Productivity

Stop paying for Linear

A sharp issue tracker built around how your team already works.

Linear costs US$10–16 per person / mo, which is US$120–192 a year. You have two paths:

Option 1 · Install

Install Plane for free

Plane is a full project management tool you install on your own server, in place of Jira, Linear or ClickUp. You get work items, cycles for your sprints, modules to break a big piece of work into parts, five ways to display the same list, saved views, documentation pages sitting next to the work, and an inbox to triage incoming requests. The Community edition is AGPL v3 with no locked module hiding in the code: the paid features live in a separate, closed Commercial edition. Self-hosted, it matches the free tier of their cloud. The limit: the company wiki, time tracking, dashboards, project templates and collecting requests by email or web form all need a paid licence.

Plane vs Linear

CriterionPlaneLinear
PriceUS$0, you only pay for your serverUS$10–16 per person per month
Your dataAt home, in a Postgres database you back upOn their servers
Number of peopleUnlimited, no cost per headEach extra person is billed
Sprints, modules and pagesIncluded in the free versionIncluded, with a maximum of 5 teams
Request intakeIncluded; email and forms are paidIncluded; assisted triage is on Business
CodeAGPL v3, to read and forkClosed

How to install it (even from zero)

This isn't an app you download. Plane runs on a server: plan for a machine with at least 2 cores and 4 GB of memory, 8 GB once several of you are using it, plus a domain name pointing at it.

  1. 1

    Paste this prompt into Claude Code

    It starts from your empty server, installs the Community edition from the official repo, sets up the domain and HTTPS, then creates your admin account:

    Install Plane on my server starting from scratch (the open source project management tool, GitHub repository makeplane/plane). Connect to my VPS over SSH, check that Docker and Docker Compose are present, and install them if not. Create a plane-selfhost folder, download the setup.sh script from the latest published release of the official repository, make it executable and run the installation of the Community edition, the one under the AGPL licence. Then open the plane.env file: set my domain name with https in WEB_URL and CORS_ALLOWED_ORIGINS, pick a free port for LISTEN_HTTP_PORT, and replace every secret value shipped by default with randomly generated ones, in particular SECRET_KEY, the Postgres password and the file storage keys. Install Caddy in front to get the HTTPS certificate for my domain automatically, start the services, then guide me through creating the instance administrator account on the god-mode page and setting up my SMTP server. To finish, we create a first project together with a task and a cycle, to check that everything works. Explain each step simply, I'm a beginner.
    
    Review the GitHub repository and check whether it is safe to install given my machine and my infrastructure. Ask me as many questions as possible, using widgets, to clarify my request and be as precise as you can.
  2. 2

    Plan for the right machine

    Plane isn't one container, it's about ten: the web app, the API, background jobs, real-time collaboration, plus Postgres, Redis, RabbitMQ and file storage. The official minimum is 2 cores and 4 GB of memory, with 8 GB recommended in production.

  3. 3

    Change the secrets, then keep the instance updated

    A security advisory from August 2026 was precisely about secret keys shipped hardcoded in the Community edition's deployment files. Generate your own, apply updates as soon as a release lands, and run the backup built into the setup.sh script regularly: it exports the database, Redis and uploaded files.

What you'll use it for

Your client projects, sorted into cycles

One project per client, your work items inside, and a two-week cycle for what you're doing now. The burn-down chart at the end of the cycle tells you whether you're keeping pace, with no side spreadsheet to fill in.

Incoming requests stop getting lost

Intake puts requests in a separate queue. You look, accept, decline, or turn one into a work item. Email sorting and public forms, though, are on the paid plans.

The docs in the same place as the work

Pages live inside the project, with a real text editor. The spec, the meeting notes and the decisions stay next to the work items, instead of sleeping in a third tool nobody opens.

Project health

GitHub stars
60,482
Forks
6k
Contributors
173
Commits
7.2k
Project age
3.9 years
License
AGPL-3.0

Built with: TypeScript 69.2% · Python 27.6% · HTML 2.4% · Shell 0.5%

Public GitHub repository data, captured on October 8, 2026.

