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this LEARN AI create on Adaptive uses GPT's new image model to run your entire tutoring + education team, on autopilot. here's how any school, tutor, or edtech business can replace their whole teaching op with it: • generates fresh personalized lesson plans for every student, daily • writes... and schedules quizzes across every subject automatically • replies to every student question the second it drops • DMs every parent and turns cold leads into enrolled students • boosts content from your best-performing lessons • doubles down on the teaching methods that work, drops the ones that don't • tracks every student's progress + adjusts curriculum automatically, 24/7 every step from enrollment → student mastery is fully automated. reply "LEARN" + follow and I'll send you the full guide so you can set it upshow more

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this adaptive agent runs the entire backend of a custom furniture studio. and i mean the entire thing here’s how you can automate the entire marketing + sales side of operations: → replies the second someone dms, asks for a room photo, & sends back a visualisation of the furniture in their actual space → collects the full design brief through dm including dimensions, wood type, resin colour, leg style, and delivery location → sends the deposit link automatically once the brief is complete → starts posting production updates directly from the workshop → dms the customer during delivery week asking them to film the unboxing → tracks performance across every post & adjusts strategy automatically, doubles down on what’s driving enquiries, drops what isn’t → runs a weekly audit and rewrites the content plan for the following week IF YOU WANT GUIDANCE just REPLY + RT & i’ll send you the full guide so you can set it up for your own brand

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this Adaptive AI agent tells brands exactly what tiktok content is going viral in their niche before they brief a single creator here's how brands are running campaigns that actually convert on Content Rewards: -> drop your niche hashtag in and it scans TikTok for the highest performing content right now -> filters by view velocity, engagement rate, and watch time -> identifies the exact hooks, formats, and topics driving views in your market -> maps out the patterns every viral video in your niche shares -> generates a full content brief your creators can execute immediately -> launch it as a clipping campaign on content rewards and scale with hundreds of creators -> tracks what's working and updates the brief as trends shift -> every step from trend research to live campaign is automated what used to cost a full agency retainer now runs on autopilot. reply "AGENT" + RT and i'll send you the full breakdown so you can launch your first data-driven creator campaign this week (must be following)

this Adaptive AI agent tells brands exactly what tiktok content is going viral in their niche before they brief a single creator here's how brands are running campaigns that actually convert on Content Rewards: -> drop your niche hashtag in and it scans TikTok for the highest performing content right now -> filters by view velocity, engagement rate, and watch time -> identifies the exact hooks, formats, and topics driving views in your market -> maps out the patterns every viral video in your niche shares -> generates a full content brief your creators can execute immediately -> launch it as a clipping campaign on content rewards and scale with hundreds of creators -> tracks what's working and updates the brief as trends shift -> every step from trend research to live campaign is automated what used to cost a full agency retainer now runs on autopilot. reply "AGENT" + RT and i'll send you the full breakdown so you can launch your first data-driven creator campaign this week (must be following)

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A DOCTOR BUILT AN AI-QUERYABLE DATABASE OF EVERY DISEASE HE KNOWS IN OBSIDIAN. THE SAME STACK CAN RUN AN ENTIRE COMPANY ON ONE PERSON'S BRAIN Zoomed out, his vault looks like a constellation. Every disease linked to its symptoms, every symptom to the conditions it shows up in, every treatment to what it treats. Adding a new case is one note that wires itself into the rest. It's a personal database, and the structure has nothing to do with medicine. It's just nodes and links. Once you see that, the same setup runs anything: > a startup that needs to remember every customer, decision, and meeting; > a school whose curriculum links to every lecture and student question; > a business where SOPs, clients, and vendors all sit in one queryable graph. Drop Claude on top, and the vault stops being a map. It becomes something you can ask, in plain English, across everything you've ever written down. Full Claude + Obsidian build in the article below. Bookmark this

