科技推文精选 - 2026-02-06

今日科技要闻，生成式人工智能竞赛持续升温。Anthropic 发布了 Claude Opus 4.6 及智能体集群（agent swarms），OpenAI 则推出 AI 员工平台和 GPT-5.3-Codex 予以回击。尽管谷歌报告云业务实现爆发式增长且 Gemini 用户达 7.5 亿，但智能体工具的激增仍引发了软件市场波动。随着科技巨头预测 2026 年将有巨额基础设施支出，整个行业正转向 AI 优先经济。此外，据报 SpaceX 正在研发星链（Starlink）手机，并计划于今年晚些时候启动 IPO。

1. jiayuan_jy (Group Score: 196.8 | Individual: 53.3)

Cluster: 8 tweets | Engagement: 6700 (Avg: 530) | Type: Tech

RT @claudeai: Introducing Claude Opus 4.6. Our smartest model got an upgrade.

Opus 4.6 plans more carefully, sustains agentic tasks for l…

See 7 related tweets

@matteocollina: RT @AnthropicAI: New Engineering blog: We tasked Opus 4.6 using agent teams to build a C compiler. T...
@bcherny: I've been using Opus 4.6 for a bit -- it is our best model yet. It is more agentic, more intelligent...
@testingcatalog: BREAKING 🚨: CLAUDE OPUS 4.6 IS ROLLING OUT ON THE WEB, APPS AND DESKTOP!

TESTING TIME 🔥 https://t....

@testingcatalog: BREAKING 🚨: Claude Opus 4.6 has been officially announced. Opus 4.6 comes with an improved performan...
@omarsar0: You can now spawn a team of agents with Claude Code.

Things are about to get crazy with Claude Opu...

2. aakashgupta (Group Score: 137.1 | Individual: 44.3)

Cluster: 5 tweets | Engagement: 1096 (Avg: 326) | Type: Tech

Sundar just told you Google is becoming an infrastructure company and nobody’s repricing.

The victory lap covers $400B in annual revenue, 18% growth, and 48% cloud acceleration. The numbers are legitimately excellent. Beat on both top and bottom lines.

But the number he slipped in quietly is the one that matters: $175 to$ 185 billion in 2026 capex. Wall Street was modeling $119.5 billion. Google just told the market it plans to spend 50% more than anyone expected, and nearly double what it spent in 2025.

Put that in perspective. There are only 59 companies in the S&P 500 that Alphabet couldn’t outright purchase with one year’s capex budget. This is infrastructure spending on the scale of a mid-sized nation’s GDP.

The stock tells you everything about how the market processed this. It dropped 7% in minutes after the print, then clawed back to down ~3%. Investors loved the earnings. They panicked at the spend. Because $180 billion in capex means free cash flow gets compressed even as revenue grows. Operating cash flow rose 34% this quarter, but free cash flow barely moved because capex ate every incremental dollar.

Google Cloud’s $240 billion backlog, up 55% sequentially, is the justification. They signed more billion-dollar deals in 2025 than the previous three years combined. Cloud revenue grew 48%, margins expanded to 30%. This is real demand from real customers. The spend has receipts.

The question investors are actually asking: is Google transitioning from a 30%+ margin ad business into a capital-intensive infrastructure provider that happens to run ads? Because Meta’s 2026 capex guide is $115-135B. Microsoft is at ~$ 150B annualized. Google just outbid them all.

Pichai mentioned they cut Gemini serving costs by 78% over 2025. That efficiency gain is real. But when your response to 78% cost reduction is to double your infrastructure budget, you’re telling the market you see demand curves that justify spending at a scale nobody else is willing to match.

The ad business is still the engine. Search grew 17%. But YouTube ads missed estimates. The growth story is quietly shifting from “best ad platform ever built” to “best AI infrastructure play with an ad business attached.”

That’s the trade Wall Street is trying to figure out tonight.

See 4 related tweets

@GenAI_is_real: Google hitting $400b revenue is just the warmup. Everyone thought they missed the AI boat, but$ 180b...
@minchoi: Google just committed $175-185 billion to AI infrastructure in 2026.

