•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 101–125 of 1145 mentions
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• twitter 1d negativeI built a platform to market my mobile apps It turned into a SaaS Mobile apps making +$4k/m SaaS making +$1k Solve your problems first https://t.co/5DwkFEJghh I built a platform to market my mobile apps It turned into a SaaS Mobile apps making +$4k/m SaaS making +$1k Solve your problems first https://t.co/5DwkFEJghhview source ↗
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• twitter 1d negativeHaven't seen a cleaner onboarding flow 👀 https://t.co/KT0gRUwlRj Haven't seen a cleaner onboarding flow 👀 https://t.co/KT0gRUwlRjview source ↗
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• twitter 1d negativeDepression is bad. Chamath is depressed for selling Grok for 20B. https://t.co/A5sjyPSZrS Depression is bad. Chamath is depressed for selling Grok for 20B. https://t.co/A5sjyPSZrSview source ↗
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• twitter 1d negative#CJPProtest | Why would anyone ever have a problem with people protesting if they have gotten the permission to protest: @ARanganathan72, Author The Opposition here is asking for permission to protest at a 'designated' protest place and still being denied the permission - how is that fair?: @tehseenp, Political Analys… #CJPProtest | Why would anyone ever have a problem with people protesting if they have gotten the permission to protest: @ARanganathan72, Author The Opposition here is asking for permission to protest at a 'designated' protest place and still being denied the permission - how is that fair?: @tehseenp, Political Analyst #CJP #ForeignHand #Modi #NarendraModi #IndianState #IndianPolitics #ElectionCommission #KasabEnergy #TheHardFacts | @RShivshankarview source ↗
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• twitter 1d negativeGITHUB REPOS THAT LET AI EXPERIMENT, CODE AND EVOLVE. 1. SWE-agent — AI that fixes real coding issues. Give it a GitHub issue and let it navigate a codebase, edit files and attempt a solution. https://t.co/huWRLmDbfw… 2. Aider — an AI that codes directly in your repo. Let it modify multiple files, work with … GITHUB REPOS THAT LET AI EXPERIMENT, CODE AND EVOLVE. 1. SWE-agent — AI that fixes real coding issues. Give it a GitHub issue and let it navigate a codebase, edit files and attempt a solution. https://t.co/huWRLmDbfw… 2. Aider — an AI that codes directly in your repo. Let it modify multiple files, work with Git and help you debug real projects. https://t.co/HpYA3kKvjP 3. OpenHands — build an AI software developer. Give an agent a task and let it use a terminal, edit code and run commands. https://t.co/49oQTfcMsR… Tview source ↗
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• twitter 1d negativeSilent failures rarely show up in traditional monitoring @digitalocean New public preview closes that gap by detecting broken sessions without log errors and testing fixes against real session replays, shortening the loop between detection and deployment https://t.co/zwwZ3I8lR9 Silent failures rarely show up in traditional monitoring @digitalocean New public preview closes that gap by detecting broken sessions without log errors and testing fixes against real session replays, shortening the loop between detection and deployment https://t.co/zwwZ3I8lR9view source ↗
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• twitter 1d negativethis is insane: Higgsfield had a customer go from a $99/month subscription to a $6M/year deal in 6 MONTHS... if you want to understand where AI video is actually heading, watch this 3-minute clip. Alex Mashrabov says DTC companies are rebuilding their entire GTM around AI: • hundreds or thousands of ads every week … this is insane: Higgsfield had a customer go from a $99/month subscription to a $6M/year deal in 6 MONTHS... if you want to understand where AI video is actually heading, watch this 3-minute clip. Alex Mashrabov says DTC companies are rebuilding their entire GTM around AI: • hundreds or thousands of ads every week • constant creative testing • AI-generated short-form content at scale and the revenue already reflects it. just over 50% of Higgsfield's revenue now comes from businesses. less than 10% comes from mobile. his conclusion is pretty clear: they're never going to win by fighting for $20/month subscriptions. the real market is companies rebuilding how they create + distribute content.view source ↗
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• twitter 1d negativeConsider a user who fails to link a bank account while logs report no errors. @digitalocean signals flags that session within minutes, and simulations validates the fix by replaying the failed session before the release goes out https://t.co/GXXtkPYgGx Consider a user who fails to link a bank account while logs report no errors. @digitalocean signals flags that session within minutes, and simulations validates the fix by replaying the failed session before the release goes out https://t.co/GXXtkPYgGxview source ↗
