Andy

This is the best roadmap to become an AI engineer in 6 months Ronin and I spent 40+ hours on it, collecting resources for every point you need to study Now it’s literally a step-by-step guide with all the links, resources, and even practical assignments If this were sold as a paid course, it would cost at least $2k You can read it for FREE, spending just 5-10 hours And start practicing today... the choice is yours

how life sounds after realizing one person with an ai agent can rewrite billion dollar software companies in seconds

@DanielW_Kiwi @yosoymario91 @levelsio Experiencing the golden age of the internet is something not everyone got to do 😀

@andy_ai0 @yosoymario91 @levelsio You weren't born when Quake 3 was made... Do you know how old I feel right now?

🚨 Warning: this game might permanently upgrade your life @levelsio dropped a chill game that's perfect after a hard work day Feels like being a kid again, opening random browser games and playing shooters for hours True nostalgia

@xmartinj @levelsio Exactly that, Quake with multiplayer and gamepad support in the web version

@andy_ai0 @levelsio Quake?

@DanielW_Kiwi @yosoymario91 @levelsio When Quake III Arena was made, I wasn't even born yet, but I do remember playing similar shooters in the browser as a kid, so this hit me with some nostalgia too I can only imagine the kind of nostalgia people feel who've been playing it since the very beginning

@yosoymario91 @andy_ai0 @levelsio He was pretty young at the time so it's an achievement alright

@yosoymario91 @levelsio I honestly had no idea what the game "Quake" was, but I ended up really loving it Turns out it's actually Quake III Arena, running in a web version with multiplayer and gamepad support Big thanks to @lukathedev too!

@andy_ai0 @levelsio Didn’t know Pieter created quake

@JoeWisdom714602 @levelsio 100%, it helps unload your brain and just switch off for 10-15 minutes the main advantage of this shooter is that the rounds are pretty short

@andy_ai0 @levelsio the actual hustle is shipping something that makes you forget you spent all day automating your own job

@levelsio 24 minutes to build an MVP, and at least 100-200 hours on early-stage marketing

This took 24 minutes Back when I did 12 startups in 12 months in 2014, it took me at least a month to make a new startup and I didn't even finish it And they were in fact as basic as this kind of, because they were MVPs too! If 'd ship every day and I sleep 8 hours I have 24-8=16 hours * 60 minutes = 960 minutes per day. And it takes 24 minutes per startup with AI to build an MVP So theoretically you can build 40 ideas per day, and if you work 6 days a week that's 1,000 per month and about 12,000 per year So a decade later, you can now build 12,000 startups in 12 months

Claude + Linkedin = Unlimited Leads (HOW?) with this method, I literally generated 11 clients for 1.5 months for my marketing firm now, I'm building Close AI to solve this, and here's the structure of how you can set it up by your own Full-cycle of leads generation via LinkedIn + AI ↓↓↓ 1. Foundation: clear ICP (who you're targeting) doesn't matter how you implement it, first you need to define who you're looking for this can include: - current role - experience - university - location - industry - specific work background we're building our own LLM to analyze this cheaper than others, training it to understand these signals and collect leads example: SaaS founders, 5-50 employees, Europe, recently hired a sales team this way you target people who are likely to need your product 2. Lead sourcing (LinkedIn + automation) LinkedIn itself is a powerful scraper, especially with Sales Navigator, but we fully automate it workflow: 1. filter ICP 2. save lists 3. export (or automate) we also optimize collected data to reduce LLM costs 3. AI personalization (key to replies) to make outreach work, personalization is everything, this is where conversion happens how it works: 1. AI analyzes profile, posts, and pain points 2. builds structure: personal hook → context → value → soft CTA example: "noticed you recently expanded your sales team, but often efficiency drops on routine tasks like LinkedIn outreach…" 4. Messaging funnel super important, it's never just one message our flow: 1. connection request (no pitch) 2. follow-up #1 (value) 3. follow-up #2 (case/insight) 4. follow-up #3 (soft CTA) more touchpoints = more trust and all of this is handled by a trained AI model 5. Automation I built the first version using Claude Code, but API costs were high so now we're building our own LLM + sub-agents also, be careful with LinkedIn automation (spam = ban) safe limits: 20-40 connections/day 60-100 messages/day (with warm-up) random delays + unique templates = safer scaling 6. How to boost this funnel set up a content workflow in Claude, feed it competitor posts + your desired style this builds trust, people see an active page with real case study, etc. best formats: 1. case studies 2. insights 3. real experience just 2-3 posts/week takes ~30-60 min/week but significantly boosts acceptance rate 7. How to test Close AI everything above is already working, we're now in beta and opened a whitelist with cost-price access we need feedback, bugs, and suggestions, otherwise it's not valuable for us apply for whitelist access: forms.gle/gJBzhh6Jei52Pk… p.s. if you're not a company or haven't done LinkedIn sales before, we'll likely decline your request

@ignora_xyz @obsdmd Operating brain is a one of best method to structure all what you need in 2026. Big shoutout to @ignora_xyz

most people use @obsdmd to take notes. we use it as the operating brain of IGNORA🧠 every client research, growth strategy, content system --> all connected, all live, all fed into Claude. it's not a note app anymore. > it's the infrastructure behind how we think and operate.

