AutoCut Dead Space Remover

The pain is real and well-documented. Talking-head YouTubers spend 2-5x more time editing than recording. Silence/filler removal is the single highest-ROI automation. The Reddit pain signals you found are representative of thousands of similar posts. Creators literally describe it as the most tedious part of their workflow. Docking 2 points because some creators actually enjoy editing or use pauses intentionally for pacing.

TAM: 10-15M active YouTube creators, ~70% self-editing = ~8-10M potential users. At $12/mo, theoretical TAM is massive ($1B+), but realistic serviceable market is much smaller — perhaps 500K-1M creators who upload frequently enough and feel enough pain to pay. SAM is likely $50-100M. Solid but not enormous for a specific niche tool.

This is the weak link. Small YouTubers are notoriously price-sensitive — many aren't making money from their channels yet. Gling at $15/mo and Descript at $24/mo already serve this market, and CapCut offers a free alternative. Your $12/mo is competitive but you're competing against free (CapCut) and against Gling which has brand recognition. The Reddit posts you cite are from NewTubers — beginners who are least likely to pay. Creators who DO pay tend to be at the 10K-100K subscriber range where they're earning revenue but can't yet afford an editor.

The core tech (silence detection via audio levels) is straightforward — Timebolt and Recut prove this. AI filler word detection requires speech-to-text (Whisper/Deepgram are accessible APIs) plus classification, which is feasible. 'Low-energy segment' detection is harder and more novel — requires defining what 'low energy' means algorithmically. Video processing at scale is compute-expensive (GPU/cloud costs). A solo dev can build an MVP with silence + filler word removal in 4-8 weeks using Whisper + FFmpeg. The 'low-energy detection' and polished UX would take longer. Cloud processing costs will eat into margins significantly.

This is a crowded space. Descript ($100M+ funded), Gling (YC-backed), CapCut (ByteDance billions), and native editor features from Adobe/Apple are all converging on this exact problem. The gap that exists — 'low-energy segment detection' — is genuinely novel but hard to define and execute well. The 'workflow integration without being a full editor' gap is served by Gling. The 'affordable' gap is served by CapCut (free). You'd be entering a market where the biggest players are actively building exactly what you're building.

Creators who upload regularly (weekly+) would use this tool every week, making subscription natural. Usage scales with upload frequency. However, churn risk is high — creators quit YouTube at alarming rates, and those who grow big enough hire editors. Your best customers (frequent uploaders who self-edit) are a transitional segment that either quits or outgrows you.