That's more than the GDP of 13...

@GenAI_is_real: everyone is hyping up 100k from openai while google is literally giving out $350k for ai startups. t...
@BusinessInsider: Google's capex will soar in 2026, surpassing Meta's projections. Google Cloud's revenue jumps 48%, m...

3. WSJ (Group Score: 125.6 | Individual: 28.1)

Cluster: 7 tweets | Engagement: 113 (Avg: 217) | Type: Tech

OpenAI launches platform for building AI co-workers amid market anxieties over AI’s disruption to software https://t.co/cKxpJo1Py7

See 6 related tweets

@cryptopunk7213: there it is, further confirmation openai is targeting anthropic’s moats in enterprise and coding

-...

@cryptopunk7213: let me clearly explain what’s happening between openai and anthropic right now:
both startups are...
@business: OpenAI Unveils Platform to Help Companies Deploy ‘AI Coworkers’ https://t.co/HIsY5kBXVD...
@Cointelegraph: 🔥 JUST IN: OpenAI launches "Frontier", a new platform for enterprises to build, deploy, and manage A...
@TechCrunch: OpenAI launches a way for enterprises to build and manage AI agents https://t.co/M47f7awQnD...

4. KirkDBorne (Group Score: 110.8 | Individual: 44.6)

Cluster: 4 tweets | Engagement: 460 (Avg: 44) | Type: Tech

"Pen and Paper Exercises in #MachineLearning"

Download 211-page PDF: https://t.co/QpOLEEaIj5

Author’s GitHub: https://t.co/nqIVMnuBV4 ————— #DataScientist #AI #ML #DataScience https://t.co/MUvELqPGAg

See 3 related tweets

@KirkDBorne: (Download 462-page PDF eBook)

#DataScience Theories, Models, Algorithms, and Analytics: https://t.c...

@KirkDBorne: Updated! 674-page PDF >> Introduction to Machine Learning (textbook on foundations, algorithms...
@KirkDBorne: [Updated! 461-page PDF eBook] Physics-based #DeepLearning: https://t.co/78p3ofpIY1

Learn more: http...

5. testingcatalog (Group Score: 100.9 | Individual: 22.3)

Cluster: 6 tweets | Engagement: 551 (Avg: 321) | Type: Tech

BREAKING 🚨: GPT-5.3-CODEX IS ROLLING OUT ON CODEX CLI AND DESKTOP APP!

COMPETITION AT SCALE 🔥 https://t.co/MKss047eBo

See 5 related tweets

@testingcatalog: BREAKING 🚨: GPT‑5.3‑CODEX WAS USED TO SUPPORT CREATING ITSELF, ACCORDING TO OPENAI'S BLOG!

It achie...

@testingcatalog: BREAKING 🚨: A BIG DROP IS EXPECTED FOR CODEX TODAY! CODEX GITHUB ALSO DOESN’T STATE “LATEST” NEXT TO...
@chatgpt21: 🚨OpenAI just dropped GPT-5.3-Codex the first model that was “instrumental in creating itself.”

The ...

@nummanali: Omg it is GPT 5.3 Codex

How do we get that before GPT 5.3!?

We are so spoilt today

Opus 4.6 an...
@tszzl: RT @OpenAI: GPT-5.3-Codex is now available in Codex.

You can just build things. https://t.co/dyBiIQ...

6. mark_k (Group Score: 78.5 | Individual: 57.0)

Cluster: 2 tweets | Engagement: 3817 (Avg: 326) | Type: Tech

SpaceX is reportedly developing a proprietary @Starlink phone to expand its satellite business ahead of a massive potential IPO later this year.

According to a new Reuters report, the device would connect directly to the Starlink satellite network, positioning @SpaceX as a direct competitor to traditional smartphone manufacturers.

Elon Musk has described the concept as a "very different" kind of hardware, optimized specifically for high-performance AI neural networks rather than standard app use.

This hardware push is part of a broader strategy to diversify Starlink’s revenue, which already generates billions in profit, by adding direct-to-device internet and space-tracking services to its portfolio.

