That's a tough spot to be in with 4 accounts at that scale - managing 150k+ followers and 500M+ views across them is no small feat. I've seen this exact situation when managing 30+ TikTok creators - sometimes you get backed into a corner with content scheduling.
From what I've tracked, posting multiple times in a short window can work, but it's tricky. The algorithm seems to treat each video independently, but there's definitely audience fatigue to consider. I've seen creators post 5-6 times in a day where the first few videos do well (80-90% of their usual engagement), then it drops off to 40-50% for later posts as their followers get notification fatigue.
What I found most helpful was tracking the actual performance data across these bursts. When I was managing creators, I built rostr specifically for this - you paste in usernames and it shows follower counts, engagement rates, and per-video stats that auto-update weekly. It helped me see patterns in how posting frequency affected different creators' audiences.
For your situation with 4 established accounts, I'd suggest tracking the performance of each post in your burst. Are certain times of day holding up better? Are specific content types more resilient to frequency? The elliebarker example is interesting - she's built an audience that expects that volume, which is different from suddenly shifting posting patterns on established accounts.
How are you currently tracking the performance impact across those 4 accounts when you have to post multiple times?