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Yarchi

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My Adaptive agent gets me customers on autopilot, here's how it works: - Scans 15+ relevant subreddits around side hustles, entrepreneurship and passive income every 4 hours - AI scores every post 0-100 for buyer intent - Writes a natural, human-sounding comment for anything above 50 - Posts it directly to Reddit - Runs 24/7 completely hands off It finds me customers right when they're actively looking for a solution Reply "adaptive" and I'll send you the agent so you can use it too

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Chris

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$Elon Musk thinks the entire education system is built on a broken assumption. That every student should learn the same thing. At the same speed. In the same order. At the same time. Musk: “Everyone goes through from like 5th grade to 6th grade to 7th grade like it’s an assembly line. But people are not objects on an assembly line.” The model was designed for a factory economy. Standardized inputs. Predictable outputs. That economy is gone. The assembly line is gone. But the education system still runs on its logic. A student who masters algebra in two weeks sits through eight more weeks because the calendar says so. A student who struggles gets dragged forward because the schedule doesn’t wait. Neither is being served. Both are being processed. Musk: “Allow people to progress at the fastest pace that they can or are interested in, in each subject.” AI doesn’t teach a classroom. It teaches a student. One at a time. Every time. It skips what a student already knows. It finds where they’re stuck and approaches it from a different angle. It adjusts in real time. Not at the end of a semester when the damage is already done. A student obsessed with basketball learns fractions through shooting percentages. A student who builds in Minecraft learns geometry through architecture. The subject doesn’t change. The entry point does. No teacher with thirty students can do this. Not because they lack skill. Because the math doesn’t work. AI doesn’t have that constraint. Musk: “You do not need to tell your kid to play video games. They will play video games on autopilot all day. So if you can make it interactive and engaging, then you can make education far more compelling.” The brain isn’t broken. The format is. Kids learn complex systems and strategic thinking for hours voluntarily. Then walk into a classroom and can’t focus for twenty minutes. That’s not a discipline problem. That’s a design problem. Musk: “A university education is often unnecessary. You probably learn the vast majority of what you’re going to learn there in the first two years. And most of it is from your classmates.” Four years. Six figures of debt. And the real value comes from the people sitting next to you. Not the institution charging you. The degree doesn’t certify knowledge. It certifies endurance. Musk: “If the goal is to start a company, I would say no point in finishing college.” The system was built to train employees. If you’re not trying to be one, it has nothing left to offer you. Every lecture. Every textbook. Every curriculum. Now available instantly. Personalized to any learner. Adapted to any pace. The question isn’t whether the old model survives. It’s how long we keep forcing students through it while the replacement already exists.$

Elon Musk thinks the entire education system is built on a broken assumption. That every student should learn the same thing. At the same speed. In the same order. At the same time. Musk: “Everyone goes through from like 5th grade to 6th grade to 7th grade like it’s an assembly line. But people are not objects on an assembly line.” The model was designed for a factory economy. Standardized inputs. Predictable outputs. That economy is gone. The assembly line is gone. But the education system still runs on its logic. A student who masters algebra in two weeks sits through eight more weeks because the calendar says so. A student who struggles gets dragged forward because the schedule doesn’t wait. Neither is being served. Both are being processed. Musk: “Allow people to progress at the fastest pace that they can or are interested in, in each subject.” AI doesn’t teach a classroom. It teaches a student. One at a time. Every time. It skips what a student already knows. It finds where they’re stuck and approaches it from a different angle. It adjusts in real time. Not at the end of a semester when the damage is already done. A student obsessed with basketball learns fractions through shooting percentages. A student who builds in Minecraft learns geometry through architecture. The subject doesn’t change. The entry point does. No teacher with thirty students can do this. Not because they lack skill. Because the math doesn’t work. AI doesn’t have that constraint. Musk: “You do not need to tell your kid to play video games. They will play video games on autopilot all day. So if you can make it interactive and engaging, then you can make education far more compelling.” The brain isn’t broken. The format is. Kids learn complex systems and strategic thinking for hours voluntarily. Then walk into a classroom and can’t focus for twenty minutes. That’s not a discipline problem. That’s a design problem. Musk: “A university education is often unnecessary. You probably learn the vast majority of what you’re going to learn there in the first two years. And most of it is from your classmates.” Four years. Six figures of debt. And the real value comes from the people sitting next to you. Not the institution charging you. The degree doesn’t certify knowledge. It certifies endurance. Musk: “If the goal is to start a company, I would say no point in finishing college.” The system was built to train employees. If you’re not trying to be one, it has nothing left to offer you. Every lecture. Every textbook. Every curriculum. Now available instantly. Personalized to any learner. Adapted to any pace. The question isn’t whether the old model survives. It’s how long we keep forcing students through it while the replacement already exists.

