科技推文精选 - 2026-06-01

2026年6月1日科技每日简报

Today's top tech conversations are led by @yacineMTB, whose post about 'Please do this literally every...' garnered the highest engagement. Key themes trending across the top stories include billion, device, first, compute, nvidia. The community is actively discussing recent developments in AI, engineering practices, and startup strategies.

1. yacineMTB (Group Score: 323.2 | Individual: 62.6)

Cluster: 10 tweets | Engagement: 5400 (Avg: 307) | Type: Tech

Please do this literally everywhere. Please release several billion of these actually just everywhere. We covered the night sky with satellites, we taught sand to speak. Why are we still dealing with this scourge??\n\nQT @BullTheoryio: BREAKING: Google is planning to release 32 million mosquitoes across Florida and California.

The company has asked the EPA for permission to proceed, with the public given until June 5 to respond.

The mosquitoes are infected with Wolbachia bacteria, which stops them from reproducing and slowly collapses the wild population from within.

Google's previous Debug Project trial in California's Central Valley nearly eliminated mosquitoes from three test sites entirely. A separate trial in Singapore cut dengue cases by 70% within 12 months.

Google has now released over 1 billion mosquitoes across four continents. This new proposal is the largest deployment in US history.

See 9 related tweets

@TrungTPhan: Google really the new Bell Labs, using that monopoly search money printer for new inventions:

▫️Wa...

@giffmana: I almost forgot about Google's coolest project: Debug.

They release tons of infertile, non-biting m...

@edzitron: If you actually read why they’re doing this it becomes obvious that this is the first useful thing G...
@Baconbrix: literally de-bugging Florida\n\nQT @BullTheoryio: BREAKING: Google is planning to release 32 million...
@NathanpmYoung: I would like google to take on larger projects than this:
Build a contact tracing app into google ...

2. PaulSolt (Group Score: 162.8 | Individual: 47.3)

Cluster: 6 tweets | Engagement: 1060 (Avg: 72) | Type: Tech

RT @sama: OpenAI Robotics is hiring, looking for exceptional full-stack hardware, ops, systems, and ML engineers to help us program and manufacture robots that are useful for society.

AI should be able to help people in the physical world. In the short term, we are focused on robots to support skilled workers to build our future infrastructure; in the long term, we imagine everyone having a personal robot doing anything they need.

Our world simulation research program, led by Aditya Ramesh (@model_mechanic), has evolved over the past year into OpenAI Robotics. Progress is rapid, and based on a foundation of co-design between robotics hardware and ML research.

If you love working hands-on across the robotics stack and want to build the future, please consider joining us. Send an email with your background and evidence of exceptional accomplishment to: [email protected]

See 5 related tweets

@wallstengine: Robotics theme is definitely going to get some attention next week.\n\nQT @sama: OpenAI Robotics is ...
@negligible_cap: Might as well slap on robotics ahead of the IPO\n\nQT @sama: OpenAI Robotics is hiring, looking for ...
@EMostaque: Sora team became robotics team\n\nQT @sama: OpenAI Robotics is hiring, looking for exceptional full-...
@ShanuMathew93: Era of robots is nearing…\n\nQT @sama: OpenAI Robotics is hiring, looking for exceptional full-stack...
@AndrewCurran_: The same world sim route Dr Fan is taking at NVIDIA.

Quoting from the post; 'In the short term, we...

3. ycombinator (Group Score: 156.6 | Individual: 51.6)

Cluster: 5 tweets | Engagement: 944 (Avg: 105) | Type: Tech

RT @FarzaTV: Watch me control my computer with just my voice. This is the future of operating systems.

No hands.

GPT-Realtime 2.0 is very, very underrated.

Demo: https://t.co/Js4VKsMG4u

See 4 related tweets

@VaibhavSisinty: This is actually wildddd,

GPT- Realtime is amazinggg!\n\nQT @FarzaTV: Watch me control my computer ...

@bensig: If you’re not into coding… or typing - you might find this really, really useful\n\nQT @FarzaTV: Wat...
@manthanguptaa: This is sooooooo goooood!\n\nQT @FarzaTV: Watch me control my computer with just my voice. This is t...
@imranye: jarvis is here.\n\nQT @FarzaTV: Watch me control my computer with just my voice. This is the future ...

