VidScan: Instant Largest Video Finder & Compressor for iPhone
Native Photos app lacks quick sorting by largest videos due to speed issues, and apps like iCompress are slow, require full rescans when switching apps, and lack progress bars, making storage cleanup frustrating
Is the problem real?
iPhone users struggle to quickly identify and compress largest videos to free up storage due to slow or missing features in native apps and alternatives
EVIDENCE
I Built Utility for videos with good UX and saved myself like 400GB of storage
I Built Utility for videos with good UX and saved myself like 400GB of storage
I was actually struggling with same problem few weeks ago when my phone storage was almost full and couldn't figure out which videos were eating up all the space
commentNice work on building this. I was actually struggling with same problem few weeks ago when my phone storage was almost full and couldn't figure out which videos were eating up all the space The speed improvement over existing solutions sounds really good - waiting forever for scans is so annoying when you just want to quickly free up some storage
waiting forever for scans is so annoying when you just want to quickly free up some storage
commentNice work on building this. I was actually struggling with same problem few weeks ago when my phone storage was almost full and couldn't figure out which videos were eating up all the space The speed improvement over existing solutions sounds really good - waiting forever for scans is so annoying when you just want to quickly free up some storage
Who feels this pain?
TARGET USERS
iPhone users with low phone/iCloud storage and large video libraries from social media
Context
Current Workarounds
Where's the gap?
EXISTING SOLUTION GAPS
OPPORTUNITY & VALUE
Multiple users report slow scans, rescan issues, and inability to find largest videos; appears in distinct posts and comments.
Optimized indexing for sub-second scans on large libraries, no rescan on app switch, battery-efficient on-device processing
A fast iOS app that instantly indexes videos by size without full rescans, compresses largest ones on-device with real-time progress and quality previews
How does it make money?
MONETIZATION
Model
Users endure slow free apps like iCompress despite complaints, indicating tolerance for paid upgrades to eliminate frustrations like rescans; storage crises create impulse buys for quick relief.
How do you ship it?
MVP PLAN
“Free up gigabytes of iPhone storage by compressing largest videos in seconds.”
A fast iOS app that instantly indexes videos by size without full rescans, compresses largest ones on-device with real-time progress and quality previews
Core Features
Weekly Roadmap
- •Request Photos library permission and fetch video assets
- •Sort and display top 50 largest by file size
- •Implement persistent local index for quick reloads
- •Build H.264/AV1 compression pipeline with size preview
- •Add real-time progress bar and save to Photos
- •Test no-rescan on app background/foreground
- •Add 5-video free limit and $4.99 Pro IAP via StoreKit
- •Refine list UI with thumbnails and savings estimates
- •Run TestFlight beta with r/iphone recruits
- •Prepare App Store screenshots and 'storage full' keywords
- •Demo video for Reddit/TikTok
- •Submit for review and plan day-1 promo posts
App Store launch targeting 'iPhone storage full videos', Reddit ads on r/iphone r/iOS r/socialmedia, X threads on iPhone storage hacks
RISKS & ASSUMPTIONS
Top Risks
iOS privacy restrictions or API changes could slow scans or block full library access, undermining core value.
If scan-only free tier resolves most pains, users may not upgrade, capping revenue.
High competition in iPhone cleaner apps requires strong ASO and reviews to rank for storage queries.
iOS aggressive memory management could interrupt long compressions, mimicking competitor flaws.
Should you build it?
Run an Investment Memo to get a structured Go / No-Go verdict, competitor landscape, unit economics, and a 90-day validation roadmap for this opportunity.
Generate an investment memoWhat this score means
This idea scores in the upper-middle range of opportunities surfaced by MonetScope, with a validation sub-score of 8/10 against 4 independently sourced evidence signals. A "promising" rating usually indicates a real pain has been detected and discussed in the open, but the pipeline did not find enough signal to flag it as urgent or high-frequency. These opportunities can still produce excellent businesses — they often correspond to "boring" problems that established players have ignored — but the founder should expect a longer customer-development cycle to confirm willingness to pay.
Why this matters for App founders
It sits at the intersection of "data-management", "ios", "iphone-users", which makes it relevant to a specific subset of founders rather than a generic horizontal opportunity. Opportunities in this category typically reward founders who can describe the pain in the user's own language — both because that's the basis of effective marketing, and because it's the strongest signal that the founder has done the upfront listening. The MonetScope pipeline surfaces this category alongside other app signals, which is why it appears here rather than in a generic "trending ideas" feed.
Scores are derived from real forum discussions across Reddit, Hacker News and X, weighted by evidence volume and signal quality. How scoring works
Frequently asked questions
Is "VidScan: Instant Largest Video Finder & Compressor for iPhone" a real validated startup idea or just an AI-generated suggestion?
MonetScope does not generate ideas from a language model's imagination. Every opportunity on this site is anchored to specific source posts and comments from real public discussions — typically on Reddit, Hacker News, or X — where actual users describe the pain in their own words. The AI's role is structuring, scoring, and grouping those signals into a navigable opportunity, not inventing the problem.
How recent is the underlying data for data-management?
MonetScope's spider pipeline runs continuously and surfaces opportunities as new evidence accumulates. The "Updated" date in the header reflects the most recent re-scoring of this specific opportunity. Most app opportunities visible in the public catalog draw from discussions in the last 30-60 days; older signals are de-prioritized because user pain shifts faster than most founders assume.
What's the difference between "overall score" and "validation score"?
Overall score is a composite across six dimensions — pain, urgency, willingness to pay, market size, defensibility, and execution ease — designed to give a single number for triage. Validation score is narrower: it asks "how cleanly does the same signal repeat across independent sources?" An opportunity can score high on overall but lower on validation when one or two large discussions dominate the evidence; conversely, validation can be high on a smaller-overall idea where the signal is consistent but the addressable market is modest.