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Javi Lopez ⛩️

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@javilopen

Founder at @Magnific_AI (acq. by @Magnific formerly @freepik)

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Ok, getting better. the problem with going on a cruise is that there are a lot of people on it (yeah, I’m people too, but heh), so getting on and off the cruise is always a pain, and you don’t really have much time to see the places I’m not used to this way of traveling because I’m more of a backpacker, doing absolutely everything at my own pace, but well, when in Rome, do as the Romans do... you can always get something positive out of travelling Today, Santorini 🏝️

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@javilopen
J
Javi Lopez ⛩️@javilopen

Please, k*ll me 😂

What are the 3 most important pieces of advice you would give your child? If I could only give 3, I think they would be: 1. Health comes first: take care of yourself 2. Nurture your curiosity and expose yourself to as many situations, places, ideas, and people as you can. You can't compete with passion 3. Your best friends aren't the ones you have the most fun with or enjoy being around the most, but the ones who treat you best

So, this happened: I’m going on a 7 day cruise by myself in the Greek islands 🏝️ Sounds great, but I’m actually a bit gutted because the plan was to do it with my wife… But because of some family health issues, she decided to go back to her country to be with her mother, and I wasn’t able to get a visa quickly enough to go with her. And the cruise was non refundable, so… f*ck it. Leisure Suit Larry Lopez Edition. And since I’m going to have more free time than I know what to do with, I’ll be posting a little travel diary here. For now, I arrived in Venice a few hours ago and did something I absolutely love: "serendipitous wandering", which basically means walking around completely at random and seeing where I end up. I don’t care about "seeing everything", because I’ll never be able to see everything anyway. And this way, I end up discovering completely unexpected things. I remembered Venice being beautiful… but not this beautiful. I’m genuinely pleasantly surprised. The American Mind can't comprehend this!

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@javilopen
J
Javi Lopez ⛩️@javilopen

Literally 5 min after I arrived in Venice:

Literally 5 min after I arrived in Venice:

Donnie Darko is one of the few movies whose Director's Cut I think is worse than the original theatrical version. The problem with the Director's Cut is that it adds a ton of infodump: the pages from the fictional book "The Philosophy of Time Travel". This overexplains the rules of time travel and ruins the story’s ambiguous magic! They also replaced the opening song, Echo & the Bunnymen's "The Killing Moon", with INXS's "Never Tear Us Apart". Meh.

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PROFITABLE SELF CANNIBALIZATION Stackoverflow chart = DEAD💀 (in questions over time) BUT Stack Overflow has been making MILLIONS in the last few months just by selling its database to AI companies (Google/OpenAI) so they can train their models. So this is a case of HARAKIRI for money that actually works until they are consumed.

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@javilopen
J
Javi Lopez ⛩️@javilopen

Software is collapsing. SaaS multiples went from 18x revenue in 2021 to 3.4x today. HOLY HELL. The thing is, before AI, the mere fact that you could build the product was a spectacular moat. You needed engineers, months, funding rounds, a CTO who knew Kubernetes (god, just hearing that word pisses me the f*ck off)... or at the very least you needed to know what the hell you were doing, even if there were only two of you, like Emilio and me. But now even your grandma can ship a working product in a weekend with AI, and so can a 19 year old in Manila with no CS degree. The difficulty of building software is TRENDING TO ZERO. And what's worse for some people... is that no user cares. Users don't ask what stack you're on. One single PHP file? React? Rails? Firebase? Doesn't matter. If the product is good, they open the thing, it works, and boom, done, popsicle time. I can't remember a single instance of a user asking how Erasmusu or Magnific were built under the hood... not one damn. So if building trends toward free, where did the value go? DISTRIBUTION. Not the first time I've said it. And distribution has never been harder than right now, but it'll be worse a year from now. Every feed is saturated. SEO is being eaten by AI. Ads cost more every quarter. Everyone is shipping the same 5 ideas the same week because we're all using the same models, which is why anything you sit down to read smells like AI... including this one if you're not careful ;) The bottleneck went from "can you build it?" to "can anyone hear you?" And people are hard of hearing, because the amount of noise being drilled into their skulls from every direction, nonstop, is insane. Which is terrible news for SaaS companies whose entire valuation was based on how hard their product was to copy. Turns out it WAS hard. But not anymore. Now it turns out an AI can rebuild your $40/mo tool in an afternoon. BUT, this is great news for anyone who spent years building an audience, a brand, a newsletter, a weird personal following on the internet. That's the f*cking asset now. It's the only thing AI can't clone. God Save the Queen!