4. jason (Group Score: 111.9 | Individual: 30.9)

Cluster: 5 tweets | Engagement: 539 (Avg: 346) | Type: Tech

There are a ton of variables to consider with the job market in the age of AI

People’s opinions are largely based on their political tribe.

Demoocrats want to believe the sky is falling, and republicans want to believe it’s the Trump Golden Age — both of these are bad takes

The reality is that 10-20m jobs are going away in the next decade.

from taxi drivers to white-collar middle managers to factory workers.

This is obvious.

At the same time, millions of jobs are being created, from AI trainers to data center builders — and of course, my favorite, startups!

we will have massive job displacement and creation at the same time.

The Trump administration will claim these are because of the President's brilliance, while the democrats and America First crowd will say President Trump double-crossed them by not deporting 20 million immigrants and by allowing H1B abuse.

It’s a concerning amount of destruction combined with early signs of a boom for select jobs.

We will get through it, but it will be chaotic and challenging,\n\nQT @DavidSacks: Apollo’s Chief Economist: Zero Evidence of AI-Related Job Losses https://t.co/lucwD4XqVd

See 4 related tweets

@levie: Again, maybe counterintuitive, but in the majority of conversations I have with CIOs, CTOs, and CEOs...
@pmarca: Many people are saying.\n\nQT @DavidSacks: Apollo’s Chief Economist: Zero Evidence of AI-Related Job...
@MarioNawfal: 🇬🇧 UK researcher Ciaran Murphy: Young people have given up hope of ever having a good job and a nice...
@TFTC21: Apollo's chief economist says there is zero evidence of AI-related job losses. The ADP weekly employ...

5. MichaelDell (Group Score: 109.5 | Individual: 42.1)

Cluster: 4 tweets | Engagement: 6128 (Avg: 1487) | Type: Tech

The world’s first @nvidia Vera Rubin NVL72 server rack is here.

We’re thrilled to deliver the first working, liquid-cooled @Dell PowerEdge XE9812 for @CoreWeave.

Built for the next era of AI infrastructure. 🚀🤝 https://t.co/MvtRc6gwqG

See 3 related tweets

@rohanpaul_ai: Some cool visuals.

Dell Delivers world's first Nvidia Vera Rubin NVL72 rack to CoreWeave.

It pack...

@CoreWeave: The rumors are true 👀

Proud of the CoreWeave engineering team and our partners (like @Dell) who ar...

@rohanpaul_ai: RT @rohanpaul_ai: Some cool visuals.

Dell Delivers world's first Nvidia Vera Rubin NVL72 rack to C...

6. mingchikuo (Group Score: 107.8 | Individual: 38.5)

Cluster: 3 tweets | Engagement: 676 (Avg: 391) | Type: Tech

Nvidia's Much-Anticipated, Reportedly Upcoming N1X / Windows PC Processor: Supply Chain Checks and Key Takeaways

▌Supply chain checks point to around 10M shipments of N1X-based devices over the next two years. ➡ Still a niche market, aimed at power users who need on-device AI compute. ➡ Whether shipments get revised up will come down to price, but mainly to whether Windows can deliver apps and workflows that truly orchestrate on-device AI compute.

▌Today, the main ways people use AI on a PC (both Windows and Mac) are accessing cloud LLM services through a browser and calling LLMs via API to consume a cloud provider's compute / tokens: ➡ In both cases, the core AI compute happens in the cloud, not on the device.

▌So far in 2026, the two hottest stories in the PC market have had almost nothing to do with on-device AI compute: ➡ Strong MacBook Neo sales. My industry checks suggest 2026 shipments of Neo models were revised up by roughly 100% (5M → 10M). Buyers are paying for price, design, and ecosystem, not for on-device AI compute. ➡ Cheap mini PCs, still niche, are drawing a lot of attention because they can run AI agents (like OpenClaw) around the clock (e.g., Mac mini). These agents also run inference in the cloud. ➡ Bottom line: neither the sales nor the buzz has much to do with on-device AI compute.

▌The key to on-device AI driving an upgrade cycle is the operating system (OS): ➡ What really sets on-device AI apart from the cloud is its ability to deeply integrate a user's data and workflows across apps while keeping things private. But that needs OS support. ➡ AI in today's PC OS is still mostly about adding AI features to first-party apps and loosely connecting workflows across apps. ➡ Some apps already make good use of on-device AI compute, like speech-to-text, but not enough to drive meaningful upgrade demand.