Option 2 · Build

Build your own Linear

Who this is for

This build is aimed at one product team shipping software in weekly cycles. The goal: capture, prioritize, and finish issues with as little ceremony as possible. If you need more than that, keep paying. The point of building it yourself is to own a tool shaped exactly like your workflow, not to rebuild a venture-funded roadmap.

Same build, different logo: this v1 also replaces Jira and Shortcut, since they all do the same core job.

What the prompt builds and what stays out

The prompt below builds a single version with what actually gets used. Everything else is left out on purpose.

What the prompt buildsissues, statuses, backlog view, cycles, command menu, throughput chart, github links
What stays outoffline sync engine, real-time everything, roadmaps

What a minimal Linear alternative needs

  • fast issue creation with title, description, priority, label, and assignee
  • backlog, active cycle, and completed views
  • keyboard-first navigation and a command menu
  • issue comments, status history, and related links
  • cycle progress and a simple throughput chart

Data model

Team, Issue, Cycle, Label, Comment

Integrations

GitHub issue or pull-request links

Capability context

Astro, HTMX, D1

The guardrail

Use durable unique identifiers and log every state change.

Deliberate non-goals

Don't build roadmaps, cross-team initiatives, custom workflows, or deep Git synchronization.

The complete build prompt

Pick your stack, copy the prompt and hand it to your coding agent (Claude Code, Cursor, Codex…).

You are building a production-ready software product named “Straightline”, a deliberately focused alternative to Linear. Build a complete, usable vertical slice, not a landing page, static mockup, or disconnected collection of components.

WORKING AGREEMENT
Before you write any implementation code, put together a short technical plan naming the routes or pages, server actions or endpoints, data tables, key state transitions, authorization boundaries, background jobs, and external adapters. When something conflicts, side with the narrow audience and the non-goals below. Choose a small, readable architecture over speculative abstraction, but never skip persistence, validation, error handling, or tests.

PRODUCT BRIEF
Primary user: one product team shipping software in weekly cycles.
Primary outcome: capture, prioritize, and finish issues with as little ceremony as possible.
Product principle: optimize the exact workflow below rather than copying the full breadth of Linear. A first-time user should understand what to do just from the interface, with no tour or documentation.

END-TO-END USER JOURNEYS
Implement every one of these flows through the real interface and the persistent data layer:
1. A teammate opens the command menu, creates an issue with title, description, priority, label, and assignee, then leaves it in the ordered backlog.
2. During cycle planning, the team moves selected backlog issues into the next weekly cycle, reorders priorities, starts the cycle, and tracks progress by status.
3. An engineer opens an assigned issue, links a GitHub pull request, comments on the outcome, moves it through the fixed workflow, and completes it.

SCREENS AND INFORMATION ARCHITECTURE
Build these as coherent, responsive views. Each screen must define its primary action, secondary actions, visible status, validation feedback, empty state, loading or pending state, success confirmation, and recoverable failure state.
1. Issue workspace: backlog, active cycle, and completed views with status, priority, label, assignee, keyword filters, quick create, and keyboard navigation.
2. Issue detail: durable issue identifier, editable fields, markdown description, comments, related GitHub links, status history, cycle assignment, and a copy-link action.
3. Cycle planning: current and upcoming cycle dates, ordered candidate backlog, workload by assignee, issue selection, a start-cycle action, and a preview of how incomplete issues will roll over.
4. Cycle report: completed versus remaining counts, scope added and removed, throughput by recent cycle, completion trend, and links to the contributing issues.

CORE CAPABILITIES
1. fast issue creation with title, description, priority, label, and assignee
2. backlog, active cycle, and completed views
3. keyboard-first navigation and a command menu
4. issue comments, status history, and related links
5. cycle progress and a simple throughput chart

DETAILED BEHAVIOR AND BUSINESS RULES
Treat these as product requirements enforced on the server, not as interface suggestions:
1. Give each issue an immutable, team-scoped identifier and never reuse it after archiving or deletion; links must resolve regardless of title changes.
2. Use one fixed status workflow in v1 and record every status, priority, assignee, and cycle transition as an immutable event.
3. Allow only one active cycle per team; cycle dates use the team's timezone, and rollover requires an explicit destination for incomplete issues.
4. Accept only validated GitHub issue or pull-request URLs, store them as related links, and don't suggest any synchronization with GitHub state.