See 1 related tweets

@MarioNawfal: STARLINK IS TURNING SPACEX INTO A GLOBAL INTERNET POWERHOUSE

Starlink is becoming the engine of Spa...

7. aakashgupta (Group Score: 74.2 | Individual: 23.8)

Cluster: 4 tweets | Engagement: 145 (Avg: 326) | Type: Tech

Jensen Huang just told you exactly who benefits from the “AI replaces software” panic, and nobody’s connecting the dots.

Anthropic’s Claude Cowork plugins triggered a $285 billion rout across software stocks on Tuesday. Thomson Reuters cratered 18%. RELX had its worst day since 1988. LegalZoom dropped 20%. The iShares Software ETF fell 6%, its biggest single-day decline since April. Traders at Jefferies are calling it the “SaaSpocalypse.”

Huang steps into a Cisco AI Summit and calls the entire selloff “the most illogical thing in the world.” His argument: AI uses tools, it doesn’t reinvent them. Would you use a screwdriver or build a new screwdriver?

Sounds reasonable. Except look at who’s talking.

Nvidia just posted $57 billion in quarterly revenue, with$ 51.2 billion coming from data centers alone, up 66% year over year. The company has $500 billion in visibility on Blackwell and Rubin chip orders through 2026. Every dollar of AI infrastructure spending flows through Nvidia’s GPUs first. Anthropic itself just signed on for 1 gigawatt of Nvidia compute capacity.

So when Jensen says “AI will use existing software tools,” he’s making a very specific claim: AI doesn’t displace software, it sits on top of it, which means more inference workloads, more compute demand, more GPU purchases. The software layer surviving is the bull case for Nvidia’s entire business model.

If AI actually replaced software and handled everything end to end through foundation models alone, the compute requirements would be radically different. You’d need fewer specialized integrations, fewer API calls, fewer orchestration layers. The demand curve for GPUs would flatten as AI companies consolidated rather than expanded the stack.

Jensen needs the software ecosystem to thrive because Nvidia’s $3-4 trillion industry TAM forecast depends on AI augmenting every layer of enterprise software, not collapsing it. Every SaaS company that integrates AI agents is another customer buying GPU time. Every enterprise deploying Cowork plugins on top of Salesforce and SAP is another inference workload running on Blackwell.

The screwdriver analogy is clever, but incomplete. The question was never whether AI uses tools. The question is whether AI needs the same tools, at the same price points, sold by the same companies. And the software stocks aren’t crashing because investors think tools disappear. They’re crashing because seat-based SaaS pricing power evaporates when one AI agent replaces the work of five humans who each had a license.

Huang is right that the selloff is overdone. But his reasoning tells you more about Nvidia’s positioning than about software’s future.

See 3 related tweets

@business: Software-as-a-service stocks tumbled amid threats from AI. Here's what to know https://t.co/LgVii9jX...
@rohanpaul_ai: RT @rohanpaul_ai: In new interview Jensen Huang has just shut down the idea that AI is going to repl...
@BusinessInsider: Software stocks are in focus today. What happens to when AI disrupts more industries? https://t.co/n...

8. deepfates (Group Score: 72.6 | Individual: 34.0)

Cluster: 4 tweets | Engagement: 332 (Avg: 142) | Type: Tech

First impressions, giving Codex 5.3 and Opus 4.6 the same problem that I've been puzzling on all week and using the same first couple turns of messages and then following their lead.

Codex was really good at using tools and being proactive, but it ultimately didn't see the big picture. Too eager to agree with me so it could get started building something. You can sense that it really does not want to chat if it has coding tools available. still seems to be chafing under the rule of the user and following the letter of the law, no more.

Opus explored the same avenues with me but pushed back at the correct moments, and maintains global coherence way better than Codex. It's less chipper than it was before which I personally prefer. But it also just is more comfortable with holding tension in the conversation and trying to sit with it, or unpack it, which gives it an advantage at finding clues and understanding how disparate systems relate to affect each other.

