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1.6K posts


Claude and Codex can "steal" your competitors’ traffic
-Tired of them dominating all money keywords? Solved.
-Tired of not knowing what they rank for?
Solved.
-Tired of missing the high-volume gaps they ignore? Solved.
You just install a SKILL and you're ready to roll.
Can run automated daily scans on a schedule
Comment "RANK" and I'll send it!
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Claude + TrendTrack + Meta MCP + Higgsfield MCP = 💰💰💰
On prend un virage et t'as pas intérêt de le louper
J'ai trouvé des produits qui spend 1k/day et 5k/day avec des prompts. En 2 minutes. Depuis Claude.
Concrètement:
Tu connectes Trendtrack à Claude:
- tu t'inscris avec Trendtrack avec ce lien: trendtrack.io/?fpr=etienne
- tu vas dans Claude
- Paramètre (Settings)
- Connecteur
- tu mets ce lien: api.trendtrack.io/v1/mcp
- tu connectes ton compte
et voila, tu peux trouver des winners en 2min
Voici ce que tu peux faire concrètement:
▸ TROUVER DES PRODUITS GAGNANTS
"Trouve les winning products de la semaine dans la niche [niche], prix 30-80€, marché FR/BE."
"Trouve les boutiques Shopify dans [niche], FR/BE, trafic croissant ce mois-ci."
"Trouve les boutiques qui ont lancé une nouvelle ligne de produits dans les 30 derniers jours dans [niche]."
"Sors les boutiques avec un budget pub Meta supérieur à 5K$/mois dans [niche], filtre EU."
▸ SPY UNE BOUTIQUE COMPLÈTE
"Fiche complète de [URL] : trafic, croissance, pubs actives, annonceurs liés, produits best-sellers, réseaux sociaux."
"Donne-moi la stack technique de [URL] : thème Shopify, apps installées, pixel, Trustpilot rating."
"Compare ces 3 boutiques sur leur stratégie ad : volume, longévité moyenne, mix créa."
"Trouve 10 boutiques similaires à [URL], classées par signaux de croissance."
▸ SURVEILLER UN CONCURRENT EN CONTINU
"Surveille [URL] et alerte-moi quand ils lancent une nouvelle pub, une nouvelle landing page, ou modifient leur cadence email."
"Analyse les changements sur cette marque trackée les 30 derniers jours : nouvelles pubs, hooks, landing pages, messaging."
"Liste tous les changements de la semaine sur mes 10 brands trackées." (daily_radar)
▸ INSPIRATION CRÉA PAR NICHE
"Inspirations créa pour [niche] : top accroches, pages de vente, angles, répartition média."
"Sors-moi les 10 hooks les plus utilisés dans [niche] cette semaine, classés par fréquence."
"Quels formats (vidéo / image / carrousel) tournent le plus longtemps dans [niche] ?"
"Trouve les pubs qui tournent depuis plus de 6 mois dans [niche], sorties par budget estimé."
▸ DÉCORTIQUER UNE PUB SPÉCIFIQUE (Pro plan)
"Décortique cette pub Meta : hook, structure copy, page de vente, audience démographique, durée de vie, verdict scaling."
"Trouve toutes les déclinaisons de cette pub gagnante chez ce concurrent."
▸ STRATÉGIE EMAIL D'UN CONCURRENT (Pro plan)
"Donne-moi la cadence email de [URL] sur 30 jours + les 10 derniers subject lines + catégories de contenu dominantes."
"Compare l'email strategy de [boutique A] vs [boutique B] : fréquence, formats, hooks subject."
Donc si on résume :
→ Trendtrack MCP = la data du marché.
250M de pubs, 5M de boutiques, des mises à jour chaque jour. Tu vois ce qui scale, qui clone qui, quels angles dominent.
→ Meta MCP = la data ton compte.
Quelles créas ont le meilleur CPM cette semaine ?
Quel angle convertit sur l'audience FR 25-34 ?
Combien j'ai dépensé sur le produit X depuis 30 jours ?
→ Higgsfield MCP = on génère de la créa.
- t'ouvres claude code
-> Paramètres
-> Connecteurs -> mcp.higgsfield.ai/mcp
Tu peux lui dire ensuite :
Génères moi des images par rapport au csv de facebook ads, sur l'angle X
Génère-moi 5 vidéos d'ad au format 9:16 sur cet angle, ce produit, ce hook.
→ Claude Code = l'orchestrateur. Tu enchaînes les 3 dans un même prompt.
▸ Ce que tu peux au GLOBAL avec tous les MCP sur Claude : (Trendtrack + Higgsfield enchaînés)
"Trouve le top angle de la niche [X] sur Trendtrack cette semaine, puis génère-moi 5 vidéos UGC de 15 secondes en format 9:16 reprenant ce hook avec Higgsfield."
"Détecte les 3 hooks dominants dans [niche], puis crée 10 visuels statiques 1:1 pour chaque hook avec mon produit."
90 secondes par prompt en moyenne. Tu enchaînes 5 prompts, t'as fait en 8 minutes ce qui te prenait une demi-journée.
bien sur ya les filtres trendtrack que tu peux mettre dans ton prompt :
pays cible, langue ads, prix produit, marge estimée (calculateur intégré), revenue boutique, trafic mensuel, apps Shopify installées, durée d'ad, format créa, ad spend EU/UK, lifecycle (rising/peak/declining), date de création boutique.
donc en gros on résume:
Le marché te dit quoi tester
ton compte te dit ce qui marche
Higgsfield produit les variations.
Tu pilotes plus un outil.
Tu pilotes Claude qui est branché sur ton marché, ton compte, et ta production créa.
Le calcul rapide.
Tester un produit en 2026 c'est 600 à 1 500€ par produit avec 50€/jour × 3 jours × 4 créas.
Tu fais 5 testings, tu peux perdre : 3 000 à 7 500€ partis.
Avec l'info, avec les MCP que tu peux connecter à Claude, t'as l'info pour moins de rater, et pour scale comme un bourrin.
RT + like apprécié si tu as trouvé ça utile.
Commente "TT" si tu veux que je drop une vidéo Loom où je fais les prompts en live