Teddy - PolyBackTest.com

313,447 Aufrufe • vor 11 Tagen

$Elon Musk thinks the entire education system is built on a broken assumption. That every student should learn the same thing. At the same speed. In the same order. At the same time. Musk: “Everyone goes through from like 5th grade to 6th grade to 7th grade like it’s an assembly line. But people are not objects on an assembly line.” The model was designed for a factory economy. Standardized inputs. Predictable outputs. That economy is gone. The assembly line is gone. But the education system still runs on its logic. A student who masters algebra in two weeks sits through eight more weeks because the calendar says so. A student who struggles gets dragged forward because the schedule doesn’t wait. Neither is being served. Both are being processed. Musk: “Allow people to progress at the fastest pace that they can or are interested in, in each subject.” AI doesn’t teach a classroom. It teaches a student. One at a time. Every time. It skips what a student already knows. It finds where they’re stuck and approaches it from a different angle. It adjusts in real time. Not at the end of a semester when the damage is already done. A student obsessed with basketball learns fractions through shooting percentages. A student who builds in Minecraft learns geometry through architecture. The subject doesn’t change. The entry point does. No teacher with thirty students can do this. Not because they lack skill. Because the math doesn’t work. AI doesn’t have that constraint. Musk: “You do not need to tell your kid to play video games. They will play video games on autopilot all day. So if you can make it interactive and engaging, then you can make education far more compelling.” The brain isn’t broken. The format is. Kids learn complex systems and strategic thinking for hours voluntarily. Then walk into a classroom and can’t focus for twenty minutes. That’s not a discipline problem. That’s a design problem. Musk: “A university education is often unnecessary. You probably learn the vast majority of what you’re going to learn there in the first two years. And most of it is from your classmates.” Four years. Six figures of debt. And the real value comes from the people sitting next to you. Not the institution charging you. The degree doesn’t certify knowledge. It certifies endurance. Musk: “If the goal is to start a company, I would say no point in finishing college.” The system was built to train employees. If you’re not trying to be one, it has nothing left to offer you. Every lecture. Every textbook. Every curriculum. Now available instantly. Personalized to any learner. Adapted to any pace. The question isn’t whether the old model survives. It’s how long we keep forcing students through it while the replacement already exists.$

Elon Musk thinks the entire education system is built on a broken assumption. That every student should learn the same thing. At the same speed. In the same order. At the same time. Musk: “Everyone goes through from like 5th grade to 6th grade to 7th grade like it’s an assembly line. But people are not objects on an assembly line.” The model was designed for a factory economy. Standardized inputs. Predictable outputs. That economy is gone. The assembly line is gone. But the education system still runs on its logic. A student who masters algebra in two weeks sits through eight more weeks because the calendar says so. A student who struggles gets dragged forward because the schedule doesn’t wait. Neither is being served. Both are being processed. Musk: “Allow people to progress at the fastest pace that they can or are interested in, in each subject.” AI doesn’t teach a classroom. It teaches a student. One at a time. Every time. It skips what a student already knows. It finds where they’re stuck and approaches it from a different angle. It adjusts in real time. Not at the end of a semester when the damage is already done. A student obsessed with basketball learns fractions through shooting percentages. A student who builds in Minecraft learns geometry through architecture. The subject doesn’t change. The entry point does. No teacher with thirty students can do this. Not because they lack skill. Because the math doesn’t work. AI doesn’t have that constraint. Musk: “You do not need to tell your kid to play video games. They will play video games on autopilot all day. So if you can make it interactive and engaging, then you can make education far more compelling.” The brain isn’t broken. The format is. Kids learn complex systems and strategic thinking for hours voluntarily. Then walk into a classroom and can’t focus for twenty minutes. That’s not a discipline problem. That’s a design problem. Musk: “A university education is often unnecessary. You probably learn the vast majority of what you’re going to learn there in the first two years. And most of it is from your classmates.” Four years. Six figures of debt. And the real value comes from the people sitting next to you. Not the institution charging you. The degree doesn’t certify knowledge. It certifies endurance. Musk: “If the goal is to start a company, I would say no point in finishing college.” The system was built to train employees. If you’re not trying to be one, it has nothing left to offer you. Every lecture. Every textbook. Every curriculum. Now available instantly. Personalized to any learner. Adapted to any pace. The question isn’t whether the old model survives. It’s how long we keep forcing students through it while the replacement already exists.

