Your desktop job application agent

Apply with an agentyou can actually teach.

Dinsr sees the application, explains its next move,waits for approval, and learns every correction on your desktop.

Download for Mac Download for Windows Watch the agent learn
Mac and Windows Every action visible Final submit stays yours
Dinsr — Founding Engineer - Machine Learning
jobs.ashbyhq.com/clera/90d61dff-38b6-4a3d-891d-e8c8029df845...

Founding Engineer - Machine Learning

Overview Application

Location

Mountain View

Employment

Full time

About the role

This is a founding-team ML engineering role at an early-stage AI data and services company, where you will build and scale core machine learning systems from the ground up.

JOB SOURCES

LinkedIn + 3 ATS

APPLICATION FLOW

6 guided stages

DATA LOCATION

Saved to your account

FINAL SUBMISSION

Always yours

Auto Apply

From job discovery to a review-ready application.

Dinsr finds relevant roles, prepares the right documents, completes approved fields, and pauses whenever your judgment is required.

Application queue

Software Engineer · Remote

32 eligible

Review before every final submission

STATUSFocus
ORDERRelevance
FILTERSRemote · 24h

NEWRELIC

9.0

Software Engineer — Auth0/AuthZ

Tailored · Remote · 1d ago

GITHUB, INC.

8.0

Senior Software Engineer, Client Apps

Ready · US Remote · 3d ago

Visible cursor active 0 / 32 COMPLETE

End-to-end workflow

One queue. Six clear stages.

  1. 01

    Discover recent jobs

    Search by role and location across LinkedIn, Ashby, Greenhouse, and Lever, then keep only supported listings.

  2. 02

    Score and organize

    Rank roles by fit, group them into Top, Strong, and Possible matches, and filter by age, workplace, or résumé readiness.

  3. 03

    Tailor application documents

    Generate a job-specific résumé and cover letter, show ATS coverage, and keep every change available for review.

  4. 04

    Scan the live application

    Read visible labels, required fields, controls, and page state inside Dinsr’s persistent browser.

  5. 05

    Fill approved answers

    Reuse your profile and answer memory, attach verified files, and pause on unknown questions, MFA, or CAPTCHA.

  6. 06

    Review, continue, or teach

    Inspect the action trace, approve the next step or correct it, and make the final submission yourself.

Persistent browser

Stay signed in on this Mac and continue without switching to Chrome.

Queue controls

Start, stop, retry, skip, or open any job directly from the queue.

Needs You pauses

Verification, missing answers, and unsupported pages return control immediately.

Visible action trace

See the state, proposed action, rationale, guard decision, and feedback reward.

Before and after

What should happen on this page?

The old workflow

  • Switch between application and notes
  • Repeat the same approved details
  • Guess which resume belongs here
  • Finish without an action record

The Dinsr path

  1. 01Scan the visible page
  2. 02Propose one action
  3. 03Approve or teach
  4. 04Continue with a visible record

How it learns on LinkedIn

Visible agency, one reviewed action at a time.

On Mac, the Q4 model does not update its weights live. Your feedback creates local records for later adapter training—never a hidden behavior change mid-application.

01

See

Capture the current screenshot and page context.

02

Think

State a concise rationale and target coordinate.

03

Act safely

Code verifies that the coordinate maps to an approved continuation control.

04

Learn

Store a +1 approval or demonstrated correction as private training data.

Apply to Templeton & Partners

2/6 pages

Resume*

PDF

DineshBali-SoftwareDeveloper.pdf

940,693

Review before you act

Your workspace stays yours.

Dinsr uses a persistent private browser on your Mac and limits automation to explicit, inspectable rules.

Persistent private browser

Application context remains in the dedicated Dinsr workspace.

Approved answers only

Automatic filling is limited to stored profile answers you have already approved.

Code-gated continuation and submit

Coordinates must map to allowed controls. Final submission always waits for your review.

Owner-only learning exports

On Mac, screenshot/action/reward records export locally for later adapter training.

FAQ

Honest answers.

Does Dinsr work with LinkedIn Easy Apply?

Yes. The guided workflow is designed around visible LinkedIn Easy Apply pages in its persistent browser.

Where is application data stored?

Your profile, résumé, application queue, and reviewed answers are stored in your Dinsr account. Browser sessions stay on your device. Cloud AI processes the context needed for tailoring and answer generation.

What is included in the Windows app?

The Windows app uses the same three-column workspace layout as Mac: application queue, employer browser, and application copilot. It includes account sign-in, profile and résumé setup, role-based employer job search, compact search controls, a company atlas, local résumé-to-job skill matching, Sol résumé tailoring, Luna answer drafting, selectable dropdown answers, and reviewed form filling. You can review a queue of applications one at a time. Gmail opens in the browser; Mac-specific visual automation and integrated inbox tracking are still being ported. Windows 10/11 and internet access are required.

Can it submit applications without me?

No. Final submission is code-gated and always remains a user-reviewed action.

Dinsr for macOS and Windows

Teach it once. Watch it get sharper.

Download for Mac

Mac 1.0.2 development release · Apple Silicon · Not notarized.

Mac SHA-256 checksum Download for Windows

Windows 10 (22H2) / 11 · 64-bit · Internet required

Windows 1.2.4 development release. The installer is not code-signed, so Windows may show an unrecognized publisher notice.

Windows SHA-256 checksum