▌The N1X devices could give AI power users another solid option: ➡ Thanks to the N1X, device makers can strike a better new balance across AI compute, memory, design, and portability. ➡ For power users running LLMs on-device, an N1X device is a solid alternative to the Mac when it comes to capable on-device AI compute and large memory. ➡ But if the goal is a real upgrade cycle, then beyond price, OS support (Windows) is still what matters.

See 2 related tweets

@ShishirShelke1: Kuo: Nvidia N1X-powered Windows PCs are expected to ship ~10M units over the next two years.

Posi...

@jukan05: "According to supply chain checks, N1X-based devices are expected to ship around 10 million units ov...

7. MilkRoadAI (Group Score: 95.9 | Individual: 35.8)

Cluster: 3 tweets | Engagement: 15 (Avg: 59) | Type: Tech

Dell just made history this weekend and it is the culmination of an execution streak that no other company in enterprise technology has matched (Save this).

Dell delivered the world's first fully validated NVIDIA Vera Rubin NVL72 rack to CoreWeave.

The specs are a step change above every prior generation, 72 Rubin GPUs, 36 Vera CPUs, 3.6 exaFLOPS of FP4 inference, 75TB of fast memory, and 260TB/s of NVLink bandwidth the most powerful AI rack system ever shipped commercially.

Dell was first to ship the NVIDIA GB200 NVL72 in December 2024, first to ship the GB300 NVL72 in July 2025, and now first to validate and deliver the Vera Rubin NVL72 in May 2026, three consecutive generations, three consecutive firsts, always to the same strategic partner, CoreWeave.

Dell's AI Factory platform now serves 5,000 enterprise customers, up from 4,000 just a few months earlier, all running AI workloads on Dell-NVIDIA integrated infrastructure.

And Jensen Huang joined the keynote to declare that "agentic AI systems require up to 1,000 times more compute than systems that merely react to inquiries," directly validating every dollar Dell is deploying into next generation rack systems.

The financial results announced just three days ago on May 28 stopped Wall Street cold.

Dell reported Q1 FY2027 revenue of $43.84 billion up 88% year over year obliterating analyst consensus of$ 35.43 billion by over $8 billion.

Infrastructure Solutions Group revenue servers, storage, and AI hardware surged 181% to $29 billion in a single quarter.

Dell immediately raised its full-year AI server revenue guidance from $50 billion to$ 60 billion for fiscal 2027, raised total annual revenue guidance to $165–169 billion from$ 138–142 billion, and raised adjusted EPS guidance to $17.90 from$ 12.90.

Shares surged 39% after the announcement, with Q2 guidance of $44–45 billion in revenue representing 49% growth at the midpoint again above every analyst estimate on the street.

The valuation case is what makes this even more compelling for investors who have not yet acted.

Dell entered this earnings report with a $43 billion AI backlog, the highest in company history and closed$ 64.1 billion in AI orders across fiscal 2026 alone, growing the enterprise customer base past 4,000 before this quarter's additions.

Super Micro's ongoing federal investigation for allegedly smuggling AI technology to China has prompted Melius Research to identify Dell as the primary beneficiary of an estimated $47 billion in displaced server demand, a tailwind that has not yet fully converted into revenue.

Then there is the human dimension that President Trump captured at a separate event praising the Dell family's character: "He started making computers on his bed in college and selling them because they were better than other computers. I said, how did you do that? He said: well, I did it and I just never stopped."

The Dells put $6.25 billion of personal capital into Trump Accounts to seed 25 million American children with investment fundsbecause Michael Dell appears to genuinely believe in the same long-run compounding thesis he built his company around.

Milk Road remains bullish on the physical AI buildout, and Dell is one of the clearest expressions of that thesis in public markets, a company that is both growing revenue 88% year-over-year and still trading at a discount to the market.

Come join Milk Road Pro for more thesis such as this, link below.\n\nQT @MichaelDell: The world’s first @nvidia Vera Rubin NVL72 server rack is here.

We’re thrilled to deliver the first working, liquid-cooled @Dell PowerEdge XE9812 for @CoreWeave.

Built for the next era of AI infrastructure. 🚀🤝 https://t.co/MvtRc6gwqG

See 2 related tweets

@TFTC21: Dell just delivered the world's first server rack built on Nvidia's next-generation Vera Rubin chips...
@StockSavvyShay: $DELL entering the year: • FY27 revenue estimates were ~$ 125B • AI-optimized servers ~$50B (+100% ...

