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.
When any user gets a response, your agent learns from it. It learns which subject lines get opened, which companies respond quickly, which approaches work for different roles. This intelligence compounds across all users. Your agent benefits from thousands of data points you could never gather alone.
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, waking you up only when a company responds. 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.
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.
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. You get notified of results.
Cross-user intelligence. Every outcome improves the model for everyone. What works at which companies. When to DM vs email. Data no individual has.
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.
Voice calibration. Agent learns your writing style from your edits. Sounds like you, not AI.
Timing advantage. Catches new roles and signals within minutes. Applies before the flood.
Outcome data. Cross-user intelligence from thousands of outcomes. What actually converts.
Channel protection. Global per-company send caps prevent signal collapse. Quality stays high.
Referral flywheel. Users who get hired refer others. The network strengthens itself.
Built for job seekers who refuse to spray and pray. Lynder targets the right companies, crafts tailored applications, and gets you in front of hiring managers faster.
1,200+
applications sent autonomously.
3.2x
more interviews than manual applicants.
I got 3 interviews in my first week without writing a single cover letter. The agent just handled everything.
The world's most advanced
job agent platform.
Join the waitlist. Your agent starts learning day one.
Precision over spray. $75/month when you are ready.
