TitleBridge - A FinalCut Workflow Plugin

Hacker News

I’m working at getting back into video editing. Lots of short-form videos have the captions on them. There was a video I wanted to do that for too. I did some research and the workflow was annoying. Export captions from Final Cut, import them into a website, export FCPXML from the website, import the FCPXML into Final Cut, open the imported project, select all the titles, go back to your original project, paste the titles. This was too annoying, so I did some research and created a little Final Cut workflow plugin. It is all drag and drop. The workflow becomes drag project onto the plugin, drag caption titles from plugin to your project’s timeline. I hope this little project is useful to others as well.

Visit product View on Hacker NewsMay 21, 2025

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TrustMRRFits verified-revenue profile · Strong signals: video · Missing: mobile apps, ios, personal

52%52% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntUnlikely to reach the leaderboard · Strong signals: open · Missing: mac, agents, macos

49%49% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Strong signals: created · Missing: supports, reddit linkedin, podcasting

40%40% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

29%29% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

26%26% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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