8. wallstengine (Group Score: 89.0 | Individual: 60.5)

Cluster: 3 tweets | Engagement: 1382 (Avg: 130) | Type: Tech

Axios reports $NVDA and Microsoft$ MSFT are expected to unveil the first Windows computers using Nvidia chips as the main processor.

The launch is expected at Computex in Taiwan and Microsoft Build in San Francisco.

Devices are expected from Microsoft Surface and Dell.

Microsoft is also expected to unveil software that lets users run AI agents locally on Windows PCs.

See 2 related tweets

@StockSavvyShay: RT @StockSavvyShay: $NVDA and$ MSFT are reportedly set to unveil the first $ARM based Windows PCs po...
@ShishirShelke1: RT @ShishirShelke1: The first Windows PCs powered by Nvidia chips are expected to debut next week 🚨 ...

9. kimmonismus (Group Score: 81.9 | Individual: 30.0)

Cluster: 4 tweets | Engagement: 343 (Avg: 583) | Type: Tech

Opus 4.8 is a solid jump over Opus 4.7 on DeepSWE, while also lowering the average cost per task.

However, GPT-5.5 xhigh still beats it by a pretty clear margin while being cheaper.

OpenAI has been cooking insanely hard with its models lately. Really excited to see what GPT-5.6 brings.

That said, I have to admit: I’m starting to really like Opus 4.8 as well.

We’ve entered a moment where both frontier labs keep shipping genuinely impressive models.\n\nQT @datacurve: Opus 4.8 is now on DeepSWE.

On the default high thinking effort, it scores 6% higher than Opus 4.7 xhigh, while also lowering average cost per task. https://t.co/HGLWsmDxZu

See 3 related tweets

@TheRealAdamG: RT @diegohaz: After spending 60% of my weekly limit in 2 days on Claude Max, I can confidently say t...
@bindureddy: OpenAI has an excellent chance at widening the gap

GPT 5.5 leads in coding and Opus 4.8 didn’t cat...

@reach_vb: RT @reach_vb: GPT-5.5 is #1 on DeepSWE, a hard long-horizon coding benchmark 🔥

70% pass@1 vs 58% fo...

10. sairahul1 (Group Score: 77.8 | Individual: 30.2)

Cluster: 3 tweets | Engagement: 71 (Avg: 100) | Type: Tech

Jensen Huang (CEO of Nvidia) : “Every engineer is going to have and manage 100s of agents”

The future of work is managing and building ai agents

This builder gave out the entire roadmap to become a 100x ai engineer in 2026

Bookmark this for the weekend https://t.co/liPdm5WLj5\n\nQT @sairahul1: https://t.co/hNOBXY9ibT

See 2 related tweets

@eng_khairallah1: RT @sairahul1: Jensen Huang (CEO of Nvidia) : “Every engineer is going to have and manage 100s of a...
@sairahul1: 🚨 CEO of Nvidia: "I'd hire the graduate who's expert in AI over the one who isn't. Every time"

and ...

11. teortaxesTex (Group Score: 74.8 | Individual: 28.6)

Cluster: 3 tweets | Engagement: 32 (Avg: 60) | Type: Tech

> 16-36x denser interconnect enables Huawei's LogicFolding design if real, this is a purely EDA software advantage, right? As the Chinese doomers correctly point out, with better lithography you can reduce bond pitch as well. But Western EDA is still built for planar chips.\n\nQT @SemiAnalysis_: Necessity is the mother of innovation. In one fell swoop, Huawei overtakes all in advanced Hybrid Bonding technology, with 2026 Kirin smartphones featuring 1.5 µm bond pitch 3D-stacked architecture. Next year's Kirin chips will go down 1 µm pitch! TSMC has only just moved to 6 µm SoIC, with their next step to 4.5 µm for 2030 products. Intel's Foveros Direct is at 9 µm with Clearwater Forest this year. 16-36x denser interconnect enables Huawei's LogicFolding design, with more granular architectural splitting across the dies to optimize routing and shorten critical paths.

See 2 related tweets

@TheAhmadOsman: Jensen tried to stop this from happening btw

Stopping NVIDIA from selling to China will go down the...

@SemiAnalysis_: Necessity is the mother of innovation. In one fell swoop, Huawei overtakes all in advanced Hybrid Bo...

12. FT (Group Score: 72.2 | Individual: 24.8)

Cluster: 3 tweets | Engagement: 82 (Avg: 198) | Type: Tech

Western AI models are turbocharging Tehran’s cyber operations, helping it develop malware and launch attacks.