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• twitter 1d negativeMAN WHAT THE FUCK 😭😭😭😭 https://t.co/9w1LKekJHk MAN WHAT THE FUCK 😭😭😭😭 https://t.co/9w1LKekJHkview source ↗
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• twitter 1d negativeI've talked to many teams that got their agent into production and then had no idea why it was misbehaving. They had dashboards. They had logs. Everything said the agent was fine. This is what they were missing: 1. Find the sessions that went wrong 2. Turn them into tests 3. Replay the fix against them before shippi… I've talked to many teams that got their agent into production and then had no idea why it was misbehaving. They had dashboards. They had logs. Everything said the agent was fine. This is what they were missing: 1. Find the sessions that went wrong 2. Turn them into tests 3. Replay the fix against them before shipping That's exactly what DigitalOcean launched today. https://t.co/24DowOggHbview source ↗
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• twitter 1d negativeRT @megadevhq: "the tighter you have to specify, that's an indicator that your primitives are not good." - @kentcdodds watch it in full: h… RT @megadevhq: "the tighter you have to specify, that's an indicator that your primitives are not good." - @kentcdodds watch it in full: h…view source ↗
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• twitter 1d negativePeople don't understand how insanely high IQ Newton was. This is a man who had no background in math or algebra until he was ~20. In <3 years, Newton got himself to the frontier, then invented calculus, thought of the inverse square law, and the theory of colors & light. He was so intellectually superior he withdrew fr… People don't understand how insanely high IQ Newton was. This is a man who had no background in math or algebra until he was ~20. In <3 years, Newton got himself to the frontier, then invented calculus, thought of the inverse square law, and the theory of colors & light. He was so intellectually superior he withdrew from the scientific community because he had no peers. Only when Halley was trying to calculate planets' motion by means of an inverse square law, he remembered he knew this old, extremely intelligent professor; he might be able to help him. When the problem was taken to Newton, he said "it's such and such." How do you know, asked Halley. "I proved it a couple of years ago." That's what led to The Principia; it was the exposition of what Newton had uncovered in his younger years and was lying around as a pile of private papers.view source ↗
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• twitter 1d negativeYour most expensive model shouldn't be doing your cheapest work. This Claude Code workflow splits the job across Opus 5.5, Sonnet 5.5, and Haiku 5.5: → Opus plans and synthesizes the final PR → Sonnet handles precise refactors in isolated worktrees → Haiku filters candidates at 340 tok/s The clever part? Haiku steps … Your most expensive model shouldn't be doing your cheapest work. This Claude Code workflow splits the job across Opus 5.5, Sonnet 5.5, and Haiku 5.5: → Opus plans and synthesizes the final PR → Sonnet handles precise refactors in isolated worktrees → Haiku filters candidates at 340 tok/s The clever part? Haiku steps in at 3 critical bottlenecks: → Before dispatch: Scans the codebase in parallel and extracts AST candidates without bloating context. → During validation: Catches malformed tool calls and false positives before Sonnet touches them. → Before synthesis: Checks that every candidate matches the target JSON schema. Haiku filters. Sonnet refactors. Opus ships. Here's how to set up the full workflow in Claude Code: Let Opus plan. Use high effort to draft workflow scripts in .claude/workflows/. Fan out Haiku. Run parallel AST sweeps across target files at low effort. Validate candidates. Use schema checks to filter false positives before generating patches. Let Sonnet refactor. Run verified changes in isolated Git worktrees to avoid edit conflicts. Keep intermediate state out of context. Use runtime variables to avoid carrying unnecessary data between agents. Cache prompt prefixes. Configure a 1-hour prompt cache TTL to reduce redundant processing where supported. The same principle applies to agent frameworks like Jev: use deterministic code for simple routing decisions, and call frontier models only when reasoning is actually needed. Author on high. Refactor on medium. Let Haiku handle the filtering. Want to try it? Paste this prompt into Claude Code: Configure my Claude Code workspace for dynamic workflows. 1. Audit ~/.claude/workflows and .claude/workflows. - Draft workflows for codebase audits, parallel migrations, and schema validation. - Use Haiku at low effort for AST sweeps. - Use Sonnet at medium effort for refactoring. - Run workers in isolated Git worktrees. 2. Review ~/.claude/settings.json for supported workflow settinview source ↗