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Software is collapsing. SaaS multiples went from 18x revenue in 2021 to 3.4x today. HOLY HELL. The thing is, before AI, the mere fact that you could build the product was a spectacular moat. You needed engineers, months, funding rounds, a CTO who knew Kubernetes (god, just hearing that word pisses me the f*ck off)... or at the very least you needed to know what the hell you were doing, even if there were only two of you, like Emilio and me. But now even your grandma can ship a working product in a weekend with AI, and so can a 19 year old in Manila with no CS degree. The difficulty of building software is TRENDING TO ZERO. And what's worse for some people... is that no user cares. Users don't ask what stack you're on. One single PHP file? React? Rails? Firebase? Doesn't matter. If the product is good, they open the thing, it works, and boom, done, popsicle time. I can't remember a single instance of a user asking how Erasmusu or Magnific were built under the hood... not one damn. So if building trends toward free, where did the value go? DISTRIBUTION. Not the first time I've said it. And distribution has never been harder than right now, but it'll be worse a year from now. Every feed is saturated. SEO is being eaten by AI. Ads cost more every quarter. Everyone is shipping the same 5 ideas the same week because we're all using the same models, which is why anything you sit down to read smells like AI... including this one if you're not careful ;) The bottleneck went from "can you build it?" to "can anyone hear you?" And people are hard of hearing, because the amount of noise being drilled into their skulls from every direction, nonstop, is insane. Which is terrible news for SaaS companies whose entire valuation was based on how hard their product was to copy. Turns out it WAS hard. But not anymore. Now it turns out an AI can rebuild your $40/mo tool in an afternoon. BUT, this is great news for anyone who spent years building an audience, a brand, a newsletter, a weird personal following on the internet. That's the f*cking asset now. It's the only thing AI can't clone. God Save the Queen!

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Someone has seen too many The Walking Dead episodes.

@ItsDaManAce
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Ace ♠️@ItsDaManAce

How rich I wanna be

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Most missed thing for a Spanish Erasmus student abroad:

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Ok, bye bye to my US audience 😂

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THIS IS CRAZY 🤯Bifrost just shipped a proper real2sim pipeline that actually works at production speed! You send a single video of a real industrial site or lab. Their system reconstructs a fully navigable, photorealistic 3D environment in ~30 minutes instead of the usual 12+ hours of manual modeling. Technical stack under the hood: - 3D Gaussian Splatting (and derivatives like World Labs Marble) turns the video frames into a dense, view-dependent radiance field. This gives real-time rendering of the exact geometry, materials, and lighting of the captured space without traditional mesh reconstruction bottlenecks. - Articulated asset generation (building on models like TRELLIS for static objects and Articraft-style systems for movable parts) automatically extracts and converts objects into simulation-ready rigid-body or articulated assets with correct collision geometry, joints, and physical properties. - GPU orchestration + domain randomization layers on top so the environment can be relit (GaRe-style), cluttered, and sensor-simulated across RGB, depth, segmentation, and 6-DoF poses. The result is a high-fidelity digital twin that robots can interact with immediately. You drop your policy into the reconstructed scene, run thousands of parallel rollouts on Manifold, and surface failure modes at compute speed rather than waiting for real-world iterations. This closes a big part of the classic sim-to-real gap: visual fidelity no longer looks like a 2001 PS1 game, and the physics/assets are grounded in the actual site instead of generic asset libraries. The DeLorean garage demo is just the public teaser: the same pipeline is already being used for factory cells, warehouses, and manipulation benchmarks.

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The answer is still 42.

@MrAurelian
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Aurelian Spodarec@MrAurelian

@javilop @levelsio What do you mean 42? 42 of what? I said 1.7 out of 5.