Jorge A. Cortés

@lukepierceops NICHE

I mapped every AI automation opportunity across 25 industries. 10-15 pain points each. With the exact positioning, pricing range, and who to sell to. This took me 4 years and 80+ client engagements to figure out. A lot of AI agencies pick a niche and pray. They don't know the actual pain points. They don't know who the buyer is. They don't know what these companies are already paying for broken solutions. They don't know what the realistic project size is. So they end up competing on price for generic "AI automation" gigs. I've worked with marketing agencies, recruiting firms, e-commerce brands, law firms, real estate companies, healthcare practices, financial services, SaaS companies, manufacturing, construction, logistics, and more. Every single one has 10-15 processes that are bleeding money because they're still done manually. Here's what the guide covers for each industry: → The top 10-15 automation pain points (ranked by ROI) → Who the actual buyer is (CEO, COO, ops manager, etc.) → What they're currently paying for manual labor or broken SaaS → Realistic project pricing ($5K-$60K+ depending on scope) → The discovery questions that unlock the deal → How to position yourself as the expert even if you've never worked in that industry → Red flags to avoid (industries and company sizes that aren't worth it) 25 industries and 300+ specific automation opportunities. This is the cheat code for picking your niche and knowing exactly what to sell before you ever get on a call. Like + RT + reply "NICHE" and I'll send you the full guide (Must be following so I can DM)

ahrefs now alerting on high AI content pages, interesting!

@davidalvarezdlt Cuando decides cambiar tanto la home, te puede impactar mucho en el SEO, no? no te importa?

Reposicionamiento de Banktrack hecho a la IA. Lógica detrás: nadie compra un software de gestión de manera impulsiva. La gente que lo compra lleva tiempo ya planteándoselo y una de las preguntas más comunes es “qué os diferencia de X”. Ahora tenemos una respuesta para ello.

should i go back and write in Spanish? 😂

@davidalvarezdlt Yo pinché a los 4 años también y me fui al asalariado 😂

@davidalvarezdlt Yo creo que te hace falta un tiempo de desconexión a medio gas o si eres más drástico a otra cosa mariposa. Pero lo más probable es que vuelvas al ruedo (de una forma u otra)

Llevo una semanas de debate filosófico interno sobre el propósito de la vida, los que asociamos nuestro propósito al trabajo y cuándo es suficiente. Es suficiente un trabajo donde vivas bien y te lleves 4000€ a casa mientras buscas el propósito en otro lado? O mejor dedicarte al 100% y buscar el gran exit? Llevo 4 años buscando lo segundo y, por quemada absoluta, mi cuerpo ahora me pide lo primero.

it's wild how people buy traffic to landing pages that are so bad

@gfodor with the current state of AI unless there are multiple people from different places confirming no one would believe it and still it would be hard

if the US dropped a real alien video people will point out compression artifacts to claim it's AI and smugly call it a "distraction"

a month ago i wrote about trust is gone and we now have the first global case with Netanyahu no one believes anything now

@toni_pn @davidalvarezdlt hormozi lo cuenta muy bien con la gráfica de las stages of entrepreneurship

@davidalvarezdlt Una cosa que me flipa es lo profundo que es todo una vez uno quiere dominarlo. És la capacidad de entender profundamente problemas y la creatividad lo que lleva a soluciones. No hay 'fórmula'. Inteligencia 'formal' + arte/creatividad = problem solver.

Desde que empezamos Banktrack mucha gente nos repitió el mantra de "no entréis en contabilidad, es un cristo". No hemos entrado en contabilidad, pero me da que el cristo era facturación, no contabilidad. La cantidad de casuísticas es terrible para la UX.

😂😂😂

@nicbstme I think it will be similar to today's webpages business easy and cheap to buy a customised one

What the apostles of the SaaS Apocalypse get wrong is that they expect every company to vibe code their software like CRM, project management, etc. The most likely scenario is that software, being a commodity, will lead to an explosion of SaaS and so a reduction in price, which will lead companies to buy more than they build. TL;DR: Some software vendors will die, and the most will have thinner margins but overall there will be more software not less.

if the cost of building software gets so low, I would expect as many custom saas as custom websites we see

@davidalvarezdlt Y lo que valen las cosas, especialmente los impuestos, que seguro que no los tuviste en cuenta 😂

Las 3 cosas más valiosas que sacas después de emprender por primera vez: - Quitarte el miedo a facturar. Ver que la gente te da dinero si le resuelves un problema que tiene. - Profundizar el concepto de "pain". No más redes sociales para perros. - Los procesos generales de una empresa: cómo hacer una factura, cómo se hacen los impuestos, como trabajar con gestorías, cómo despedir a alguien...

@i2cjak I've always wondered... since PCB manufacturing is basically automated how is THAT different the pricing in China vs Outside it

Elon Musk, if you can hear us, please save us I know you've got that gigantic domestic PCB fab. I know you have software engineers. Create the American JLCPCB. Fuck the CHIPS act we need the BOARDS act Please get these Chinese PCBs away from me

@Lani4x @yacineMTB unless the value of your business is related to the hardware itself usually it's not worth it

@cortesja @yacineMTB Are there any major advantages building custom hardware?

I used to wonder why electrical engineers made such little money comparatively to software engineers, but now that I am learning how to be an EE it makes more sense

@weswinder @levelsio good analogy but software can produce value for business by adding music to a business generally it doesn't add value

this is exactly what happened to music > barrier to record an album in 2000: a studio, a label, $500k > barrier to record an album in 2015: a laptop and garageband > result: more music than ever. most of it niche. some of it massive software is about 5 years behind that curve vibe coders with claude code are the new bedroom producers and the bedroom producers won do with that what you will

performance scenarios can be guessed directly by the llm with proper context such as concurrent users, etc

people talking about you need to know how to code because if not you will produce bad performant code don't understand that you can just do performance testing and refactor