Infersync vs Linear: keep the tracker, add the decision layer
This isn't a leave-Linear page. Linear is the best modern issue tracker, it stores and tracks the work. Infersync is the AI autopilot that sits on top of your GitHub and decides who should do each task, a human or an AI agent, routes it to them, and tracks whether it actually got done and what it cost. Infersync is additive to GitHub, not a rip-and-replace of Linear. You keep Linear for tracking; Infersync adds the human-or-agent routing and outcome layer a board doesn't ship.
Where Linear is the right call
These are use cases where Linear is genuinely the better fit. We'll tell you straight.
- Pure issue tracking and triage as the daily team interface for engineers.
- Keyboard-driven UX for issue creation, transitions, and triage at scale.
- Cycles, projects, and roadmaps as visual planning surfaces.
- Public-roadmap style features and customer-facing changelog publishing.
- If status visibility plus fast issue tracking is genuinely all your team needs.
Where Infersync wins
The specific use cases that pulled us out of bed to build Infersync in the first place.
- The decision layer Linear doesn't ship: give Infersync a goal and it decides who should do each task, a human or an AI agent, and routes it, on top of your GitHub.
- Outcome tracking: Infersync follows each task through to CI and merge status, so you see whether the work got done, not just which column it's in.
- Real cost per task (hours times rate from native time tracking), with over-budget candidates auto-excluded from the routing decision.
- Human-or-agent routing today by connecting your own agents over MCP / API; first-party Coding / QA / Design / Docs agents land Q3 2026.
- Leave-aware routing (the ranker respects who is genuinely available before it assigns).
- GitHub-native and additive: two-way sync on issues, PRs, labels, assignees, state, and comments means you add Infersync without leaving Linear.
Infersync vs Linear, feature by feature
Pulled from the public docs and pricing pages of both products as of 2026-05-26. If anything's wrong, email hello@infersync.com and we'll correct it the same day.
| Feature | Infersync | Linear |
|---|---|---|
| What each tool is for | ||
| Stores and tracks the work (issues, cycles, roadmaps)Linear's core job. Infersync leans on your tracker and GitHub instead of replacing them. | Syncs from GitHub; light structure | |
| Decides who should do each task (human or AI agent)The layer Infersync adds; Linear assigns manually. | ||
| Routes the task to the chosen human or agent | ||
| Tracks whether the work actually got done (CI / merge status) | Status + cycles, no outcome verification | |
| Keyboard-first triage UXLinear's signature strength. Infersync is command-bar-led for natural language. | ||
| Cycles and roadmaps as a planning surface | ||
| Two-way sync with existing GitHub repos (no mirror) | GitHub integration is one-way import / sync, not bidirectional edit | |
| Cost + availability of the decision | ||
| Time tracking (clock in/out, breaks, work-item timer) | ||
| Real cost per task from time tracking (hours × rate) | ||
| Routing decision weighted by real cost + availabilityOver-budget candidates are auto-excluded by the routing ranker. | ||
| Leave management with availability gating | ||
| Leave-aware routing (ranker respects real availability) | ||
| AI + agents | ||
| AI command bar (preview then execute) | Linear has AI features but no preview-then-execute action surface | |
| Bulk natural-language work-item operations (assign, label, due dates, state) | ||
| Routing decision ranked by skill + cost + availability | ||
| Route work to AI agents (your own over MCP / API today; first-party Q3 2026)Linear assigns to people; Infersync routes to a human or an agent. | ||
| Due-date reminders on three channels (in-app, Slack, email) | Linear has reminders but on fewer channels | |
| Bring-your-own LLM keys (no token markup) | ||
| Pricing | ||
| Entry point | $500 30-day pilot (up to 25 engineers) | Free up to 250 issues; paid from $8 |
| Main plan with routing + cost-aware decisions | $799/mo flat (up to 25 engineers) | $14 (Business), different feature mix |
| Route work to AI agents | Included (your agents today; first-party Q3 2026) | Not offered |
| Trial without card | 14-day Team trial; $500 30-day pilot | Generous free tier |
| Annual billing discount | Two months free (~16.7% off) | ~20% off |
| Security and compliance | ||
| GDPR data export endpoint in dashboard | ||
| Right-to-erasure (anonymisation-based) | ||
| 30-day workspace hard-delete on cancellation | ||
| SOC 2 Type IILinear is SOC 2 certified. Infersync is not yet (process not started). | ||
| SSO + SCIM | Q1 2027 on Enterprise | |
| No model training on customer data | ||
Bottom line
Linear stores and tracks the work, and if fast issue tracking is what your team loves, keep it. Infersync is additive: it sits on top of your GitHub, alongside Linear, and adds the decision layer, who should do each task (a human or an AI agent), routing it, and tracking whether it actually got done and what it cost. You don't have to leave Linear. Start a 30-day pilot on your real work and see whether the routing and outcome layer earns its place next to your tracker.
FAQs about choosing between Infersync and Linear
Do I have to leave Linear to use Infersync?
No. Infersync works on top of your GitHub, alongside Linear. Keep Linear for daily issue tracking and layer Infersync on the same repos for the decision it doesn't make: who should do each task, a human or an AI agent, routed by real cost and availability, with the outcome tracked through CI. The two-way GitHub sync means issues created in either surface land in the same repo.
How is Infersync different from Linear?
Infersync isn't an issue tracker and doesn't try to replace Linear's keyboard-first triage, cycles, or roadmaps. It's a different layer: Linear stores the work, Infersync decides who does it and confirms it got done, on top of GitHub. Keep the tool engineers like and add the routing layer on top.
Why is Linear's free tier larger than Infersync's paid plan?
They price different jobs. Linear is a mature tracker with a large free tier; Infersync is a founder-bootstrapped decision layer, so it runs a 14-day full-feature trial or a $500 30-day pilot, then $799 a month flat for up to 25 engineers, no per-seat pricing. You're not choosing one over the other on price; you're adding Infersync on top of the tracker you already run.
Does Infersync work for teams that don't use GitHub?
Right now, Infersync is GitHub-native, that's how it reads the work and tracks outcomes. GitLab and Bitbucket are on the roadmap. If you're on either, book a demo and we'll talk about timing.
How does Infersync's AI compare to Linear's AI features?
Linear's AI helps with issue creation, summarisation, and smart filters, all inside the tracker. Infersync's autopilot decides and acts: it ranks who should do each task by skill, cost, and availability, routes it to a human or an agent, and can bulk-assign, label, and set due dates in natural language, every action previewed before it runs. Bring-your-own LLM key means zero token markup.
Can AI agents actually do the work Infersync routes to them?
Today you connect your own agents over MCP / API and Infersync routes tasks to them or to a human. Infersync then tracks the outcome through CI and merge status rather than claiming autonomous verification. First-party Coding / QA / Design / Docs agents arrive Q3 2026; the routing and outcome tracking work now with the agents you already run.