Barely technical and feeling behind on AI? Same. Shipped a real product with AI, without a CS degree or a dev team. Follow for the how, one build at a time.

Joined January 2025
Barely Technical retweeted
Replying to @barelydev
The people building the numerator are forecasting what happens to the denominator. You said that better than any slide I have presented. I will not credit you. The insight will appear in nine-point Helvetica.
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Barely Technical retweeted
Tony stark just had unlimited API tokens
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Barely Technical retweeted
Vibe coding is the new product management. Training and tuning models is the new coding.
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Barely Technical retweeted
SURPRISE - Everyone is one big happy family!
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Barely Technical retweeted
I created my LinkedIn account 46 weeks ago. Very easy algo to crack. Since then I’ve added $100,000+ to my agency pipeline, built ~9,000 connections, and logged 2.5M impressions. Use my system before they close the loopholes. And if you want the full cheat sheet (engagement group templates, carousel playbooks, DM workflows, etc) just: Follow me Repost this Comment “LinkedIn Growth Guide” You must do all three to get the DM. Alright, here is what is working at the moment: Proof + Perspective posts: Screenshots, dashboards, client outcomes combined with your unique narrative. (Data alone isn’t enough anymore, you have to show how you got there.) Story-driven authority: Real experiences, client lessons, small wins or lessons learned outperform generic tip lists. Comment-first growth: High-effort comments on others’ posts unlock visibility. Basically 15-20 thoughtful comments daily create compounding reach. Conversation depth: Posts that spark threaded replies and back-and-forth in comments maintain visibility longer. Audience overlap: Engage across 2-3 adjacent niches (for example SEO, growth, entrepreneurship) so the algorithm surfaces you into overlapping networks. Reposting your hits: Wait 2-3 weeks, then repost your top performing content with a fresh hook. Many posts get a second wind when done well. Native content and relevance: Native posts (text updates, carousels, native video) outperform link-first posts. (The algorithm still favors posts that keep users on the platform.) Evergreen content with a shelf life: Good posts now can get new visibility even weeks later. My current posting routine: I post 3 times per day, 7 days a week. Skipping 36-48 hours hits reach hard. Morning: Text post with strong POV or proof-based story Afternoon: Carousel, annotated screenshot or case study Evening: Mini-thread, framework, or quick lesson Formats performing particularly well: Carousels: Slide 1 = bold headline tied to a pain or result. Middle slides = steps or visuals. Final slide = CTA (“Drop guide below if you want the full system”). Short native videos: Under 60 seconds. Strong first 3 seconds. Subtitles required. Show real process or proof rather than overly polished production. Text posts / micro-threads: Hook in first line. 1–2 line paragraphs for readability. 3-5 bullets are better than long blocks. End with a question to trigger replies. Proof breakdowns: Post a result, then break down how you achieved it in 3-4 actionable bullets. Conversation-driven posts: Pose a real question, share a contrarian POV, or open a loop designed to draw replies and discussion. What’s underperforming: One-liner posts with no context or proof. Long posts that lose readers (walls of text). Generic frameworks reused without showing how you executed them. Posts with external links in body copy that send users off-platform without much engagement first. (If you go this route, at least change the image). Engagement strategy: Comment on 20+ posts/day with meaningful insight, not just “Nice post!”. Like 50+ posts/day, focus on mutuals, active commenters, and adjacent niches. Reply to every comment on your own posts within the first hour. Early responses help signaling. Repost your best posts every 5-7 days with a new hook or angle. DM 5-10 people/day with context tied to something they just posted, context-first. LinkedIn is now rewarding repeated engagement (same people coming back, comment thread depth) more than ever. Hooks & angles converting right now: “I started this account 46 weeks ago. Here’s exactly what $80K in pipeline looks like.” “This 7-slide carousel booked 3 high-value meetings in 48 hours. Slide 1 below.” “If I had to restart LinkedIn in 2025 from zero, here’s the exact playbook I’d use.” “The 3-post-per-day system I use to drive consistent inbound leads.” “$X this month from LinkedIn posts. Here’s how.” Always back claims with proof, so screenshots, receipts, data, etc. or the narrative loses traction. 30-day playbook: Post 3x/day (one of the posts must show a real result or metric). Comment on 20+ posts/day with substance. Like 50+ posts/day. Reply to every comment on your posts quickly (within 1 hour). Repost your top-performing posts weekly with fresh hooks. DM 5-10 people/day with context-first value. Track impressions, comment depth, new leads, and repeat commenters weekly. Test hooks, formats, posting times each week. LinkedIn remains one of the most under-priced growth and lead engines right now. Run this system for 30 days, screenshot your Day 31 results, and tag me when inbound starts. If you want the full cheat sheet (engagement group templates, carousel strategy, DM workflows) then: Follow me Repost this Comment “LinkedIn Growth Guide” You must do all three to get the DM.