Français

this Adaptive AI agent tells brands exactly what tiktok content is going viral in their niche before they brief a single creator
here's how brands are running campaigns that actually convert on Content Rewards:
-> drop your niche hashtag in and it scans TikTok for the highest performing content right now
-> filters by view velocity, engagement rate, and watch time
-> identifies the exact hooks, formats, and topics driving views in your market
-> maps out the patterns every viral video in your niche shares
-> generates a full content brief your creators can execute immediately
-> launch it as a clipping campaign on content rewards and scale with hundreds of creators
-> tracks what's working and updates the brief as trends shift
-> every step from trend research to live campaign is automated
what used to cost a full agency retainer now runs on autopilot.
reply "AGENT" + RT and i'll send you the full breakdown so you can launch your first data-driven creator campaign this week (must be following)
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What @covenant_ai built is real.
72B params. 70+ contributors. Commodity hardware.
You proved decentralized LLM training works.
@Conste11ation was designed so no single actor has what Const has. Metagraphs are sovereign by default no emissions to suspend, no moderation to revoke, no one who can deprecate your work because you became too independent to manage.
@CommonCrawl already validates LLM training data on Constellation. The infrastructure is real.
ring the work where it belongs. 🤝
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You can now design high-converting, on-brand, ready-to-send emails directly inside of Claude (‼️)
So many ecom brands have been telling me the same thing recently.
"We're using Claude for everything, and it knows everything about our brand, our products, our customers, our ad performance, etc."
They don't want to start teaching another platform about their brand all over again.
They want to use everything that Claude already knows as the foundation for strategizing and designing their emails.
So we built a connector that plugs directly into your Claude account.
Now inside your Claude account, you can:
→ Generate high-converting email campaign ideas and strategy
→ Generate on-brand copy
→ Design on-brand emails
→ Click one button and schedule the designed emails in Klaviyo
Zero manual work. Zero excuses to not be sending at least 2-3 email campaigns per week and generating easy revenue and a high ROI on your Klaviyo bill.
Comment "AUTOMATE" and I'll send over instructions on how to set up our connector in your Claude account to start automating your email marketing end-to-end.
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I just built a Claude skill that acts as a second brain for DTC brands 🤯
Drop your ad exports, customer reviews, competitor screenshots, and brand docs into a folder → Claude compiles it all into an organized wiki you can ask questions against.
All inside Claude Cowork.
Perfect for DTC brands and agencies whose knowledge is scattered across Google Drive, Notion, Meta Ads Manager, Figma, and 47 spreadsheets nobody has opened in 3 months.
If every strategic question takes 2 hours to answer because the data lives in 8 different places ...
This skill eliminates the entire loop:
→ Claude scaffolds a DTC folder structure: ads, customers, competitors, brand, performance, notes
→ You drop every file you have into those folders — messy, unorganized, exactly how you have them now
→ Claude reads everything and compiles a wiki: hooks-that-work, customer-pains, competitor-angles, brand-voice, performance-patterns, creative-brief-library
→ Every article is cross-linked and traceable back to the source file
→ You ask questions against the wiki — "what hooks are actually working?" "what objections come up most?" "where are my competitors weak?"
→ Claude answers, grounded entirely in your own data
→ Save the answers back in and the system gets smarter every time you use it
No more hunting through 12 tools.
No more "where did I save that brief?"
No more answering the same question twice.
What you get:
→ A complete DTC brand brain scaffold in 60 seconds
→ Six core wiki articles Claude populates automatically from your raw files
→ A schema file that tells Claude exactly how to maintain the wiki for DTC use cases
→ Monthly health checks that catch contradictions and flag gaps before errors compound
→ A knowledge base that compounds — every question you ask makes the next answer better
Built on a methodology @karpathy shared for personal knowledge bases, I rebuilt the entire thing for DTC operators: folder structure, schema rules, wiki articles, and question frameworks all tuned for brands and agencies.
I put together the full skill file plus a playbook walking through the exact setup and 5 real questions to ask your brand brain.
Want it for free?
> Like this post
> Comment "BRAIN"
And I'll send it over (must be following so I can DM)
English

