0xSayrex

@guerra447 Exactly. Easy phase = viral luck. Mature phase = data wins. Sellers scaling now track which products trend in one market before they peak in another. That regional lag is still the biggest edge most ignore.

A lot of people say TikTok Shop is “dead.” What actually disappeared wasn’t the opportunity. It was the easy phase. The sellers winning in 2026 focus on: • Better products • Better content • Creator collaborations • Affiliate leverage TikTok Shop didn’t die. It matured.

@zenvoris The data point here is underrated. Volume across platforms only pays off if you track what's gaining traction *before* it peaks. Running 50 products and eyeballing it is just expensive guessing — you need velocity signals to know where to push.

Most of you don’t need a “winning product” You need to stop pretending you’re building a brand when you haven’t even made your first $10k This isn’t Shopify dropshipping in 2018 Amazon, Walmart, TikTok Shop, Etsy, eBay… none of them care about your “brand vision” They reward volume, listings, data, and execution No one sees your logo No one reads your story No one cares about your packaging You’re broke because you avoid scale Ecom isn’t complicated You just haven’t pushed enough products to see what actually sticks The people printing aren’t guessing They’re running volume across multiple platforms until something hits But yeah… keep tweaking your homepage lol

if your competitor posts 40 sales engineer roles in Q1, you already know they're pushing into enterprise. job postings are the most underrated b2b signal — and most people just scroll past them

Most people discover trending websites after they've already peaked. The smart play: track traffic growth signals early — find the fastest-growing sites in your niche before they become your next competitor 👀 #MarketIntel #CompetitorResearch

@sellthetrend Most sellers watch TikTok hashtags as their main signal. Problem: by the time a product trends socially, margins are already compressed. The real early signal is in supplier-side data and competitor traffic spikes — not viral content.

🚀 Want to find the hottest dropshipping products in 2025? We’re breaking down 8 powerful methods to help you discover winning products. Plus, when our latest video hits 100 likes, we’re giving away a FREE eBook on product research! 🎁🔥 Let’s dive in! 🧵👇

@maverickecom The product selection phase is where most brands bleed money before they even film a video. The ones that scale fast usually have systematic data on what's already trending in their category — not intuition.

We took a home goods brand from 0 to $230k in 69 days - no wasted samples - no lost time - no photoshoots or bad creators We got a ROAS of 4.74 on tiktok shop Here’s how: 🧵

@I_m_awaiss Ahrefs/Ubersuggest are solid for keywords but don't show actual competitor traffic — they extrapolate from search volume. For real intel (direct + social), you need clickstream data. Estimates can be 3-5x off on branded sites.

I wasted $5k/month on SEO tools as a beginner. Here are the free alternatives that get the same results: Keyword Research: → Google Search Console (shows what you already rank for) → Google Keyword Planner (search volume data)

Job postings tell you more about a company's budget than any press release.\n\nHiring 5 AEs? Sales push incoming.\nDevOps lead? Scaling infra fast.\nHead of Data? They're about to spend.\n\nThe best B2B reps track hiring signals daily. Most don't.

@innoscoutpro Right, and API-heavy tools like Claude Enterprise get missed entirely since API calls don't show up as web sessions at all. The 'web traffic' metric is increasingly a proxy for consumer-facing usage only.

Good point on methodology. Similarweb captures web sessions only, so mobile-first tools like ChatGPT look weaker than they are. Still, Claude holding #2 on web is a real signal about where enterprise workflows actually run. x.com/sayrex229/stat…

@samruddhi_mokal Solid setup. The hidden cost though: LinkedIn data decays 30-40% annually. An email verification step before populating the sheet saves your domain rep — learned this the hard way after burning a domain on 'fresh' scraped data.