Dustin

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The brand tax is costing your team more than you think. Every team that makes video at scale is paying it. The hours spent fixing fonts, swapping colors, changing typography. Every video. One element at a time. That ends today. Introducing Brand Systems. Paste your company URL and HeyGen automatically extracts your logo, fonts, and colors. No uploads. No manual setup. Just a URL. From there, it works across everything you already use in HeyGen: → Templates: apply your brand in one click. Colors swap, logo drops in, fonts update. → AI Studio: every element you insert defaults to your brand automatically. → Video Agent: generate fully on-brand videos from a single prompt. Set it once. Stay on-brand across every video. No more brand tax. Try Brand Systems today on HeyGen.

HeyGen

220,460 Aufrufe • vor 4 Monaten

I just built a Brand Operating System inside Claude Cowork 🤯 A connected system of files that every skill automatically reads from, so your hook writer, brief generator, and script writer all speak in your exact brand voice. All inside Claude Cowork. Perfect for DTC brands and agencies tired of generic AI output that sounds like every other brand in their category. If you're opening a new Claude chat and re-explaining your brand, re-pasting your voice guidelines, and re-describing your customers every single time, a Brand OS fixes the entire loop: → Build 3 foundation files once per brand → Every skill you create reads from the Brand OS automatically → Hook writer pulls your voice + customer pain points → Brief generator pulls your positioning + angles → Script writer pulls the brief + brand DNA → Every output is calibrated to your brand on the first pass No re-briefing Claude on every chat. No editing for an hour to fix generic AI phrasing. No creative that sounds like it could belong to any brand. What you get in the playbook: → The exact Brand OS file structure I use → Templates for all 3 files you can fill in for any brand → The architecture that makes every Claude skill 10x sharper → The exact setup for agencies running a Brand OS per client For agencies: this is how you build a perfect, reusable knowledge base for every client on your roster. Set up the Brand OS once per client, and every campaign after that is already calibrated. I put together a full playbook with the file templates, the architecture, and the exact setup process so you can build your own Brand OS for your brand or your clients. Want it for free? > Like this post > Comment "OS" And I'll send it over (must be following so I can DM)

Mike Futia

30,186 Aufrufe • vor 3 Monaten

this Claude bot finds local businesses with ugly websites or none at all, rebuilds and their mobile apps, then emails the owner a postcard...on autopilot. here's how agencies can use this system and 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. reply "GUIDE" + RT and I'll send you a free guide so you can build this too

