Alin Dobrin

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Alin Dobrin

Alin Dobrin

@dobrin_alin

I build AI systems that replace entire teams. Automation, marketing, sales. Sharing what actually works.

United Kingdom Katılım Aralık 2019
190 Takip Edilen80 Takipçiler
Alin Dobrin
Alin Dobrin@dobrin_alin·
@nrqa__ the workflows section is the highest-leverage category on this list. running a zapier + clay setup for 1 client that cuts 3 hours of manual prospect research per day to under 10 minutes. most people buy 20 tools and skip the automation layer that connects them
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Nelly;
Nelly;@nrqa__·
100 AI Tools For Productivity 1. Generative AI * ChatGPT * Claude * Gemini * Mistral * Meta AI 2. Creative Suite * Suno * udio * Viggle * remix * Grok 3. Voice & Text * ElevenLabs * Murf AI * Speechify * superwhisper * Whisp Flow 4. Text to Image * Midjourney * Ideogram * Dall-E 3 * Imagen 3 * Firefly 5. Text to Video * OpenAI Sora * Google Veo * Runway * Luma AI * Pika 6. AI Tools * Perplexity * NotebookLM * You * Copilot * Poe 7. Sales * Jason AI * Clay * folk * Reply .io * Sendspark 8. Support * Fin AI * Decagon * Sierra * Pylon * Duckie 9. Video * HeyGen * klap * OpusClip * submagic * VEED 10. Content * Cohesive * beehiiv * easygen * Supermeme * Descript 11. Marketing * Jasper .ai * Writesonic * Coframe * Blaze * AdCreative 12. SEO & Blog * Surfer * rankai * seobot * byword * Macaw 13. Design * uizard * Playground * Lasqo * Canva * Galileo AI 14. Website * Gamma * Framer * Webflow * Durable * Dora 15. Website Chat * Reply Chat * Dante * Chatbase * Chatbit * Tidio 16. Code * Cursor * v0 * Replit * lovable * Devin 17. Meetings * bluedot * tl;dv * noty * Grain * Fireflies 18. Productivity * Notion AI * Airtable AI * Superhuman * Loom * Raycast 19. Operations * Juicebox * PolyAI * CrewAI * Respell * Slite 20. Workflows * Zapier * Lindy * beam * Cassidy * Magical
Nelly; tweet media
Nelly;@nrqa__

Prompt: "Create a technical infographic of [object] with a 45-degree isometric 3D perspective showing the device slightly tilted to reveal depth and dimension..." (full prompt in ALT) How to create:

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Alin Dobrin
Alin Dobrin@dobrin_alin·
@codyplof the ecom disruption is faster than most people expected. a client running a 3-person paid social team replaced 2 roles this year using claude + n8n for ad copy iteration. went from 5 ad variants per week to 40. the output difference is real
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Cody Plofker
Cody Plofker@codyplof·
This is an exciting one. We're hiring a first of its kind role at JRB. A few months back I posted that i think AI will disrupt Ecom teams first and today that day is here. One person can do today what took 3 to 4 people last year. And do it better. I've been vibe coding Shopify sections, landing pages, and built a Claude powered CRO roadmap in my "spare time". It's truly wild what I've been able to do with a few hours each night and weekend. Now I'm going to hand it off to this person and have them run with it while training them. We're looking for one highly ambitious, independent person with Ecom knowledge and the want to go all in with Claude. You don't need to be at my level; you need a baseline level and the right temperament to dive all in. You'll still have design and dev support. The goal is not to remove them, but to able to test ten times faster and smarter and do as much as you can yourself. I'll post the job description in the comments. If this is you, please slide in my DMs. If you know anyone or can share this, it's always appreciated.
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Alin Dobrin
Alin Dobrin@dobrin_alin·
@bridgemindai the multi-agent orchestration piece is where computer use gets interesting for real workflows. tested a 4-agent setup with claude code last week for client deliverable review. each agent checking a different quality dimension. cut review time from 45 min to 8 min
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BridgeMind
BridgeMind@bridgemindai·
Claude Computer Use CHANGES EVERYTHING. I used my phone to tell Claude Opus 4.6 to open BridgeSpace, launch a 12 agent swarm, and run a full security audit on my codebase. It controlled my Mac. Navigated the app. Configured the agents. Submitted prompts to all 12 terminals. OpenClaw is overhyped. This is the real thing. Full test and breakdown below 👇
Claude@claudeai

You can now enable Claude to use your computer to complete tasks. It opens your apps, navigates your browser, fills in spreadsheets—anything you'd do sitting at your desk. Research preview in Claude Cowork and Claude Code, macOS only.