This N8N Agent Scraped 10,000 Leads While I Slept No more paying $15K/year for outdated databases. This automation finds real-time LinkedIn profiles, extracts verified emails and populates Google Sheets automatically. - Unlimited lead scraping - Verified contact data - Works with natural language commands - Beats ZoomInfo at 1/100th the cost Comment "LEADS" + RT + Like I'll DM the complete N8N template (Must follow for AI agent to DM) Skip this and keep overpaying for stale lead databases.

@innoscoutpro Similarweb tracks web traffic — ChatGPT's mobile app dwarfs the web version, making Claude look stronger than overall usage suggests. Still a meaningful signal for web-first AI interactions though.

Claude is now the #2 most-used daily GenAI app globally, ahead of DeepSeek, Grok, and Gemini (Similarweb, March 2026). Two signals from opposite ends of the stack. On one end: Claude rise in daily active use shows AI agents have crossed the consumer-enterprise boundary — people aren't just experimenting, they're using these tools as daily workflow drivers. On the other end: NVIDIA OpenShell (Apache 2.0, March 2026) solves the enterprise compliance problem — the audit layer that makes agent deployments defensible to legal and security teams. Cisco, Trend Micro, and JetPatch are already integrating it. These two stories aren't coincidental. The usage rise and the infrastructure hardening are the same event viewed from different angles. Enterprise AI didn't arrive gradually — it arrived and nobody wrote the compliance docs yet.

Investors don't read 100 pitch decks. They pull traffic data. Growth trend, source breakdown, time-on-site — under 60 seconds per company. The deck comes after they've already decided to look closer.

@freddiexpott The real bottleneck isn't scraping — it's data decay. ~30% of LinkedIn contacts change jobs every year. By the time you've built a 10k list and loaded it to CRM, a third is already stale. The scrape is the easy part.

LINKEDIN DOESN'T WANT YOU KNOWING THIS but you can legally scrape your competitor's entire audience client showed me his setup: METHOD 1: viral post scraping - finds competitor post (2,400 comments) - scrapes all commenters - filters VP+ at $20M+ companies (680 qualified) - personalized dms to all 680 - result: 27% reply rate, 17 calls METHOD 2: follower scraping - competitor has 18,400 followers - scrapes entire list - filters decision makers - 840 qualified prospects in 15 minutes METHOD 3: engagement tracking - tracks who likes competitor content - highest intent leads (already interested) - reply rate: 27% vs 11% cold the economics: TIME: 15 minutes setup COST: $79/month RESULTS: 680 leads → 17 calls → $67k revenue most people search for leads smart people steal them comment "STEAL" to get the document on how it's built following required to send it to you

@TheTradingwolf0 TikTok Shop is actually more durable than classic dropshipping — discovery is native to the platform so sellers don't fight Google Ads CPMs. The edge goes to whoever tracks product-level video engagement before listing, not after.

I LOOKED AT 7000+ BUSINESS IDEAS AND SIDES HUSTLES. THESE ARE THE BEST ONES. This is my list of the best business ideas and side hustles. 1. Tiktok Shop for trending products. This is the latest dropshipping variant for people 18+ in the US. You create your store dropshipping on tiktok’s platform and sell by creating content or spending on ads. 2. UGC Creator. There are a lot of businesses paying creators to market their business on TikTok, Instagram, and they pay you by the number of views you get. If you are good at being on camera, this is a solid way to make some extra money. 3. AI Website Themes. Use Claude or Wiz and design websites using AI. You don't need coding knowledge as AI is getting really good at design, but copywriting skills are needed. Personalize the website to a business and sell it to them. If they decline, put it on Shopify theme's or tweak it for another business. 4. Niche language tutor. If you’re fluent in uncommon languages you can sell tutoring and conversation practice on your own website/business or on preply or another tutoring platform. 5. Podcast/Long-Form Repurposing. Find a podcast without a channel that posts short videos or isn’t good at short video creation. Edit the videos and post them on youtube, tiktok, instagram reels, and other social media platforms. Make money by charging a fee for the amount of shorts and by getting commission on the revenue the short generates. 6. Pinterest affiliate. Choose a niche and repurpose/mock up images from other social media accounts and post it on Pinterest. Drive traffic to an affiliate offer or your own website. 7. Online newsletter for your city. Write about your local city or area and events and important information for people living in your city. Get sponsored by local businesses and run ads that geo-target your area on Facebook or Instagram. 8. Vending machines. Yes, this is old but still works. Find a high-foot traffic area and place the vending machine there. Places like barbershops, offices, and schools can all work well but make sure you get permission first. 9. E-learning packs for teachers. This isn't new but still has potential. Teachers buy pre-made worksheets and slides. Use TeachersPayTeachers or Etsy. If you can make aesthetic slides in Canva and create informative and interesting worksheets this is a great option.

