Uploaded August 2026 | Updated September 2026, 3 weeks ago
Download ChatGPT: chatgpt.com/download
I used GPT-5.6 Luna, Codex, and 10,000 real app reviews to uncover product opportunities and turn messy feedback into a searchable dashboard for just a few dollars.
Resources mentioned
- Prompts and dashboard guide: docs.google.com/document/d/1ccgZyWkKIhskKAPi3uTElf8q67PJxGoJEzrmhad26bs/edit?usp=sharing
- GPT-5.6 Luna: developers.openai.com/api/docs/models/gpt-5.6-luna
youtu.be/Ji2Lmh1kolA
My Products
• Pro Access — get access to everything: https://cwb.sh/pro?r=yt
• React Native Course: https://cwb.sh/rn?r=yt
• Platano — AI app template: https://cwb.sh/platano?r=yt
• Book — From Idea to App Store with Claude Code: https://cwb.sh/book?r=yt
• Inkigo — AI Tattoo (iOS): https://cwb.sh/inkigo?r=yt
• Quick Push — test push notifications (macOS, $4.99): apple.co/4tvT4wF
Free Resources
• Newsletter: https://cwb.sh/newsletter?r=yt
• Discord: https://cwb.sh/discord?r=yt
Support My Work
• Channel Membership: https://cwb.sh/join
• GitHub Sponsors: github.com/sponsors/betomoedano
Socials
Follow Beto on X: https://cwb.sh/x?r=yt
LinkedIn: https://cwb.sh/in?r=yt
GitHub: https://cwb.sh/gh?r=yt
Instagram: https://cwb.sh/insta?r=yt
TikTok: https://cwb.sh/tiktok?r=yt
Threads: https://cwb.sh/threads?r=yt
Bluesky: https://cwb.sh/bsky?r=yt
Facebook: https://cwb.sh/fb?r=yt
Timestamps
00:00 Intro
01:01 Finding the data on Kaggle
01:58 Setting up the Codex project
03:39 Cleaning 180,000 reviews down to 10,000
05:16 Why GPT-5.6 Luna (pricing and the Batch API)
06:23 OpenAI Developers plugin and API key setup
07:06 Structured outputs with a strict JSON schema
09:11 Testing on 30 reviews first
09:51 Batching all 10,000 reviews
11:08 SQLite database and the dashboard
12:37 What 10,000 reviews actually cost
12:53 The opportunity hiding in the data
13:23 Recap
@OpenAI
#codex #ai #ChatGPT_Partner
Download ChatGPT: chatgpt.com/download
I used GPT-5.6 Luna, Codex, and 10,000 real app reviews to uncover product opportunities and turn messy feedback into a searchable dashboard for just a few dollars.
Resources mentioned
- Prompts and dashboard guide: docs.google.com/document/d/1ccgZyWkKIhskKAPi3uTElf8q67PJxGoJEzrmhad26bs/edit?usp=sharing
- GPT-5.6 Luna: developers.openai.com/api/docs/models/gpt-5.6-luna
youtu.be/Ji2Lmh1kolA
My Products
• Pro Access — get access to everything: https://cwb.sh/pro?r=yt
• React Native Course: https://cwb.sh/rn?r=yt
• Platano — AI app template: https://cwb.sh/platano?r=yt
• Book — From Idea to App Store with Claude Code: https://cwb.sh/book?r=yt
• Inkigo — AI Tattoo (iOS): https://cwb.sh/inkigo?r=yt
• Quick Push — test push notifications (macOS, $4.99): apple.co/4tvT4wF
Free Resources
• Newsletter: https://cwb.sh/newsletter?r=yt
• Discord: https://cwb.sh/discord?r=yt
Support My Work
• Channel Membership: https://cwb.sh/join
• GitHub Sponsors: github.com/sponsors/betomoedano
Socials
Follow Beto on X: https://cwb.sh/x?r=yt
LinkedIn: https://cwb.sh/in?r=yt
GitHub: https://cwb.sh/gh?r=yt
Instagram: https://cwb.sh/insta?r=yt
TikTok: https://cwb.sh/tiktok?r=yt
Threads: https://cwb.sh/threads?r=yt
Bluesky: https://cwb.sh/bsky?r=yt
Facebook: https://cwb.sh/fb?r=yt
Timestamps
00:00 Intro
01:01 Finding the data on Kaggle
01:58 Setting up the Codex project
03:39 Cleaning 180,000 reviews down to 10,000
05:16 Why GPT-5.6 Luna (pricing and the Batch API)
06:23 OpenAI Developers plugin and API key setup
07:06 Structured outputs with a strict JSON schema
09:11 Testing on 30 reviews first
09:51 Batching all 10,000 reviews
11:08 SQLite database and the dashboard
12:37 What 10,000 reviews actually cost
12:53 The opportunity hiding in the data
13:23 Recap
@OpenAI
#codex #ai #ChatGPT_Partner