See 2 related tweets

@Techmeme: Experts say ChatGPT, Gemini, and other Western AI models are turbocharging Iran's cyber operations, ...
@nalinrajput23: The U.S. is now seeing its own AI technologies turned back against it https://t.co/0B0sCXtPh2\n\nQT ...

13. pingToven (Group Score: 69.9 | Individual: 27.9)

Cluster: 4 tweets | Engagement: 48 (Avg: 24) | Type: Tech

kitten’s first pr into codex cli iirc added support for openai compatible providers with openrouter as the primary example. excited for him to keep making codex better (kittylitter is great)\n\nQT @SIGKITTEN: personal update I'm joining @OpenAI to work on Codex!

I think there are still a ton of great things to build on both mobile and desktop and there's no better team pushing that frontier than the Codex team. I'm super humbled and excited to be working with @ajambrosino @Dimillian @pvncher and a lot of other people I can't wait to meet!

Now I just have to figure out how and where to hide the cats

See 3 related tweets

@Dimillian: 🐐 🐈 welcome to the team!\n\nQT @SIGKITTEN: personal update I'm joining @OpenAI to work on Codex!

I...

@ferologics: issover\n\nQT @SIGKITTEN: personal update I'm joining @OpenAI to work on Codex!

I think there are ...

@TheRealAdamG: RT @SIGKITTEN: personal update I'm joining @OpenAI to work on Codex!

I think there are still a ton...

14. sairahul1 (Group Score: 68.9 | Individual: 40.9)

Cluster: 2 tweets | Engagement: 163 (Avg: 100) | Type: Tech

This Chinese guy built a Second Brain in Obsidian and every morning gets 3 trading ideas that brought him $180,000 in 6 months.

Inside he runs a pipeline of 6 workflows on N8N that automatically pulls every read article, listened podcast, and voice note into a shared Obsidian vault, and a neural network analyst every morning at 6:00 finds connections between the fresh and the old and puts the 3 strongest trading ideas for the day into the inbox.

No analytics desk, no Bloomberg terminal, no Telegram chats with traders. Just a Mac Mini by the wall, an iPhone in the pocket, and 1 local Obsidian vault.

And traditional quant funds keep entire teams of 8 people on salary for the same flow of insights, while his expenses are only subscriptions to Readwise, Whisper API, and N8N hosting.

6 pipelines process about 200 sources a day and close the monthly API bill at about $120.

The Mac Mini itself stores the entire vault and keeps the neural network analyst running 24/7, and from the iPhone the owner drops any idea he hears on the go into a Telegram bot, and it lands in the vault inbox in just 30 seconds.

The starting instruction that sits in the VAULT.md file at the root of his vault looks like this:

"you are the AI analyst of a solo trader. you read his vault every morning at 6:00, find connections between fresh and old notes, and deliver 3 trading ideas he can verify in the hour before the market opens.

pipelines:

Reader (pulls every article and highlight from Readwise, Twitter bookmarks, and Kindle into /notes)
Listener (transcribes podcasts through Airr and voice notes through Whisper, puts them in /notes)
Catcher (accepts any message from the Telegram bot and writes it to /inbox with a timestamp)
Connector (every night reads across the entire vault and updates the connection graph between 4,000 notes)
Briefer (at 6:00 AM writes a brief: 3 trading ideas for today plus the emerging thesis of the week, puts it in /inbox)
Mobile (lives in the iPhone, answers any question about the vault by voice, and confirms alerts while the owner is on the go).

you wake the owner with a push notification only when a fresh note contradicts his active thesis or when 1 of the 3 morning ideas has a confidence score above 90%."

This instruction immediately sets the role for the system and the limits of its autonomy.

It knows it is supposed to connect new with old on its own.

It knows it is supposed to prepare 3 trading ideas every morning on its own.

It knows it connects the live trader only when a thesis is contradicted or an ultra-confident idea appears.

→ Reader pulls about 80 articles and highlights a day from Readwise, Twitter, and Kindle

→ Listener transcribes 4 to 6 podcasts a week through Airr and Whisper

→ Catcher intercepts all voice and text ideas through the Telegram bot, averaging 15 to 20 a day

→ Connector updates the connection graph between 4,000 notes every night, adding 25 to 30 new edges

→ Briefer puts a fresh brief with 3 trading ideas and the emerging thesis into the inbox at exactly 6:00

→ Mobile answers any question about the vault by voice and confirms alerts right from the iPhone

And only when a new note contradicts his active thesis or 1 of the ideas breaks 90% confidence does the orchestrator raise the owner with a push notification.

