Screenshots
What it looks like. Click any thumbnail to expand.
Overview
Dashboard
Pipeline
List
Details
Research
Analytics
Interview Prep
Prep
Homework
Cheatsheet
Intro
Projects
Questions
Numbers
Don'ts
An identity-driven workspace for the research-intensive job search. Build a structured library of your roles, accomplishments, and anchor stories. You supply the names on your panel — Facet does the deep per-person research, round by round. Open source; your data stays yours.
AI infers your search profile and scores fit per listing. You triage results.
Every opportunity with rounds, schedules, and per-interviewer capture.
Per-person intel, scenario cards, anchor stories, honest-bridge scripts.
Resume regenerated per opportunity from your identity model.
Cover letters drafted from pipeline context and resume data.
The foundation. Feed in what already exists — resume, LinkedIn, prior AI chats, brag docs — and the correction loop does the rest. AI drafts assumptions about your career; you correct them by explaining why you made each decision. In explaining, you surface the judgment your resume never captured. Every other workspace reads from this model.
Research runs in three tiers. Discovery infers your search profile and evaluates role fit per listing. Pipeline enriches entries you pursue with company context and JD analysis. Pre-prep does the deep per-person research on interviewers you name — because AI guessing who's interviewing tends to be wrong in ways that cost trust. You supply the names, Facet does the intel.
Rounds as first-class objects — schedule each round, capture interviewer names as you learn them, link each round to its prep deck. Company, role, compensation, JD storage, outcome history per round. A cross-job calendar view surfaces prep-readiness beside every scheduled interview (in design).
Round-specific prep decks with structured per-interviewer intel — role, background, what they care about, and a line tuned to each person's specific concern. Scenario cards with decision trees, anchor stories with sub-decisions, honest-bridge scripts for gap-framing. Homework mode for practice; live mode with keyboard shortcuts and timers for the conversation itself.
Resume regenerated per opportunity from your identity model. Per-bullet include/exclude, role-specific targeting, PDF render with live preview. Themes, density controls, and round-trippable JSON export.
Cover letters drafted from pipeline context — opportunity, company research, and your assembled resume data. Paragraph-level targeting, reusable templates, tuned per letter.
Rounds, schedules, outcomes, per-round prep — in the entry, not a row.
Prep decks persist. Generate once, refine across weeks, walk in prepared.
Resume regenerated per opportunity from your identity model.
Pipeline entries hold the thread — JD, comp, contacts, round schedule, prep state — in the entry.
You supply the names from the invite. Facet does the deep per-person work.
What it looks like. Click any thumbnail to expand.
7-day refund · no questions asked
AGPL-licensed and self-hostable end to end. Run Facet on your own infrastructure for full custody — the license requires it stay open source.
In hosted mode, your data lives in managed Postgres with row-level security — tenant-scoped so Facet staff can't read your identity model, your pipeline, or your prep decks. Export encrypted backups any time; delete your account and the data goes with it.
Aggregate intelligence features (planned) are opt-in, never default-on. Anonymization threshold k ≥ 50 — no aggregate bucket reports fewer than 50 users. You can use Facet at full depth and share nothing.