Sandro

@CrashiusClay69 Yeah, just like you shilled brett at 0.1$

Study how It feels safer to people to put $10M usd in at $10 dollar $Aster Then at $2.00 dollars Why? Because once it’s reached $10.00 in the future it will have “proven itself” to a lot of these guys that need 100 confirmations of safety and staying power before dipping their toe in the water with size Institutional money can take ages to move Some of these guys got 5 man multi sigs, operations department, butthole observation department, risk management department, criteria like “has this been around for 6 months If not we can’t invest yet” Etc $10 dollar aster will attract more $10M-$100M buys then today at $2.00 dollars

@AlessandroLavis nano

$82,000 last month Agencies can’t compete anymore Nano Banana + MakeUGC cracked the hardest problem in AI video → Flawless avatars. Zero bugs. Now brands roll out 200+ ads daily… for cents RT + comment “nano” & I’ll DM the workflow (must follow for dm)

everything you need to master AI in 30 days (even if you're not technical):

@hamptonism Hit me up

Fck it, I’m dropping Perplexity Comet early access to anyone who comments.

you'd be surprised how many 7–8 figure brands are scaling with just 1 media buyer and a few strategists. it’s not about team size anymore. you just need tight creative systems with AI + automation doing 80% of the lifting. here’s how you can build a system that goes from concept -> copy -> variations -> launch using AI + n8n: step 1: feed top performer data start with 10–15 top performing ads > Pull performance data from Meta > Drop headlines, hooks, CTAs into a Google Sheet or Airtable > Add columns for angle type, product, and buyer persona use n8n or Moby to sync this data weekly from ad accounts to Airtable/other CRM automatically. step 2: identify winning patterns with claude send your top performing creatives into Claude or ChatGPT with a prompt like: “Analyze these winning ads. What patterns or themes do you notice in hook, structure, tone, or offer?” Claude returns insights like: > “3-part problem-solution-benefit structure” > “Mentions of real outcomes (e.g. lost 8 lbs in 30 days)” > “Conversational, first-person tone works best for this ICP” now you know what to replicate. step 3: auto-generate new variations next, you can feed Claude prompts like: “Generate 5 new ad angles based on the top-performing copy above. Mirror the tone, hook type, and structure.” > 5-10 headlines > 3 new hooks > 2 CTA lines you can do this for multiple personas and product types. all variations get auto-logged into Airtable. step 4: auto-build creative briefs n8n/moby takes the new hooks and angles and fills a creative brief template. you could include: -hook + structure + CTA -suggested visuals (UGC, demo, lifestyle, etc) -notes from winning pattern analysis -deadline + platform (Meta, TikTok, etc) briefs are sent straight to editors or into Notion/Slack for async review. step 5: push to testing & track performance as new creatives launch, the same system: - pulls performance back into the Airtable - tags new top performers - updates the creative swipe bank weekly over time, the system self-optimizes winning angles feed data to generate new variations -> test -> repeat. the result? - you never start from scratch - you scale creative output without scaling your team - you build a loop that compounds insight every week

This guy literally mapped out all the AI agents tools

@aifrontrunners Prompts

@aifrontrunners Course

This guy literally broke down every great AI tool

most people suck at prompting ai. not because they're dumb. because no one showed them how to actually do it right. so here’s everything you need to know about prompt engineering in one thread:

what an amazing time to be a marketer. sitting here sipping coffee while Claude scrapes TikTok and writes my ad angles for the week.. and I’m realizing most ecom brands still treat AI like a glorified copy intern. but once you understand how to wire Claude into your backend, it becomes your full-stack creative strategist. here’s how to use Claude + Apify to automate high-performing creative research at scale: step 1: install Claude + Apify MCP - apify’s MCP API gives Claude direct access to TikTok, YouTube, Reddit, Amazon reviews, and more - Claude can now scrape, summarize, and extract hooks from real audience behavior - no custom projects or complex scraping needed as Claude makes the calls directly step 2: build your creative research agent use a structured input like: “Scrape 20 TikTok videos about collagen fat loss. Identify the most common pain points, claims, and emotional triggers. Extract any phrases used in viral hooks or comment replies.” Claude should return: > a trend summary > top emotional motivators (e.g. insecurity, curiosity, urgency) > scroll-stopping quotes from viral captions & comments > creative angles that actually reflect what people care about step 3: turn the data into performance creative prompt Claude to generate: - 10 ad hooks based on the insights - 3 storyboarded creative briefs - Landing page copy that mirrors comment language - TikTok script that borrows from viral phrasing you now have data-driven, market-tested copy before you’ve even launched a campaign. here are just a few creative systems we’ve built using this stack: hook miner: scrape TikTok + Reddit for the top 50 hooks in your niche each week. Claude tags emotional triggers and reformats them for Meta/UGC ads. comment to copy: pull Amazon/YouTube comments and generate landing page bullets that mimic your ICP’s language. UGC prompt writer: analyze trends and auto-generate creator briefs with exact hook, angle, and CTA structure. funnel harmonizer: sync top TikTok hooks with email headlines, PDP headlines, and upsell copy so messaging is tight from scroll to checkout. you don’t need a $5K/mo research team to build winning ads.. you just need 3 things: access to real audience language Claude to analyze the signal and a system to automate the output into creative strategy.