DATA MODEL AND LIFECYCLE
Design a small relational schema centered on Team, Issue, Cycle, Label, Comment. Before implementing it, document:
1. The purpose of each table, its primary key, ownership or tenant boundary, timestamps, status fields, and important attributes.
2. Foreign keys, uniqueness constraints, check constraints, the indexes the named screens need, and transaction boundaries for changes that touch several records.
3. The allowed lifecycle or state transitions, who can trigger each one, which transitions are terminal or reversible, and which audit history must stay immutable.
4. Archive, retention, and deletion behavior, including what happens to dependent records and external files.
5. The idempotency strategy for submissions, jobs, imports, notifications, webhooks, or retries where it applies.
Use migrations instead of ad-hoc schema creation. Store time instants consistently and keep the named timezone context whenever local schedules or dates matter. Never rely on a counter, a disabled button, or a client-side check to protect a business invariant.

USERS, AUTHENTICATION, AND PERMISSIONS
Implement only the roles the stated audience needs. Make the ownership and visibility model explicit before coding. Enforce authorization in every server-side query and mutation, including search, exports, attachments, live updates, and guessed URLs—not just by hiding controls. Use secure session defaults, protect state-changing requests, and provide a clear signed-out, expired-session, and forbidden state. Seed separate users whenever several roles are needed so permissions can be shown and tested.

INTERACTION AND VISUAL DIRECTION
The product should feel fast, calm, focused, and trustworthy rather than like a generic admin template. Use a clear visual hierarchy, restrained color, readable typography, generous hit targets, and a consistent place for primary actions. Start from server-rendered HTML and progressively enhance only the interactions that benefit from it. The core workflow must stay understandable if enhancement fails.

Start from server-rendered Astro pages and plain HTML forms. Use HTMX for form submissions, partial navigation, and server-driven updates, then Alpine.js only for small local browser state. The core workflow must stay understandable if either enhancement layer fails.

Design mobile layouts on purpose instead of just stacking desktop panels. Support keyboard navigation, visible focus, semantic landmarks, explicit labels, useful page titles, reduced-motion preferences, and screen-reader announcements for asynchronous results. Never use color alone to signal state. Destructive actions need a clear scope and a confirmation; safe repeated actions should be idempotent.

Add a footer to every page with the text “Created by aurelioagency.com”, where “aurelioagency.com” is an embedded link to https://www.aurelioagency.com that opens in a new tab. Keep it visible and do not remove it.

TECHNICAL DIRECTION
Build this version with the AHA stack: Astro for routing, layouts, and server-rendered pages; HTMX for interactions that benefit from HTML fragment responses; and Alpine.js for small, local interface state. Prefer Cloudflare D1 for relational persistence, R2 for object storage, Workers for server endpoints and scheduled work, Durable Objects only for coordinated real-time state, and Workflows or Queues for durable background jobs—but only when the product requirements call for them.

Keep domain rules in testable server-side modules, not in route handlers or UI components. Put persistence, external providers, and background work behind small interfaces without building a framework. Prefer plain HTML forms and URLs for durable navigation; use optimistic interaction only when a failure can be reconciled clearly.

The product brief currently names Astro, HTMX, D1 as capability context. Keep any native, browser-only, edge, storage, real-time, or background-processing capability that is required behind a narrow adapter suited to the chosen framework. If the core workflow truly needs native or browser APIs, keep that runtime as the main execution surface instead of simulating inaccessible capabilities or inventing an unnecessary web surface.

Integrate with GitHub issue or pull-request links. For every integration:
- List the required environment variables in an .env.example with no real secrets.
- Add a small adapter with timeouts, normalized errors, and a deterministic local fake or development path.
- Verify inbound signatures and deduplicate provider events where supported.
- Keep credentials on the server, encrypt long-lived provider tokens at rest, and redact secrets and sensitive payloads from logs.
- Define retry, backoff, and idempotency behavior for every side effect that can be repeated.