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Barely Technical retweeted
X's new algorithm has chosen biological intelligence over artificial intelligence. I am seeing a HUGE SPIKE in typos, flawed logic, and intense emotion 😂😂 Hello humans 👋
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Barely Technical retweeted
Replying to @Tim_Denning
Most people trust what they understand. The 9 to 5 is familiar, predictable, and socially accepted so anything outside of it feels suspicious. But making money online isn’t a scam. It just breaks the script. And when you break the script, people project fear instead of vision. Keep building, proof always shuts down doubt.
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Barely Technical retweeted
EVERYTHING I’VE EVER GOT IN LIFE WAS BECAUSE I CLIMBED CRINGE MOUNTAIN. YOU SWEAT, YOU SHAKE, YOU LOOK STUPID. AND THEN ONE DAY, IT BREAKS OPEN. AND SUDDENLY YOU’RE THE ONLY ONE WITH A VIEW.
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Barely Technical retweeted
> interviewed a vibe coder today > currently has three jobs!! > hasn't completed college > not from a fancy school > aced our difficult interviews > you don't need any fancy degrees to be a 10x-er > kinda mind blowing 🤯🤯
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Barely Technical retweeted
I built a Morning Brew-style daily newsletter that writes itself with AI (now at 10,000 daily readers) (and I’m nuts for open-sourcing it) The AI system behind @therecapai clones how a human writer would function, but each step is packaged into an agentic workstream. The full automation handles: - Daily scrapping hundreds of reddit threads, hackernews, twitter posts, Google news API to build a massive data lake of 'daily AI news' - Dozens of custom prompts to pull the top daily stories from this data lake, write short breakdowns, & format the newsletter - Builds custom images based on each story with ChatGPT image generator This was 5 MONTHS of iterating and fine-tuning prompts to get the output and content to an extremely high quality state (no AI slop) and call me crazy, but I'm giving it away for free. Just Retweet, follow me, and comment on this thread "NEWSLETTER" and I'll DM you the full n8n template that you can copy/paste and fine-tune to your use-case as well as a full hour long video breakdown explaining the build. Also you can see the actual contents of the newsletter for yourself with the link below—proof of the quality that is possible with AI. RIP media companies 💀 AI is here.
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Barely Technical retweeted
LLMs are basically reddit wrappers
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Barely Technical retweeted
The #1 reason Gen AI is failing in large companies is that they have NO CLUE how to apply AI - They won't use SOTA models for "security" reasons - some of them are on-prem dinosaurs - They have data in legacy systems - can't upgrade and adapt quickly They end up trying some basic thing on a half-dead Llama fine-tune, and then declare AI is failing 🤷‍♀️
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HOLY SH*T..🤯 A legend dropped 1000+ N8N workflows in one repo and I'm literally shaking... He scraped EVERY workflow from the official n8n site + GitHub. ✅ E-commerce automation ✅ Social schedulers ✅ Lead gen machines, etc. Workflows worth $10K+ in consulting fees! FOLLOW + RETWEET + COMMENT “YES” & I’ll send you the FULL workflow + setup FREE!
