•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
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active days
15
mentions
Showing 601–625 of 4998 mentions
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• twitter 2d positiveRAVENS PICK OFF TUA FOR THE WIN IN OT 😳🔥 (via @NFL) https://t.co/eXnjWhaK8x RAVENS PICK OFF TUA FOR THE WIN IN OT 😳🔥 (via @NFL) https://t.co/eXnjWhaK8xview source ↗
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• twitter 2d positiveKYLE HAMILTON PICKS IT OFF! @RAVENS WIN! https://t.co/CbkK3CiuUN KYLE HAMILTON PICKS IT OFF! @RAVENS WIN! https://t.co/CbkK3CiuUNview source ↗
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• twitter 2d positiveHad a good time! #eezyball2026 https://t.co/npeQ74YvMw Had a good time! #eezyball2026 https://t.co/npeQ74YvMwview source ↗
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• twitter 2d positiveI don't understand why people don't just lock in on YouTube My faceless YouTube channels make me $120,000+/mo (long form only) There is 𝗻𝗼 𝗹𝘂𝗰𝗸 involved. Let me send you a free course on exactly how to do it. Just Retweet and Comment "YouTube" (must follow) https://t.co/XGbEcdb3g6 I don't understand why people don't just lock in on YouTube My faceless YouTube channels make me $120,000+/mo (long form only) There is 𝗻𝗼 𝗹𝘂𝗰𝗸 involved. Let me send you a free course on exactly how to do it. Just Retweet and Comment "YouTube" (must follow) https://t.co/XGbEcdb3g6view source ↗
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• twitter 2d positiveThe Big Blob of Compute, written by Dario in 2017, is a much better elaboration of the famous bitter lesson (which was actually written in 2019). What I loved: - Characterisation of efficient algorithms as "coding", not AI as those efficiencies overfit to a particular situation and don't generalize - View of compute-w… The Big Blob of Compute, written by Dario in 2017, is a much better elaboration of the famous bitter lesson (which was actually written in 2019). What I loved: - Characterisation of efficient algorithms as "coding", not AI as those efficiencies overfit to a particular situation and don't generalize - View of compute-with-knobs as a sponge that absorbs what environment throws at it and what training objective asks it to compute - Bet that any sufficiently general architecture will do, with magic being in data and training objective - Training on a distribution leading to better outcomes vs training on a single instance of task (which leads to overfitting) It's amazing how prescient thoughts in this doc turned out to be. Strongly, strongly recommend to read 👇view source ↗
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• twitter 2d positiveTHE BEST AI AGENT IN 2026 USES 4 MODELS. Not one. Opus 5.5 for the hard thinking. Sonnet 5.5 for the building. Haiku 5.5 for the volume. Jev for the yes or no decisions. Picking which model does which job used to take an engineer. Now Opus 5.5 does it for you. B THE BEST AI AGENT IN 2026 USES 4 MODELS. Not one. Opus 5.5 for the hard thinking. Sonnet 5.5 for the building. Haiku 5.5 for the volume. Jev for the yes or no decisions. Picking which model does which job used to take an engineer. Now Opus 5.5 does it for you. Bview source ↗
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• twitter 2d positiveday 217 of building https://t.co/OjctPloOm7 in public caught a cold somewhere, feeling a bit foggy, but still building! - working on in-app model inference, a few issues to solve - polishing the first-session UI/UX - marketing routine - carousels, influencer outreach let's go! https://t.co/abDnaZhrnE day 217 of building https://t.co/OjctPloOm7 in public caught a cold somewhere, feeling a bit foggy, but still building! - working on in-app model inference, a few issues to solve - polishing the first-session UI/UX - marketing routine - carousels, influencer outreach let's go! https://t.co/abDnaZhrnEview source ↗
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• twitter 2d positivegStar Been checking out SuperEngine on Startale, and this one looks pretty interesting SuperStake. fun brings an interesting idea to the table play games, build your own, and earn from what you create. - Explore games built with SuperEngine - Create your own game - Earn from your creations - Top 15 creators get wee… gStar Been checking out SuperEngine on Startale, and this one looks pretty interesting SuperStake. fun brings an interesting idea to the table play games, build your own, and earn from what you create. - Explore games built with SuperEngine - Create your own game - Earn from your creations - Top 15 creators get weekly recognition The Builders Challenge features a $2K prize pool, and creators can keep 40% of their game's weekly profit, according to the information shared. You can actually build something of your own and share it with the community. I'm curious to see what people create with SuperEngine If you've been thinking about building a game, this might be worth checking out. ⚡ Explore and build on Startale.view source ↗
