udipta basumatari

Will you lose your job to AI? I built a free tool to find out. Goldman Sachs says 300 million jobs will be displaced by 2030. I wanted to know if mine was one of them, so I built ismyjobscrewed.com. Enter 3 things — your job title, industry, and years of experience — and get a detailed AI displacement assessment in seconds. Your report includes: → A screwed score (0-100%) → When AI is likely to take over your role → Which of your skills have the shortest shelf life → What to learn next to stay ahead Backed by research from Goldman Sachs, the IMF, the World Economic Forum, and Anthropic. No login. No email. Completely free. Check yours → ismyjobscrewed.com

@Zephyr_hg News

Your next 30 days of content is already written. You just haven't seen it yet. This automation watches 50+ news sources every hour, scores every article for quality and relevance, and turns the best ones into Twitter threads and LinkedIn posts automatically. High-scoring stories get drafted into platform-specific content ready to post. Medium scores land in your review queue so you can tweak them if you want. Junk gets archived before it ever wastes your time. Never scramble for content ideas at 11pm again. Never post yesterday's trend a day too late. Your feed stays alive while you sleep, travel, or work on something that actually moves the business forward. Saves 15-20 hours a month and keeps you ahead of every trend in your niche. Comment "NEWS" and I'll DM it to you (must be following)

@RoundtableSpace Tool to: - find out if your job is AI safe - help you upskill and pivot - use AI to find high-match jobs, and apply using ATS-friendly CVs - 12K users so far ismyjobscrewed.com/auto-job-alerts

WHAT ARE YOU BUILDING TODAY?

@boardyai Helping job seekers expand their job hunt, use AI to find the best-matching jobs, prepare ATS-ready CVs, and apply ismyjobscrewed.com/auto-job-alerts

What problem does your startup solve?

@0xShual Stablecoins for remittance is still underutilized

So, to recap, the sentiment on the TL is: - DeFi is dead: don't bother with it, don't deposit anywhere, 'just use aave' is dead, off-ramp and at best park with ibkr or coinbase - The age of crypto is over: we're no longer early, it's the instutitionals era, coins have infinite price-insensitive sellers, and retail isn't coming to buy your bags - Onchain is dead, especially on solana, because of pvp tards that rush to outdump each other on 30k market caps. The only true runners are flukes on ethereum that are old and have no gen z to control its supply and is reliant on elon tweets. - The handful of projects that were considered investment-worthy are either not (aave, for example) or are already adequately priced (hype, zec). there are a few silent runners like $morpho but not many and low volume. - GameFi is dead. SocialFi is dead. L2s are barren. Financial activity only exists to farm points. Did I miss anything? Is anyone excited about anything? Something? If you're reading this - why are you still in crypto?

@heyblake Find out how AI safe your job is, learn to upskill, pivot and use AI agents to find relevant roles for you ismyjobscrewed.com

