I used to spend 8-12 hours a week researching faceless YouTube niches manually.
Scrolling incognito, pulling view counts by hand, cross-referencing SocialBlade, checking 48-hour data.
Then I connected NexLev MCP to Claude Fable 5 and the whole process collapsed to 15 minutes…
Here's the exact 4-prompt sequence I run now for every new channel launch:
Prompt 1: "Find AI story channels in [niche] where new channels under 6 months old are hitting 100k+ views within 90 days. English only. Return channel names, views per video, estimated RPM, upload frequency."
This tells me if the algorithm is still rewarding new entrants. If no new channels are breaking 100k in 90 days, the niche is either too mature or too dead.
Prompt 2: "Pull view counts on their 5 most recent and 5 highest-performing uploads. Flag any channel where the top 5 have 10x+ more views than the recent 5."
This separates stable revenue niches from viral-spike traps. I chased outlier niches for 6 months. One video would hit $8k and the next 15 would pull $40-100 each. The monthly total was a coin flip.
You want the gap between best and recent under 5x. Those niches produce predictable income.
Prompt 3: "Estimate RPM for the sub-niches passing both filters. Flag anything below $12."
At $12 RPM you need 833k views/mo to hit $10k. At $25 RPM you need 400k. The production cost is identical either way. RPM is the revenue multiplier nobody pays enough attention to.
Prompt 4: "Pull 48-hour view data on the 3 most recent uploads from the top channels in the remaining sub-niches."
This confirms the algorithm is pushing the niche right now. Not 3 months ago. YouTube's content prioritization shifts seasonally and a niche performing well in Q1 might be cooling by Q3.
Fable 5 holds the entire research context and scripts against the validated data without losing its “AI thought process”. Research to publish-ready script in one conversation. 15 minutes total.
It has genuinely never been THIS easy.
Lock in for 90 days with Cybersecurity: https://t.co/hyt0OE3rEh
Junior Cybersecurity from Cisco Networking Academy: https://t.co/6cvQLvNkGJ
Cybersecurity education resources from CISA: https://t.co/iBYQkLJIdm
Cybersecurity College: https://t.co/i0g6riif0L
To God be the glory.
I’m grateful to have completed my MSc in Data Science.
Now it’s time to use what I’ve learned to solve blockchain problems through data.
Been running windows as a sandbox on my mac for tasking
Just got a Microsoft Surface PC.
More tools for TestIO
Thanks to TestIO and HandshakeAI cashout 🤲
Copped 3 New Houses in one week. 2 Duplex's , 1 Penthouse.
Thank you God for keeping things running smoothly.
If you need evidence that Web3 is an industry that changes lives, look at mine.
Anyone in Turkey 🇹🇷 Or You Knkw Someone There?
Oneforma is looking for Turkish speakers for a brand new AI project Project Lighthouse 3.
I got the invite.
You bring the location.
Let's get this bag together 💰
DM me "LIGHTHOUSE" 📩
There Is $35M Stuck on Solana And Here Is How Some Of It Can Come To You
Imagine sending money to the wrong address and finding out it can never come back. This is not because someone stole it, not because it was burned but just because the system had no way to return it.
That has been happening on Solana since 2020.
176,961 SOL, worth about $35 million today, is sitting frozen inside Solana token addresses that nobody can spend from. These are called mint accounts, and they are the addresses that hold the rules for every token on Solana.
The problem is that a mint account address looks exactly like a regular wallet address. So people send SOL there by mistake, and it gets stuck. Permanently. The data is public and verifiable on Dune Analytics across 869,204 mint accounts.
The largest known amounts bricked right now:
• BOME: 6,328 SOL
• LUCE: 3,976 SOL
• Old Slerf: 3,514 SOL
• $WATER: 2,518 SOL
• MELANIA: 1,887 SOL
• DJT: 1,674 SOL
• WSOL: 1,515 SOL
• TRUMP: 1,349 SOL
• $NAP: 1,290 SOL
• MAPS: 1,165 SOL
For years, nobody could fix this. The Solana token program simply had no tool for getting that money out.
Then in May 2026, a team called Anza shipped an upgrade called p-token. It made Solana tokens 95% cheaper to use and quietly added one new feature: the ability to pull stuck SOL out of these frozen accounts for the first time ever.
But here is the catch. Not everyone can get their money back.
It depends on whether your token still has an active controller wallet, called a mint authority. If yes, you can withdraw right now. If you gave up that control as a trust signal to your community, which most projects do, then the only way to recover is if you kept a very specific key from the day you launched your token. Most people threw that key away without knowing it mattered.
Now, how exactly do you make money from this?
• Step 1: Check any token's mint on https://t.co/6MPWLIJFp5
• Step 2: If SOL is there, trace who sent it on Solscan
Contact the dev team. Most have no idea this money exists
• Step 3: Reach out to the original sender on-chain. They may not know they can claim it back
• Step 4: Negotiate a finder's fee for surfacing the opportunity
One of my students @NoahBiliamin built a tool for exactly this. Sol Recovery (https://t.co/g0eMtqvOGJ, @solrecovery1) shows you whether your token has stuck SOL, whether recovery is possible, and walks you through claiming it without ever giving up your private keys. 10% fee only if you successfully recover.
If the money is still recoverable, it is yours. You just need to know where to look.
For more info visit: https://t.co/DEhDHm2B6P
Help Yourself. As You Were❤️🦅
You can either be valuable, or spend the rest of your life talking about those that are. The choice is yours.
I will always share opportunities and will keep changing lives. The choice is yours to take action.
As I change my life, permit me to change yours❤️🦅
My first project from the AnalystLab Africa Internship 🚀
Still a work in progress, so feedback and corrections are welcome. I'll share my cleaning and visualization process soon! 📊
#DataAnalytics#LearningInPublic#AnalystLabAfrica
Still building. Not done yet.
But the charts are already telling a story 👀
South is leading with $332K in sales.
Laptops are dominating every region.
And this is just the beginning.
Next step: locking it down with Row-Level Security so each manager only sees their own region.