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• twitter 2d positivePayHip vs Shopify for a first digital product: 💸 PayHip → no monthly fee, 5% per sale. On a $10 planner that's 50 cents before processing 🏪 Shopify → $39/mo ($29 billed yearly) but it earns that when you add physical products, stock, and shipping Already on Shopify? Use its free digital delivery app before opening a … PayHip vs Shopify for a first digital product: 💸 PayHip → no monthly fee, 5% per sale. On a $10 planner that's 50 cents before processing 🏪 Shopify → $39/mo ($29 billed yearly) but it earns that when you add physical products, stock, and shipping Already on Shopify? Use its free digital delivery app before opening a second store. https://t.co/0Ua8NH10of #PayHip #Shopify #DigitalProducts #Ecommerce #SideHustleview source ↗
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• twitter 2d positiveFound this gem on reddit Merge multiple internet connections for a single download Meet Plexo - https://t.co/QBMeRHftyi https://t.co/ulXAuoJYQD Found this gem on reddit Merge multiple internet connections for a single download Meet Plexo - https://t.co/QBMeRHftyi https://t.co/ulXAuoJYQDview source ↗
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• twitter 2d positive@IND_is_Here I have 17x more CPU throughput than you and I'm still often limited by compute. Sorry bud, you're not pushing your 3 year old "good CPU" hard enough https://t.co/hDisAHFiuY @IND_is_Here I have 17x more CPU throughput than you and I'm still often limited by compute. Sorry bud, you're not pushing your 3 year old "good CPU" hard enough https://t.co/hDisAHFiuYview source ↗
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• twitter 2d positiveBest accounts to follow from each frontier lab to stay constantly up to date Anthropic @karpathy -must-follow account for AI; recently joined Anthropic @bcherny- Claude Code creator, always shares great tips @trq212 also a Claude Code developer; writes amazing articles on CC OpenAI @polynoamial- works on reasoning re… Best accounts to follow from each frontier lab to stay constantly up to date Anthropic @karpathy -must-follow account for AI; recently joined Anthropic @bcherny- Claude Code creator, always shares great tips @trq212 also a Claude Code developer; writes amazing articles on CC OpenAI @polynoamial- works on reasoning research, shares a lot of technical details @gabriel1- Sora developer, great career path @jxnlco - works on dev experience, shares a lot about Codex Google AI @OfficialLoganK- all the major Google Gemini and AI Studio updates @ammaar- product and design; shares great things about vibe-coding in Google AI Studio @fofrAI- cool use cases for generative models Cursor @leerob- the loudest voice behind Cursor updates @ericzakariasson- shares great insights on using Cursor @mntruell - Cursor’s CEO; major releases and usage updates xAI @ai_explorer25- ex-MSFT, covers all ai content and free resources @milichab - recently joined xAI, shares updates on Grok @skcd42 - also covers major Grok releasesview source ↗
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• twitter 2d positive19 year old Japanese student built a trading bot with Claude Code in 2 days. Used his iPad as a second monitor. First night: $6,732 profit. Starting capital: $68. Total profit so far: $750,000. [ 𝐍𝐨𝐭𝐞: 𝐅𝐨𝐥𝐥𝐨𝐰 𝐌𝐞 @monicaa_AI 𝐅𝐨𝐫 𝐢𝐧𝐬𝐭𝐚𝐧𝐭𝐥𝐲 𝐚𝐮𝐭𝐨 𝐃𝐌] Here's how it works👇 The bot scans over 50 markets simultaneously. … 19 year old Japanese student built a trading bot with Claude Code in 2 days. Used his iPad as a second monitor. First night: $6,732 profit. Starting capital: $68. Total profit so far: $750,000. [ 𝐍𝐨𝐭𝐞: 𝐅𝐨𝐥𝐥𝐨𝐰 𝐌𝐞 @monicaa_AI 𝐅𝐨𝐫 𝐢𝐧𝐬𝐭𝐚𝐧𝐭𝐥𝐲 𝐚𝐮𝐭𝐨 𝐃𝐌] Here's how it works👇 The bot scans over 50 markets simultaneously. Syncs live BTC data from Binance every second. Spots price errors before humans even notice. The edge is pure speed + pattern recognition. While traders stare at charts trying to predict the next move, his bot is already executing on mispricing across dozens of markets. No guessing. No emotions. No hesitation. Just Claude Code logic finding gaps that close in seconds. He built the entire system in 48 hours: → Claude Code handles the trading logic → Binance API feeds real-time BTC data → iPad displays multi-market monitoring → Executes trades when arbitrage windows open The system runs 24/7. Every price dislocation = profit opportunity. Most people are still trading manually, refreshing charts, second-guessing entries. Meanwhile this 19 year old engineering student turned $68 into $750K by letting Claude Code do what humans can't: process 50 markets instantly and execute without fear. Why are people still trading manually? I'm giving away the exact Claude Code setup for free. 24 hours only. To get it 👇 1️⃣ Comment " Claude " 2️⃣ Like and Repost 3️⃣ Follow @monicaa_AI (so I can send it via DM)view source ↗