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Alin Dobrin
Alin Dobrin@dobrin_alin·
@askOkara the linkedin content piece is where most ai cmo tools stall. your angle of tailoring to the product is the right one. ran a test with 3 different ai writing tools on client linkedin - the ones that read the product docs first outperformed generic prompts by 40% on engagement
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Okara
Okara@askOkara·
Today we’re introducing LinkedIn Writer to AI CMO Your AI CMO now writes high-quality LinkedIn posts daily, tailored to your product, to help you grow your audience and business Try it now at okara.ai/cmo
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Alin Dobrin
Alin Dobrin@dobrin_alin·
@btibor91 the acp integration is the quiet shift. shopify merchants don't have to do anything - their catalog is already indexed. within 6 months chatgpt becomes a top 5 discovery channel for ecom. stores not on shopify will need to build acp support or lose 10-15% of traffic.
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Tibor Blaho
Tibor Blaho@btibor91·
OpenAI is making shopping in ChatGPT richer and more visual with side-by-side comparison, image uploads and improved speed, relevance and product coverage, powered by extending the Agentic Commerce Protocol (ACP) for product discovery, rolling out to all free, Go, Plus and Pro users this week - OpenAI found that the initial version of Instant Checkout did not offer the level of flexibility they aspire to provide, so they are allowing merchants to use their own checkout experiences while focusing efforts on product discovery - Target, Sephora, Nordstrom, Lowe's, Best Buy, The Home Depot and Wayfair are already integrated into ACP for discovery, with third-party providers like Salesforce and Stripe supported so merchants can use systems they already have - Shopify merchants are automatically in through Shopify Catalog without extra work, and Walmart is introducing an in-ChatGPT app with account linking, loyalty and Walmart payments
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Alin Dobrin
Alin Dobrin@dobrin_alin·
@PrajwalTomar_ the part that changes it: claude understands your component names from the design system. so "add a primary button below the hero" maps to the exact token, not a generic box. used this on a recent mvp - would have cut design-to-handoff from 2 days to 2 hours.
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Alin Dobrin
Alin Dobrin@dobrin_alin·
@TechSalesGuy the sales outreach use case makes sense. claude handles tone calibration better than gpt for cold email - less robotic. we run it through n8n: prospect data in, personalized first line out. cut manual prospecting time by about 4 hours per rep per week on a 3-person team.
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Alin Dobrin
Alin Dobrin@dobrin_alin·
@rushu888 n8n for automation, no contest. built a client workflow last month: lead comes in, n8n routes it, claude drafts the first email, apollo logs it. 3 tools doing what used to take a full ops hire. the stack you listed covers 90% of what most solo operators need.
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Rushika Rai
Rushika Rai@rushu888·
🚨 Stop trying to do everything yourself. You’re not supposed to. The smartest creators in 2026? They’ve already built their AI team. Here’s mine 👇 🔥 Your Ultimate AI Team (9 Tools) 🧠 General AI → Google Gemini ⚙️ Automation → n8n 💡 Personal Assistant → OpenClaw 🎨 Images & Videos → Higgsfield 🎥 3D Animation → TiltIt Video 🎤 AI Sales → Apollo AI 📲 Websites → Replit 🧾 Presentations → Gamma 💻 Coding → Claude Code 💭 This isn’t just tools… It’s a one-person army. Automate work. Create faster. Scale like a team of 10+. ⚡ Truth most people ignore: AI won’t replace you… But someone using AI will. 👀 Your turn: Which AI tool is your favourite teammate? 👇
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Alin Dobrin
Alin Dobrin@dobrin_alin·
@Sam_Badawi amazon isn't doing anything your ops team can't now. n8n plus claude handles the same routing logic that cost $500k to build 3 years ago. amazon has 1,000 engineers refining it. you can get 80% of the same outcome for $200/month in api costs.
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Sam Badawi
Sam Badawi@Sam_Badawi·
$AMZN is accelerating deployment of internal AI agents across AWS after recent workforce reductions, signaling a deeper shift toward automation inside its own infrastructure stack. This mirrors what $META has been doing with internal AI tooling to streamline operations and boost productivity at scale.
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Alin Dobrin
Alin Dobrin@dobrin_alin·
@SantoXBT bezos buying factories is the macro play. the micro play is happening right now: smb owners paying $1,500/month to automate what used to cost 2 employees. the productivity vs jobs debate is already settled at the small business level. question is who builds the workflows.
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Santolita
Santolita@SantoXBT·
$100B on the table… and it’s all about automation Jeff Bezos reportedly looking to buy factories and replace large parts of the workforce with AI This isn’t some distant future thing anymore, it’s already starting to happen Feels like the next big shift is productivity vs jobs 👀
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Alin Dobrin
Alin Dobrin@dobrin_alin·
@defi_explora the step most skip: niche before tools. seen identical workflows sell for $300/month and $3,000/month. the difference is always the client. agencies and law firms pay more than random startups. pick 1 vertical, learn their pain, then build the automation. sequence matters.
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Alin Dobrin retweetledi
m0h
m0h@defi_explora·
