Your agent is running

Your career,
on autopilot.

A 24/7 AI agent that gets you hired at startups.

lynder
Watching
Linear
Stripe
Figma
Vercel
Notion
Scanned
Found
Drafted

Found a strong match at Linear.

They merged PRs around real-time sync — your CRDT experience is a direct fit.

Strong match
linear/lineara3f8b2c
- private doc: Document;
- private lock: SimpleLock;
+ private crdt: CRDT<Document>;
- async update(doc: Document): Promise<void> {
+ async merge(remote: Document): Promise<Document> {
Real-time SyncCRDTsMultiplayer
Senior Software Engineercareers@linear.app

Hi Linear team, I noticed you just mass-merged a batch of PRs around real-time sync — looks like you're scaling the multiplayer engine. I spent two years doing exactly this: CRDTs, conflict resolution, the OT rabbit hole. Happy to dive into specifics.

Deep research, not spray. Your agent monitors repos, job posts, and hiring signals across thousands of startups. Catches opportunities within minutes.

Your agent continuously scans GitHub repositories, LinkedIn job posts, company blogs, and hiring announcements across thousands of startups. It reads commit messages to understand what teams are actually building. When a company merges code related to your skills, your agent knows within minutes.

Every time you edit a draft, your agent learns how you write. It picks up on your tone, your sentence structure, the phrases you use. After a few edits, the emails it writes sound like you wrote them. Recruiters receive messages that feel personal because they are personal to your voice.

Your agent reads the actual code a company ships to understand what they need. It matches your experience to their technical challenges. When it finds a fit, it crafts an application that references specific projects, specific commits, specific problems you can solve. Each application is unique.

Every resume and cover letter is rebuilt from your real materials for the specific role. Each claim traces back to work you actually did — the agent never invents experience. You review the final artifact before anything goes out.

At first, your agent asks you to approve every application. As you make fewer corrections, it earns more autonomy. Eventually it can apply to opportunities while you sleep, queueing anything that needs your judgment for the morning. You set the boundaries. The agent operates within them.

Always-on research. Your agent scans thousands of companies while you sleep. Catches opportunities the moment they appear.

Manual searchWith Lynder

opportunities surfaced · per week · illustrative

Your agent monitors GitHub commits, job boards, and company signals continuously. When something matches your profile, it acts immediately.

Autonomy you control. First 10 applications: you approve everything. Agent earns trust as you correct less. Eventually applies while you sleep.

application 01 — 10 · you approve
corrections drop · trust grows
autonomous · logged overnight
  • Approve first 10

    You review and approve every application until the agent earns your trust.

  • Learns from edits

    Every correction sharpens the model. Voice calibration happens passively.

  • Goes autonomous

    Eventually applies while you sleep. Every action is logged for your morning review.

Precision over volume. Everything you need to land interviews at startups, at a fraction of the effort.

Free tier forever.

Monitor 3 target companies and send 2 applications per month, free.

Join the waitlist. Your agent starts learning day one.
Precision over spray. $39.99/month when you are ready.