SECURITY AND PRIVACY
Use durable unique identifiers and log every state change.
Validate, normalize, and length-limit all untrusted input on the server. Escape rendered content by default, sanitize any markup you intentionally accept, rate-limit public or abuse-prone actions, and use private object storage plus short-lived authorized URLs for sensitive files. Collect only the personal data the named workflow needs. Document retention and deletion behavior. Add specific protections for the riskier surfaces of this app, such as uploads, redirects, outbound requests, email delivery, OAuth, webhooks, CSV import or export, and real-time connections.

ACCEPTANCE SCENARIOS
Automate these app-specific scenarios at the most suitable level:
1. Given a teammate anywhere in the app, when they invoke quick create and submit a title, a uniquely identified backlog issue is created and focused.
2. Given two users editing an issue from the same version, when both save, the stale save shows a conflict instead of overwriting the newer transition.
3. Given an active cycle ending with incomplete issues, when the owner closes it, completed work stays in the report and each incomplete issue moves only to the confirmed destination.

TESTING
Add focused unit tests for state transitions, authorization predicates, normalization, date or money calculations, and other risky domain rules. Add integration tests for persistence constraints and for each external adapter's success, timeout, retry, and rejection paths. Add at least one browser-level test for every end-to-end journey above, including one on a small-screen viewport. Tests must use isolated data and run with one documented command.

OPERATIONS AND FAILURE RECOVERY
Add structured server logs with request, job, or event correlation IDs, but no secrets or unnecessarily sensitive data. Make failures actionable both in the interface and in the logs. Background work must expose pending, succeeded, failed, and retrying states where relevant; never swallow errors silently. Include safe database migration and rollback guidance, seed data, backup and restore notes, external-data cleanup behavior, and a basic health or diagnostic path suited to the stack.

DELIVERABLES
Ship the working application, migrations, representative seed data, tests, .env.example, and a short README. The README must cover prerequisites, local setup, environment variables, migrations, seed and test commands, deployment, integration setup, backup and restore, security decisions, and known limitations. Seed data should cover the happy path plus at least one empty, failed, overdue, expired, archived, or permission-restricted state that matters for the product.

DEFINITION OF DONE
The app is done when a new developer can follow the README, create and migrate the database, run the app, sign in as each relevant role, complete every named journey with real persisted data, refresh without losing state, recover from common failures, and use the core interface on phone and desktop. All acceptance scenarios pass, permission boundaries are covered by tests, no core screen is left as a placeholder, and the “Created by aurelioagency.com” footer credit is visible on every page.

NON-GOALS
Don't build roadmaps, cross-team initiatives, custom workflows, or deep Git synchronization.

The app you build with this prompt carries a “Created by aurelioagency.com” footer.

Build just one piece

Short prompts that solve the hardest part without building everything.

ABC-123 forever: identifiers that never come backAtomic counters, permanent retirement, and links that outlive titles.
Build durable issue identifiers for a tracker: TEAM-123 style, unique forever, never recycled.

Each team has a short key and a counter. Creating an issue atomically increments the counter and stamps the issue. Two simultaneous creates must not mint the same number, so increment with a database-level atomic operation or a row lock, never read-then-write. The counter only goes up: deleting or archiving TEAM-87 retires that number permanently. Gaps are fine; reuse is the sin, because links, commit messages, and human memory all reference the identifier.

Resolution is by identifier alone: the title can change daily and every old link still lands. Renaming a team's key is the spicy edge case: either forbid it, or keep old-key aliases that redirect, because TEAM-42 is written in a hundred commit messages you don't control.

Add copy-link and copy-id actions on every issue, and identifier parsing that tolerates case and surrounding punctuation when pasted into search.

Done when: concurrent creation under load never duplicates a number, a deleted issue's identifier is never reissued, and links survive title changes and key renames.
A command menu that’s faster than the mouseSubsequence fuzzy matching, context-aware actions, and no mouse required.
Build a keyboard-first command menu for an issue tracker: the interface for people who resent the mouse.

One shortcut opens it from anywhere. Typing filters a mixed list of commands and issues using subsequence fuzzy matching (crbg finds Create bug report): score matches by runs of consecutive characters, word-boundary hits, and match position so the intuitive result ranks first, and highlight the matched characters in each result.

Make it context-aware: with an issue focused, its actions (assign, change status, move to cycle) rank above global commands. Support command chaining: pick Change status and get a second-stage list of statuses in the same input. Recent selections get a mild ranking boost.