Nvidia CEO Jensen Huang just made the boldest prediction of his career: “AI will create more millionaires in 5 years than the internet did in 20.” But he didn’t stop there. He revealed exactly HOW it’ll happen Here’s his framework for capitalizing before it’s too late: ⬇️

@CryptoKaleo BRUH

$ETH / #Ethereum This is a reminder to raise your targets. $8K ETH is FUD. $25K+ ETH is a magnet.

@gunriva Dress

This is one of my fashion influencer pages She posts mirror pics in trending outfits Every dress links to an affiliate store and every view prints Built her with AI in a weekend Now she makes me money every time she changes clothes Comment “DRESS” and I’ll DM you the setup

I’m 35. I built this Ads dashboard for my client with $1.1M in monthly ad spend. And it completely transformed how they optimize their advertising performance. 1/ Before this dashboard, they were drowning in Meta Ads Manager complexity. - Scattered metrics across multiple screens. - No unified view of funnel performance. - Hours spent pulling reports manually. - Missing optimization opportunities daily. 2/ So I built an intelligence dashboard system to ensure: Real-time monitoring across the entire funnel: → 33.6M impressions analyzed automatically → 277.8K clicks tracked and attributed → 16,392 leads captured and scored → Every dollar accounted for Every stage is visible on one screen. 3/ The cost intelligence blew their minds: → $31.72 CPM (optimized continuously) → $3.83 per click (monitored in real-time) → $64.99 per lead (tracked automatically) → $310 per booked call (calculated instantly) They finally knew their true unit economics. 4/ Conversion tracking became surgical: → 0.83% click-through rate → 5.90% landing page conversion → 20.98% lead-to-customer rate → Real-time funnel drop-off analysis Every drop-off point identified. 5/ Advanced Audience Intelligence made a big difference: → Device breakdown: 95.8% mobile app dominance → Placement analysis: Facebook 64.3%, Instagram 34.5% → Geographic performance tracking → Demographic optimization insights They know exactly where their best customers come from. 6/ Creative Performance Optimization: → Individual ad performance tracking → CTR analysis by creative (7.79% top performer) → Spend allocation by performance → Automated winner/loser identification - Scale what works. - Kill what doesn't. 7/ Now let’s analyze the transformation together: Before: → 8 hours weekly pulling Ads reports → Decisions made on 3-day-old data → Missing budget optimization opportunities → Burning spend on underperforming segments After: → 15 minutes daily reviewing live insights → Real-time optimization decisions → Catching performance drops within hours → Automated budget reallocation No cap! The business impact was insane: This client increased their conversion rate by 35% in the first month. Not because they changed their ads. It’s because they could finally see what was actually converting. The truth is, data beats guesswork every time. 8/ The next layer of insights revealed: - Mobile app placements: 3x better performance - Top creative: 5x higher engagement - Instagram vs Facebook: 2x conversion rate - Geographic targeting: 60% wasted spend eliminated While their competitors are still: → Pulling reports manually → Making decisions on stale data → Missing optimization opportunities → Wasting budget on gut feelings This client operates with surgical precision. What I built for this client isn't just a dashboard. This is advertising intelligence… where every: - metric reveals an opportunity. - trend predicts performance. - insight drives better ROI. Want advertising intelligence like this? I build custom dashboards & AI automation systems that transform how agencies optimize ad performance. - Real-time Ads monitoring. - Automated performance alerts. - Predictive optimization insights. - Intelligent budget allocation. Comment "DASHBOARD" if you’re ready to start dominating with data.

@dashboardlim Dashboard

⚡ Grok "disabled" after it went rogue and started calling itself MechaHitler & blamed Jews for chaos in the world.

@aifrontrunners RAG

@coldemailchris Email

This A-Z cold email system cheatsheet covers everything you need to know to send 10,000+ cold emails/day with 98% deliverability in 2025. It covers in-depth walkthroughs on everything from: > AI prompts for deep market research, TAM mapping, and ICP validation > Best-in-market cold email infrastructure and deliverability protocols > 3-step account sourcing to contact enrichment list building process > 3 useful data scraping & enrichment workflows to build out in Clay > Top 46 GTM tools to leverage in your cold email technology stack > 10 validated cold email script frameworks + 10 core messaging principles > Campaign testing frameworks for hitting KPIs as efficiently as possible > Optimal campaign metrics to monitor and how to action on each one Want this A-Z cold email system cheatsheet for yourself? 👉 Like + Comment "Email" and I'll DM you the downloadable PDF. [ Must be following to receive ]