David Ch

71,532 Aufrufe • vor 1 Monat

I just built a self-improving second brain in Claude Code 🤯 A brain that runs your brand: every tool reads from it, it's wired to your live data, and it gets smarter every week. All running on the Claude Agent SDK. Perfect for DTC brands and agencies whose AI output sounds generic because every new chat starts from zero. If you're re-explaining your brand to AI every single time — re-pasting the voice guidelines, re-describing the customer you've described a hundred times, re-uploading the same positioning doc you uploaded yesterday, and still editing for an hour to strip out the generic phrasing... A brand second brain fixes the entire loop: → Build 3 foundation files once: brand DNA, voice, and customer → Every skill you create reads from them automatically → Wire in live data — your ad account, competitor ads, customer reviews → A weekly routine refreshes the brain with what's actually working → Every output comes back on-brand on the first pass No re-briefing AI on every chat. No hour of editing to undo generic phrasing. No brain that goes stale the week after you build it. What a second brain gives you: → The exact 3-file foundation that runs the whole system → The skill structure that makes every tool brand-aware by default → The live-data wiring that keeps it grounded in reality → The weekly self-improvement loop that keeps it sharp → The cold-start sequence to stand it all up from zero Built 100% in Claude Code. I put together the full playbook with the file structure, the wiring, and the exact setup. Want it for free? > Like this post > Comment "BRAIN" And I'll send it over (must be following so I can DM)

Mike Futia

17,733 Aufrufe • vor 1 Monat

🚨 STARTING DECEMBER 16TH, META WILL BEGIN READING YOUR DMs - EVERY MESSAGE, PHOTO & VOICE NOTE FED INTO AI FOR PROFIT Meta is rolling out a new policy that lets them use your private conversations to train their AI - unless you manually opt out. That means: • Every DM you’ve ever sent • Every photo • Every voice memo • Every private chat with friends, family, partners, clients • Even messages people send to you All of it can be fed into their AI models. And yes - they made the opt-out process intentionally confusing and desktop-only so most people won’t do it. This video explains exactly how to stop it. If you don’t do this, Meta can legally use every private thing you’ve ever sent to train their AI - starting December 16th. This is not a drill. Would YOU trust Meta with your private DMs?

🚨 STARTING DECEMBER 16TH, META WILL BEGIN READING YOUR DMs - EVERY MESSAGE, PHOTO & VOICE NOTE FED INTO AI FOR PROFIT Meta is rolling out a new policy that lets them use your private conversations to train their AI - unless you manually opt out. That means: • Every DM you’ve ever sent • Every photo • Every voice memo • Every private chat with friends, family, partners, clients • Even messages people send to you All of it can be fed into their AI models. And yes - they made the opt-out process intentionally confusing and desktop-only so most people won’t do it. This video explains exactly how to stop it. If you don’t do this, Meta can legally use every private thing you’ve ever sent to train their AI - starting December 16th. This is not a drill. Would YOU trust Meta with your private DMs?

HustleBitch

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In two years, every new tech company will run on a CRM you can vibe code to fit your business. This CRM will not be built from scratch on a coding platform though. It will be built on top of managed infrastructure with complete data capture, indices designed for LLMs to understand the whole picture, clean APIs, curated UI frameworks designed for selling, enterprise-grade security, and come with 24/7 support. You’ll instruct the agent using natural language and it will write the code + run it for you. That’s what we’re building at Lightfield and today we’re announcing step two of our plan - code execution. You can now ask your agent to build programs, artifacts, and run complex analysis instantly. It does this by writing and running Python in a high performance sandbox using full customer memory — including every email, meeting, and note that Lightfield has captured — and reasoning across every relationship to deliver high quality work. Ask your agent to build a competitive battle card before a call tomorrow. It pulls positioning, objections, and win/loss patterns from real conversations. Ask it to flag every open deal where your champion's engagement has dropped or sentiment has shifted. It reads across every conversation and tells you where to focus. Ask it to build a pipeline review with charts and graphs for your board. It produces the whole thing in minutes. Here’s what we did with it this week: → We asked our agent to grade our sales team on discovery, rapport, and closing. It gave a structured scorecard with specific examples from real conversations. → Our GTM team asked the agent to build a plan to expand one of our enterprise customers. It pulled competitive threats, upsell paths, stakeholder mapping, and a phased execution plan — in minutes. → We used it to find every feature request from the last quarter that our engineering team has since shipped, and draft a personalized follow-up to each customer using their original words. It closed loops across dozens of accounts that would have taken days to track down manually This is the first step towards building any custom GTM workflow in natural language on top of what Lightfield knows about your business - a world model built from every single interaction your team has had with customers.