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• twitter 2d positiveWant to create beautiful stacked bar charts using Python? With Pygal, you can visualize data trends and compare multiple categories across different years with just a few lines of code. In this example, we compare the popularity of Python, Java, and JavaScript from 2022 to 2026 using a stacked bar chart. What you wi… Want to create beautiful stacked bar charts using Python? With Pygal, you can visualize data trends and compare multiple categories across different years with just a few lines of code. In this example, we compare the popularity of Python, Java, and JavaScript from 2022 to 2026 using a stacked bar chart. What you will learn: Create stacked bar charts with Pygal Add custom titles and axis labels Visualize multiple datasets in one chart Display SVG charts directly in Jupyter Notebookview source ↗
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• twitter 2d positiveProduct engineer, 16 years iOS experience at companies like Rumble, Workday, Imgur and Docusign, looking for my next gig. Please forward my site and resume if you know someone good hiring remote 🙏 https://t.co/fwTd685pay Product engineer, 16 years iOS experience at companies like Rumble, Workday, Imgur and Docusign, looking for my next gig. Please forward my site and resume if you know someone good hiring remote 🙏 https://t.co/fwTd685payview source ↗
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• twitter 2d positiveYour 19th birthday party might have been the best VC portfolio nobody knew existed. 😂 Your 19th birthday party might have been the best VC portfolio nobody knew existed. 😂view source ↗
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• twitter 2d positiveFigma Make got my vote, that layout looks clean enough I might actually check my balance Figma Make got my vote, that layout looks clean enough I might actually check my balanceview source ↗
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• twitter 2d positiveGot early access to “Milepost,” which is launching today!!! 🚗 Trust me, if you love driving, this app is for you! And just look at that onboarding animation! https://t.co/oztCXkjAbD Got early access to “Milepost,” which is launching today!!! 🚗 Trust me, if you love driving, this app is for you! And just look at that onboarding animation! https://t.co/oztCXkjAbDview source ↗
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• twitter 2d positiveI’m releasing NeuroRoute 1024, an update to my old Neuroute project. A project written in C11 that combines a deterministic routing engine with a multi-language development toolchain. The repository contains two independent components. NeuroRoute Core is a lightweight routing and spatial-matching engine built around:… I’m releasing NeuroRoute 1024, an update to my old Neuroute project. A project written in C11 that combines a deterministic routing engine with a multi-language development toolchain. The repository contains two independent components. NeuroRoute Core is a lightweight routing and spatial-matching engine built around: * A graph of up to 1,024 nodes with weighted connections, activation thresholds, and deterministic route selection. * Exact 1,024-bit spatial matching using Hamming distance across 16 × 64-bit words. * Synaptic activity counters, fallback routing, and atomic synchronization for shared state. * A standalone C library that can be integrated into other applications. NeuroRoute DevTools is a command-line development environment supporting eight programming languages: C, C++, Python, Rust, JavaScript, Go, Zig, and Java. It provides a consistent interface for detecting projects, identifying installed toolchains, initializing projects, building, running, testing, and cleaning. Instead of introducing another compiler or translating code between languages, DevTools works directly with the existing toolchains, including GCC, Clang, Cargo, Node.js, npm, Go, Zig, and the Java JDK. Project detection examines source files and manifests, prioritizes explicit project configurations, and reports ambiguous results rather than guessing. Process execution uses POSIX APIs without passing commands through a shell. Missing toolchains and unsupported project configurations are reported explicitly. Both components are independently buildable and maintained in a single repository, with their own source code, tests, and documentation. The release includes Linux validation using GCC and Clang, static analysis, AddressSanitizer and UndefinedBehaviorSanitizer testing, source-integrity checks, and architecture documentation. Rust and Zig integration is implemented but was not exercised with installed toolchains in the local validation environment. The objective is to provview source ↗
