
UnBullet
UnBullet · AI Assistant
UnBullet is an AI job matching platform that swaps keyword-stuffed resumes for a written career story. Candidates publish a narrative of at least 200 words, and the AI scores them from 0 to 100 against every role on the platform, explaining in plain English why each match fits. Hiring teams post a job and get the same pool ranked instantly, then read the stories behind the top scores instead of scanning hundreds of CVs. That's candidate matching built on full text, not keywords. It runs in the browser. It's free for anyone looking for work.

About UnBullet
What Is UnBullet
UnBullet is a Swiss-built hiring platform that treats your career narrative as the unit of matching, not your resume. Instead of tailoring a CV for each posting, you write your experience, projects, and goals once in your own voice. The platform's AI reads the full text and ranks you against open roles.
The problem it targets is straightforward. Traditional applicant tracking systems filter on keywords, so the average corporate posting attracts 250+ applications and roughly 75% of CVs are rejected before a human reads them. UnBullet replaces that keyword filter with semantic matching. A career pivot or a non-linear path no longer gets you screened out the moment an automated scan runs. It works as a full AI recruitment platform for both sides of the table, handling the screening that recruiters used to do by hand across dozens of applications, not just listing roles like a job board.
Here's the catch. Match scores, explanations, and AI answers are generated automatically, and the platform's own terms state they may not be perfectly accurate and should be treated as a starting point rather than a verdict. Employers still make the final call. Candidates stay anonymous until they decide to reveal themselves.
Getting Started
- Create an account with an email address or a third-party login. No credit card is required. You need to be at least 16 years old.
- Write a career story of at least 200 words covering your experience, projects, and goals. This is the profile, so it should read like you and not like a template.
- Publish it with one click. Your name, company history, and contact details stay redacted by default until you opt to reveal them. For many people, that turns into a low-pressure anonymous job search.
- Let the AI match you. Every new role posted by a hiring team gets scored against your story automatically. No manual applications to file.
- Review your matches and their explanations, then reveal your identity or message an employer when you want to move forward.
Product Information
A quick look at UnBullet's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Career changers
- Passive candidates
- Small hiring teams
Tasks
- Writing a reusable career story
- Ranking a candidate pool
- Asking screening questions
- Switching tools
Scenarios
- Applying to many similar roles at once without rewriting a resume each time.
- Handling recruiter inbox overload by staying anonymous until a match looks worth pursuing.
- Filling a role fast when the hiring manager needs a shortlist the same day.
Key features
Career narrative matching
Your profile is a written story rather than a list of bullet points. The AI reads the whole narrative and ranks you against roles on substance. A career pivot or an unusual background scores on what you actually did, not on whether your CV happened to contain the right keyword. Think of it as an AI recruiting tool that reads for meaning.
0-100 match scores with reasoning
Every match arrives with a confidence score and a plain-English explanation of why the AI placed you where it did. Hiring teams see the same thing from the other side. Each candidate in the pool is scored against the posted job. The strongest profiles rise on their own. No guessing.
Anonymous by default
Your name, company history, and contact details are redacted before any employer sees your profile. You decide when to reveal your full identity, and you can go live or pause your visibility with one click. Employers can't trace your current company back to you.
Passive, always-on pipeline
Publish once and the platform keeps scoring you against new roles as they appear, with no applications to file. Hiring teams get a passive talent pool they can query any time by posting a new job, without sourcing from scratch.
AI Q&A per candidate
Recruiters can ask the AI about a candidate's experience, working style, or career motivation and get answers grounded in that person's story. The point? Replace the first phone screen with a few minutes of reading.
Plan-based visibility and capacity
Free accounts handle 1 job posting, Standard lifts that to 5 with the top 10 candidates visible, and Premium covers 15 postings with the full pool visible. Enterprise adds unlimited postings and dedicated support. Candidates stay free on every tier. That never changes.
Pros and cons
Pros
- Candidates pay nothing and can search anonymously, which removes the usual pressure to broadcast a resume widely.
- Semantic matching rewards how you describe your work rather than whether you guessed the right keywords.
- Hiring teams get a pre-ranked shortlist with written reasoning, which cuts manual CV screening from hours to minutes.
- Publishing once and getting matched automatically suits people who don't want to file applications one by one. Simple as that.
Cons
- Matching quality depends on how well you write your story. A vague 200-word profile produces weaker matches than a detailed one. The platform puts that effort on you.
- The candidate-side scoring runs on an always-on library of roles, so early on the pool of open jobs may be thinner than on a large established job board.
- AI scores and explanations can be wrong, and the platform's terms say so directly. You still need to judge the fit yourself before acting on a match.
- The pricing sits in euros and targets hiring teams, so employers outside that currency will need to account for conversion.
Frequently asked questions
UnBullet matches candidates to jobs using an AI-read career narrative instead of a keyword-scanned resume. Job seekers publish a story and get scored matches, while hiring teams post a role and receive a ranked pool of candidates with explanations for each score.
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