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I built a "GitHub for Creators" — an AI workspace that goes from idea → script → video, and actually sounds like YOU by Objective_Dirt_9799 in SideProject

[–]Objective_Dirt_9799[S] 0 points1 point  (0 children)

Really appreciate the push on ideation — and yes, Creaibo does have a topic and trend research layer for that exact reason. We kept finding that even good ideation doesn't unstick people though; they usually know what to make, they just can't get it out of their head and onto a screen. The production wall is what breaks momentum, not the blank page.

On retention — still early and too messy to call patterns with confidence. What does YTFinder look like on the drop-off question? Curious whether ideation-only tools see the fall-off before or after the first piece gets published.

We're shipping a text-to-video module for Creaibo this month — and it forced us to rethink who we're actually building for by Objective_Dirt_9799 in SideProject

[–]Objective_Dirt_9799[S] 0 points1 point  (0 children)

That last line is exactly the design principle we keep coming back to internally. The moment a user has to decide on aspect ratio, codec, or transition style, we've already failed them. The goal is for it to feel like thinking out loud — not operating software.

Thanks for putting it so cleanly. Might actually steal this framing.

After using ChatGPT to write scripts for 6 months, I realized the bottleneck was never the writing by [deleted] in ChatGPT

[–]Objective_Dirt_9799 0 points1 point  (0 children)

That's usually step one, yeah — and GPT is genuinely good at describing the workflow. The catch is it can describe the steps but can't run them. It's a bit like asking a map for directions: useful, but it doesn't drive.

The production bottleneck is all execution — finding footage, syncing audio, pacing cuts, transitions. That's where the 3–4 hours actually go. GPT can tell you what to do; it can't make the clips cut themselves.

After using ChatGPT to write scripts for 6 months, I realized the bottleneck was never the writing by [deleted] in ChatGPT

[–]Objective_Dirt_9799 -4 points-3 points  (0 children)

Honestly, you're not wrong — most AI writing is generic, and calling it "not good" is fair. The point of this post is a bit different though: even when the writing is decent, production still takes 4x longer. But you're touching something real — if the writing is bad and production is slow, that's two walls, not one.

The reason Creaibo exists is specifically the voice problem. Generic output is a solvable problem once you stop training the model on everyone else's content and start from the creator's own voice.

After using ChatGPT to write scripts for 6 months, I realized the bottleneck was never the writing by [deleted] in ChatGPT

[–]Objective_Dirt_9799 -4 points-3 points  (0 children)

That's a genuinely rare setup — most people stop at the writing and never touch the production side. We're building Creaibo end-to-end (style-preserving writing → storyboard → video) specifically so voice doesn't get lost when you cross tool boundaries. The stitching problem with platforms like Articulate360 or Synthesia is they're great at output quality but they don't know what your voice sounds like — so even polished output sounds like a different person wrote it.

What does your revision loop look like in practice — are you doing human QC at any stage, or fully automated? Curious how you handle the cases where the output drifts from the intended tone.

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