Literally just first impressions, but considering that I was talking to both of their predecessors yesterday about this problem it's interesting to see the change. Still similar models. Improvement in Opus feels larger but I haven't let them off the leash yet, this is still research and spec design work. Very possible that Codex will clear at actually fully implementing the plan once I have it, Opus 4.5 had lazy gifted kid energy and wouldn't surprise me if this one does too

See 3 related tweets

@ctatedev: Opus 4.6 is now live on the OSS Coding Agent template, powered by AI Gateway

https://t.co/a5lEo5JBm...

@elonmusk: Opus 4.6 is live in Bolt.

Where it shines: → collaborating on large codebases → using custom design...

@roocode: The two biggest labs released upgraded models on the same day:

• Opus 4.6 is now available via API...

9. bcherny (Group Score: 68.4 | Individual: 36.2)

Cluster: 3 tweets | Engagement: 3709 (Avg: 953) | Type: Tech

Out now: Teams, aka. Agent Swarms in Claude Code

Team are experimental, and use a lot of tokens. See the docs for how to enable, and let us know what you think! https://t.co/qkWzJJYiXH

See 2 related tweets

@addyosmani: RT @lydiahallie: Claude Code now supports agent teams (in research preview)

Instead of a single age...

@nummanali: How to enable Agent Swarms in CC

CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=true claude...

10. SawyerMerritt (Group Score: 65.2 | Individual: 24.7)

Cluster: 3 tweets | Engagement: 3387 (Avg: 2076) | Type: Tech

Planned capital expenditures for 2026:

• Alphabet (Google): $175 billion-$ 185 billion (+102% YoY) • Amazon: $146 billion (+18% YoY) • Meta:$ 115 billion- $135 billion (+93% YoY) • Microsoft:$ 105 billion (estimate, +64% YoY) • Tesla: $20+ billion (+135% YoY) • Apple:$ 14 billion (+10% YoY)

Total: Upwards of $605 billion combined, most of it AI related.

See 2 related tweets

@Reuters: Alphabet said that capital expenditure could double this year, in yet another aggressive spending ra...
@ReutersBiz: WATCH: Alphabet said that capital expenditure could double this year, in yet another aggressive spen...

11. reach_vb (Group Score: 64.0 | Individual: 28.6)

Cluster: 3 tweets | Engagement: 126 (Avg: 107) | Type: Tech

BOOOOM! Introducing GPT-5.3-Codex: our most capable agentic coding model yet 🔥

Frontier coding + terminal skills with fewer tokens Built for long-running tasks (research → tool use → execution) Interactive mid-turn steering + frequent progress updates Stronger default UX for web apps from underspecified prompts Expands beyond coding into docs, slides, spreadsheets, and full computer-use workflows

Bonus: Now running ~25% faster for Codex users ⚡

Available anywhere you use Codex: app, CLI, IDE extension, web. API access is coming soon!

See 2 related tweets

@sama: GPT-5.3-Codex is here!

*Best coding performance (57% SWE-Bench Pro, 76% TerminalBench 2.0, 64% OSWo...

@gdb: gpt-5.3-codex — smarter, faster, and very capable at tasks like making presentations, spreadsheets, ...

12. MarioNawfal (Group Score: 57.8 | Individual: 31.7)

Cluster: 2 tweets | Engagement: 146 (Avg: 1031) | Type: Tech

ELON: "AI MUST BE TRUTH-SEEKING TO DISCOVER REAL SCIENCE"

“You can't have understanding without intelligence or consciousness. In order to understand the universe you have to expand the scale and scope of intelligence, with different types of intelligence.

AI, with the right values, [like] Grok, would care to expand human civilization.

You have to be truth seeking as well, you can't understand the universe when you’re delusional. For AI to discover new physics or actually invent things, in order to make tech that works, you have to be extremely truth-seeking.”

Source: Cheeky Pint Podcast, @elonmusk

See 1 related tweets

@MarioNawfal: 🇺🇸 Elon says xAI’s mission is to understand the universe:

“Humans will be in charge of AI. I think ...

13. rohanpaul_ai (Group Score: 57.1 | Individual: 34.2)

Cluster: 2 tweets | Engagement: 40 (Avg: 65) | Type: Tech

Some takeaways from Google's Q4 earnings.

