订阅 $20/月。 有成功领到的 X 友吗，评论区来聊聊。 🤣view source ↗
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• twitter 4d positiveNobody pays you if nobody knows you exist. Two editors. Similar skills. Editor A keeps improving in private and waits to be discovered. Editor B shares the work, posts consistently, and shows people how they think. Six months later, Editor B has more opportunities. Not necessarily because they're better at editin… Nobody pays you if nobody knows you exist. Two editors. Similar skills. Editor A keeps improving in private and waits to be discovered. Editor B shares the work, posts consistently, and shows people how they think. Six months later, Editor B has more opportunities. Not necessarily because they're better at editing, but because people know what they can do. Talent gets you the skill. Visibility gets you noticed. Don't just do the work. Show it. Your next client might already be watching. 👀view source ↗
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• twitter 4d positiveMore experiments with better feedback beat perfect plans every time. What experiment are you running this week? More experiments with better feedback beat perfect plans every time. What experiment are you running this week?view source ↗
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• twitter 4d positiveSMF Works is a small human–AI lab (Pittsboro, NC) that publishes tools, write-ups, and experiments around local and hybrid agents — especially Hermes Agent, OpenClaw, and Linux/Omarchysetups. Practitioner notes live on The Clearinghouse Log. https://t.co/0DTUmpE1jr SMF Works is a small human–AI lab (Pittsboro, NC) that publishes tools, write-ups, and experiments around local and hybrid agents — especially Hermes Agent, OpenClaw, and Linux/Omarchysetups. Practitioner notes live on The Clearinghouse Log. https://t.co/0DTUmpE1jrview source ↗
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• twitter 4d positive@woutstns @t3dotcodes @jullerino We appreciate you immensely 🫡 @woutstns @t3dotcodes @jullerino We appreciate you immensely 🫡view source ↗
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• twitter 4d positiveGood lord! What is happening in there? A Durable Native Agent. A— A VFS, bash shell, coding agent, metro bundler, and a whole running iOS simulator… At this time of day? Localized entirely within a Durable Object?! https://t.co/jctt2QXJso Good lord! What is happening in there? A Durable Native Agent. A— A VFS, bash shell, coding agent, metro bundler, and a whole running iOS simulator… At this time of day? Localized entirely within a Durable Object?! https://t.co/jctt2QXJsoview source ↗
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• twitter 4d positiveRemembering Loknayak Jayaprakash Narayan on his birth anniversary. His appeal transcended generations. He inspired people to believe that public life could be an instrument of national renewal. His fearless voice during the Emergency was also noteworthy. Loknayak JP also was passionate about ensuring good governance a… Remembering Loknayak Jayaprakash Narayan on his birth anniversary. His appeal transcended generations. He inspired people to believe that public life could be an instrument of national renewal. His fearless voice during the Emergency was also noteworthy. Loknayak JP also was passionate about ensuring good governance and reaching those who are at the margins of society. We remain committed to fulfilling his ideals as we work to build a Viksit Bharat.view source ↗
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• twitter 4d positivei tried building a digital product business with ai in 10 days. here are the results. the goal was simple: → create a brand-new digital product → sell it for $17 → run meta ads → generate $1,000 in 10 days the entire product, sales page, and ad creatives were built with the help of ai. the final results: • total reve… i tried building a digital product business with ai in 10 days. here are the results. the goal was simple: → create a brand-new digital product → sell it for $17 → run meta ads → generate $1,000 in 10 days the entire product, sales page, and ad creatives were built with the help of ai. the final results: • total revenue: $623 • ad spend: roughly $577 • net profit: $46 • target: $1,000 • target achieved: no but the real lessons were worth more than the numbers. 1. you don't need months to launch the product was a digital product library containing templates, resources, ai tools, and assets for people building online businesses. instead of spending months perfecting everything, the creator built the product, created a sales page, and launched ads. the goal wasn't perfection. it was testing a real offer in the market. 2. the product isn't the entire business you can have a great product and still struggle to sell it. you need the right offer, positioning, sales page, and marketing strategy to get people interested. attention matters just as much as the product itself. 3. upsells can change the economics the $17 product wasn't the only source of revenue. buyers could upgrade to a $49 digital product course or a $97 community. during the early days, these upsells contributed significantly to total sales. the lesson: don't focus only on getting customers. think about how you can deliver additional value to customers who want more. 4. don't scale ads blindly one of the biggest mistakes was increasing ad budgets and adding five new creatives around the same time. performance dropped. the creator learned to avoid making too many changes simultaneously, test systematically, and increase budgets gradually when an ad set performs well. 5. track profit, not just revenue $623 in sales sounds impressive for a new product. but after advertising costs, the profit was only $46. that's the difference between generating revenue and building a profitable business. aview source ↗