15 careers that will dominate next 10 years: [ BOOKMARK TO GET FREE RESOURCES FOR EACH ] ↓

25+ $10k/mo B2C "painkiller" app ideas: Quitting / Control (but more targeted) - Quit TikTok (not generic social media) - Quit Doomscrolling (with time-of-day lock) - Quit Late Night Eating - Quit Porn (for couples accountability) - Quit Sugar (with withdrawal tracker) Mental Pain (micro-solutions) - Burnout Recovery (daily energy budget) - Loneliness Companion (AI check-ins) - Breakup Recovery Timeline Money Pain (huge for $10k MRR) - Subscription Killer (cancel + alerts) - Daily Budget Coach (strict mode) - Freedom calculator - Impulse Spending Blocker (cooldown + friction) Focus / Productivity (but sharper angles) - Deep Work Timer with site + apps blocking - ADHD-friendly task breakdowner - Meeting Overload Reducer Sleep & Energy (high willingness to pay) - Wake-up Accountability (pay if you fail) - Screen Curfew Enforcer (includes effectivity) - Fix Sleep Schedule (progressive shift) Relationships (very underrated niche) - Relationship Check-in (weekly prompts) - Conflict Resolver (scripts + timing) - Date Planner (zero thinking) - Long Distance Tracker - Apology Builder (seriously) Health (simple but sticky) - Posture Fix (camera + reminders) - Meal Simplicity (same meals weekly) - Grocery Discipline app - Personal AI coach - Rewards app for steps/sport in a time where building B2C apps is relatively easy, you can ship one in just 1-2 months then the main challenge becomes marketing, i'll prepare a playbook on that if this gets 150+ likes, i'll drop it ❤️ gl with your first app, and wishing you your first $10K MRR

We built custom LLM trained on 50+ TB of real sales data: thousands of BD chat conversations, C-level call transcripts, and social engineering patterns not GPT wrappers our own model that knows how to sell In short, we close 7 angles in each B2B business: 1. Leads Search: own search engine scanning LinkedIn, X & web 24/7 with AI scoring 2. Leads Qualification: 3-layer cascade filter: regex → embedding → LLM. 50K profiles → 12.5K qualified 3. Deep Research: full dossier per lead in 5 sec. Pain points, triggers, competitors, best angle 4. Personalized outreach: unique message per lead across 4 channels. Zero templates 5. AI Negotiations: handles objections, answers questions, books calls. All on autopilot 6. Call Preparation: SWOT analysis, minute-by-minute script, killer questions. PDF or CRM delivered 7. Deal Closing: "Quick Win Plan" with ROI, 3-tier pricing, branded proposal in 60 sec Unit economics: $1.50/deal. 75-90% margins. Break-even at 3 clients Live product. Paying clients ($4k pre-payment till the launch). $0 raised. Shipping every week Those, who wants to try our product too, comment "TEST" Demo is coming soon...

in the full World Economic Forum article, geopolitics is factored in as well, so yes "Geopolitics is further reshaping work. Regionalization and divergent regulation are replacing global optimization with the need for resilient, multi-regional workforce strategies" link to the source at the end of the post

@andy_ai0 Is the ongoing geopolitical crisis considered in this research @grok

The future of jobs in the New Economy (AI and Talent in 2030) Based on a World Economic Forum article, I explored possible scenarios and trends in AI, and how it will impact employment By the end of this, you’ll be able to: - understand possible future employment scenarios (by 2030) - see what business leaders expect from AI and its impact on the market - understand what businesses and employees will be facing Four scenarios of the future of work: AI and talent in 2030 First, important to note, these scenarios are not predictions They are alternative trajectories, ranging from human-AI synergy to situations Where AI in its current reality outpaces the workforce’s ability to adapt Scenario 1: Accelerated progress Exponential breakthroughs in AI and strong workforce readiness create a new AI-driven economy Most roles will likely shift toward oversight and control of AI-based systems At the same time, regulation will struggle to keep up with the pace of change Scenario 2: The displacement era AI develops so fast that it outpaces people's ability to adapt and use it Automation becomes widespread, replacing workers at scale Increasing the risk of unemployment and economic instability Scenario 3: The co-pilot economy AI development is gradual and becomes more of an opportunity than a threat Human + AI teams reshape value chains and business models Adapting to the realities of the New Economy Scenario 4: Stalled progress AI development faces a lack of critical skills in the workforce Adoption remains fragile, and expectations of prosperity shift into disappointment Including structural limitations that slow down growth, stability, and progress What do most leaders expect from AI? This chart shows leaders’ expectations and the potential impact on future employment Text version of the chart: - will displace a large number of existing jobs – 54.3% - will increase business profitability in some industries – 44.6% - will improve access to goods and services – 37.0% - will increase affordability of goods and services – 30.0% - will increase industry concentration in certain sectors – 23.6% - will create a large number of new jobs – 23.5% - will increase discrimination against certain demographic groups – 21.4% - will lead to higher wages – 12.1% At the same time, it's important to note that "displacement" is more about adaptation to new skills and the emergence of new opportunities As stated in the World Economic Forum article: "While the accelerating adoption of AI makes its impact less predictable, one thing is clear: technology alone will not determine the future of jobs. The decisions made today around innovation and talent strategies will define how successfully companies, workers, and institutions navigate these changes" And that's true, businesses increasingly need to integrate these innovations to stay competitive against those who already have While also navigating the uncertainty that exists today Conclusion In my opinion, everything depends on the ability to adapt and globally restructure processes As @elonmusk said: "All jobs will be optional. There will be universal high income" There's no need to panic about losing your job, most likely, operational work will simply be taken away And you'll get the opportunity to create, build something new, and focus on uniqueness, because that's what people will always value Also, I recommend checking out the "US Job Market Visualizer" by @karpathy Link: karpathy.ai/jobs/ (it clearly shows which jobs are most at risk) Our task is to be ready to adapt and keep learning, because old skills are becoming outdated too fast Source: weforum.org/stories/2026/0… The article on World Economic Forum was written by Kateryna Karunska, Attilio Di Battista, and Mark Elsner Big shoutout to them for compiling and writing such valuable and relevant material for the New Economy

