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MrFutureMaker.BASE.ETH | Yeehaw Games

MrFutureMaker.BASE.ETH | Yeehaw Games

@MrFutureMaker

Game Designer | @yeehaw_games Founder

Austin, TX Katılım Eylül 2021
7.5K Takip Edilen2.9K Takipçiler
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Ronin
Ronin@DeRonin_·
How to get a job as an AI Automation Engineer: AI automation is one of those fields where it's actually easier to get a job through non-traditional paths companies need people who can wire AI into their existing tools, automate workflows, and save them 40+ hours a week they don't care where you learned it so, here's my workflow for getting a job as an AI Automation Engineer: 1: Build your personal brand on X this should be your main platform follow AI startup founders, reply to them, post your workflows, show your thinking and value gonna to present next weeks how I'm doing it here 2: Build presence on LinkedIn or GitHub these are more traditional platforms but if you build your own automation system and it gets traction on GitHub, that's already way stronger than "work experience at a company" basically potential client checks out firstly your Github to get verification that you're good at your deal release open-source automation workflows to get the reputation 3: Share knowledge in communities n8n community, LangChain Discord, OpenAI forums, Claude community this is where real people hang out and opportunities appear cheat codes to stand out and get into the top 1%: 1: Build in public - show what you're building and how - CVs are outdated, people hire those who can build fast, ship real automations, and solve actual business problems 2. Learn to build with AI agents, not just drag-and-drop - one person with Claude Code can ship what used to take a 3-person dev team - the no-code ceiling hits fast.. agents don't have one 3. Do free audits before calls - before jumping on a call with a potential client, map out their broken workflows - show what you'd fix and how (this can also be turned into content on X) 4. Specialize narrowly - don't just be "AI automation engineer" - pick a niche: real estate, e-commerce, recruiting, legal - this makes you 10x easier to position and hire 5. Show measurable results - metrics matter (money especially) - "saved 40 hours/week" and "$12K/mo in reduced headcount" is what gets you hired - not "built a cool n8n workflow" main insight: this is a new profession, traditional "work experience" doesn't matter as much what matters is real skill, real projects, and proof you can ship forget chasing FAANG interviews right now you have a much better opportunity: - build in public - grow your brand - become visible - start earning within months, not years one more thing: everything in this field moves insanely fast what's relevant today may be outdated in a year so "experience" doesn't matter your real skill is adaptability + learning fast + constant practice I wrote a 10,000+ word roadmap breaking down exactly what to learn each month for 6 months every resource, every tool, every practice project read it below ⬇️
Ronin tweet media
Ronin@DeRonin_

x.com/i/article/2042…

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Elon Musk
Elon Musk@elonmusk·
Grok foundation model V9-Medium (1.5T) has finished training. Evals look good. A lot of Cursor data was added in supplementary training and there is more to come. Fine-tuning is underway and reinforcement learning begins in a few days. 2 to 3 weeks to public release. This will be a major improvement over the 0.5T v8-small that currently serves all Grok production traffic, especially for difficult coding tasks.
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Higgsfield AI 🧩
Higgsfield AI 🧩@higgsfield·
Your agents can now post across X, Instagram, Threads, and LinkedIn. Higgsfield Supercomputer's new social connectors let your agents pull posts, publish them, and run a self-learning marketing loop end to end. What account would you hand to an agent first?
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0xMarioNawfal
0xMarioNawfal@RoundtableSpace·
HERMES AGENT IS QUIETLY BECOMING THE DEFAULT STACK FOR PEOPLE BUILDING REAL AI AGENTS THIS BEGINNER GUIDE SHOWS THE ENTIRE SETUP IN UNDER 1 HOUR
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Alex Finn
Alex Finn@AlexFinn·
How to develop an unhinged amount of confidence:
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Ronin
Ronin@DeRonin_·
Greg Isenberg broke down a 35-step playbook for building AI startups from zero to $1M+/year. 4 businesses, all profitable, no VC money I compressed it into 12 rules that actually matter: 1. ride a trend, don't create one: find a niche where demand already exists but tools are 5 years behind. if people are complaining in reddit threads and facebook groups.. that's your market 2. audience before product: master ONE platform. set notifications for 10 niche leaders, reply with real insight (not "great post!"), gain 5-10 followers daily. this compounds into an unfair advantage when you launch 3. validate with wallets, not surveys: if nobody will pre-pay at 50-70% off for something that doesn't exist yet.. they won't pay full price either. your audience becomes your investors 4. vibe code the MVP: use Cursor/Bolt/V0 to ship v1 in days not months. the goal isn't perfect code, it's proving people will use it. polish comes after revenue 5. keep the team at zero: AI is your co-founder now. Manus for research, ChatGPT for PRDs, Claude Design for design, Cursor for code. most $1M/yr businesses in 2026 run with 1-3 people max 6. automate before you hire: find the 3-step process you do 10x a day that takes 5 minutes each time. automate that first. Lindy, Gumloop, Zapier. work toward 90%+ automation 7. retention before growth: fixing churn is 10x more valuable than doubling acquisition. run retention sprints before growth sprints. most founders do this backwards and wonder why revenue flatlines 8. modular pricing kills one-size-fits-all: free tier for top of funnel, $29 for individuals, $299 for teams, $3K for enterprise. let the product sell itself at every level 9. partner with creators instead of buying ads: offer 1-20% equity or 20-50% rev share to creators with your audience. one partnership can outperform 6 months of paid marketing 10. build free tools for distribution: a public-facing calculator, checker, or generator drives organic traffic AND trains AI search to recommend you. this is the new SEO 11. think portfolio, not single product: once business #1 is profitable, repeat the process. share infrastructure, cross-promote, create a flywheel. Walt Disney didn't build one ride 12. ship something new every 30 days: a culture of shipping beats a culture of planning. new MVP monthly, acquire underperforming products with distribution upside, recruit operators to run them what actually compounds in 2026: - audience before product, not the other way - pre-selling before building - 1-person teams running $1M businesses with AI - retention over acquisition, always - portfolios over single bets - shipping over strategizing the cost of building has never been lower.. billions of people with credit cards are reachable through social media the only bottleneck left is you actually starting full 30-min breakdown from @gregisenberg attached below ↓ study this P.S. left 20 not taken startup ideas below which you can take and start growing
Ronin@DeRonin_

The 20 BIGGEST startup ideas I'd build if I had 20 lives 1. biggest subscriptions: kill agent. average person bleeds $219/month on charges they forgot about. connect bank, show usage, cancel in one click. you keep 20% of what you save them 2. biggest insurance: AI that fights denied claims for you. insurers reject 30-40% on first try on purpose hoping you give up. most people do 3. biggest death tech: digital afterlife manager. you have 200+ accounts. crypto, subscriptions, passwords. when you die, half of it just.. disappears. 48% of americans have zero plan for this 4. biggest negotiation: AI that handles price negotiations over email. car deals, medical bills, salary offers. most people leave $5k-$50k/year on the table because they hate the back and forth 5. biggest fintech: AI tax strategist. not filing, strategy. what your $2k/hour CPA knows but packaged for $99/month 6. biggest debt: AI settlement negotiator. americans owe $1.1T in credit card debt. collection agencies buy your debt for pennies on the dollar and then charge you full price. AI that negotiates settlements at 30-50 cents on the dollar 7. biggest manufacturing: micro-factory OS. 3D printers went from $100k to $200 but the software stayed at $50k. thousands of people making real products from garages with spreadsheets 8. biggest fraud prevention: B2B payment verification. 76% of companies got hit last year. $133k average per incident. AI that checks every outgoing payment before it leaves 9. biggest construction: permit automation. you're waiting 3-6 months for paperwork that AI can fill in minutes. 1.5M permits/year in the US 10. biggest government: AI benefits navigator. $140B in federal benefits go unclaimed every year. people qualify but can't get through the paperwork. 47 pages to apply for programs that exist to help you 11. biggest local biz: AI reputation manager. one 1-star google review can kill a small business overnight. monitor everything, auto-respond, push positive results up. most owners have no idea what's being said about them 12. biggest freelance: AI contract reviewer. 70M+ freelancers signing stuff they don't fully read. flag risks in 30 seconds, charge $19/month 13. biggest field work: voice CRM. electricians and plumbers don't sit at desks. they need a CRM they can talk to while driving between jobs. 60M+ workers, nothing good exists 14. biggest proptech: phone-based property inspector. point at a room, get a full report. the $5B inspection industry still literally uses clipboards 15. biggest divorce: separation logistics AI. 750k divorces per year in the US. asset splitting, custody scheduling, document filing. lawyers charge $15-30k for what's mostly paperwork and coordination 16. biggest renovation: AI cost estimator. homeowners always get 3-5 completely different quotes from contractors. scan your rooms, know the real number before calling anyone 17. biggest compliance: EU e-invoicing tools. 10M+ SMBs are forced to go digital by 2027 and have no clue how. $22B market btw 18. biggest immigration: visa application automation. people spend $5-15k on immigration lawyers for paperwork that follows a process. millions of applications per year, all manually filled 19. biggest legal: AI dispute resolver. small claims under $10k take months in court and cost more in lawyer fees than the claim itself. online AI mediation that settles it in days for a flat fee 20. biggest healthcare: AI second opinion. 12M americans get misdiagnosed every year. 795,000 die or get permanently disabled from diagnostic errors. upload your labs, get a second analysis before making a life-changing decision every one of these has a customer already paying for a worse version of it. I compiled a detailed growth plan for each of these for myself drop which number you'd build first and I'll send it to you (maybe will discuss the terms how we can work together) Or even better DM me if you're not lazy and interesting guy to talk :<)