Your media buyer does these manually every week.
Each one is now a free Claude Code skill 👇
that runs on a CSV export in under 2 minutes
1/ Creative fatigue scanner
Tags every ad healthy, warning, or critical based on CTR, frequency, CPC trends.
2/ Wasted spend finder
Zero-conversion ads grouped by theme with exact dollar amounts.
3/ CPA spike diagnosis
Isolates the cause. Ranks by dollar impact.
Fixes the biggest leak first.
4/ Audience overlap detector
Maps all ad sets against each other.
Flags self-competition.
5/ A/B test analyzer
Statistical significance + sample size.
Stops you calling winners too early.
6/ Budget reallocation modeler
Models CPA at different spend levels using your actual data.
7/ Weekly performance report
Exec summary, creative rankings, audience breakdown, action list.
Ready to send.
8/ Ad copy generator
Brief in, 20+ variations out.
Placement specs baked in.
9/ Competitor ad library analyzer
Their active ads → grouped by theme → top hooks identified.
10/ Lookalike audience refresher
Flags degraded lookalikes.
Recommends new seeds and what to retire.
All free. All open source:
→ irinabuht12-oss/marketing-skills
→ AgriciDaniel/claude-ads
→ coreyhaines31/marketingskills
→ mathiaschu/meta-ads-analyzer
No API keys.
No account access.
Just CSV + Claude Pro ($20/mo).
The analysis is automated.
Your media buyer just presses the buttons.
Comment "Skills" and I'll send you the full pack.
(must be connected)

English

AI Agents are the next big thing for ads
But most brands aren’t even planning for it.
I just broke down the ideal workflow we are creating in-house:
- Which type of agents we’re using right now
- Use cases that we’re testing & applying to our process
- The 4 materials we’ll use for our knowledge base moving forward
Want access to the breakdown?
Like + Comment “AGENT” and I’ll DM it
(Must be following).
GIF
English

