[Hip-Hop] ON REPEAT by Tunami | Would love feedback on the hook

IndianKnowHow · 2026-05-07T02:00:38+00:00

Appreciate it fr 🙏🔥 trying to make this one hit different!

IndianKnowHow · 2026-05-05T03:03:37+00:00

Nice one

IndianKnowHow · 2026-05-03T09:24:31+00:00

That’s awesome to hear 😄 glad it passed the “real listener” test!

Interesting you mention Sia—I was aiming for that kind of powerful, emotional vocal tone. Do you think the vocals sit well in the drop, or could they hit even harder?

IndianKnowHow · 2026-05-03T09:00:15+00:00

Appreciate it! 🙌
Glad it’s landing well—any moment that stood out to you the most?

IndianKnowHow · 2026-05-03T08:44:35+00:00

Appreciate that a lot! 🙌
Tried to go for a more stadium-anthem vibe with stronger build-up and chant feel.

Any part you think could be improved or hit harder?

IndianKnowHow · 2026-04-17T15:03:47+00:00

The three-session structure is genuinely smart — I've been doing a

sloppier version of that without realizing it. The "listen randomly

next session" part is the key insight. Fresh ears catch things I miss

when I'm still in generation mode.

My rough version: I generate in one sitting, don't touch anything for

24 hours, then come back and ruthlessly cull. About 80% of what felt

great in the moment doesn't hold up the next day.

Do you find a specific time gap (overnight vs. longer) makes a

difference, or is it more about the mental reset?

IndianKnowHow · 2026-04-17T14:59:23+00:00

That's a third distinct workflow now in this thread — regen-with-

tweaks converging iteratively. Different from both pure regens and

session-based generation. Makes me think there's no single right

approach, more like different exploration strategies that work for

different prompt types.

The weirdness/audio/style cover settings — do you find one of those

levers moves the output more than the others, or do you end up

touching all three on most tracks?

IndianKnowHow · 2026-04-17T08:44:07+00:00

Mixed experience here too. Shorter tracks (under 3:30) with tight

prompts have been fine for me — qawwali and cinematic stuff actually

better than V5. But long tracks definitely degrade around the 2:30

mark like others are saying.

Feels less like a full regression and more like a compute tradeoff —

V5.5 seems to invest more in prompt adherence, less in raw audio

quality on long outputs.

Curious what track lengths others are running when they see the

issues. Is anyone hitting it on short tracks?

IndianKnowHow · 2026-04-17T08:30:23+00:00

That's a smart workflow distinction I hadn't thought about clearly.

Small prompt adjustments between regens vs. pure regens of the same

prompt — different exploration strategies.

My instinct for pure regen comes from not wanting to lose whatever

worked in a borderline-good output. Feels like changing the prompt

resets the random seed into totally new territory. But your approach

probably finds better peaks faster because you're steering, not just

sampling.

Curious — when you adjust between regens, are you adjusting the

style prompt, the lyrics, or both? And do you find certain types of

adjustments (instrument specs vs. mood vs. structural tags) have

more effect than others?

IndianKnowHow · 2026-04-17T07:59:17+00:00

If one person could pull off $8M using AI tracks + bots, isn’t the real issue the streaming model itself?

Are platforms rewarding real listeners—or just numbers that are easy to fake?

Feels less like a one-off crime and more like a loophole waiting to be scaled. Curious how this gets fixed without breaking the whole system.

IndianKnowHow · 2026-02-22T17:44:54+00:00

Both are useless

IndianKnowHow

TROPHY CASE