Seth Talbott

@demeteralexx Spy

Marketers burning $50k+ "testing" things their competitors already perfected So I built a 7-agent system that spies & tells you what to steal Funnel scraper, ad intelligence, cro psychologist, gap analyst, copywriter, strategist Reply "Spy" + RT & I'll DM it Must follow

@Alphaecho207 SEO

Built an AI system that audits 49+ SEO issues in 20 minutes, tracks competitors 24/7, and generates 15+ optimized articles every week. It replaces $500 manual audits that take 3 days. Recently onboarded 5 new clients most use it to attract more clients and boost visibility. Testing with 3 more companies now. If you want it: Like + Comment “SEO” I’ll DM you the details.

@_toddanderson @openclaw Hermes

Our @openclaw speed to lead agent increases lead responses by 30% for blue collar businesses. Want the document showing you EXACTLY how we built it? Like + comment "Hermes" and we'll send it to you. (must be following for a DM)

@thedennis Hooks

The hook is 80% of your ad's performance. But most brands spend 80% of their time on everything else. I compiled a bank of 100+ hook frameworks we've tested across 250+ brands. Organized by: → Awareness level → Emotional trigger → Product category → Format type Like & comment "HOOKS" and I'll send you access for free.

@LucasHogie Opus

🚨 BREAKING: R.I.P. CLICKFUNNELS. Opus 4.6 ONE-SHOTS entire VSL funnels now. I compressed my entire VSL framework into a single 5,280-word prompt. The same framework that's generated $1M+ and 500+ booked calls. HOW IT WORKS: You plug in your offer details. It spits out: → Full VSL script from hook to close → Built on the persuasion structure behind EVERY high-converting agency funnel → Generated $1M+ and 500+ booked calls This thing can INSTANTLY double your booked calls. Use it now or get left behind. 🤘 Like + reply "OPUS" and I'll DM it to you

@LeadpoetAI Poet

Introducing Leadpoet. The AI agent that delivers ready-to-buy prospects on demand. Your next customer is already looking for your solution. Leadpoet finds them. Comment “Poet” and we’ll send you 100 free lead credits for your ICP.

@itsalexvacca Intent

We've sent over 23M cold emails. These 54 intent signals got us 5-11% reply rates, consistently. Most cold outreach fails and it's not because of your copy. Neither is it your subject line or your offer. It's your TIMING. If you reach out when the buyer raises their hand, so will everyone else. Your clients' inbox is now a warzone and you're just another name in it. The best time to reach out is right BEFORE that moment. That window where something changed internally but it's not obvious to the market yet. → Hiring spike in a single department = Someone just got budget approved. → A key tool stopped working in their stack = They're evaluating alternatives. → They raised funding without adding headcount = They're going to outsource. Those are real intent signals. Not generic job postings scraped off of LinkedIn or a list you could buy with 50,000 names on it. We use 54 of these triggers at ColdIQ to find high-conversion opportunities before the competition even knows they exist. And they keep us at 5-11% reply rates across the board, consistently. Want the full list? Reply "INTENT" and I'll send it. Must be following.

@techwithashiqur File

🚨 LEAKED: 119 Premium AI Agents (FREE) Missed it earlier? Here it is again. Worth $3K+ per build — now FREE for first 2,000 only Inside the file: → Booking & outreach automations → Scrapers, support agents & cold email engines → Social listening & lead gen bots → Content pipelines & auto schedulers → AI copywriters & chatbot funnels → Form-to-CRM + data enrichment bots → Reviews, reports & survey analyzers Battle-tested systems used by top agencies to close $7K+ clients To get access: ✅ Comment “File” ❤️ Like & Retweet ➕ Follow @techwithashiqur for fast DM ⏳ No comment = no DM. Move fast.

