@davidalvarezdlt Si han hecho signup/descargado es que hay una intencionalidad/motivación que ya existe. El problema es que muchas veces la activación es incorrecta porque es importante para la empresa pero irrelevante para el usuario
@LinoLeighton Be careful with that affirmation because it could be a vanity metric. Maybe you can have better LTV with higher traffic but lower CR. You need to keep testing
@davidalvarezdlt Yo creo que se te valoraría en empresas que busquen perfiles más generalistas, pero menos aquellas que busquen un perfil más especializado o ejecutor. A estas ultimas les puede dar mas igual que sepas de fiscalidad, reclutamiento u otras cosas que ahora para ti son importantes.
The idea of "one shotting" an app using AI is a fugazi.
If you had to describe my app and all the edge cases I have solved over the years, it would be a prompt the size of a small book, and my app isn't even that complicated.
The people promoting creating a business overnight with AI are just selling a get rich quick pipedream. Those grifters are present in every cycle.
AI has completely transformed how I work, but you can't push a button and make money. Doesn't work like that.
While you were sleeping, Apple pulled off a quiet revolution. They silently rolled out automated app review, their answer to the surge of apps driven by the vibe coding trend.
Auto-review is the first stage of the review process. Right now it’s rough. The system flags any SDK that collects attribution data as a signal that your app contains ads. Developers are getting hit with auto-rejections left and right.
It also automatically detects Firebase anonymous auth as a sign that your app has a login flow and asks you to provide a demo video.
The fix is simple though. Just add a note in App Review Information clarifying that your app has no ads and no login feature.
Hopefully Apple ships a fix soon and we end up with fast automated reviews for trusted accounts, similar to how Google Play already handles it.
@Y0shiU3da@RevenueCat@Y0shiU3da@RevenueCat for a small studio where flights + hotel make it a real investment, what would you say is the one thing that could make the trip worth it? I would love to attend to many of these events but generally feel the need to economically justify it
@celsmanz Esa alta densidad de emprendedores que comentas, es de Barcelona? O es gente de otros lugares?
Desconozco si tendrá alguna relación o no, pero viviendo fuera me parece una locura que el 80% de españoles que conozco son de Barcelona. ¿Podría estar relacionado con la mentalidad?
500 million people installed Pokémon Go in 60 days. Every one of them became an unpaid 3D mapping contractor.
Niantic introduced “AR Mapping” in 2020, framed as “Field Research.” Complete the scan, unlock a reward. Players walked circles around buildings, streetlights, and storefronts while their phone cameras captured geometry from every angle. The game awarded them a handful of Poké Balls. Niantic got geotagged photogrammetry data tagged with precise position, orientation, movement speed, and direction.
30 billion images. A million locations worldwide. Thousands of photos per location across different angles, weather conditions, lighting, and times of day. Building that dataset with paid contractors would cost tens of billions of dollars. Niantic built it for the cost of digital Pikachu rewards.
Google figured this out a decade earlier with reCAPTCHA. “Click all the traffic lights” was never about proving you’re human. It was labeling training data for Street View, Maps, and autonomous vehicles. By 2011, reCAPTCHA users had digitized the entire Google Books archive and 13 million New York Times articles back to 1851. Google took a security product and turned billions of free human classifications into computer vision infrastructure.
Niantic ran that same playbook at physical-world scale. The game was the CAPTCHA. Every AR scan was an unpaid mapping task dressed up as gameplay.
Now the spin-out, Niantic Spatial, licenses centimeter-accurate visual positioning to Coco Robotics for delivery bots navigating city streets where GPS drifts 50+ meters. The system works because when a robot’s cameras see a building, Niantic already has thousands of photos of that exact building from every possible angle, tagged with sub-centimeter coordinates. No satellite required.
Niantic raised $773 million and peaked at a $9 billion valuation. Last year they sold Pokémon Go to Scopely and kept the spatial data. The game generated revenue. The 30-billion-image 3D map of the physical world generated the company.
Starting to hear the same story everywhere:
- Company: We have to use AI more, not just chatting with it.
+ Employees: Can we connect it to Google Drive, Notion, RevenueCat, user feedback, and Amplitude?
- Companies: No.
Employees: