📊 Full opportunity report: Disk Is the Contract: Inside Threlmark’s Local-First Architecture on ThorstenMeyerAI.com — validation score, market gap, and execution plan.
TL;DR
Threlmark introduces a local-first project management system where disk-stored JSON files serve as the authoritative data source. This approach enhances portability, safety, and interoperability without relying on a database. The system is designed to be restartable and external tools can participate seamlessly.
Threlmark has unveiled a novel architecture that designates disk-stored JSON files as the definitive source of project data, foregoing traditional server or database dependencies. This local-first approach allows for portable, interoperable, and restartable project management, with external tools able to participate directly through file manipulation.
The core design decision in Threlmark’s system is that the on-disk layout functions as the API, with no central server or database involved. The data resides in a directory (defaulting to ~/.threlmark) containing a manifest, dependency graph, project metadata, and individual JSON files for each roadmap card. This structure ensures every artifact is inspectable, portable, and compatible with any tool capable of reading and writing JSON files.
The architecture emphasizes safety through atomic file writes and tolerant read-merge-write updates, preventing corruption and enabling forward compatibility. Each project’s cards are stored as individual files, allowing external tools to modify them without conflicts. The self-healing nature of the lane ordering in the project board ensures consistency between the actual files and the visual representation, even when external modifications occur.
Disk is the contract: inside a local-first roadmap hub
A Next.js app on top of plain JSON files — no database, no cloud, no accounts. The key decision: the on-disk layout IS the API. Everything else cascades from taking that seriously.
There is no server-of-record — the files are the record
The UI and any external tool reach the same files through the same discipline. The data root defaults to ~/.threlmark — home-based, because it’s a shared hub every one of your apps points at.
Inspectable
Every artifact is a file you can cat, diff, grep, commit.
Portable · no lock-in
Back up with cp, sync with Dropbox / git, migrate trivially.
Interoperable
Any tool in any language joins by reading / writing files.
Restartable
No in-memory state to lose — stateless over the files.

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Two disciplined patterns instead of a database
“Just use files” is easy to get wrong. These two patterns — ported from a battle-tested sibling app — are what make file-based state sound rather than reckless.
Atomic writes
Write to a temp file in the same dir, then rename() over the target. Rename is atomic on one filesystem — a crash mid-write leaves the complete old file or the complete new one, never a half.
The board heals itself
A single roadmap.json array races when two tools write at once. One file per card makes writes collision-free. Lane order lives in board.json and reconciles on read.
board.json. It writes an item file — the board fixes itself on Threlmark’s next read. Unknown keys are preserved, so the contract is forward-compatible.
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The numbers can’t drift from the files
Anything computable from item state is computed — so the displayed numbers can never disagree with the underlying JSON. Priority is the clearest example: it’s calculated on read, never persisted.
priority — computed on read
Impact weighted heaviest; effort the only axis that subtracts. Reused verbatim from the original tool, so imported cards rank identically.
disk-based JSON file organizer
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A handoff is a first-class flow event
The genuinely 2026-shaped part: most building is done by AI agents, so Threlmark closes the loop. Watch a card go from ranked to Done without anyone dragging it.
Handoff → report → self-move
The brief carries a reporting protocol. The agent reports through REST or the filesystem — and a done report moves the card itself.
POST /api/projects/:id/
items/:itemId/reportDirect call. Applied immediately.
drop reports/.json
→ ingested on read Robust even if the server’s down at finish time.
interoperable project management app
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A small formula, and an honest hosting caveat
Because items are globally addressable (), the Portfolio ranks everything together by a status-weighted score — finishing beats starting, blockers get a boost.
Portfolio ranking — status-weighted
In-flight work floats to the top; bottlenecks cost the most, so blockers get nudged up.
Static read-only demo
Seeded data, writes to localStorage. Try-before-you-clone.
Personal Node instance
Password-gated, persistent backed-up THRELMARK_DATA_DIR.
Multi-tenant SaaS
Add accounts + per-tenant isolation. A separate build.
src/lib/*/store.ts is the natural seam — the same boundary that keeps the local tool simple is the one you’d extend for multi-tenancy. The architecture doesn’t fight that future; it just doesn’t pay for it until you need it.
Advantages of a Disk-Based Contract System
This approach offers multiple benefits: complete inspectability of artifacts, portability across different tools and environments, interoperability with any programming language, and restartability without in-memory state. By avoiding a central database, Threlmark enables a collaborative ecosystem where external tools can participate freely, and data can be backed up or migrated easily. This design fundamentally shifts how project data can be managed, shared, and extended.
Background and Rationale for Local-First Design
Traditional project management tools often rely on centralized servers or cloud databases, which can fragment data and limit portability. Threlmark’s architecture builds on principles from local-first software design, emphasizing user control, data portability, and resilience. The decision to use JSON files as the contract stems from a desire to create a simple, robust, and open system that can operate independently of cloud services or proprietary databases.
This design is inspired by similar approaches in note-taking and personal data management apps, where local file storage enables seamless synchronization, backup, and external editing. Threlmark extends these principles into multi-project roadmapping, aiming to unify fragmented roadmaps and enable AI agents to participate directly in the workflow.
“The on-disk layout is the API. It’s a simple, powerful contract that makes the system portable, restartable, and open to external tools.”
— Thorsten Meyer, creator of Threlmark
Unanswered Questions About Scalability and Collaboration
It remains unclear how well this disk-based approach scales with very large projects or teams, especially when multiple external tools modify files simultaneously. The system’s robustness under concurrent external edits and its integration with cloud storage solutions are still being tested. Additionally, the user experience in complex workflows and how the system handles conflicts require further validation.
Future Developments and External Tool Integration
Threlmark plans to release more detailed documentation and tooling support to facilitate external tool participation and collaboration. Further testing will explore scalability, conflict resolution, and integration with cloud storage providers. The project aims to demonstrate how this architecture can support larger teams and more complex workflows while maintaining its core benefits.
Key Questions
How does Threlmark ensure data safety without a database?
It uses atomic file writes—writing to a temporary file and then renaming it—ensuring that partial writes cannot corrupt data. Read-merge-write patterns also preserve data integrity during updates.
Can external tools modify project data directly?
Yes, since each artifact is a JSON file, any tool capable of reading and writing JSON can participate, enabling a highly interoperable ecosystem.
What are the limitations of this approach?
Handling concurrent external modifications at scale and integrating with cloud storage solutions are still being explored. The system’s performance with very large projects is also under assessment.
Is this approach suitable for team collaboration?
Potentially, but further development is needed to handle conflict resolution and synchronization in multi-user environments effectively.
Source: ThorstenMeyerAI.com