@AriyanA32556 Steal

Built in n8n — it: 🔁 Clones viral TikToks ✍️ Rewrites w/ GPT-4o 🎥 Auto-generates avatar videos 🎬 Adds captions + edits them 📤 Posts to 9 platforms (TikTok, IG,YT,X, etc.) To Get It.. 🔁 Like + RT🫂 💬 Reply “Steal” 📩 Must Be Follow me & I’ll DM you.🤝

@yanndine claude

If you don't have my "Complete Claude Prompt Library for SaaS Engineers" yet... The one I built to cover every GTM function you run with 1315 pre-built prompts across positioning, outbound, retention, and founder-led growth… Just comment "CLAUDE" and I'll DM it to you for free (must follow)

@charaf_ecomwize 4

How to go from 1% to 8% conversion rate? Stop sending every single visitor to the same product page. You have 4 types of buyers hitting your store right now. Each one needs a different page or you're literally paying Meta to bounce them. 👥 Your audience ┃ ┣ 👤 Unaware ┃ ┗ Never heard of you, needs a story first (Advertorial) ┃ ┣ 👤 Problem Aware ┃ ┗ Knows the problem, doesn't know you're the fix (Listicle) ┃ ┣ 👤 Solution Aware ┃ ┗ Comparing options, needs proof you're the one (Landing Page) ┃ ┗ 👤 Most Aware ┗ Ready to buy, just give them the damn page (Product Page) Same product. 4 entry points. Each one matched to where the buyer is. This is the stuff nobody tells you when they say "just run more ads." @ecomwize builds all 4 with AI in 10 minutes. Comment number "4" and I'll send you the templates. (must be following)

@AriyanA32556 Steal

HOLY SH*T… This AI Agent does everything 🤯 Built in n8n : 🔁 Clones viral TikToks ✍️ Rewrites w/ GPT-4o 🎥 Auto creates avatar videos 🎬 Adds captions & edits 📤 Posts to 9 platforms (TikTok, IG, YT, X…) 🔁 Like+RT ✅ Reply “Steal” 🤝 Follow me & I’ll DM you workflow FREE.

@sarfraj_ab75685 Banana

@TechWith_Nova Claude

I rebuilt my viral TikTok AI agent with Claude Code in 37 minutes 🤯 A full research-to-brief pipeline that scrapes TikTok, analyzes videos with AI, and generates creative briefs for your clients. All inside Claude Code + Replit. Perfect for creative agencies and DTC brands who want to turn competitor research into briefs without the manual grind. Look, all e-commerce brands & agencies should have at least one person on their team who is their "AI expert" & can vibe-code apps & workflows like this. Here's what the Claude Code version of my TikTok Agent does: → Search TikTok by keyword, date range, and video count → Pull engagement metrics, captions, and thumbnails → Gemini actually watches the video and analyzes the hook → AI scrapes comments for common questions and insights → Generate a full creative brief based on your template + brand bible No watching videos manually. No copying notes into docs. No rewriting briefs from scratch. What you control: - Multiple client projects with separate brand bibles - Your own creative brief template - Which videos to analyze and brief - Full customization through Replit's AI agent Research → Analysis → Brief. One workflow, running a custom, mini-SaaS inside your company I recorded a full walkthrough showing exactly how I built this from scratch. Want the full tutorial? > Like this post > Comment "CLAUDE" And I'll send it over (must be following so I can DM)

@recap_david Image

A useful trick for making AI photos look 100% real: (it's not always the model — it can be the color grading) Out of the box, Nano Banana Pro can have a gray, flat look. Good composition, but these scream AI. Here's the system that fixes it: → Grab a reference photo from Pinterest with the exact aesthetic you want → Feed it to ChatGPT 5.2 with a prompt that extracts a detailed color grading JSON → Paste that JSON into image generator (Calico AI) → Generate your product photo. (the colors are now based on the reality you specify, not AI defaults) → Save that character as your reference for facial consistency across future shots From here you can build a full UGC model library. No creators. No shoots. Comment "IMAGE" if you want me to send you every prompt in this system (must be following so I can dm you!).

Just saying…

@iamliamsheridan Benchmark

instantly just analyzed billions of cold email interactions. 58% of replies come from your FIRST email. mess this up and no amount of follow-ups will save you. here's what elite senders do differently: → emails under 80 words (forces clarity) → problem-first positioning (solution comes second) → single CTA only (binary questions convert best) → wednesday sends get peak engagement → 4-7 touchpoint sequences capture 42% more replies the biggest mistake i see? focusing on volume instead of precision. reply rates haven't dropped despite growing email volume. that proves relevance wins over reach. i compiled everything into the full instantly 2026 benchmark report: - reply rate benchmarks by tier - why step 1 matters most - optimal sending schedules - domain health tactics - 2026 trends comment "BENCHMARK" and i'll DM you the full report.

