Digger Solo vs Hillnote

Digger Solo and Hillnote are both productivity tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

Digger Solo

The vendor describes Spotter as a semantic search layer that sits on top of your local file collection, letting you query by concept rather than keyword. It handles PDFs, images, documents, and music files, and the docs describe a relationship visualization feature that maps how files connect semantically. Because processing stays on your machine, nothing is uploaded to a cloud service. The free tier caps at 500 files with no index updates, which means any new files you add after the initial scan fall outside the search until you upgrade. Teams managing thousands of research papers or archive folders hit that ceiling fast.

Hillnote

The core workflow is a single markdown source shared across documents, databases, kanban boards, canvas, and slides — so there is no export step when switching views, and no proprietary schema blocking outside tools. Local models (Apple Intelligence, Ollama) handle inline edits and quick rephrasing without touching a server; auto-mode routes heavier requests to a frontier model. A built-in MCP server exposes your workspace to any MCP client over STDIO, so agents you already use can act on files without a custom integration. The wall appears at the collaboration layer — this is a single-user, file-first tool, and teams that need concurrent editing or shared permissions will find no native path to that here.

Attribute	Digger Solo	Hillnote
Pricing	Paid	Paid
Price	€49 one-time or €4.90/month	—
Free trial	No	No
Open source	No	No
Has API	No	No
Self-hosted option	Yes	Yes
Platforms	macOS, Windows, Linux	Mac, Windows, iOS, Android
Pros	All processing runs locally with no cloud upload, so sensitive documents — client contracts, medical records, draft research — never leave the machine. Concept-based search across PDFs with cited passage retrieval, so you locate the right paragraph without remembering the filename or reading the whole document. Duplicate detection across scattered folders, so years of disorganized downloads and backup copies stop inflating search results and eating disk space. Semantic music queuing from an unorganized library, so you get a coherent listening experience without manually curating playlists or relying on a streaming service's taste graph. Self-hosted via a Linux .deb package, so teams with air-gapped environments or strict data residency requirements can deploy it without a cloud dependency.	Every file is stored as plain markdown on your local disk, which means you can open, search, and version-control your entire knowledge base with any editor — no vendor dependency standing between you and your own work. Local AI models handle inline edits and rephrasing on-device even without a network connection, so writing assistance does not stop when your internet does. Auto-mode routes between local and frontier models based on task weight, so you avoid paying frontier API costs for simple rewrites while still having that capacity available for heavier lifting. A built-in STDIO MCP server exposes your workspace to Claude Code, Codex, and any MCP client as plain files — no exports, no schema translation — so agents you already use can act on your notes without a custom integration layer. Sync is opt-in and can be turned off entirely, which means your files genuinely stay on your machine when you want them to, rather than syncing by default and requiring you to trust a vendor's data handling.
Cons	The free tier caps at 500 files and does not update the index after the initial scan — any file added after setup is invisible to search until you upgrade, which makes it unusable as a living workspace for anyone adding documents regularly. There is no API, so Spotter cannot be wired into a broader workflow: no programmatic queries, no integration with a note-taking app, no automated tagging pipeline. Teams that need file intelligence inside an existing tool stack switch to an alternative with an API surface. Linux is the confirmed self-hosted platform via the .deb package; the scraped content does not confirm native packages for other operating systems, so Windows or macOS users relying on local processing may face a gap the vendor has not publicly addressed.	There is no concurrent editing or shared permissions model described anywhere in the vendor's documentation — a two-person team that needs to write to the same document simultaneously has no path forward here and will need to move to a tool like Notion or Obsidian Publish with a sync layer. The API surface is limited to the MCP pathway; there is no REST or webhook interface for programmatic access outside of agent tooling, which means teams trying to pipe Hillnote data into dashboards or external automations hit a dead end and typically resort to file-watching scripts on the markdown directory. Mac is the stated primary target (the download CTA is 'Download for Mac'), and while Windows, iOS, and Android are listed as sync targets, the maturity gap between platforms is not disclosed — teams standardized on Windows as a primary device are taking on unknown parity risk.

Bottom line

Digger Solo and Hillnote are closely matched on pricing model, openness, and API availability — pick by feature set and platform support in the table above.

Frequently asked questions

What is the difference between Digger Solo and Hillnote?

Digger Solo is Paid, while Hillnote is Paid. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is Digger Solo better than Hillnote?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.