# Offr — public landing-page content Canonical URL: https://heyoffr.com/ Status: **In development · not yet live** Offr is a global, pre-launch AI job-application agent. The user chooses and opens external application tabs. Offr is planned to prepare each application sequentially from a saved profile, surface uncertainty, and stop for review before submission. ## Promise **Your AI job-application agent** # Apply to 10× more jobs in the same time. Save your profile once. Every form after that fills itself — you just review and submit. ## The problem # Every application asks for the same facts again. Roughly 23 minutes each. About four hours for ten roles. Every time, from scratch. Same facts. Eight different ways of asking. > “I watched friends do everything right and still lose months to retyping the same form. That shouldn’t be the hard part.” ## How Offr solves this Offr is an AI agent that applies to jobs for you. You open the roles you want. Offr fills every form from your saved profile, writes answers in your voice, tailors your resume for each role, and stops for your approval before submitting. ## How Offr prepares an application in five steps You choose the roles. Offr prepares each application. Nothing submits without you. 1. **Save your profile once.** Add verified facts, a base resume, and writing samples. Once. 2. **Choose the jobs you want.** Open the external application tabs you actually want. 3. **Start Offr. Click Apply All.** Open the extension and start one visible, sequential queue. 4. **Agent prepares each one.** Offr fills the form and tailors one factual resume for each role. 5. **You approve and submit.** Review uncertain answers and confirm each submission. The demonstration is a synthetic preview of a planned workflow and is not yet live. ## What we Offr Fast enough for volume. Careful enough to trust. **≈23 min by hand → <60 sec with Offr** Your active time per application, with Offr. The 23-minute figure is a directional industry benchmark, not measured Offr telemetry. [Read the cited benchmark](https://www.linkedin.com/pulse/job-application-process-facts-figures-albert-robescu-ewq7e/). ### 10× the volume Queue the roles you choose; Offr prepares each in sequence. ### Consistent everywhere Your education, experience, and skills stay identical across every form. ### Sounds like you Offr drafts from your own writing, not generic AI filler. ### Tailored per role A factual, role-specific resume for each application. ### Offr asks instead of guessing Uncertain fields are flagged for you. Nothing submits without your approval. ### Works on portals it has never seen Known layouts get direct mappings. Anything unfamiliar, Offr reads by context. Offr is being built for external employer and ATS application pages worldwide, with additional support for India-heavy requirements and systems such as Darwinbox and PeopleStrong. Coverage testing is still in progress. LinkedIn Easy Apply and Naukri native application flows are outside Offr’s automation boundary. ## Dashboard # Every application Offr sends, tracked in one place. See what’s queued, ready for review, submitted, or waiting on you. The dashboard and extension shown on the landing page are synthetic previews of planned software and are not yet live. ## Waitlist # Be first in line. Choose the jobs. Offr prepares each application and waits for your review. Join the waitlist to get early access and founding-member pricing when Offr launches. Discount coupons are planned for early waitlist members; the amount, duration, and eligibility will be disclosed before launch. Waitlist details are used for launch updates and early-access communication. ## FAQ ### What exactly does Offr do? Offr is a pre-launch job-application agent. The planned product uses verified information from your saved profile to fill external forms, draft role-specific answers in your writing style, prepare an ATS-aware resume, and wait for your approval before submission. ### Does Offr submit applications without me? No. The planned workflow is attended and sequential. Offr prepares one application at a time, surfaces anything uncertain, and stops for your review before submission. ### Will it work on every job portal? Offr is being built for external employer and ATS application pages worldwide, with additional support for India-heavy requirements and systems such as Darwinbox and PeopleStrong. Known layouts use direct mappings, while unfamiliar portals are read by context. Coverage testing is still in progress. ### What about LinkedIn Easy Apply and Naukri? Those platforms can help users discover roles, but their native application flows are outside Offr’s automation boundary. Offr is focused on external employer and ATS application pages. ### What do early waitlist members receive? Early access, product updates, and a genuine founding-member discount. The amount, duration, and eligibility will be disclosed before launch—never hidden behind fake urgency. ### What information does Offr store? Only what a user saves to their profile — verified facts, a base resume, and writing samples. The user controls what goes in and can remove it at any time. ## Legal and evidence notes - Product imagery is synthetic software-in-development preview material. - Applicant tracking systems named are trademarks of their respective owners; Offr is not affiliated with or endorsed by them. - The 10× headline is a founder-approved marketing promise, not measured launch telemetry. - The 23-minute figure is a directional external benchmark. - No universal ATS coverage is claimed. © 2026 Offr. All rights reserved.