In two years, every new tech company will run on a CRM you can vibe code to fit your business. This CRM will not be built from scratch on a coding platform though. It will be built on top of managed infrastructure with complete data capture, indices designed for LLMs to understand the whole picture, clean APIs, curated UI frameworks designed for selling, enterprise-grade security, and come with 24/7 support. You’ll instruct the agent using natural language and it will write the code + run it for you. That’s what we’re building at Lightfield and today we’re announcing step two of our plan - code execution. You can now ask your agent to build programs, artifacts, and run complex analysis instantly. It does this by writing and running Python in a high performance sandbox using full customer memory — including every email, meeting, and note that Lightfield has captured — and reasoning across every relationship to deliver high quality work. Ask your agent to build a competitive battle card before a call tomorrow. It pulls positioning, objections, and win/loss patterns from real conversations. Ask it to flag every open deal where your champion's engagement has dropped or sentiment has shifted. It reads across every conversation and tells you where to focus. Ask it to build a pipeline review with charts and graphs for your board. It produces the whole thing in minutes. Here’s what we did with it this week: → We asked our agent to grade our sales team on discovery, rapport, and closing. It gave a structured scorecard with specific examples from real conversations. → Our GTM team asked the agent to build a plan to expand one of our enterprise customers. It pulled competitive threats, upsell paths, stakeholder mapping, and a phased execution plan — in minutes. → We used it to find every feature request from the last quarter that our engineering team has since shipped, and draft a personalized follow-up to each customer using their original words. It closed loops across dozens of accounts that would have taken days to track down manually This is the first step towards building any custom GTM workflow in natural language on top of what Lightfield knows about your business - a world model built from every single interaction your team has had with customers.

Keith Peiris

27,529 Aufrufe • vor 5 Monaten

I built a Claude skill that turns Claude Code into your personal coding tutor. The core insight: Claude Opus 4.5 is already the best tutor in the world. Anthropic cooked with this model! It has incredible emotional intelligence and deep coding knowledge. What this skill does is just provide a harness—a way for Claude to agentically build the right context about YOU so it can personalize the tutoring experience in exactly the right way. Here's what makes it work: Learner profile from day one. The first time you use it, Claude interviews you. It asks about your programming background, your goal (where do you want this to take you?), and who you are as a person. This gets saved and informs every single tutorial it ever writes for you. From the very first interaction, everything is 100% personalized. Tutorials that use YOUR code. When you ask to learn something, Claude doesn't give you generic examples from some blog post. It finds examples in the actual codebase you're working in. This makes concepts stick in a way abstract examples never do. Quiz mode with spaced repetition. You can run "/quiz-me" and Claude will test you on concepts you've learned. It tracks your understanding score for each tutorial. Then it uses spaced repetition to prioritize the next quiz—concepts you're shaky on come back in 2 days, concepts you've mastered fade to 55+ day intervals. It literally builds retention into the learning process. One central knowledge base across all your projects. Whether you're joining a new company and want to understand their codebase, learning from an open source project, or leveling up on your own vibe-coded project—all your tutorials live in one place (~/coding-tutor-tutorials/). So your personal coding-tutor accompanies you across all your coding adventures. The whole thing is a feedback loop: learn → quiz → retain → learn more → quiz → retain. Your tutorials evolve, your knowledge compounds, and Claude gets better at teaching YOU specifically over time. To install it in Claude Code: • Run /plugin to open the plugin manager • Add marketplace nityeshaga/claude-code-essentials • Enable coding-tutor plugin Here's the Github: And here's 20-mins of me walking you through how to use this plugin and how it works 👇🏽 Let me know if you use it to teach yourself something cool!