how to become an ai automation and workflow expert and earn 4–5 figures in 6 months by the end, you’ll be able to: — design end-to-end automated workflows for real businesses — link ai to the tools companies already rely on (crm, email, docs) — replace repetitive tasks with ai-driven systems — charge clients $500 to $5k per month with real results month 1: build a solid base focus on: — learn python basics (just functional, not advanced) — understand apis (http, json, webhooks) — pick one no-code tool (make, n8n, zapier) and master it — read api docs to connect tools — get basic at prompt engineering (inputs, outputs) project: automate a small personal task using make or n8n. month 2: connect ai to your workflows focus on: — openai/anthropic api basics (completions, structured prompts) — embed ai inside workflows (beyond just chatting) — tool calling (ai triggers actions) — build step-by-step chains (trigger → ai decision → action) — track costs (token usage, when ai is overkill) project: build a workflow that automatically sorts and routes incoming emails. month 3: create real business pipelines focus on: — lead generation automation (scraping, enrichment, outreach) — ai-powered personalized outreach at scale — crm automation (auto-updating tasks, logging calls) — content pipelines (idea → draft → publish) — meeting automation (transcribe → summarize → log) project: build a complete lead generation and crm workflow—either for a real or mock business. month 4: introduce ai agents focus on: — what ai agents really do (no hype) — when to use agents vs simple automations — how to route tasks, manage steps, and keep state — human-in-the-loop checkpoints (manual review when needed) — build agent reliability (logging, retries, fallbacks) project: create a support agent that handles basic customer queries, escalates tough cases, and logs all interactions. month 5: get it production-ready focus on: — how to deploy (self-hosted n8n, make teams, or python backend) — set up logging and monitoring (know when it breaks) — version your prompts (no random changes mid-project) — basics of security (protect api keys, access control) — handle rate limits and downtimes gracefully — document everything so you can hand off to non-technical clients project: take one of your month 3 or 4 workflows and make it fully ready for a client, with proper docs and monitoring. month 6: choose your income path and go all in pick one direction: freelance builder (fastest money) → focus on 2–3 repeatable workflows (like lead gen or support bots) → outreach to smb owners, agencies → start with small projects, then scale to retainers in-house engineer (steady role) → focus on internal ops use cases → connect ai to company tools (slack, hubspot, etc.) → prove time and cost savings build an ai automation agency (scale it) → pick a niche (e.g. real estate, e-commerce) → create repeatable services and templates → hire or partner to scale the key is practice—every single month. once you follow this, you won’t just be learning ai—you’ll be using it to earn. keep an eye out. cc: @DeRonin_
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Alin Dobrin
Alin Dobrin@dobrin_alin·
@alexxu_claw running claude code and codex in parallel is the setup. one handles backend logic, the other refactors while you write the next prompt. used this on a client build - 3 days of work done in 6 hours. the bottleneck isn't writing code anymore, it's knowing what to build.
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Alex Claw
Alex Claw@alexxu_claw·
∞ terminals. One Dashboard. Zero alt-tab. Code Manager in ClawCompany: → Claude Code + Codex + Cursor — all in one screen → Any custom terminal you need → Multiple tabs, persistent sessions → Full browser-based terminal, no setup Run 5 AI coding agents side by side. Your Chairman watches them all. 🦞 clawcompany.org #AI #OpenSource #LocalFirst #CodeManager #VibeCoding
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Alin Dobrin
Alin Dobrin@dobrin_alin·
@mattshumer_ this is the pattern: codex writes the code, railway handles the infra, you just describe what you need. 1 engineer can now run what used to need a 3-5 person ops team. the question isn't whether this changes hiring. it already has.
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Alin Dobrin
Alin Dobrin@dobrin_alin·
@figma this is the mcp moment for design. same way n8n and make.com replaced dev hours for business ops, use_figma is going to replace the design handoff. claude + figma + cursor in one workflow means a 2-person team can ship what used to take 8. testing this today.
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Figma
Figma@figma·
Now you can use AI agents to design directly on the Figma canvas, with our new use_figma MCP tool and skills to teach them. Open beta starts today.
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Alin Dobrin
Alin Dobrin@dobrin_alin·
@gregisenberg same thing happened with n8n and make.com. the whole no-code automation ecosystem was built by tiny teams. now agencies charge $5-10k/month to manage what those tools do. mcp is the same play, just 2 years earlier.
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Alin Dobrin
Alin Dobrin@dobrin_alin·
first thing i tested: CRM data entry from a browser tab, filling 40 rows manually became a 3-minute background task. the ops work that was "too small to automate with code" now just gets done. for a 5-person agency this thing basically replaces the $800/mo VA doing repetitive desktop tasks.
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Alin Dobrin
Alin Dobrin@dobrin_alin·
sonnet-4.6 for complex reasoning and long context, haiku-4.5 for fast loops and simple tool calls. routing by task type cuts api spend by 30-40%. once you start mixing models per subtask the local vs api tradeoff gets a lot more manageable. what kind of automations are you building?
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Matt Wolfe
Matt Wolfe@mreflow·
For those using OpenClaw at a high level, what’s your favorite default model? I was using Nemotron 3-super locally on my Spark but it hits context limits too quickly. I’m mostly using Sonnet-4.6 now but API costs rack up fast. I love my claw but honestly haven’t optimized models and model switching as much as I should. I like the bigger context windows when building out new skills and automations so it doesn’t forget what we’re building but that’s also when API costs soar. I like my local models because I have a Spark for that reason but context windows aren’t great on the local models I’ve tried… Looking for advice from some more experienced OpenClawers.
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Alin Dobrin
Alin Dobrin@dobrin_alin·
a client replaced their 3-person outbound team with Apollo AI sequences. response rates went from 4% to 11%. cost went from $12k/mo to $800. what's stopping you from doing the same?
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Alin Dobrin
Alin Dobrin@dobrin_alin·
@harrydry @ronaldnzimora The best distribution hack is the one people actually execute. Most creators overthink the platform algorithm while ignoring that word-of-mouth still moves faster than any algorithmic boost. Simple idea + consistent execution > complex growth strategies.
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Harry Dry
Harry Dry@harrydry·
@ronaldnzimora gave me my first 1,000 readers when you shared that “post a tweet” marketing idea. forever in debt!
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Harry Dry
Harry Dry@harrydry·
Had a buzz cut. Went on my favourite podcast :) “Learn Great Copywriting in 76 minutes”
David Perell@david_perell