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• twitter 2d positiveSkill Issue. You gotta get GOOD CPUs like my i9 14900HX. But seriously, what CPU do you and your blacksmith runners have? Skill Issue. You gotta get GOOD CPUs like my i9 14900HX. But seriously, what CPU do you and your blacksmith runners have?view source ↗
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• twitter 2d positiveWHY DOES THIS WORK 😭 this app made $300K last month by giving people wallpapers you open the app, pick a background, ringtone, or theme, and use it to customize your phone none of it makes your phone work better it just makes it feel more personal people will pay for things simply because they make something they… WHY DOES THIS WORK 😭 this app made $300K last month by giving people wallpapers you open the app, pick a background, ringtone, or theme, and use it to customize your phone none of it makes your phone work better it just makes it feel more personal people will pay for things simply because they make something they use every day feel more like theirsview source ↗
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• twitter 2d positiveThe best part of Japan is the Japanese. The best part of Japan is the Japanese.view source ↗
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• twitter 2d positiveHOT TAKE: the only way to monetize personal AI agents will be via transaction fees. By process of elimination: Subscriptions are a no-go because they introduce friction to adoption. If you’re selling personal AI, then you want to lower the barrier to getting users. Users are doubly important: they drive both revenue … HOT TAKE: the only way to monetize personal AI agents will be via transaction fees. By process of elimination: Subscriptions are a no-go because they introduce friction to adoption. If you’re selling personal AI, then you want to lower the barrier to getting users. Users are doubly important: they drive both revenue and data. Data is crucial to making a best-in-class AI product… So you need many users, a lot of data, and borderline-negative friction to get as many of them as possible. That leaves ads and transactions. The problem with ads is that the value proposition of a personal agent comes from a user trusting that the agent is THEIR representative. Ads are in the interest of the platform/advertiser. When recommendations are influenced by advertisers, consumers become skeptical of search results. Google solved this by showing 10 organic results per page, and 1-4 ads at the top. A personal agent serves you 1 to 5 options through a chat interface… space is more limited, and attention gets routed to fewer results. It’s unlikely that users will re-ask the agent for more results. How many times would you re-ask your assistant for new results until you get tired of waiting? Chances are you will open a google search by then. So users need to trust that your results are unbiased. That only leaves transactions open. The intriguing part about transactions is that they bring a two-pronged challenge. Agents may be capable of searching the web, but what infrastructure exists to show them the best results for their searches? None yet. I predict that a commerce network built to aggregate merchants will emerge as agent transactions grow. This network will funnel agentic expenditures through a single layer. This is the market’s best solution: it maximizes transaction volume, allows consumer AI to monetize, and aligns incentives for both consumers and businesses. For consumers, the network provides agents with hyper-personalized searches. It borrows merchant historicview source ↗
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• twitter 2d positiveNikola Jokić is 5-for-5 from the field 💯 He's got 14 PTS after 1Q in preseason action! https://t.co/hHzK8gcKml Nikola Jokić is 5-for-5 from the field 💯 He's got 14 PTS after 1Q in preseason action! https://t.co/hHzK8gcKmlview source ↗
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• twitter 2d positiveMike Evans really didn't know it was Trevon Diggs 🤣 "I didn't know that was him. ... I was like 'Who are you?'" https://t.co/cPtWA8piXu Mike Evans really didn't know it was Trevon Diggs 🤣 "I didn't know that was him. ... I was like 'Who are you?'" https://t.co/cPtWA8piXuview source ↗