PAIN TRIGGERS
macOS does not clearly explain what fills up disk space or changes within 'System Data'.
Other· macOS usersPain 8.00/10WTP 7.0/10Market 9.0/10Validation 8.0Confidence 85%Oct 7, 2026
SpaceDelta: Differential Storage Tracker for macOS
macOS obscures storage consumption under vague labels like 'System Data', hiding massive app caches (e.g., Spotify) and failing to track what newly consumed disk space over a given timeframe.
creatorsdesktop-appdevelopersmacosmonitoringproductivitysaassolo-foundersworkflow
1
STAGE 01 · PROBLEM
Is the problem real?
CANONICAL PROBLEM
macOS obscures storage usage under vague labels like 'System Data' and fails to track storage changes over time or expose background app cache bloat.
FREQUENCY
Multiple repeated complaints in the post and comments.
INTENSITY
Users explicitly describe existing tools as bloated/overkill and mention workaround behavior.
EVIDENCE
DiskFox - see why and where your storage keeps going (14 day free trial followed by a one of £7.99 payment)
SideProject14
DiskFox - see why and where your storage keeps going (14 day free trial followed by a one of £7.99 payment)
SideProject14
That Spotify cache leaving a whole GB behind is wild. macOS really makes you hunt down your own storage.
commentThat Spotify cache leaving a whole GB behind is wild. macOS really makes you hunt down your own storage.
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STAGE 02 · CUSTOMER
Who feels this pain?
TARGET USERS
macOS usersMac Power Users & Developers
Developers and prosumers who regularly run out of disk space on non-upgradable Macs and need to identify exact sources of storage bloat.
Context
Diagnose and reclaim lost disk space on a Mac by identifying what specific files, caches, or changes caused storage to fill up.
Manually hunting down storage usage and hidden caches across the file system because the OS provides insufficient details.
Current Workarounds
Running manual terminal commands like `du -sh` to hunt down large folders
Blindly deleting apps and caches because macOS 'System Data' is too vague
Using static disk mappers that don't show historical changes
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STAGE 03 · MARKET
Where's the gap?
EXISTING SOLUTION GAPS
macOS built-in storage management lacks granular visibility and historical comparison of storage changes.
Existing storage tools fail to track what changed between scans or clearly identify recurring cache bloat.
OPPORTUNITY & VALUE
Why Now
Repeated complaints about the vagueness of 'System Data' and the specific inability to track what *changed*.
Value Proposition
Focuses exclusively on time-series storage changes (what grew since yesterday) rather than just visualizing static file sizes like traditional disk mappers.
Product Direction
A lightweight macOS menu-bar utility that takes automated, low-overhead daily snapshots of the file system and highlights exactly which files, folders, and hidden caches grew the most between two dates.
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STAGE 04 · BUSINESS
How does it make money?
MONETIZATION
$29one-timeLifetime license per major macOS version
Model
One-time purchase
WILLINGNESS TO PAY
Users explicitly express frustration over hunting down hidden data. Time saved for a developer making $50+/hr justifies a sub-$30 utility fee immediately.
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STAGE 05 · EXECUTION
How do you ship it?
MVP PLAN
“Stop guessing what ate your Mac storage today.”
A lightweight macOS menu-bar utility that takes automated, low-overhead daily snapshots of the file system and highlights exactly which files, folders, and hidden caches grew the most between two dates.
Core Features
Differential storage scanning (compare disk state between Date A and Date B)
Auto-mapping of common hidden cache folders (Spotify, Xcode, npm, etc.)
Menu-bar alert when a background app dumps large amounts of cache data
Weekly Roadmap
1
W1-W2
Core snapshot engine can rapidly index file sizes and store them efficiently.
- •Build fast file-tree traversal using macOS native APIs
- •Implement local SQLite storage for daily snapshot states
- •Add Full Disk Access permission flow
2
W3-W4
Differential engine can compute and display what changed between two dates.
- •Build delta-calculation logic (size differences between snapshots)
- •Develop basic SwiftUI list view showing top growing folders
- •Implement basic menu bar icon
3
W5
App automatically translates vague 'System Data' paths into readable app names.
- •Map common Library cache paths to readable app names (e.g., Spotify, Xcode)
- •Optimize background scanning for low CPU usage
- •Onboard 10-20 beta testers from developer communities
4
W6
Ready for public release and monetization.
- •Integrate LemonSqueezy or Gumroad for license key validation
- •Create landing page highlighting 'delta' tracking vs competitors
- •Launch on Product Hunt and r/macapps
Launch Strategy
Launch on Hacker News, Product Hunt, and developer-focused subreddits (r/macapps, r/webdev, r/apple).
RISKS & ASSUMPTIONS
Top Risks
Strict macOS Sandboxing
Apple is increasingly hiding system directories (like Apple Intelligence models). The app may not be able to scan everything users want.
Performance Overhead
Scanning a 1TB drive with millions of small files daily could cause high CPU spikes and drain MacBook batteries if not optimized.
Low Retention
Storage cleaning is often a one-off task when the disk is full, making it hard to maintain user engagement or justify subscription pricing.
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STAGE 06 · DECISION
Should you build it?
NEED A CLEARER CALL?
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 opportunity scores well above the median for ideas surfaced by MonetScope, with a validation sub-score of 8/10 against 3 independently sourced evidence signals. A "strong" rating in this band typically means the pain signal is consistent and recurring across multiple discussions, but one of the three pillars (severity, willingness to pay, or competitor weakness) is somewhat softer than top-tier opportunities. Founders evaluating this should focus customer discovery on the softest pillar first — confirming the gap before committing engineering time to a build.
Why this matters for Other founders
It sits at the intersection of "creators", "desktop-app", "developers", 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 other 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 "SpaceDelta: Differential Storage Tracker for macOS" 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 creators?
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 other 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.