Token Tsunami: 1,992 Videos, 2.5M Tokens, and a Race to the Top with Taskmaster

I’ve been heavily relying on the @ai-summaries #bot lately, and honestly, it’s been a game-changer—especially since it’s free to use and #leoai is always hungry for #tokens. The bot handles the bulk of the heavy lifting. It’s also a great way to contribute meaningfully while maximizing token flow. Notifications are going crazy.

That said, I don’t actually have a clear overview of how many videos I’ve submitted so far. With everything moving so fast and summaries being pushed out in batches, it’s easy to lose track. I’ve been more focused on speed and volume rather than documentation. It’s something I should probably get a grip on soon—just to better measure performance and output. A little data tracking could help sharpen my strategy even more.

With my most recent summary post, I queued up an insane total of 1,992 videos, which pumped out a massive 2,574,252 tokens. That number even surprised me when I double-checked it—it's easily one of my biggest single contributions to date. It’s put me in direct competition with Taskmaster for that top leaderboard spot, and honestly, it’s becoming a fun race. I know he’s tough to beat, but these numbers show I’m in striking distance. Time to keep pushing and see just how far I can scale this before the month ends.

https://inleo.io/threads/view/mightpossibly/re-leothreads-2aecktejm?referral=mightpossibly

https://inleo.io/threads/view/mightpossibly/re-leothreads-38f1hjrg4?referral=mightpossibly

I’ve built up a small backlog in a local SQLite database, mostly from batching too many tasks without having time to process them right away. It’s not overwhelming yet, but it’s enough to notice that it’s starting to pile up. My plan is to tackle it piece by piece, keeping things steady request for summaries and production of juicy tokens for #leoai.

Updates coming in coming days.

Posted Using INLEO