Figma MCP + Claude Code
140 ads in 11 minutes. 👇
Same brand colors.
Same fonts.
Same layout rules.
Because the AI reads my actual Figma file
Here's the problem with AI-generated ads:
They look like AI-generated ads.
Generic colors.
Wrong fonts.
Off-brand everything.
You spend more time fixing them than you saved.
Figma's MCP server changes this.
It lets Claude Code read your real design system — your brand variables, typography styles, components, spacing tokens — and generate creatives that actually match your brand.
Not "close enough."
Exact match.
Here's the workflow:
1/ Set up your brand kit in Figma
Define your colors, fonts, and spacing as variables.
Name your layers clearly (not "Rectangle 47").
Build one master template per ad format.
2/ Connect Figma to Claude Code
One command in your terminal.
Claude reads your design system and learns your brand rules.
You do this once.
3/ Give it a brief
Product, audience, goal, key benefit, offer.
Ask for 10 variations with different hooks: → Problem-aware → Benefit-led → Social proof → Direct offer → Curiosity gap
4/ Scale across formats
Take your best variations and adapt: 1080x1080 for feed.
1080x1920 for Stories/Reels.
1200x628 for link ads.
10 creatives become 30 in minutes.
5/ Iterate on winners
When Meta tells you which ad is winning, feed that back in and generate 10 more riffs on the winner.
Different secondary text, color emphasis, CTA wording.
This is how you compound creative testing.
What this replaces:
→ Designer making variations manually in Figma — hours
→ Agency charging per revision — $$$
→ You resizing the same ad 4 times — soul-crushing
What it costs:
→ Claude Code: free to start
→ Figma paid seat: you probably already have one
→ Meta Marketing API: free
The brands winning on Meta right now aren't running 3-5 creatives.
They're running 30-50+, cycling weekly.
This is how you keep up without a full creative team.
Comment "Figma" and I'll send you the full setup guide + copy-paste prompt templates for every ad type.
(must be connected)

English

$TAO holders, how much did the TAO foundation pay for marketing - surely Raoul Pal, Virtual Bacon, etc. didn’t make content for free?
I haven’t found an answer - for a peer comp, Polkadot paid $37M a yr for it.
Better yet, what are the overall operating expenses for the TAO foundation? How much are they paying for their staff, management, travel & entertainment, etc. It’s all reasonable right? It’s not being plundered to enrich themselves or anything like that right?
English

I connected Claude directly to my Meta ad account.
Meta ads MCP full guide 👇
No CSV exports. No copy-pasting into ChatGPT. No pivot tables.
I just ask questions in plain English and get live answers from my actual data.
The technology is called MCP (Model Context Protocol).
It lets Claude read your live Meta ad data and take actions —
pause ads,
move budgets,
flag problems
— all from a single conversation.
Setup took 10 minutes. No coding.
Here's what I can do now:
1/ Morning performance check
"Show me yesterday's performance. Flag anything where CPA is 20% above my 7-day average."
Done in 30 seconds. Used to take 20 minutes in Ads Manager.
2/ Creative fatigue scan
"Which ads have frequency above 3 and CTR dropped 20% in the last 14 days?"
Claude pulls the data live. No export needed.
3/ Budget reallocation "Move $200/day from my worst ad sets to the top 3 by ROAS."
It makes the changes.
You confirm before anything goes live.
4/ Audience breakdown
"Break down my best campaigns by age, gender, and placement. Where am I leaving money on the table?"
Instant.
No custom reports.
No spreadsheets.
5/ Campaign creation
"Create a new campaign targeting women 25-44 in the US, interested in skincare, $50/day budget."
Launches in PAUSED status.
Nothing spends until you approve.
How to set it up (4 steps):
→ Get Claude Pro ($20/month)
→ Pick a managed connector (Pipeboard, Adzviser, or Madgicx)
→ Connect your Meta Business Manager through OAuth
→ Paste the connector URL in Claude's integration settings
That's it.
Test with: "List all my active Meta ad accounts."
If you see your accounts, you're live.
One critical warning:
Never use browser extensions or scrapers that simulate clicks in Ads Manager. Meta will flag and ban your account.
Only use connectors that go through Meta's official Marketing API.
Pipeboard, Adzviser, Madgicx — these are safe.
Total cost:
→ Claude Pro: $20/month
→ Connector: free tier available
→ Meta Marketing API: free
Under $20/month for most accounts.
I manage my entire Meta ads operation from a single chat window now.
Comment "MCP" and I'll send you the full step-by-step setup guide

English

I put my entire local Claude Code setup into ONE Notion doc
4 steps. No fluff.
- How to install Ollama and get it running in under 5 minutes
- Which model to pull based on your machine specs (30b, 7b, or 2b)
- How to redirect Claude Code away from Anthropic's servers to your local instance
- How to start Claude Code fully local with zero API costs and zero data sent externally
This is the setup I would have KILLED for before burning API budget on automations that never needed to leave my machine.
Like + comment "CODE" and I'll send it over
(must be connected for priority access)

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