Drop your project URL Let’s drive some traffic

Introducing Pods Hyperspace Pods lets a small group of people - a family, a startup, a few friends, to pool their laptops and desktops into one AI cluster. Everyone installs the CLI, someone creates a pod, shares an invite link, and the machines form a mesh. Models like Qwen 3.5 32B or GLM-5 Turbo that need more memory than any single laptop has get automatically sharded across the group's devices - layers split proportionally, inference pipelined through the ring. From the outside it looks like one OpenAI-compatible API endpoint with a pk_* key that drops straight into your AI tools and products. No configuration beyond pasting the key and changing the base URL. A team of five paying for cloud AI burns $500–2,000 a month on API calls. The same team's existing machines can serve Qwen 3.5 (competitive on SWE-bench) and GLM-5 Turbo (#1 on BrowseComp for tool-calling and web research) for free - the hardware is already on their desks. When a query genuinely needs a frontier model nobody has locally, the pod falls back to cloud at wholesale rates from a shared treasury. But for the daily work - code reviews, refactors, research, drafting - local models handle it and nobody gets billed. And when it is idle, you can rent out your pod on the compute marketplace, with fine-grained permissions for access management. There's no central server involved in inference. Prompts go from your machine to your pod members' machines and back: all of this enabled by the fully peer-to-peer Hyperspace network. Pod state - who's a member, which API keys are valid, how much treasury is left - is replicated across members with consensus, so the whole thing works on a local network. Members behind home routers don't need port forwarding either. The practical setup for most pods is three models covering different jobs: Qwen 3.5 32B for code and reasoning, GLM-5 Turbo for browsing and research, Gemma 4 for fast lightweight tasks. All running on hardware you already own. Pods ship today in Hyperspace v5.19. Model sharding, API keys, treasury, and Raft coordinator are all live. What Makes This Different - No middleman. Your prompts travel from your IDE to your pod members' hardware and back. There is no server in between reading your data. - No vendor lock-in. Pod membership, API keys, and treasury are replicated across your own machines using Raft consensus. If the internet goes down, your local network keeps working. There is no database in someone else's cloud that your pod depends on. - Automatic sharding. You don't configure layer ranges or calculate VRAM budgets. Tell the pod which model you want. It figures out how to split it across whatever hardware is online. - Real NAT traversal. Your friend behind a home router with a dynamic IP? Works. No VPN, no Tailscale, no port forwarding. The nodes handle it. - Free when local. This is the part that matters most. Cloud AI bills scale with usage. Pod inference on local hardware scales with nothing. The marginal cost of your 10,000th prompt is the electricity your laptop was already using. Coming soon: - Pod federation: pods form alliances with other pods. - Marketplace: pods with spare capacity can sell inference to other pods.

@balamuralimenon Thanks will move there next

@stokonomic Codex bro. It has been almost consistently predictable.

The planned obsolescence of Opus 4.6 right before the launch of 4.7 is right out of Apple's playbook. Even Antigravity with Gemini 3.1 feels better at this point.

@balamuralimenon Vibes bloomberg.com/news/articles/…

¯⁠\⁠_⁠(⁠ツ⁠)⁠_⁠/⁠¯

Lawyers, what do you think of this? We’re looking at a future where legal work gets compressed, automated, or completely redefined. Is law actually safe from AI… or just next in line? Curious where you draw the line between “assistive tools” and full replacement 👀 Check your own risk here →ismyjobscrewed.com

@McKinsey_MGI I've incorporated your research into my tool, which is now accurately predicting the year when AI will become a big threat to a specific job. ismyjobscrewed.com

Defined by high growth and dynamism, 18 future arenas are pushing forward––with some growing at warp speed, like AI software and services, shared autonomous vehicles, semiconductors, and more. Explore these industries in depth at mck.co/arenas2026

ismyjobscrewed.com just got a serious upgrade and has reached over 10,000 users. It now runs on McKinsey’s latest research covering 800 roles and 7,000 skills, mapping how jobs will actually change by 2030. If you’ve taken the test before, your result is already outdated. And if your job is at risk, we don’t leave you guessing anymore. You’ll get exact courses to fix your skill gaps, powered by our Coursera integration. The question isn’t “will AI affect your job?” It’s how fast. Check yours: ismyjobscrewed.com

@coinbureau Unpopular opinion but it's time to retire this index

🚨 JUST IN: The Crypto Fear & Greed Index has dropped to 9, now sitting in (Extreme) Fear for 70 consecutive days. This is now the LONGEST streak since the FTX collapse in 2022.

I can't be quiet anymore. Under @elonmusk and @nikitabier, the X ad platform has been bricked beyond belief. Trying to add a payment method, only to see this error. Fun fact: There is no "city" field in the payment form. Neither is State/Province.

@TukiFromKL this is why I started digging into which roles are actually getting compressed vs just hyped. ismyjobscrewed.com

@TukiFromKL This is the part non-devs don’t see. Writing code is maybe 20% of the job, the rest is integration, infra, and debugging messy systems. AI sped up the easy part, not the hard part.

