La putisima cúspide de los tutoriales de shorts
No se cuantas veces habré visto este video, pero es que de funcionar, funciona.
Si alguno que me lea quiere empezar en shorts etc, papel y boli, literalmente
Tengo todo el video escrito en una libreta y de verdad que aplica a cualquier tipo de video/nicho
Resumidamente es lo que el post dice "como funciona la atencion humana"
Ya con eso puedes hacer lo que quieras
i built a Meta ads dashboard that showed a client where 2.2M clicks went
most brands never see that drop-off because their reporting can't show it
the funnel view changed how they buy media:
→ clicks to link clicks: 56% drop
→ link clicks to page views: 22% drop
→ page views to leads: 92% drop
each stage is a different problem with a different fix
creative problem, landing page problem, offer problem
one funnel view tells you which one is bleeding
the rest of the build:
→ CPM, CPC, CPL tracked live across every campaign
→ 117.5M impressions mapped by region
→ device split that revealed 96% of leads come from mobile
→ campaign table ranked by spend and CTR
$3M in spend, one screen, owned by the client forever
if you want the funnel view on your ad account
Comment “DASHBOARD” and I’ll dm you a guide on how to setup your Meta Ads Intelligence Dashboard
Carlos Alcaraz has Nike, Rolex and Louis Vuitton; 15-time pole vaulter world record holder Mondo Duplantis is sponsored by Puma and Omega Watches; Formula One driver Max Verstappen represents Heineken and EA Sports; and four-time Olympic swimming champion Léon Marchand is on Louis Vuitton and Nike billboards.
So why does Tadej Pogacar - with the exception of Richard Mille watches — not have many prestige sponsorship deals?
As the world champion attempts to win his fifth Tour de France, @cmbreports explores why cyclists struggle to land major partnerships, and why that might soon change.
🔗 https://t.co/7al4XKTSNa
Our Head of Growth runs $300K+/mo in paid ads without opening a single ad manager. Three platforms, one terminal, 12 custom Claude Code skills.
200+ hours of work off real client campaigns. Some clearing 4X ROAS on $1M+ spent. 40+ strategy files, 39 Python scripts hitting the platforms directly.
My bet: the agency that codes its ad-ops owns the margin everyone else burns in clicks.
The whole thing is 4 Claude Code skills:
> /linkedin-ads (15 strategy files, 14 scripts): full-funnel framework with audience-sizing rules, 6 campaign structure models, ABM 1:1/1:few/1:many playbook, 35-item audit checklist, creative by awareness stage. Scripts pull demographics across job function, seniority, company size, industry, country.
> /meta-ads (16 strategy files, 12 scripts): the Meta Ads Operating System, Creative Cadence OS, Pixel + CAPI setup, ABO to CBO to Advantage+ progression, creative fatigue detection. Scripts handle full creative-copy extraction across link, video, carousel, dynamic formats.
> /google-ads (9 strategy files, 13 scripts): the intent ladder, account structure split by intent, Phrase/Exact then Broad keyword progression, Performance Max guardrails, search-terms wasted-spend finder.
> /onboarding: 5-minute interactive setup. Walks credentials platform by platform, tests connections.
Underneath all three sits the foundations layer: the 5-Stage Demand Engine (replaces TOFU/MOFU/BOFU), budget allocation by stage and channel, voice-of-customer copy framework, scaling quadrant, optimization signals split between leading and lagging.
On each platform, one job at a time:
> Google: pulls 30-day search terms, queues every query that spent money with zero conversions as a negative once you approve, audits quality scores in the same loop.
> Meta: click-through fatigue watch across every live ad. Audience oversaturation flag.
> LinkedIn: 35-item account audit, then demographics on the top campaign. The job titles and company sizes that convert.
Read-only until the diff matches what Ivan would've done by hand. Then negatives, then fatigue, then bids.
Weekly pass: Ivan runs the zero-conversion sweep on Google, then the fatigue check on Meta, then pacing. Diff against last week's run.
Comment "ads" under the article and we'll send the repo. Must be following.
10 repositorios de GitHub para scrapear todo internet
Guárdalos todos. Cada uno extrae datos limpios de cualquier web. Ese nivel de acceso normalmente exige llamadas de ventas y contratos.
Una skill de Claude llegó a 58.000 estrellas en GitHub en una semana. 2,9k forks, gratis.
Hace que Claude programe como el senior más vago: 54% menos código, 20% más barato, 27% más rápido.
Añádela a Claude Code hoy.
@joantubau Inspeccions d'Hisenda, Inspeccions de treball, inspeccions de sanitat, IVA desenfrenat, milions d'impostos municipals, comarcals, locals, etc, restriccions i desincentivació de l'estalvi (en fons, PPs, el que sigui), criminalització de l'empresari des del prisma mediàtic, etc.
Some clowns charge money for this... sometimes even $29.
You can recreate any of your competitor's angles
Restyle any ad to any format
Heck, you literally can copy their ad and put you in it.
Sorry Paul don't sue me.
The sauce is real and free
👇
Ukraine launches TrophyLab: we are opening access to captured Russian weapon technologies for our global partners. Every missile, drone, and vehicle seized on the battlefield is now a source of knowledge for the free world.
Through this secure platform, allied governments, labs, and defense tech manufacturers gain access to deep technical data, reports, and vulnerabilities. Users can also request physical equipment for testing, significantly shortening the development cycle for countermeasures.
What was meant to be the enemy's secret advantage is being dismantled to defend democracy. Join the platform:
🔗 https://t.co/xoeCfXsIy3
Cualquier emprendedor que quiera tomarse en serio el posicionamiento de sus productos en Google (SEO) y en LLMs (GEO), les recomiendo MUCHO usar DataForSEO.
Tiene un MCP que accede a todas las apis disponibles y pueden trabajar codo-a-codo con el agente que quieran.
El consumo es muy bajo en relación a la cantidad de data que aporta a sus análisis.
Ahora mismo estoy trabajando en un keyword research completo y el consumo esta muy por abajo de cualquier otra plataforma de #SEO.
Además, a partir de este mes agregan a la misma bolsa de apis disponibles los productos de backlinks y LLMs que antes se cobraban como una suscripción diferencial.
Es el mejor momento para subirse al barco.
Acá un link para crear una cuenta y de paso DataForSEO me regala algunos créditos para seguir haciendo el BuilderSEO gratis: https://t.co/kpzqbspakj
Abrazo!
Our ad creative spends $3M/mo on Meta and Claude is behind some of our biggest creative decisions.
Just switched our entire research → angle → brief pipeline to Fable 5.
Here's how we use it (and what's different with the new model) 🧵
One person rebuilt an entire company’s brain in 7 days inside Claude Code.
Not a doc. Not Obsidian. A living galaxy of nodes.
Every employee. Every AI agent. Every SOP. Every tool. All wired together on one screen.
Click a department. The human agent team opens up. The SOPs attached to it open up. What each person is allowed to touch opens up.
That last part is the whole game.
Permissions baked into the brain. An employee opens the chat, the AI already knows what they can access. Agents, data, SOPs surface inside the conversation like you tagged them by hand.
Obsidian can’t do this. Notion can’t do this.
No dev team. No funding round. No 6-month roadmap. 7 days, 1 person, 1 terminal.
This is the part nobody has priced in.
The tools to build $200K enterprise software now sit on your laptop for free.
The only thing missing is the guy who opens the terminal.
supervision just hit 40,000 GitHub stars!
it now powers over 6.5k open-source computer vision projects, including all my demos like basketball AI
link: https://t.co/xXMRaS4ejS