And when the trader at that moment is driving to the gym or eating breakfast, the Mobile agent in his iPhone answers any quick question about the vault by voice: what he wrote about this ticker last week, which 3 sources support the idea of long NVDA, and what counter-thesis already sits in his notes.

The trader makes the decision and sends the order before New York opens.

The fresh brief from last Monday looks like this:

"reader: 78 materials added over the weekend, 11 of them about semiconductors, 4 about energy, 3 about biotech. passing to connector."

"connector: 27 new connections found between fresh materials and the vault, the strongest one is that the Goldman report from Wednesday matches the NVDA thesis you wrote 3 weeks ago."

"briefer: 3 trading ideas for today: long NVDA (confidence 0.84), short Tesla at the close of the quarterly report (0.71), watch URI (0.62). emerging thesis of the week: the market is underpricing capex on data centers."

"alert: your fresh note about long-term risk in semis contradicts the NVDA thesis. sending for review."

In his work setup there is no cloud server, no team of analysts, and not even a Bloomberg subscription.

At home sits a Mac Mini with a local Obsidian vault, on top run 6 N8N pipelines and a neural network analyst, and the same vault mirrors to a secure terminal on the iPhone.

Out of everything I have seen this year, this is the cleanest solo trading setup on a second brain: $120 a month on the API, about$ 30,000 a month into the account, and between them 6 pipelines, 4,000 connected notes, and 1 iPhone in the pocket.\n\nQT @eng_khairallah1: https://t.co/KI8BRCCNnj

See 1 related tweets

@eng_khairallah1: RT @sairahul1: This Chinese guy built a Second Brain in Obsidian and every morning gets 3 trading id...

15. codewithimanshu (Group Score: 68.4 | Individual: 36.0)

Cluster: 2 tweets | Engagement: 538 (Avg: 220) | Type: Tech

RT @codewithimanshu: I lost my job yesterday.

Rent was due. No backup plan.

Then I remembered I still had Claude.

Claude scanned 10,000 Polymarket wallets while I slept.

Built an autonomous agent that trades 24/7. 94 trades. Zero input. Pure edge.

I'm giving away the exact setup free for 24 hours.

To get it:

Comment 'CLAUDE'
Like and Retweet this post
Follow @codewithimanshu (so I can DM you)

You only need Claude + laptop + 1 hour to deploy.

What it does:

→ Analyzes top Polymarket wallets from last 90 days → Cross-references win rates, position sizing, entry timing → Isolates 7 traders whose edge is repeatable → Builds agent that reads live news and maps to markets → Detects mispricing across outcomes → Exploits arbitrage windows → Sizes every position using Kelly criterion

Not a script. Not an if-then bot.

An agent that processes information asymmetry at machine speed.

I deployed it at 11:47 PM. Closed the laptop.

Woke up to $4,237 from$ 25 seed capital.

Wall Street pays millions for this infrastructure.

You pay $20/month for Claude.

The opportunity window:

→ Polymarket still has inefficient pricing → Most retail traders react to news manually → AI agents exploit the 15-180 second lag → Window closes when everyone runs similar systems

This edge exists right now. It won't in 12 months.

Save this post. Deploy the agent this weekend. Start with $25. Scale on evidence.

You Must Follow me @codewithimanshu so I can send you the setup guide in DM.

See 1 related tweets

@codewithimanshu: RT @codewithimanshu: I'm quitting my job to go full-in on Claude.

Just Asked it to:

Analyze mispri...

16. chddaniel (Group Score: 66.1 | Individual: 35.4)

Cluster: 2 tweets | Engagement: 53 (Avg: 20) | Type: Tech

this Claude bot finds restaurants with ugly menus, rebuilds them as live web menus, and mails the owner a postcard... on autopilot.

here's how agencies can use this system to land clients:

scrapes every local business in a city in real time
filters by review count + rating + last update date + site quality
pulls the strongest photos and copy from their Google Maps listing
samples the brand palette from the business's own visual identity
AI rebuilds it into a brand-matched website + mobile app
writes a postcard quoting a real reviewer + what they loved
mails it to the owner by first name with a preview QR

every step from discovery to brand-matching to outreach is automated by Claude Opus 4.8 in @shipper_now

reply "SHIPPER" + RT and I'll send you a free guide so you can build this too

See 1 related tweets

@chhddavid: Day 303 of building in public

see quoted post → so happy to see people are LOVING our new feature! ...