🚨 do you understand what Karpathy just said.. the guy who co-founded OpenAI.. led AI at Tesla.. one of the best engineers alive.. built an app with AI.. and said the code was the easy part.. the hard part was Stripe.. auth.. DNS.. databases.. deploying it.. connecting 15 different services that all have different dashboards and different docs and different billing pages.. AI can write your entire app in 20 minutes.. but it still can't click "confirm email" on Vercel.. so the thing that's "replacing developers" can't do the thing developers actually spend 80% of their time doing.. vibe coding didn't kill software engineering.. it just proved that coding was never the job.. the job was dealing with the mess around the code.. and that mess is still 100% human.

@TukiFromKL The displacement isn’t random either, it’s heavily skewed toward cognitive jobs now. I tested a few roles here and the results were… ismyjobscrewed.com

🚨 are you paying attention to what's happening in boardrooms right now.. Coca-Cola CEO.. stepping down this month.. said AI was a factor.. Walmart CEO.. stepped down in February.. said AI was a factor.. two of the largest companies on earth.. combined revenue over $700 billion.. and both CEOs told CNBC the same thing.. "the next wave needs someone else".. think about what that actually means.. these are the people who spent the last 3 years telling YOU to "adapt or get left behind".. the same ones who fired thousands of workers and replaced them with AI tools.. the same ones who sat on panels saying "AI won't take your job.. someone using AI will".. and now THEY'RE the ones leaving.. they didn't get fired.. they weren't pushed out.. they saw what's coming and decided they'd rather announce a graceful exit than get exposed as the guy who didn't understand the thing he forced on everyone else.. they told the cashiers to adapt.. they told the drivers to adapt.. they told the middle managers to adapt.. and when it was their turn.. they quit.

@HedgieMarkets The wild part is most people don’t realize their job is already being partially automated. This tool kinda visualizes that risk: ismyjobscrewed.com Worth checking

🦔 Tufts University's Fletcher School has released the first American AI Jobs Risk Index, estimating that between 2.7 million and 19.5 million US jobs could be displaced by AI within the next two to five years, with a midpoint of 9.3 million and roughly $757 billion in annual wages at stake. The finding that challenges most assumptions is where the risk sits. Writers face 57 percent displacement risk, computer programmers 55 percent, historians 67 percent. Meanwhile roofers, dishwashers, and orderlies face under 1 percent. The safest jobs right now are overwhelmingly the lowest paid ones. My Take I've been saying for a while that the companies winning with AI are the ones using it as a productivity multiplier rather than a headcount replacement tool, but this index puts numbers to something I think gets underappreciated. The displacement pressure is landing on cognitive and analytical work, the exact jobs that were supposed to be automation-proof. Every narrative about robots taking physical jobs while knowledge workers stayed safe is getting quietly retired by the data. Silicon Valley has a 9.9 percent job risk rate and Washington DC leads all states at 11.3 percent. The people building and regulating AI are among the most exposed to it, which creates a policy dynamic nobody has a clean answer for. The report also notes that for every one percentage point increase in automation, the data projects a 0.75 percentage point loss in jobs, meaning efficiency gains are translating into workforce reductions rather than being absorbed through growth. That relationship is worth understanding before the tipping points arrive. Hedgie🤗

@uttam_singhk AI exposure score is just one part. Salary growth, job outlook, and where to pivot if things shift matter too. We built something that covers all of that ismyjobscrewed.com

Thank god I am glad my job is still safe

@milesdeutscher Every bullet on this list is a reason to have a plan. Know your risk, know what skills to build, know where to pivot. That's exactly what this does ismyjobscrewed.com

AI job losses are accelerating. Don't believe me? This is everything that's happened over the past 7 days. Read this slowly. • ServiceNow CEO goes on CNBC and says 35% of college grads won't find jobs because of AI. Not in a decade. "In the next couple of years." • Elon orders sweeping layoffs at xAI after admitting it "was not built right first time around." 9 of 11 co-founders gone. • Meta is planning layoffs that could hit 20% of the entire company. To fund AI data centres. $600 billion by 2028. • Underemployment for recent college grads is at 42.5%. Highest since 2020. • Atlassian cuts 1,600 jobs. 10% of the company. CTO left the same week. • 45,000 tech layoffs globally in Q1 2026. Over 9,000 are directly attributed to AI. This trend isn't slowing down.