José Reis

You opened Lightroom. Tried the free version. Hit a wall after 30 minutes. Then you downloaded Picsart. Same story—basic tools work fine, but the moment you need selective editing or RAW support, you’re staring at a subscription dialog. What you’re experiencing isn’t a bug. It’s the pricing architecture of modern photo editing: freemium apps designed to […]

You edit at least 3 photos daily. You don’t have 1 hour to master a new app’s learning curve. You need results that look professional, but you can’t spend hours adjusting sliders. Which app should you pick? Google Photos (fast but limited), Snapseed (powerful but steep learning curve), Canva (easy but design-focused), or Adobe Lightroom […]

This analysis consolidates data from three sources over 6 months (Sept 2025 – Feb 2026): Source 1: Public research datasets (30% of findings) Source 2: Third-party creator analytics tools (40% of findings) Source 3: Case Study Tracking (30% of findings – detailed below) Limitations & Caveats Section 1: How Instagram’s Algorithm actually works (Sept 2025 […]

Real earnings data from creators using sponsored posts, affiliate marketing, and Instagram Shops. What actually pays vs. what influencer guides promise. Every guide says: “Making money on Instagram is easy. Use sponsored posts, affiliate links, and shops.” What I actually found: It’s not easy. It’s not even close. I tracked 20 Instagram creators for 6 months and […]

A comprehensive investigation revealing the real verification criteria through documented test applications, rejections, and the one strategy that works 3x better than others. The experiment: why i tested his? I became obsessed with this question after my own verification request was rejected with zero explanation. I had 15k followers, media coverage, a complete profile and […]

The conventional wisdom: Use Instagram’s native “Share to Your Story” feature—it’s safer, credits the creator, and Instagram probably pushes it more. What I actually found: The repost method barely matters. Timing matters 8x more. And there’s a startling difference in reach depending on whether the creator gets notified or not. Here’s the full experiment. The experiment setup: why […]

You weren’t notified. The person disappeared from your follower list. The message you sent weeks ago was never delivered. Your brain makes the obvious connection: “I was blocked”. But wait. Instagram has 5 different scenarios that look identical on the surface, and each one requires a completely different response. This guide decodes each of them based […]

If you’ve read 10 guides about Eevee, you’ve read 10 versions of the same generic information. This guide is different because it combines: Research Methodology Between January-March 2026, I conducted a field study with 847 Pokémon GO players through community surveys, analysis of public raid group data, and controlled personal tests. Community data: 847 Players, 3,200+ Evolutions […]

If you’ve been grinding Pokémon GO for Sinnoh Stones and feel like your drop rates don’t match what guides promise, you’re not paranoid—the community data itself is inconsistent. Niantic has never published official drop rate percentages, and what separates efficient farmers from frustrated casuals isn’t luck: it’s understanding the behavioral economics of reward distribution and how Pokémon […]

I conducted 8 months of systematic testing against Giovanni using verified data collection methods. Counter recommendation articles have a 73% failure rate because they optimize for clicks, not accuracy. This article includes full methodology (IVs, movesets, DPS calculations), analysis of why major guide sites have systematic bias, and a replication framework so you can verify my claims […]