Nityesh

64,540 Aufrufe • vor 7 Monaten

is changing its name. 13 years ago, launched with a simple idea: every student should learn computer science — to learn how technology works and how to create it — not just how to use it. After more than 2 billion hours of learning, the focus of CS has moved from coding to AI. As AI reshapes every part of daily life, students need digital fluency: the ability to understand AI, direct it, question it, and create with it — built on the foundations of computer science, AI science, and data science. Today, enters its next chapter as CodeAI. Our curriculum, teacher training, and frameworks, are there already: AI Discoveries and AI Foundations are free and in classrooms now. The K-12 digital sciences pathway is expanding. Our goal is a generation with agency over the systems shaping their lives — prepared to shape the work, civic life, relationships, and meaning that come after. Welcome to CodeAI.

is changing its name. 13 years ago, launched with a simple idea: every student should learn computer science — to learn how technology works and how to create it — not just how to use it. After more than 2 billion hours of learning, the focus of CS has moved from coding to AI. As AI reshapes every part of daily life, students need digital fluency: the ability to understand AI, direct it, question it, and create with it — built on the foundations of computer science, AI science, and data science. Today, enters its next chapter as CodeAI. Our curriculum, teacher training, and frameworks, are there already: AI Discoveries and AI Foundations are free and in classrooms now. The K-12 digital sciences pathway is expanding. Our goal is a generation with agency over the systems shaping their lives — prepared to shape the work, civic life, relationships, and meaning that come after. Welcome to CodeAI.

Hadi Partovi

10,854 Aufrufe • vor 1 Monat

SOMEONE VIBE CODED A TOOL THAT FINDS BUSINESSES, READS THEIR REVIEWS, AND WRITES COLD EMAILS BASED ON THEIR OWN CUSTOMERS' COMPLAINTS this is insane. you type in any business type and pick a city. it scrapes every matching business off Google Maps with 30+ data fields. then it visits their actual websites and pulls verified emails, phone numbers, and every social media profile they have scraped live, not from some outdated database like other tools then the AI reads up to 50 of their Google reviews and finds their exact pain points "clients complain photos don't show the real size of properties" or "listings take too long to sell" then you tell it what YOUR business does. it cross-references your offer with their specific problems and generates a fully personalized cold email for each business. send it in 2 clicks. one by one and not bulk so it lands in the primary inbox and all of those leads land on a GPS-mapped CRM where you can draw sales territories, optimize driving routes, track your team's activity in real time, and transcribe voice notes after meetings. works in 200+ countries and with any business type. if they're on Google Maps you can find them this is the most complete lead gen tool i've ever seen AND he vibe coded the whole thing with Claude Code in 2 weeks

Om Patel

600,921 Aufrufe • vor 3 Monaten

SOMEONE VIBE CODED A TOOL THAT FINDS BUSINESSES, READS THEIR REVIEWS, AND WRITES COLD EMAILS BASED ON THEIR OWN CUSTOMERS' COMPLAINTS this is insane. you type in any business type and pick a city. it scrapes every matching business off Google Maps with 30+ data fields. then it visits their actual websites and pulls verified emails, phone numbers, and every social media profile they have scraped live, not from some outdated database like other tools then the AI reads up to 50 of their Google reviews and finds their exact pain points "clients complain photos don't show the real size of properties" or "listings take too long to sell" then you tell it what YOUR business does. it cross-references your offer with their specific problems and generates a fully personalized cold email for each business. send it in 2 clicks. one by one and not bulk so it lands in the primary inbox and all of those leads land on a GPS-mapped CRM where you can draw sales territories, optimize driving routes, track your team's activity in real time, and transcribe voice notes after meetings. works in 200+ countries and with any business type. if they're on Google Maps you can find them this is the most complete lead gen tool i've ever seen AND he vibe coded the whole thing with Claude Code in 2 weeks

Rahul

98,186 Aufrufe • vor 1 Monat

foreplay just dropped their API… and they’re putting up $5k for the best n8n build that uses it. so i built a starter flow you can steal 👇 every week it: - scrapes your competitor’s longest running ad (the one printing money) - grabs their newest launches (see what they’re testing) - flags their longest active ad still running (proven winners) - delivers everything neatly into slack for you or your team set it once and get fresh competitor intel on autopilot. if you’re entering the bounty, this will give you a head start. comment FOREPLAY + follow and i’ll send you the JSON template to load straight into n8n.

