DiskSpaceOS: Open-Source Mac Disk Space Visualizer
Mac users seeking a comprehensive disk space visualizer are forced to choose between paid proprietary applications or free text-based CLI tools like ncdu, leaving a gap for a modern, free, open-source graphical user interface.
Is the problem real?
Users needing to analyze disk space on macOS have to choose between paid GUI applications or free command-line tools, creating a gap for a free, open-source GUI alternative.
EVIDENCE
Show HN: BloomDisk – free open-source alternative to paid Mac disk analyzers
I’d still prefer ncdu for most cases, but for people who prefer UI over CLI - this tool looks great.
commentThanks! I’d still prefer ncdu for most cases, but for people who prefer UI over CLI - this tool looks great.
Who feels this pain?
TARGET USERS
Technical or semi-technical macOS users who regularly run out of disk space and want a visual, fast tree-map layout without buying a premium license.
Context
Current Workarounds
Where's the gap?
EXISTING SOLUTION GAPS
OPPORTUNITY & VALUE
Explicit mention that current polished options require payment, leaving a direct opening for an open-source utility targeting UI-first users.
Unlike expensive incumbents, this tool is fully open-source, private, tracking-free, and offers a smooth graphical user interface that matches terminal-level performance.
A high-performance, open-source native macOS application that generates lightning-fast visual interactive tree-maps of disk usage, combining the UI accessibility of premium apps with the transparency and cost-free nature of open-source software.
How does it make money?
MONETIZATION
Model
Signals show users prefer free CLI tools over paid options, meaning willingness to pay a high SaaS fee is low; however, Mac users frequently buy cheap App Store packages for convenience or sponsor active open-source utilities.
How do you ship it?
MVP PLAN
“Visualize and reclaim your Mac disk space with a fast, open-source native UI.”
A high-performance, open-source native macOS application that generates lightning-fast visual interactive tree-maps of disk usage, combining the UI accessibility of premium apps with the transparency and cost-free nature of open-source software.
Core Features
Weekly Roadmap
- •Implement parallel file-system directory scanning optimized for macOS APFS
- •Build internal tree data structure to track folder sizes accurately
- •Create basic CLI output to verify scanning speed against ncdu
- •Render an interactive, responsive treemap or sunburst visual component using native SwiftUI
- •Connect the scanner engine to update the UI reactively
- •Implement click-to-drill-down logic for nested folders
- •Add drag-and-drop support to scan specific target folders
- •Implement secure trash/delete functionality directly from the visual interface
- •Package application bundle and distribute to alpha testers via Homebrew cask
- •Publish codebase under an MIT/GPL license on GitHub with clean documentation
- •Submit launch posts to Hacker News, Product Hunt, and r/mac
- •Set up a GitHub Sponsors page and an optional paid Mac App Store listing for convenience
Launch on Hacker News, Product Hunt, and target subreddits like r/mac, r/apple, and r/opensource, highlighting the app as an open-source alternative to paid apps.
RISKS & ASSUMPTIONS
Top Risks
If the file system traversal engine is slower than native CLI utilities like ncdu, technical users will quickly abandon the tool.
Relying on donations or low-cost App Store versions might fail to cover long-term maintenance and Apple Developer subscription fees.
Strict macOS Gatekeeper and Full Disk Access permissions might confuse non-technical users during initial setup.
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 2 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 Other founders
It sits at the intersection of "data-management", "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 "DiskSpaceOS: Open-Source Mac Disk Space Visualizer" 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 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.