@Abiram_116 agree with you, but leaders also expect a significant number of new jobs to be created (around 23.5%) they'll just require different skills and proper training

@andy_ai0 Honestly feels like Scenario 2 and 3 might happen at the same time — some people get replaced, while others become 10x with AI. At the end it’s not AI vs humans, it’s humans who know how to use AI vs those who don’t. Adaptability is basically the new job security

@DeRonin_ love your feedback and contribution to this industry, my best fren

@andy_ai0 love this research my fren

@VarBJr Hey IBD, nice to meet you that's exactly what I'm working on as well we'll do our best to become top experts in the AI niche and intentionally build the future that's already so close

@andy_ai0 Hey Andy 👋🏻 I just started learning AI and I would love to connect 🤗

Finally decided to start sharing my journey here I'm Andy, focused on AI and everything around it. For more than 3 years I worked as a content marketing manager Over time, my interest in AI grew, so during the past year I've been learning more about it, creating content for my clients, exploring how it works, and looking for real-world use cases I've used AI in different ways: - writing content - experimenting with automation - building my own apps - learning about AI agents My background is mostly in content and marketing, but now I'm especially interested in building startups and achieving real results through user growth and metrics Still early in the journey, but excited for what's ahead. Appreciate the support and always open to new connections

@herlucksholmes @naviidtaheri @DeRonin_ we'll keep doing our best and definitely continue sharing useful content and putting effort into it all thanks to your support, thank you!

@naviidtaheri @DeRonin_ @andy_ai0 ممنون هستم که در این روزا مطالب کاربردی میزاری

اگه می‌خوای مهندس هوش مصنوعی بشی، این نقشه راه رو بخون. بدون تئوری سنگین و ریاضیات پیچیده، فقط ساختن چیزهای واقعی. یه رشته توییت دیدم از @DeRonin_ که با @andy_ai0 نوشتن. چهل ساعت کار، ده هزار کلمه، پنجاه منبع رایگان. هدفش اینه که در شش ماه بتونی سیستم‌های واقعی AI بسازی. اینجا خلاصه‌اش: ماه اول: کدنویسی پایه پایتون، Git، ترمینال، API، SQL، FastAPI. قبل از هر چیز باید بتونی برنامه بنویسی. بدون این پایه، بقیه مسیر رو هوا می‌ری. ماه دوم: ساخت اپ با LLM پرامپت‌نویسی، خروجی JSON ساختارمند، tool calling، استریمینگ، مدیریت مکالمه، کنترل هزینه. اتصال به API های OpenAI و Anthropic و ساخت اولین اپ واقعی. ماه سوم: سیستم‌های RAG embedding، چانک کردن اسناد، دیتابیس‌های وکتور مثل Chroma و Pinecone، فیلترینگ، reranking و کاهش hallucination. هدف: سیستمی که از اسناد واقعی جواب بده، نه از حافظه مدل. ماه چهارم: Agents و ابزارها حلقه‌های agent، انتخاب ابزار، طراحی workflow و ارزیابی عملکرد. اینجاست که سیستم‌ها شروع می‌کنن به تصمیم‌گیری مستقل. ماه پنجم و ششم: استقرار و پورتفولیو پروژه‌های واقعی. چت‌بات، ابزار Q&A روی اسناد، agent اتوماسیون. چیزی که بتونی نشون بدی، نه فقط توضیح بدی. یه نکته مهم: این مسیر برای کسیه که می‌خواد سیستم بسازه، نه اینکه مدل آموزش بده. در ۲۰۲۶ بازار به کسی نیاز داره که بتونه این ابزارها رو به هم وصل کنه و محصول بسازه.

@naviidtaheri @DeRonin_ thanks a lot for your quote and such a useful summary I completely agree with you, the market needs people with this kind of knowledge and companies or potential clients are ready to pay high salaries for it