Infersync vs Linear: pick the right layer for your team
Linear is the best modern issue tracker. Infersync is the operational layer above it: who's working on what, what each feature actually costs, how capacity holds against leave, and an AI COO that can act across your existing GitHub. The two products solve different problems; this page tells you which one you need (or whether you need both).
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 you already run Linear and you're happy with status visibility plus issue tracking is enough.
Where Infersync wins
The specific use cases that pulled us out of bed to build Infersync in the first place.
- Cost-per-feature analytics computed from commits and PRs, with assignment budget gates that auto-exclude over-budget candidates.
- AI COO command bar that previews every action before applying it (assign, label, due dates, status, priority), with bulk operations on up to 100 items per call.
- Capacity planning that knows about leave: leave system writes back to the capacity board automatically.
- Bring-your-own LLM keys (Anthropic, OpenAI, Google) with zero token markup from us.
- Time tracking with clock in/out, work-item timers, breaks, daily reminders.
- GitHub-native with two-way sync on issues, PRs, labels, assignees, state, comments — no mirror or fork.
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 |
|---|---|---|
| Issue and task tracking | ||
| Issue tracking | ||
| Kanban + list + calendar views | ||
| Keyboard-first UXLinear's signature strength. Infersync is mouse-led with command-bar 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 | |
| Engineering cost + time | ||
| Time tracking (clock in/out, breaks, work-item timer) | ||
| Leave management with availability gating | ||
| Cost-per-feature analytics from real commits / PRs | ||
| Burn analytics with per-sprint forecasting | ||
| Budget gates on AI task assignmentOver-budget candidates are auto-excluded by the assignment ranker. | ||
| Capacity planning that knows about leave | ||
| AI | ||
| 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) | ||
| AI assignment ranking by skill + cost + availability | ||
| 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) | ||
| Coding / QA / Design / Docs agents (Q3 2026) | Q3 2026 | |
| Pricing (per seat per month, monthly billing) | ||
| Entry tier | £7 (Base) | Free up to 250 issues; paid from $8 |
| Mid tier with full analytics + AI execute | £15 (Operations) | $14 (Business) — different feature mix |
| AI agents tier | £25 (Agents, Q3 2026) | Not offered |
| Free trial without card | 14 days | 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
If issue tracking is your only need, Linear is the right call. If you need an operational layer that tracks where engineering money is going, plans capacity around real leave, and lets an AI take action across your existing GitHub, Infersync is built for that. Many teams will end up running both for a quarter and then decide. The 14-day free trial gives you that quarter for free.
FAQs about choosing between Infersync and Linear
Can I use both Infersync and Linear?
Yes. A common setup: keep Linear for daily issue tracking, layer Infersync on top of the same GitHub repos for cost-per-feature, capacity-vs-leave, and the AI COO. The two-way GitHub sync means issues created in either surface land in the same repo.
Does Infersync replace Linear?
It can, but it doesn't have to. If your team values Linear's keyboard-first issue tracking, keep it. Infersync gives you the operational layer Linear doesn't — cost tracking, capacity planning, AI action execution — without forcing you off the tool engineers like.
Why is Linear's free tier larger than Infersync's?
Linear is a 10+ year old company with venture funding to support large free tiers. Infersync is founder-bootstrapped, so the 14-day full-feature trial is more sustainable than an indefinite free tier. After the trial, plans start at £7 per seat per month with no minimum seat count.
Does Infersync work for engineering teams that don't use GitHub?
Right now, Infersync is GitHub-native. GitLab and Bitbucket are both 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. Infersync's AI COO can take action across your whole stack: bulk-assign issues, label P1, set due dates, change state, all in natural language. Every action is previewed before execution so you see the AI's reasoning. Bring-your-own LLM key means zero token markup.
Is Infersync SOC 2 certified?
Not yet. The SOC 2 process has not started. Operations and Agents tiers ship GDPR data export, anonymisation-based erasure, and 30-day hard-delete in the dashboard today; the audit log spans time, billing, member changes, and AI actions. For procurement-grade compliance, the Enterprise tier ships SSO + SCIM in Q1 2027 and SOC 2 work begins alongside.