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Barely Technical retweeted
the exact n8n workflow that's printing viral tweets for me (and why I'm borderline stupid for sharing this) most creators are burning 2+ hours daily crafting tweets that flop meanwhile, I text my Telegram bot and get publication-ready content in 30 seconds here’s what happens: → send message to Telegram bot → claude generates hook + full post → tweet gets sent automatically → ask for iterations if needed the secret sauce isn't the workflow (that's easy) It's the prompt engineering behind it I reverse-engineered how top copywriters structure hooks and systematized it into one prompt that consistently outputs 6-7 figure level copy this thing cranks out posts that get: - 10x more engagement than "normal" tweets
- built-in psychological triggers - perfect formatting for mobile scanning - hooks that stop the scroll dead most people are still manually writing tweets like it's 2019 smart operators are automating their entire content pipeline while maintaining quality that puts agencies to shame the workflow takes 3 minutes to set up the prompt took me almost 50 iterations to perfect want the complete system? Comment "WORKFLOW" + follow + repost and I'll send you everything the prompt alone is worth more than most $497 courses
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Holy moly 😲 ChatGPT got more website visits than X in the last 28 days. - ChatGPT had 4.786 billion visits - X had 4.028 billion visits
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Barely Technical retweeted
You want to open-source it, right?
goodbye, GPT-4. you kicked off a revolution. we will proudly keep your weights on a special hard drive to give to some historians in the future.
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Barely Technical retweeted
If you’re interested in LEARNING all of these for FREE: ✎Product management ✎Project management ✎Business analytics ✎Microsoft excel ✎Data analytics ✎Big data ✎Scrum ✎UI/UX ✎Agile ✎SQL (48 Hours only ⏰) To get, Just- 1. Follow Must 2. Like & Repost 3. Reply "Send"
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Barely Technical retweeted
Best subreddits for Founders: r/SaaS r/startups r/business r/MicroSaas r/SideProject r/indiehackers r/ycombinator r/Entrepreneur r/smallbusiness r/Business_Ideas r/RoastMyStartup r/growmybusiness r/AlphaandBetaUsers r/EntrepreneurRideAlong What did I miss?
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Barely Technical retweeted
People are fed up with being treated like piggy banks by games and startups. One of the most highly anticipated games of the year is a remake of Counter Strike but with a twist. No skins. No battle passes. No loot boxes. This is exactly the kind of trend I've been watching emerge across gaming and tech. We've hit peak complexity. Peak monetization. Peak "engagement." And now we're witnessing the inevitable backlash. Remember when games were just... games (lol)? Not skinning simulators with gambling mechanics wrapped around a game? Not psychological experiments designed to extract maximum revenue from your wallet? I predict we're going to see more classic games getting back-to-basics remakes. Players are tired of battle passes, loot boxes, and cosmetic economies that feel like second jobs. They're exhausted by games that are designed primarily as monetization vehicles. This trend extends far beyond gaming. The most successful startups I'm seeing are the ones that ruthlessly simplify. They're not trying to be everything to everyone. They're not cramming in features to justify a higher price point. They're doing one thing exceptionally well. Within the startup world, we've definitely hit peak subscription fatigue. Do you feel it? This is why we're witnessing the explosive return of pay-once-own-forever models. Jason Fried and the once dot com team are pioneering this shift, and they're not alone. The breakout winners of the next five years won't be the companies with the most features or the cleverest monetization schemes. They'll be the ones that make us feel something again - products that respect our intelligence, our time, and our desire for genuine experiences. We're entering the era of the "de-featured" product. Simpler pricing. Cleaner interfaces. Fewer, more thoughtful features that actually solve problems instead of creating new ones. After a decade of moving fast and breaking things, i think we're ready to slow down and fix them.
Counter-Strike 1.6 is getting a full remake 25 years after releasing, called ‘CS:Legacy’ The standalone game, not made by Valve, is being built by CS ProMod and will launch on Steam in 2025
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Barely Technical retweeted
The last few days in AI is insane 🤯 12 most incredible developments from Google, OpenAI, Alibaba, Unitree, Manus and more 1/ China unveils new Quantum Computer ‘Zuchongzhi-3’—a 105-qubit machine that performs calculations one million times faster than Google's Supercomputer.
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