foreplay just dropped their API… and they’re putting up $5k for the best n8n build that uses it. so i built a starter flow you can steal 👇 every week it: - scrapes your competitor’s longest running ad (the one printing money) - grabs their newest launches (see what they’re testing) - flags their longest active ad still running (proven winners) - delivers everything neatly into slack for you or your team set it once and get fresh competitor intel on autopilot. if you’re entering the bounty, this will give you a head start. comment FOREPLAY + follow and i’ll send you the JSON template to load straight into n8n.

J.B.

14,037 Aufrufe • vor 10 Monaten

I built an entire content team in 21 minutes. It writes LinkedIn posts, YouTube scripts, Newsletters, and Tweets. All in my voice. Content used to be the bottleneck. Writing for multiple platforms meant either spending hours on it or hiring someone who never quite sounded like me. I spent weeks refining this system so I could show you exactly how to set it up. What's in the guide: - Setting up your personal AI writer from scratch - The folder structure that makes AI writing actually work - Using successful examples to train your AI's voice - Building and refining custom writing skills - Advanced techniques for scaling across platforms This is for creators, founders, and marketers who want to produce more content, faster, without losing their voice or hiring a team. I recorded the full walkthrough. Every step. Live. Comment "WRITER" and I'll DM you the free GitHub repo with the complete folder structure and skills. (Make sure we're connected so I can DM you)

I built an entire content team in 21 minutes. It writes LinkedIn posts, YouTube scripts, Newsletters, and Tweets. All in my voice. Content used to be the bottleneck. Writing for multiple platforms meant either spending hours on it or hiring someone who never quite sounded like me. I spent weeks refining this system so I could show you exactly how to set it up. What's in the guide: - Setting up your personal AI writer from scratch - The folder structure that makes AI writing actually work - Using successful examples to train your AI's voice - Building and refining custom writing skills - Advanced techniques for scaling across platforms This is for creators, founders, and marketers who want to produce more content, faster, without losing their voice or hiring a team. I recorded the full walkthrough. Every step. Live. Comment "WRITER" and I'll DM you the free GitHub repo with the complete folder structure and skills. (Make sure we're connected so I can DM you)

JJ Englert

76,773 Aufrufe • vor 5 Monaten

Godfather of agents showed how he created the loop engineering that everyone now uses: as PhD student, he wrote the formula every AI agent now runs on - his formula taught agents to self-improve here's the formula: step 1 → stop making the model just think OR just act - make it alternate: think → act → observe → think again step 2 → let it reason out loud before every action - the plan guides the next move, not just the output step 3 → feed the result of each action back in - the model reads what happened and adjusts, live step 4 → when it fails, don't restart make it reflect on WHY it failed, in words, then retry with that memory step 5 → store those reflections - the agent gets better across attempts without any retraining before OpenAI, before he ran Tencent's AI - he was a grad student who quietly wrote the blueprint every agent now follows - now give 90-min course watch & bookmark - then read how the agent systems actually works ↓

Godfather of agents showed how he created the loop engineering that everyone now uses: as PhD student, he wrote the formula every AI agent now runs on - his formula taught agents to self-improve here's the formula: step 1 → stop making the model just think OR just act - make it alternate: think → act → observe → think again step 2 → let it reason out loud before every action - the plan guides the next move, not just the output step 3 → feed the result of each action back in - the model reads what happened and adjusts, live step 4 → when it fails, don't restart make it reflect on WHY it failed, in words, then retry with that memory step 5 → store those reflections - the agent gets better across attempts without any retraining before OpenAI, before he ran Tencent's AI - he was a grad student who quietly wrote the blueprint every agent now follows - now give 90-min course watch & bookmark - then read how the agent systems actually works ↓

codila

28,151 Aufrufe • vor 7 Tagen