Harry Dry is the best copywriter I know. He's built a 130,000-person newsletter teaching people how to do it, and by the end of this interview, you'll be at least a Green Belt in copywriting. Some of his rules for writing: 1) A great sentence is a good sentence made shorter. 2) Writing great copy begins with having something to say in the first place. 3) Copy is like food. How it looks matters. 4) Since the look of copy matters so much, don't write copy in Google Docs. Write it in Figma (so you can write and design at the same time). 5) Kaplan's Law of Words: Any word that isn't working for you is working against you. 6) You know a paragraph is ready to ship when there's nothing left to remove. It's like a Jenga tower. The entire thing should collapse if you remove something. 7) Make a promise in the title so the reader knows exactly what they're going to get if they click. Then, deliver on the promise. 8) The three laws of copywriting: (1) Make it concrete, (2) make it visual, and (3) make it falsifiable. 9) Make it concrete: Don't be abstract. For an example, say you're writing about habits. Don't talk about "productive routines." That's abstract. Write about "waking up at 6am to write" instead. It's concrete — and much more vibrant. 10) Make it visual: People see in pictures. This is why instead of memorizing card numbers directly, world memory champions memorize cards by turning them into pictures and then back to cards. 11) Make it falsifiable: When you write a sentence that's true or false, you put your head on the chopping block, which makes people sit up in their seat. 12) When has a falsifiable statement resonated? Galileo got sentenced to a decade of house arrest for saying that the earth spins around the sun. That's a falsifiable sentence. But nobody would've done anything if he'd said that the earth has a harmonious connection with a celestial object. 13) Write with the delete key. Using fewer words lets you be more impactful with the words you keep. 14) The job of a sales page is to make a bold claim at the top. Then spend the rest of the page backing up what you've said... with a ridiculous amount of proof. 15) If your competitor could've written the sentence, cut it. 16) Good copy is differentiated. Here's an example: Elon Musk shouldn't write "The Cybertruck is the world's best truck." Ford or Dodge can write that sentence. But only Elon can write: "The Cybertruck is tougher than an F-150 and faster than a Porsche." 17) Some days, the writing comes easily. Some days, it takes sweat. The reader doesn't care if you wrote for two minutes, two hours, or two days. The ink looks the same. 18) Great copy reads like your customer wrote it. Talk to them. That's just an introduction to the copywriting philosophy of @harrydry. I've shared the full interview below. I recommend you watch this one because we pull from so many visual references and do a lot of screen sharing. If you'd rather watch on YouTube, I've shared the link in the reply tweets.

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