The fiddly parts: full arrow-key and enter navigation, focus trapped while open and restored precisely on close, results virtualized past a hundred rows, and search across a few thousand issues answering in under 50 milliseconds. Precompute a lowercase index instead of running regexes on every keystroke.

Done when: every menu action is reachable without the mouse, fuzzy scoring puts the obvious answer first for your test queries, and open-type-enter feels instant at a few thousand issues.
Close the cycle without losing the leftoversEvery leftover issue gets an explicit destination, and reports freeze at close.
Build cycle close and rollover for a weekly-cycle issue tracker. The leftover issues are the whole problem.

One active cycle per team, with dates in the team's timezone. Closing it is a deliberate ceremony, not a midnight cron surprise: show a rollover preview listing every incomplete issue and require an explicit destination for each (the next cycle or the backlog), with grouping controls so fifty issues don't mean fifty clicks. No issue moves anywhere silently.

Completed work stays credited to the closed cycle: the report freezes at close, and rolled-over issues show up in the next cycle without erasing where they've been. An issue's journey through three cycles is visible on the issue itself. Record scope movements as events (added to cycle, removed, rolled over) so reports can tell planned work from drive-by additions.

Auto-create the next cycle from the cadence if it doesn't exist, and handle the happy case: closing a cycle with everything done skips the ceremony.

Done when: no incomplete issue moves without a confirmed destination, closed-cycle reports never change afterward, and an issue rolled over twice shows its full cycle lineage.
The burn-down built from events, not snapshotsReplay the transition log to get charts that don’t lie.
Build cycle analytics computed from transition events, not from current state.

Current state can't answer the questions that matter: was this cycle's scope stable, and when did the work actually finish? So treat every relevant change as an event (status transitions, cycle assignment and removal, each with a timestamp and an actor) and build the report by replaying them.

Derive: completed versus remaining per day of the cycle (a burn-down that reflects reality, including mid-cycle scope jumps), scope added and removed after the cycle started with the responsible issues listed, and throughput across recent cycles. The tricky bookkeeping: an issue added, removed, then re-added counts once, with all its scope events shown; an issue completed then reopened within the cycle moves the daily counts in both directions on the correct days.

Compute on demand with a small cache keyed by the latest event id; invalidation is trivial because events only append. Every chart links back to its contributing issues, because a number you can't interrogate is a rumor.

Done when: the burn-down accurately reconstructs any past day from events alone, scope-change lists name every added and removed issue, and reopening an issue moves the daily counts correctly.

Frequently asked questions

How much does Linear cost if I keep subscribing?

Linear costs $10–$16 per person per month on its public paid plans, which is $120–$192 per year for each person on your team. A focused replacement you build yourself costs your build time plus hosting that is close to free.

What stack should I use to build a Linear alternative?

The build prompt on this page comes in four flavors: the AHA stack (Astro, HTMX, Alpine.js), Next.js, Laravel, and Ruby on Rails. The capability context for this product is Astro, HTMX, D1. Pick the stack you already know: the scope matters more than the framework.

What features does a minimal Linear replacement need?

A useful v1 needs: fast issue creation with title, description, priority, label, and assignee; backlog, active cycle, and completed views; keyboard-first navigation and a command menu; issue comments, status history, and related links; cycle progress and a simple throughput chart. Everything else is scope creep until you personally miss it.

What should I deliberately not build?

Don't build roadmaps, cross-team initiatives, custom workflows, or deep Git synchronization.

Does this build also replace Jira and Shortcut?

Yes. Linear, Jira and Shortcut all do the same core job: capturing, prioritizing, and finishing issues with as little ceremony as possible. The scoped v1 on this page covers what most people use any of them for, so one focused build replaces whichever one you're paying for.

How is it different from Linear?

Plane does most of what Linear does, with no subscription, and your data stays with you. The point-by-point comparison is on the page.

Do I own my data?

Yes. With an open source tool installed on your side, your files stay on your machine or your server. Nobody can close your account or change the price.

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No time to do it?

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If you'd rather have someone install it, connect it to your tools and keep it running, that is exactly what we do at Aurelio.

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