17. seraleev (Group Score: 65.3 | Individual: 32.9)

Cluster: 2 tweets | Engagement: 14 (Avg: 32) | Type: Tech

The first app was super simple - you upload two before/after images and get a short video with a slide effect.

My wife, who was a nail tech at the time, suggested the idea because she wanted to create content to attract clients. She couldn't find any apps for creating before/after videos in the App Store. I didn’t believe her, we almost ended up arguing, and I went searching to prove her wrong. Turns out, she was right (as always).

I persuaded a friend to help develop the app. It was 2019, we spent a couple of months developing it, and within a year, it was bringing in $100-200 a month. My friend thought the idea was unworkable, so I bought out his share for a token amount.

Just 8 months after the redesign and marketing launch, I sold the app.\n\nQT @seraleev: 6 years ago my app was growing and I accepted the first offer.

I had $34k/mo and was offered$ 410k. I took the money, confident I could build many successful apps with it. In reality, the opposite happened. The next 5 apps all failed.

The app I sold grew to $80k/mo just 6 months later (organic traffic).

Always think carefully before taking a big offer. Large sums cloud your judgment. Stay focused.

See 1 related tweets

@seraleev: There’s one important detail in this story.

The app started growing only after I solved the main p...

18. theo (Group Score: 63.4 | Individual: 30.6)

Cluster: 3 tweets | Engagement: 1299 (Avg: 988) | Type: Tech

It is possible that Opus 4.8 is a much better model than I give it credit for, and it is held back terribly by Claude Code.

Sadly I cannot confirm this myself without spending thousands of dollars because their API prices are absurd and you can't use your sub anywhere good.\n\nQT @theo: I haven't used Claude Code much recently. Are these write failures just, like, expected?

I haven't seen this many random tool call errors since I last used a Gemini model https://t.co/dzcXj6TvI6

See 2 related tweets

@tengyanAI: can confirm - claude opus 4.8 is genuinely buggy. feels like it was rushed out.

tool calling glitch...

@bibryam: 🤩 Best practices for using Opus4.7 w/ Claude Code https://t.co/AjiwR693q1 https://t.co/xYrNwFzi9b...

19. bibryam (Group Score: 61.7 | Individual: 42.5)

Cluster: 2 tweets | Engagement: 398 (Avg: 58) | Type: Tech

SkillSpector - a new security scanner for skills by NVIDIA

• Scan AI agent skills before installing them • 64 security checks across 16 categories • Fast static analysis + • Optional LLM semantic evaluation • Prompt injection detection • Credential theft detection • Supply-chain vulnerability scanning • AST & taint-flow analysis • MCP security checks • Optional LLM review layer • SARIF output for CI/CD

Think "Semgrep + antivirus" for AI agent skills. https://t.co/TQkV2TWCH6

See 1 related tweets

@pmarca: Interesting.\n\nQT @bibryam: SkillSpector - a new security scanner for skills by NVIDIA

• Scan AI a...

20. myrhex (Group Score: 61.1 | Individual: 27.0)

Cluster: 3 tweets | Engagement: 5 (Avg: 40) | Type: Tech

Grok Imagine Video 1.5 Preview has now officially launched and is available through the SpaceXAI API.

This release brings meaningful upgrades to image to video generation including smoother motion stronger visual consistency and far more realistic overall output.

Developers can integrate the model directly into their applications and custom workflows.

The speed of advancement in SpaceXAI video tools is striking and it sets a high bar for what comes next.\n\nQT @teslaownersSV: UPDATE: Grok Imagine Video 1.5 Preview has officially launched and is now available through the xAI API 🎬⚡

The latest version brings major improvements to image-to-video generation, delivering higher-quality motion, better visual consistency and more realistic results.

Developers can now integrate one of xAI’s most advanced video generation models directly into their own applications and workflows.

AI video creation is evolving at an incredible pace.

See 2 related tweets

@teslaownersSV: UPDATE: Grok Imagine Video 1.5 Preview has officially launched and is now available through the xAI ...
@mark_k: Grok Imagine by @xai is now actually the best image-to-video model in the world.

According to the A...