Hey Corbin I just wanted to know how you've create Refferal system inside thumio.com

Hey Corbin,I was going through Google’s official pricing for Gemini 3 Pro / Nano Banana Pro and wanted to understand your pricing model better. From Google’s docs (I’ll attach the screenshots), the standard image output cost for 1K / 2K images comes out to roughly $0.134 per image.On Thumio, your Creator plan is $12/month → 1000 credits, and since 1 thumbnail = 10 credits, that works out to $0.12 per thumbnail for the end user. So from the outside, it looks like: - Google’s raw image cost ≈ $0.134 - Thumio’s user-facing cost ≈ $0.12 I’m guessing there’s some smart optimization happening here (batching, mixed resolutions, internal credit modeling, averaging across users, etc.), and I’m sure I’m missing context. I’m not questioning the pricing at all — just genuinely curious how you’ve structured it so it stays profitable while still being cheaper than the apparent per-image API rate. Would love to understand: - Are you using batch vs standard differently? - Is the credit system designed around averages rather than per-image cost? - Or is there another optimization at play? Really appreciate the transparency you usually bring — would be awesome to learn how you’re thinking about this 🙌

I vibe coded for 14 hours straight yesterday before hitting the quota limit. It's pretty incredible how much free quota Google gave me as a new user. I got all the way to almost the very end of How To Build Your First App with AI - Lesson 2. So I hauled out my credit card and upgraded my subscription from "Free" to "Tier 1". Imagine my delight when I found Google added a $300 usage credit to my account and did not actually withdraw any funds from the credit card I provided. One thing I did learn is that my $40 a month Gemini 3 subscription does not apply here. Google AI Studio is part of the Google Cloud infrastructure which is billed separately based on usage. I'll monitor the consumption of my $300 credit and report back here...

Hey Corbin,I was going through Google’s official pricing for Gemini 3 Pro / Nano Banana Pro and wanted to understand your pricing model better. From Google’s docs (I’ll attach the screenshots), the standard image output cost for 1K / 2K images comes out to roughly $0.134 per image.On Thumio, your Creator plan is $12/month → 1000 credits, and since 1 thumbnail = 10 credits, that works out to $0.12 per thumbnail for the end user. So from the outside, it looks like: - Google’s raw image cost ≈ $0.134 - Thumio’s user-facing cost ≈ $0.12 I’m guessing there’s some smart optimization happening here (batching, mixed resolutions, internal credit modeling, averaging across users, etc.), and I’m sure I’m missing context. I’m not questioning the pricing at all — just genuinely curious how you’ve structured it so it stays profitable while still being cheaper than the apparent per-image API rate. Would love to understand: - Are you using batch vs standard differently? - Is the credit system designed around averages rather than per-image cost? - Or is there another optimization at play? Really appreciate the transparency you usually bring — would be awesome to learn how you’re thinking about this 🙌