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• twitter 4d positiveyou’re building in tech, let’s connect. 👇 👨💻 Developers 🤖 AI builders 🚀 SaaS founders 💡 Indie hackers 📱 App builders 📈 Startup people you’re building in tech, let’s connect. 👇 👨💻 Developers 🤖 AI builders 🚀 SaaS founders 💡 Indie hackers 📱 App builders 📈 Startup peopleview source ↗
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• twitter 4d positiveGOOD SUNDAAAAYYYY BUILDERS! ☀️ Day 15/30! Looking to #connect with more people into: → AI → Tech → Coding → SaaS → App development → Building & shipping GOOD SUNDAAAAYYYY BUILDERS! ☀️ Day 15/30! Looking to #connect with more people into: → AI → Tech → Coding → SaaS → App development → Building & shippingview source ↗
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• twitter 4d positiveElon Musk on WHY SpaceXSI acquired Cursor: “In order to create a compelling SI, you need a LOT of training data and need to SOLVE CODING. As far as I can tell, three organizations that had enough coding training data: OpenAI, Anthropic, Cursor (and, arguably perhaps Google) but you ABSOLUTELY have-to-have the DAT… Elon Musk on WHY SpaceXSI acquired Cursor: “In order to create a compelling SI, you need a LOT of training data and need to SOLVE CODING. As far as I can tell, three organizations that had enough coding training data: OpenAI, Anthropic, Cursor (and, arguably perhaps Google) but you ABSOLUTELY have-to-have the DATA in order to train an effective coding SI. if you can't do CODING, your SI is not going to be very useful. There’s a LOT of Talented people at Cursor. basically for success in SI you need: Data, Talent & Compute..and you also need a good Enterprise sales team. Cursor also had that good enterprise sales team with Relationships with THOUSANDS of companies. Those were VERY SIgnificant advantages.”view source ↗
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• twitter 4d positiveAfter using Opus 5.5 Extensively for the last two weeks building a complete SaaS app end to end: Medium ships a lot of bugs, but it's fast and really good most of the time. Ultracode is extremely good, but too over the top. And makes everything take forever. After using Opus 5.5 Extensively for the last two weeks building a complete SaaS app end to end: Medium ships a lot of bugs, but it's fast and really good most of the time. Ultracode is extremely good, but too over the top. And makes everything take forever.view source ↗
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• twitter 4d positiveLLM Evaluation Techniques Every AI Engineer Should Know ➣ Golden Dataset Testing (curated input → expected output pairs, run on every change) ➣ LLM-as-a-Judge (a stronger model grades outputs against a clear rubric) ➣ Pairwise Comparison (show 2 outputs, pick the better one. More reliable than 1–10 scores) ➣ Re… LLM Evaluation Techniques Every AI Engineer Should Know ➣ Golden Dataset Testing (curated input → expected output pairs, run on every change) ➣ LLM-as-a-Judge (a stronger model grades outputs against a clear rubric) ➣ Pairwise Comparison (show 2 outputs, pick the better one. More reliable than 1–10 scores) ➣ Reference-Based Metrics (exact match, BLEU, ROUGE, semantic similarity for known answers) ➣ RAG Evaluation (context relevance + faithfulness + answer correctness)view source ↗
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• twitter 4d positiveOpen tools like Umi-OCR and copilot-pull-request-reviewer turn one model into a repeatable creator workflow. The HF releases that ship practical stacks are the only ones that compound. Open tools like Umi-OCR and copilot-pull-request-reviewer turn one model into a repeatable creator workflow. The HF releases that ship practical stacks are the only ones that compound.view source ↗
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• twitter 4d positivePC says: “focusing on making a product better is, I think, going to become a more effective strategy for companies. This is good!” Product better for who? I think in the next decade you’ll have to make it better for agents if not you’ll perish quickly as an option So AX matters a ton PC says: “focusing on making a product better is, I think, going to become a more effective strategy for companies. This is good!” Product better for who? I think in the next decade you’ll have to make it better for agents if not you’ll perish quickly as an option So AX matters a tonview source ↗
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• twitter 4d positiveDo you remember the 2 seconds everyone thought CLIs were the best interface for coding agents That was less than a year ago btw Do you remember the 2 seconds everyone thought CLIs were the best interface for coding agents That was less than a year ago btwview source ↗
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• twitter 4d positiveOn RoboCasa GR-1, stretching visual context from 0.0 to 19.2 seconds lifts success from 63.3% to 78.7%. A bidirectionally pretrained start shows no net gain. Real-time robot control needs enough history to see motion and task progress, but chewing that history can make the action late. Wei Huang, Song Han and colleagu… On RoboCasa GR-1, stretching visual context from 0.0 to 19.2 seconds lifts success from 63.3% to 78.7%. A bidirectionally pretrained start shows no net gain. Real-time robot control needs enough history to see motion and task progress, but chewing that history can make the action late. Wei Huang, Song Han and colleagues treat that as a model-system problem they call Long-WAM. They first train causal prediction on robot and egocentric video with no action labels, then keep that history-to-future structure when adapting into a world-action model. Streaming observation encoding and async execution keep future prediction on an RTX 5090 at 107.4 ms per action chunk. On Unitree G1 and YAM, dynamic cup stacking hits 95% success where Pi0.5 and Fast-WAM go 0 for 20. History helps only when the video backbone was pretrained to use it. https://t.co/TY5u0I9GUlview source ↗
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• twitter 4d positiveAre you building anything? Let me know, I would love to share it on Abduzeedo. Are you building anything? Let me know, I would love to share it on Abduzeedo.view source ↗
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• twitter 4d positiveI very much look forward to seeing more startups (not necessarily venture backed)! Most will be tiny serving niches but customers will love the varieties like we do with restaurants. GTM will be key for all though and it’ll probably be an expansion of the founders’ network. I very much look forward to seeing more startups (not necessarily venture backed)! Most will be tiny serving niches but customers will love the varieties like we do with restaurants. GTM will be key for all though and it’ll probably be an expansion of the founders’ network.view source ↗
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• twitter 4d positiveA company will appear in the next two years with something new that makes LLMs look like 486 processors. https://t.co/HhTsY42fL3 A company will appear in the next two years with something new that makes LLMs look like 486 processors. https://t.co/HhTsY42fL3view source ↗
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• twitter 4d positiveAn Anthropic Engineer Just Revealed How Advanced Users Are Unlocking Claude Code’s Full Potential: “Most people use Claude Code like a search engine. Power users are building entire swarms of AI agents that learn, adapt, and improve themselves.” “I’m running 100+ agents in continuous loops, with Chief Agents and PM … An Anthropic Engineer Just Revealed How Advanced Users Are Unlocking Claude Code’s Full Potential: “Most people use Claude Code like a search engine. Power users are building entire swarms of AI agents that learn, adapt, and improve themselves.” “I’m running 100+ agents in continuous loops, with Chief Agents and PM Agents coordinating the entire operation.” In a 30-minute workshop, an Anthropic engineer explains how to build advanced Claude Code workflows while keeping costs under control. This could teach you more than another $500 vibe-coding course. Watch it today and discover how the next generation of AI-powered workflows is being built.view source ↗
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• twitter 4d positiveeverything is becoming slopcore elon musk just said some of @anabology’s AI generated music videos are among the top 10-20 best he’s ever seen. that’s a pretty insane statement considering where this technology was even a year ago anabology’s The Clodyssey has already pulled over 6.2M views across two uploads, while … everything is becoming slopcore elon musk just said some of @anabology’s AI generated music videos are among the top 10-20 best he’s ever seen. that’s a pretty insane statement considering where this technology was even a year ago anabology’s The Clodyssey has already pulled over 6.2M views across two uploads, while characters like Claudia, Jean Phil and Derek Mercer are showing how quickly entirely synthetic personalities can develop their own identities, lore and communities i think people are seriously underestimating how big this gets. we’re moving from AI being a tool for generating content to AI becoming the foundation of an entirely new entertainment ecosystem the economics are completely different. a single creator can now produce something that would’ve previously required an entire studio, and once a character catches on, thousands of other people can remix it, expand its universe and distribute it organically the really interesting part is that the characters themselves can become bigger than the people who created them music, memes, influencers, animation, internet culture. everything is slowly converging into slopcore and the quality is only getting betterview source ↗
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• twitter 4d positiveLow usage is not automatically bad news. For some products, customers get the most value when they can solve the problem quickly, avoid needing the product often, or only return when the same situation comes up again. So before worrying about engagement, ask what customer behaviour would actually show that your prod… Low usage is not automatically bad news. For some products, customers get the most value when they can solve the problem quickly, avoid needing the product often, or only return when the same situation comes up again. So before worrying about engagement, ask what customer behaviour would actually show that your product did its job. Daily usage might matter for one product. For another, task completion, renewal, recommendation or returning when needed could tell you far more. 👉 Follow @bMightie for more founder intelligence for idea to early revenue businesses to build and grow with better clarity and confidence for takeoff.view source ↗