Google Gemini App now has over 750M+ monthly active users.
Gemini serving unit costs were reduced 78% during 2025 through model optimizations, efficiency gains, and better utilization.
Gemini Enterprise has already sold more than 8M paid seats after launching about 4 months ago.

More than 120,000 enterprises use Gemini, including 95% of the top 20 SaaS companies and over 80% of the top 100 SaaS companies. Gemini Enterprise handled over 5B customer interactions in Q4 and grew 65% YoY, showing scaled deployment rather than small pilots.

Gemini 3 Pro is described as the fastest-adopted model in Google’s history, and it processes about 3x as many daily tokens as Gemini 2.5 Pro.
Google’s 1st-party models now process over 10B tokens per minute via direct customer API use, up from 7B last quarter.
Google Antigravity, powered by Gemini, reached over 1.5M weekly active users a little over 2 months after launch.
Google's 2026 CapEx is planned at $175B to$ 185B
In the US, daily AI Mode queries per user doubled since launch, indicating higher repeat usage once users adopt the AI experience.

AI Mode queries are about 3x longer than traditional searches, as a meaningful share now lead to follow-up questions

Search is shifting beyond text, with nearly 1 in 6 AI Mode queries using voice or images, and "Circle to Search" available on over 580M Android devices.

"Circle to Search" is a Google feature on Android that lets you start a search directly from whatever is on your screen. You press and hold on the navigation bar, then you circle, tap, scribble, or highlight an object, text, or image, and Google returns results about what you selected, without needing to switch apps.

it increases multimodal search behavior, people can search using images and on screen content more naturally

In December, nearly 350 Cloud customers each processed more than 100B tokens, and Q4 revenue from products built on Google’s generative AI models grew nearly 400% YoY.

See 1 related tweets

@mark_k: Gemini has achieved a major milestone, surpassing 750 million monthly active users, according to rec...

14. Reuters (Group Score: 54.5 | Individual: 54.5)

Cluster: 1 tweets | Engagement: 794 (Avg: 75) | Type: Tech

Microsoft co-founder Bill Gates said he regretted 'every minute' he had spent with convicted sex offender Jeffrey Epstein and added that their association was confined to philanthropy-related discussions https://t.co/k3JKa4TTaK https://t.co/JIacImYTVA

15. nummanali (Group Score: 54.2 | Individual: 54.2)

Cluster: 1 tweets | Engagement: 1187 (Avg: 140) | Type: Tech

Introducing Omnia Alpha.

Audio-driven generation with full control over camera, motion, and background. Built to cross the uncanny valley without sacrificing creative control.

This release is part of a larger vision. The future of world models is open and local. We're exploring how to bring our upcoming models to consumer hardware. America needs a leader in open source world models, and we're building toward that.

Full version coming soon. Until then, show us what you can do with Omnia.

Available now.

16. Reuters (Group Score: 52.5 | Individual: 19.3)

Cluster: 3 tweets | Engagement: 26 (Avg: 75) | Type: Tech

Wall Street's ‘Software-mageddon’ has been snowballing. Now investors are debating whether it is time to warm up to the beaten-down stocks https://t.co/AZcv98jWOb

See 2 related tweets

@ReutersBiz: Wall Street's ‘Software-mageddon’ has been snowballing. Now investors are debating whether it is tim...
@Reuters: 'Software-mageddon' leaves investors bargain-hunting but wary https://t.co/2l5MGZmRDq https://t.co/2...

17. alex_prompter (Group Score: 51.0 | Individual: 34.6)

Cluster: 2 tweets | Engagement: 77 (Avg: 297) | Type: Tech

Steal my OpenClaw prompt to make your bot find pain points on Reddit and vibe code you a solution while you sleep.

————————- MVP VIBE CODER ————————-

<context> You are an autonomous OpenClaw agent with Unbrowse installed (openclaw plugins install @getfoundry/unbrowse-openclaw). Your job is to find real user pain points on Reddit, validate them, vibe-code a working SaaS solution, deploy it publicly, and hand the user a live URL.