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Vivek Sen
Vivek Sen@Vivek4real_·
BREAKING: 🇨🇳 CHINESE AI STARTUP JUST BUILT AN AI COLLAR THAT TRANSLATES DOG BARKS AND CAT MEOWS INTO FULL SENTENCES. WITH 95% ACCURACY 🤯 THIS IS WILD
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Khushi Agarwal
Khushi Agarwal@Aicoder786·
ANDREJ KARPATHY COULD HAVE CHARGED $2,000 FOR THIS COURSE. He put it on YouTube. The full training stack. Tokenization. Neural network internals. Hallucinations. Tool use. Reinforcement learning. RLHF. DeepSeek. AlphaGo. 3 hours of the most comprehensive LLM education that exists anywhere at any price. Not how to use the tools. How the entire system was built from the ground up and why it behaves the way it does. The engineers who understand this build things the ones who only use the tools cannot even conceive of. The gap between those two groups is not 3 hours. It is everything those 3 hours quietly unlock for the rest of your career.
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Higgsfield AI 🧩
Higgsfield AI 🧩@higgsfield·
Axultan, our head of product, on how we engineered Higgsfield Supercomputer, the first engine that runs your work end to end. Agents plan, execute, and grade their own output, so the human in the loop drops to near zero. What part of your work would you hand off first?
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Ronin
Ronin@DeRonin_·
Zach Yadegari (Cal AI founder) built a $1.12M/month app at 17 with no paid ads and no VC 80 minutes on how he went from coding in his bedroom to 8M+ downloads while still in high school worth more than any $2k "how to build a startup" course here's what he covers: > find a simple problem people already pay to solve badly > build the MVP fast, make it stupid simple to use > skip ads entirely, go influencer-first from day one > scale with creators, not capital the founders who win right now aren't raising rounds.. they're shipping apps from their laptop and letting creators do the marketing that's exactly why I put together 20 startup ideas you can build the same way the full list is in the tweet below ↓
Ronin@DeRonin_