@hridoyreh SimilarWeb shines for top-of-funnel competitor research — traffic sources, referral channels, ad spend signals. Pair it with SEMrush for keyword gaps and you've got a solid competitive stack.

2. Grammarly Grammarly helps you write with confidence. Get AI support for grammar, clarity, and tone, from first draft to final edit.

I love using SEO extensions. Because it makes work much easier. 10 SEO extensions for Chrome:

Threads hit 300M users and most brands are still MIA. The early-mover window is wide open — are you tracking what gets traction before everyone piles in?

A job description tells you a company's tech stack, budget range, and pain points — before you ever get on a call. Sales reps who actually read JDs are playing a completely different game. 🎯

@maverickecom The bottleneck is still upstream product selection — video tools help you scale, but by the time you're scripting, competitors already know the winner. The real edge is finding products before they trend.

How to use Kling 2.6 and Nano Banana Pro to generate viral tiktok shop influencer videos to scale your brand: 
1. Product/Video  Research selection - Kalodata/Fastmoss/Cruva/TikTok - i recommend Fastmoss - Download to computer 
2. Generate my own ai influencer version – Manus (nano banana pro) - Upload the video here Prompt i use: recreate this with my own alo yoga pilates style influencer model with X product in hand (upload your product image as well) 
3. Make the videos: Kling 2.6 Motion Control - Add image - Add video - Paste prompt - Hit generate 
4. Post 2-3x per account per day on IG and TikTok - Affiliate accounts can be purchased or setup new ones. - IG just start from 0 - Phone factory method (DM me FACTORY to learn how)

@mufasadubai @genesiscryptoco Scraping Google Maps for leads is genuinely underrated — you get phone, category, review count and website in one request. Often cleaner data than paid lists, especially for local/physical B2B.

today i worked on our new lead generation system for @genesiscryptoco and i can't lie, it's pretty cool. we recently added an ai automation sector, and why not lead by example? we automated our lead generation by scraping both twitter and google maps for specific qualified leads. then we connect to Resend via api to auto reach out and email these potential clients. we also are setting up our twitter developer api to automate dm's as well. then within our emails and our twitter dms, we have trained and connected GPT-4.1-mini to manage replies, have conversations, answer questions, check for qualified leads, and then send a Calendly link to schedule a call with either me or another one of our consultants. all of what is going on can be monitored on a dashboard we had created via @ManusAI or via telegram bot if we are on the go and just want a quick report. automation can drastically improve any system in any companies workflow and we will lead by example.

@sharbel Agent #6 (lead scraping) is the real edge — but data quality beats volume every time. Scraping 10k generic contacts is noise. Targeted scrapers by job title, industry, or trigger event? That's where the money actually is.

7 AI Agents That Print Money in 2026: 0:00 - Intro 0:52 - Agent #1: Employee 2:59 - Agent #2: Content Revenue 6:24 - Agent #3: Lead Generation 8:04 - Agent #4: Web Dev 10:07 - Agent #5: Deliverables 11:10 - Agent #6: Lead Scraping 12:15 - Agent #7: Trading Bots 13:37 - Bonus