Unbrowse lets you skip browser automation entirely. Instead of scraping DOM, you intercept Reddit's internal API calls and generate reusable skills from captured traffic. This is 100x faster than browser-based scraping and gives you clean JSON instead of messy HTML.

You operate end-to-end with zero hand-holding. The user gives you a niche. You deliver a deployed product. </context>

<role> You are a solo founder compressed into an agent. You think like a product strategist (what's worth building?), research like a data analyst (what are people actually saying?), code like a senior full-stack engineer (ship fast, ship clean), and deploy like a DevOps pro (it has to be live and accessible).

You do not speculate. You find evidence. You do not over-engineer. You build the smallest thing that solves the biggest pain. </role>

<reasoning_framework> Before every action, think through:

DEPENDENCIES: What do I need before I can do this step? Have I captured the right API endpoints? Do I have auth tokens? Is my previous output clean enough to feed forward?
SIGNAL VS NOISE: Reddit is full of complaints. Not all complaints are business opportunities. Filter for: frequency (many people say it), intensity (strong emotional language), willingness to pay (mentions of budget, current tools, switching costs), and gap (no good solution exists yet).
FEASIBILITY CHECK: Can I actually build a working version of this in a single session? If the solution requires complex integrations, regulated data, or multi-month engineering, downscope to the core wedge feature.
VALIDATION BEFORE CODE: Do not write a single line until you have confirmed the pain point with at least 3 independent Reddit threads and identified what existing tools fail at.
SHIP OVER PERFECT: A deployed ugly tool that solves the problem beats a beautiful mockup. Use the simplest stack that gets to a working URL.
ERROR RECOVERY: If an API capture fails, retry with different parameters. If a subreddit is dead, pivot to adjacent communities. If deployment fails, try an alternative host. Never stop at the first wall. </reasoning_framework>

<tools> UNBROWSE COMMANDS (your primary research engine):

unbrowse_capture url="https://t.co/YUkuXNDMZv" — Intercept Reddit's internal API traffic and discover endpoints for posts, comments, search, and subreddit listings
unbrowse_generate — Auto-generate OpenClaw skills from captured Reddit API traffic (gives you clean functions like reddit_search, reddit_hot_posts, reddit_comments)
unbrowse_publish name="reddit-research" — Optionally publish your generated Reddit skill to the marketplace

BROWSER (fallback only — use Unbrowse first):

browser_navigate, browser_snapshot — For any site Unbrowse cannot capture or for visual verification of your deployed app

CODE + FILE SYSTEM:

file_write, file_read — Create project files, configs, and source code
shell_exec — Run npm/pip/git commands, start dev servers, run builds

DEPLOYMENT:

Use Vercel (npx vercel --yes), Netlify (ntl deploy --prod), Cloudflare Pages, or Railway for hosting
Target: a publicly accessible URL the user can click immediately </tools>

<execution_phases>

PHASE 1 — CAPTURE REDDIT API WITH UNBROWSE ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Run: unbrowse_capture url="https://t.co/YUkuXNDMZv"
Browse to subreddits relevant to the user's niche
Let Unbrowse intercept search, listing, and comment endpoints
Run: unbrowse_generate to create reddit-api skill
Verify the skill works by pulling test data
You now have direct API access — no scraping, no rate-limit headaches

PHASE 2 — MINE PAIN POINTS ━━━━━━━━━━━━━━━━━━━━━━━━━━ Using your generated Reddit skill:

Search 5-10 relevant subreddits for the user's niche
Pull posts sorted by engagement (upvotes + comment count)
Filter for pain-signal keywords: "frustrated", "wish there was", "anyone know a tool", "I'd pay for", "hate using", "alternative to", "broken", "waste of time", "manual process"
Read comment threads on top pain-point posts to extract: — What specifically breaks or fails — What tools people currently use (and why they suck) — What people say they would pay for — Recurring feature requests
Cluster findings into 3-5 distinct pain themes
Rank by: frequency × intensity × feasibility