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• twitter 1d negativeAlex Hormozi has ruined more offers than any marketer alive Millions of people read the same book and built the same page $50,000 of bonuses crossed out. "Today only $997". A guarantee in a gold badge. 12 bullet points that each start with a dollar value It worked in 2021 because the buyer had never seen it He's se… Alex Hormozi has ruined more offers than any marketer alive Millions of people read the same book and built the same page $50,000 of bonuses crossed out. "Today only $997". A guarantee in a gold badge. 12 bullet points that each start with a dollar value It worked in 2021 because the buyer had never seen it He's seen it 400 times now. Same skeleton on a dropshipping course, a trading group and some guy selling AI agents, so he smells a scam before he's read a word of yours I've written sales videos that did 8 figures and there's no value stack in any of them I ask the buyer what he thinks something like this should cost. Then I show him what doing nothing has cost him this year, in his own numbers He names the price himself, and nobody argues with his own number Open your sales page tonight If you could swap your logo for a competitor's and nothing else would need changing, the book wrote it -Pampaview source ↗
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• twitter 1d negativeThe problem no one talks about: Your AI agent grades its own homework. Ask it to fix a failing test and sometimes it just changes the test. Everything goes green. The bug ships. Has this happened to you? 👇 https://t.co/oZ2O2YlnUw The problem no one talks about: Your AI agent grades its own homework. Ask it to fix a failing test and sometimes it just changes the test. Everything goes green. The bug ships. Has this happened to you? 👇 https://t.co/oZ2O2YlnUwview source ↗
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• twitter 1d negativeToday, we’re launching international payments to 190+ countries, over the SWIFT network. With this launch, SWIFT officially becomes a new payment rail alongside our existing ones: ACH, wires, checks, cards, Real-Time Payments (RTP), and FedNow (preview coming soon). International payments follow our standards for all… Today, we’re launching international payments to 190+ countries, over the SWIFT network. With this launch, SWIFT officially becomes a new payment rail alongside our existing ones: ACH, wires, checks, cards, Real-Time Payments (RTP), and FedNow (preview coming soon). International payments follow our standards for all payment rails: ⚪ They are sent or received from any account. ⚪ They go through state transitions with full programmatic & Dashboard observability ⚪ They allow you to handle all edge cases. ⚪ They let you charge fees through profiles - or programmatically. But we also needed to support the complexity that’s inherent in international payments: 🇨🇦 For each payment, your customers can see transaction-level data on exchange rates, fees, expected recipient amounts, and payment status from the time it is initiated through completion. 🇬🇧 Each payment starts with a quote that locks the exchange rate and shows exactly how much will be sent, what the fees are, and how much the recipient will receive in their local currency. 🇮🇱 Your customer sees and approves those terms before the payment is sent. 🇩🇪 International payments can fail in ways domestic ones don't. Each scenario is processed as a distinct, structured event via the API, so your product can guide the customer on what to do next. More here: https://t.co/35GfW7k9VOview source ↗
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• twitter 1d negativeRAG has evolved beyond retrieving documents and passing them to an LLM. Different problems need different retrieval strategies: Naive RAG: Basic document Q&A Hybrid RAG: Combine keyword and semantic search Reranking: Improve retrieval relevance Graph RAG: Connect entities and relationships Multimodal RAG: Work across… RAG has evolved beyond retrieving documents and passing them to an LLM. Different problems need different retrieval strategies: Naive RAG: Basic document Q&A Hybrid RAG: Combine keyword and semantic search Reranking: Improve retrieval relevance Graph RAG: Connect entities and relationships Multimodal RAG: Work across text, images, charts and PDFs Agentic RAG: Let agents decide what to retrieve and when Multi-agent RAG: Split complex research across specialized agents The important skill isn't learning every RAG architecture. It's knowing which one your problem actually needs. Rview source ↗