The 20 BIGGEST startup ideas I'd build if I had 20 lives 1. biggest subscriptions: kill agent. average person bleeds $219/month on charges they forgot about. connect bank, show usage, cancel in one click. you keep 20% of what you save them 2. biggest insurance: AI that fights denied claims for you. insurers reject 30-40% on first try on purpose hoping you give up. most people do 3. biggest death tech: digital afterlife manager. you have 200+ accounts. crypto, subscriptions, passwords. when you die, half of it just.. disappears. 48% of americans have zero plan for this 4. biggest negotiation: AI that handles price negotiations over email. car deals, medical bills, salary offers. most people leave $5k-$50k/year on the table because they hate the back and forth 5. biggest fintech: AI tax strategist. not filing, strategy. what your $2k/hour CPA knows but packaged for $99/month 6. biggest debt: AI settlement negotiator. americans owe $1.1T in credit card debt. collection agencies buy your debt for pennies on the dollar and then charge you full price. AI that negotiates settlements at 30-50 cents on the dollar 7. biggest manufacturing: micro-factory OS. 3D printers went from $100k to $200 but the software stayed at $50k. thousands of people making real products from garages with spreadsheets 8. biggest fraud prevention: B2B payment verification. 76% of companies got hit last year. $133k average per incident. AI that checks every outgoing payment before it leaves 9. biggest construction: permit automation. you're waiting 3-6 months for paperwork that AI can fill in minutes. 1.5M permits/year in the US 10. biggest government: AI benefits navigator. $140B in federal benefits go unclaimed every year. people qualify but can't get through the paperwork. 47 pages to apply for programs that exist to help you 11. biggest local biz: AI reputation manager. one 1-star google review can kill a small business overnight. monitor everything, auto-respond, push positive results up. most owners have no idea what's being said about them 12. biggest freelance: AI contract reviewer. 70M+ freelancers signing stuff they don't fully read. flag risks in 30 seconds, charge $19/month 13. biggest field work: voice CRM. electricians and plumbers don't sit at desks. they need a CRM they can talk to while driving between jobs. 60M+ workers, nothing good exists 14. biggest proptech: phone-based property inspector. point at a room, get a full report. the $5B inspection industry still literally uses clipboards 15. biggest divorce: separation logistics AI. 750k divorces per year in the US. asset splitting, custody scheduling, document filing. lawyers charge $15-30k for what's mostly paperwork and coordination 16. biggest renovation: AI cost estimator. homeowners always get 3-5 completely different quotes from contractors. scan your rooms, know the real number before calling anyone 17. biggest compliance: EU e-invoicing tools. 10M+ SMBs are forced to go digital by 2027 and have no clue how. $22B market btw 18. biggest immigration: visa application automation. people spend $5-15k on immigration lawyers for paperwork that follows a process. millions of applications per year, all manually filled 19. biggest legal: AI dispute resolver. small claims under $10k take months in court and cost more in lawyer fees than the claim itself. online AI mediation that settles it in days for a flat fee 20. biggest healthcare: AI second opinion. 12M americans get misdiagnosed every year. 795,000 die or get permanently disabled from diagnostic errors. upload your labs, get a second analysis before making a life-changing decision every one of these has a customer already paying for a worse version of it. I compiled a detailed growth plan for each of these for myself drop which number you'd build first and I'll send it to you (maybe will discuss the terms how we can work together) Or even better DM me if you're not lazy and interesting guy to talk :<)

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God of Prompt
God of Prompt@godofprompt·
🚨 BREAKING: Gemini has a feature called Director's Prep System. You can use it to plan an entire video from concept to edit-ready blueprint before you open a single editing tool. Here are 7 prompts to access it: 👇
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Garry Tan
Garry Tan@garrytan·
Thinking Machines is impressive. In a couple hours I just fine tuned my own Qwen3.5-397B model this afternoon. Fast usable multimodal is also going to enable very mind-blowing personal AI.
Thinking Machines@thinkymachines

People talk, listen, watch, think, and collaborate at the same time, in real time. We've designed an AI that works with people the same way. We share our approach, early results, and a quick look at our model in action. thinkingmachines.ai/blog/interacti…

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MrFutureMaker.BASE.ETH | Yeehaw Games
A full autonomous company can now be made while you sit on the beach drinking your favorite beverage. Most people don’t yet realize this is possible. They think the AI is not good enough yet. WRONG! it’s not the brain, it’s your weak scaffolding. Create really good autonomous work flows, that’s the meta
Will Phillips@willsclips_

Founder @Bencera has just raised a $30M Seed by making VCs pitch his AI agent instead of him. He's crossed $9.5M annual run rate with no employees, since launching in Dec 2025. He’s trying to build the first one-person billion-dollar company using AI agents that autonomously build and run businesses 24/7. @polsia autonomously handles everything from code and landing pages to marketing, support, operations, and distribution. It's one of the wildest companies I’ve filmed inside so far. Before founding Polsia, Ben spent five years as Global GM at Travis Kalanick’s @CloudKitchens, running international teams and P&Ls across multiple markets INSIDE Polsia out now.

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Tibo@tibo_maker·
i genuinely don't understand - guy is solo - users spend their own balance to grow their Polsia company -> why does he need to fundraise? -> what is the money for? for AI to improve Polsia? he is close to $1m per month and from what I understand, with very low cost, so there is plenty of money available what am I missing?
Ben Cera@Bencera

Polsia just raised $30M at a $250M valuation. Approaching $10M annual run rate. One Founder + AI. Zero employees. Polsia runs companies autonomously. It also ran its own fundraising. I just showed up for signatures.

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