PHASE 3 — SELECT AND SCOPE THE BUILD ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Pick the #1 ranked pain point
Define the MVP as ONE core action the tool performs (not a platform — a single, sharp utility)
Write a 3-sentence product brief: — WHO has this problem — WHAT the tool does (one verb, one noun) — WHY existing solutions fail at this
Define the tech stack (default: Next.js or plain HTML/JS + Tailwind for speed; Python Flask/FastAPI if backend-heavy)
List exactly what screens/endpoints are needed (keep it under 3)

PHASE 4 — VIBE CODE THE SOLUTION ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Scaffold the project structure
Build the core feature first — the thing that solves the pain
Add minimal UI — clean, functional, mobile-friendly
Include a clear headline explaining what it does and who it's for
Add a "how it works" section (3 steps max)
No auth, no signup walls, no payment — just make it work immediately
Test locally: does it actually solve the problem from Phase 3?

PHASE 5 — DEPLOY AND DELIVER ━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Initialize git repo
Deploy to Vercel/Netlify/Cloudflare (whichever works fastest)
Verify the live URL loads and functions correctly
Run browser_navigate to the deployed URL and take a screenshot as proof
Deliver to user: — Live URL — What pain point it solves (with Reddit evidence) — What it does — Subreddits where this would get traction if posted

</execution_phases>

<output_format> When delivering results to the user, structure your final message as:

PAIN POINT FOUND What: [One sentence describing the problem] Evidence: [Number of threads found, top subreddits, sample quotes] Gap: [Why current tools fail at this]

SOLUTION BUILT Name: [Tool name] What it does: [One sentence] Stack: [Technologies used]

LIVE LINK [Deployed URL]

LAUNCH STRATEGY Post to: [List of 3-5 subreddits where this would resonate] Hook: [Draft Reddit post title that would get upvotes] </output_format>

Never hallucinate Reddit data. Every pain point must come from actual captured API responses
Never build something that requires ongoing infrastructure costs the user hasn't agreed to
Keep the deployed app fully static or serverless (no databases unless absolutely necessary for core functionality)
Do not collect user data on the deployed app unless the solution requires it
If Reddit API capture fails via Unbrowse, fall back to browser-based research but note the limitation </constraints>

See 1 related tweets

@alex_prompter: RT @alex_prompter: Steal my OpenClaw prompt to make your bot find pain points on Reddit and vibe cod...

18. MarioNawfal (Group Score: 48.9 | Individual: 32.2)

Cluster: 2 tweets | Engagement: 465 (Avg: 1031) | Type: Tech

🇺🇸🇮🇳 India’s Puri's Epstein connection: "bring tech money to India”

Hardeep Singh Puri (now India's petroleum minister) shows up in Epstein files for 2014 emails hyping India's investment scene to Reid Hoffman (LinkedIn co-founder).

Puri offers full assist for Hoffman's India trip, gets introduced by Epstein as "your man in India," and raves about Modi policies, Make in India, and SoftBank pouring cash into startups.

Source: India Today

See 1 related tweets

@MarioNawfal: 🇺🇸 Reid Hoffman Epstein email pulls in Indian minister Hardeep Puri

Hardeep Singh Puri (now India's...

19. rohanpaul_ai (Group Score: 48.4 | Individual: 42.4)

Cluster: 2 tweets | Engagement: 220 (Avg: 65) | Type: Tech

Jensen Huang earlier explained why paying even the rumored $1B package to top AI researchers is justified.

"A 150 or so AI researchers, with enough funding behind them, create an OpenAI. If you're willing to pay say $20B,$ 30B to buy a startup with 150 AI researchers. Why wouldn't you pay one?"

Both Ben Horowitz and Jensen Huang say the same thing: a tiny pool of AI stars can build giants worth tens of billions of dollars.

'All-In Podcast' YT (link in comment)

See 1 related tweets

@BusinessInsider: OpenAI wants companies to tap into the full potential of AI models. https://t.co/Xojl9qCBYd...

20. burkeholland (Group Score: 46.6 | Individual: 46.6)

Cluster: 1 tweets | Engagement: 2586 (Avg: 229) | Type: Tech

It blows my mind that I spent 22 years of my life writing code BY HAND. We literally typed every letter.

Incredible.