@dan__rosenthal PDF

I've spent the last few years working with dozens of enterprise and YC-backed sales orgs. The most important thing I learned from these $100M+ sales teams: They’re using AI WAY differently than everyone else. The gap between teams using AI well... and teams not using it at all... Is getting scary. So I created a single resource that covers all of it. AI for sales in 2025 - from top-of-funnel to closed-won. Inside, I’ve included: • 16 AI vetted tools the top 1% are using. • 18 AI use-cases broken down by funnel stage • 3 full prompt frameworks you can copy and paste today • Complete inbound and outbound workflow diagrams • A model comparison guide (GPT 5 vs Claude vs Perplexity vs Gemini) • The best thought leaders to follow so you can stay up to date For the next 48 hours, we're giving away the full high-res PDF for free. If you want access: Comment "PDF" and I’ll personally DM it to you. (MUST BE FOLLOWING) PS If you're in sales or outbound, this will save you months of experimentation.

@lukepierceops Infra

I found a way to sell AI infrastructure to companies doing $2M-$50M/year. ALL with no sales team, enterprise connections or cold calls. Businesses are desperate for Ai implementation right now and anyone can do this. But most people get it wrong and that's why they fail. They lead with tools, ex) "we build automations" or "we integrate AI." That means nothing to a CEO managing 40 people and $5M in revenue. They pitch features instead of showing the cost of doing nothing. And they price hourly, so the buyer treats them like a freelancer instead of a partner. Mid-market and enterprise companies are bleeding $100K-$500K/year on broken processes, bloated SaaS stacks, and manual work they don't even realize they're paying for. They WANT to buy AI infrastructure, they just don't trust most people selling it. Because most people selling it sound like every other agency. I created a guide breaking down exactly: → How to position AI infrastructure so executives actually listen → The discovery framework that turns a 30-min call into a $25K-$100K project → How to calculate ROI so the price sells itself → The 3-pillar strategy process that closes 60%+ of qualified prospects → Why "sell the map before you sell the build" changes everything RT + reply "INFRA" and I'll send you the FULL guide (must follow so I can DM)

This assumes they didn’t mean to kill off external tools for accessing X/Twitter. It seems clear that they were looking to push all engagement inside the App they control and weren’t concerned about losing developers who were trying to pipe the Twitter data through a different platform. Some of the best user experiences were outside the default App before this and that wasn’t going to work for what they have in mind.

X just admitted its 2023 API strategy was a $42,000/month mistake. The timeline tells the whole story. January 2023, X killed Tweetbot, Twitterrific, and 25+ third-party clients overnight with zero warning. Developers who had spent 16 years building on the platform woke up to revoked API keys and radio silence. Twitterrific’s maker said “we’re in the dark just as much as you are.” Then X rolled out a pricing structure so aggressive it created a dead zone: $200/month Basic with 15,000 tweet reads, or $5,000/month Pro. Nothing in between. For context, the old Twitter API was free for most use cases. The result was predictable. The entire indie developer ecosystem evaporated. Thousands of apps, bots, analytics tools, and integrations simply disappeared. The developers X is now calling “the core” of its community are the same developers it systematically drove away three years ago. Now they’re offering $500 vouchers and pay-per-use pricing to lure them back. But here’s what the “We’re so back” framing misses: Social Media Today ran the numbers on the new pay-per-use model, and for the same usage the $200/month Basic plan covers, it would cost $575/month under the new system. The per-request pricing is actually more expensive for typical use cases. So who does this actually help? Micro-builders who need 50 API calls a month and couldn’t justify $200. That’s a real market. But the power developers who built the apps that made Twitter’s ecosystem legendary? They left for Mastodon, Bluesky, and custom ActivityPub implementations. Most aren’t coming back because the trust problem runs deeper than pricing. X destroyed its developer ecosystem in 2023, spent three years watching Bluesky’s open AT Protocol attract the exact builders it pushed away, and is now trying to rebuild with usage-based pricing that’s more expensive for the people it needs most. The $500 voucher is the tell. When you have to pay developers to try your API, you’ve already lost the plot.