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• twitter 1d negativeUPDATE: I can confirm that the Ledger supply chain is compromised in Europe as well. @Ledger should initiate an immediate product recall to protect users. I just purchased a second device from a different Mediamarkt location today, recorded the unboxing process, and discovered spyware once again (video linked in the s… UPDATE: I can confirm that the Ledger supply chain is compromised in Europe as well. @Ledger should initiate an immediate product recall to protect users. I just purchased a second device from a different Mediamarkt location today, recorded the unboxing process, and discovered spyware once again (video linked in the second tweet). The device was compromised in the exact same manner, featuring identical modifications (such as additional cables and an LTE module). This indicates its a widespread issue rather than an isolated incident, potentially affecting Ledger inventory across MediaMarkt and Saturn stores throughout Europe (comprising over 1,000 stores across 11 countries). My initial hypothesis was that these devices were returns that looked unopened to the employees and were just sold again as new however, a MediaMarkt employee confirmed that the device I purchased was not a return, and that returned Ledgers are sent directly back to the manufacturer rather than resold. Store records show the inventory originated from Aqipa GmbH. While Ledger's CTO was unsure if Aqipa serves as the direct distributor between Ledger and MediaMarkt, it appears to be the case. Given that Aqipa distributes across Europe, any physical retail store receiving stock through them may be at risk. I sent the first ledger to mark and the second one is going to ledger now, so that they can analyse it. If you purchased a ledger from anyone other than the official ledger store, make sure to check your device!!view source ↗
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• twitter 1d negativea designer has used 2.24B tokens in a day i hate this world https://t.co/ddarN1HSAD a designer has used 2.24B tokens in a day i hate this world https://t.co/ddarN1HSADview source ↗
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• twitter 1d negativeSam Altman: “For every 38,000 ChatGPT queries, that’s the same amount of water used to produce a single almond in California.” “People eating 12 almonds at a time don’t feel like they’re doing something horrible from a water perspective.” “Modern, very large data centers use roughly the same amount of water as an off… Sam Altman: “For every 38,000 ChatGPT queries, that’s the same amount of water used to produce a single almond in California.” “People eating 12 almonds at a time don’t feel like they’re doing something horrible from a water perspective.” “Modern, very large data centers use roughly the same amount of water as an office building.” “That’s been a robust meme and difficult to disprove, but I don’t think it holds up to any scrutiny.”view source ↗
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• twitter 1d negative"Why is China so bad at football?" https://t.co/gTMWfRSiCE "Why is China so bad at football?" https://t.co/gTMWfRSiCEview source ↗
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• twitter 1d negativeif you've spent any money on audio plugins, i've got bad news for you son https://t.co/88ySpfjAmj if you've spent any money on audio plugins, i've got bad news for you son https://t.co/88ySpfjAmjview source ↗
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• twitter 1d negativeWe’re hiring. We want to build the next Warner Bros. From India. We know how that sounds. No job titles, no fixed roles. Tell us what you can’t stop thinking about and we’ll build the role around it. Send a 1-minute video. Why you want in, and the one story you’re dying to tell. Email: hello@wynngrid.com We’re hiring. We want to build the next Warner Bros. From India. We know how that sounds. No job titles, no fixed roles. Tell us what you can’t stop thinking about and we’ll build the role around it. Send a 1-minute video. Why you want in, and the one story you’re dying to tell. Email: hello@wynngrid.comview source ↗
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• twitter 1d negativemore markets to explore, more charts to stare at. my sleep schedule was already finished anyway 😭 https://t.co/3uyo1YPjjh more markets to explore, more charts to stare at. my sleep schedule was already finished anyway 😭 https://t.co/3uyo1YPjjhview source ↗
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• twitter 2d negativeA tragic day for Elon Musk. Thousands of his most loyal reply guys went offline at once. 💔 https://t.co/WtlRkxk6qV A tragic day for Elon Musk. Thousands of his most loyal reply guys went offline at once. 💔 https://t.co/WtlRkxk6qVview source ↗