Features
Everything Stet does, and nothing it pretends to
Six parts that share one record of your career, and your data.
Each section ends with a proof: a working piece of Stet on fictional data.
01Openings
Openings and journeys
Save an opening with a company and a title, then add the rest when you know it. Mark it once, always open, or repeating. Log each step of an application and see whose move it is.
Proof 01 · fictional data
- Waiting on you
- Waiting on them
- Ended
Journey
Data engineer, platform
- Sent: reached
- Reply: reached
- Screen or test: reached
- Interview: current stage
- Offer: not reached yet
Interview · 2 NovAsk about the next step · 8 days quiet
02Freelance
Freelance work
A proposal is an application with a bid, so it gets the same journey and the same honest counting. A proposal you win becomes a contract with its milestones and payments. Stet records what you earned; it does not invoice, move money or do taxes.
Proof 02 · fictional data
Route data pipeline
Fennec Logistics
- USD 800
Ingestion and schema
Paid 20 Oct
- USD 800
Incremental models
Approved 26 Oct · not paid yet
- USD 800
Dashboards and hand-off
In progress · due 15 Nov
Earned this month
USD550
| Jun | USD 600 |
|---|---|
| Jul | USD 950 |
| Aug | USD 400 |
| Sep | USD 1,400 |
| Oct | USD 1,700 |
| Nov | USD 550 |
03Research
Research and publishing
Each manuscript keeps its venues, its submissions and every decision. Stet tells you when a revision is due or an editor has gone quiet, and writes the citation in the form the paper has reached. It also checks that your byline is spelled one way everywhere.
Proof 03 · fictional data
Incremental Models for Late-Arriving Records in Nightly Pipelines
Journal of Applied Pipelines · Submitted 22 Sep
- Submitted: reached
- With editor: reached
- Under review: current stage
- Decision: not reached yet
- Accepted: not reached yet
- Published: not reached yet
Citation
Haddad, N., & Okafor, S. (2026). Incremental models for late-arriving records in nightly pipelines. Under review at Journal of Applied Pipelines.
04Network
People and organizations
Organizations, the people in them, and how well you know each one. When an opening comes up, Stet shows who you already know there. You add people yourself; Stet does not read your inbox or your contacts.
Proof 04 · fictional data
Analytics engineer
Kestrel Labs
You know 2 people there
Rowan Ellis
Staff data engineer · Works there
Last spoke 12 OctDalia Mensah
Engineering manager · Sent you this opening
Last spoke 3 Jun
05Resume
Resume from evidence
Write each sentence once, with its proof, wordings and story. Assemble versions per track and output LaTeX, plain text or PDF.
Proof 05 · fictional data
E5Experience
Other wordings
Cut nightly pipeline cost by 31% by moving 14 batch joins to incremental models.
LaTeX
\item Spearheaded the migration of nightly batch jobs to incremental models. % E506Patterns
Patterns with honest uncertainty
Reply rates with 95% intervals, compared by version, outreach, track and level. Verdicts appear only when the difference is large enough.
Proof 06 · fictional data
By resume version
Which version earns replies
DE v1.2: 11 of 21 heard back, 52%; likely between 32% and 72%; everything else 20%; verdict: Keep.
DE v1.1: 3 of 19 heard back, 16%; likely between 6% and 38%; everything else 48%; verdict: Cut.
BE v1.0: 2 of 6 heard back, 33%; likely between 10% and 70%; everything else 35%; verdict: Too early to tell.
An application counts once it has ended, a person has replied, or it is 14 days old.
07Settings
Your data
Private to your account, exported in one file, deleted in one flow.
Proof 07 · fictional data
The export file
stet-workspace-2026-11-10.json
- Openings
- 42
- Applications
- 28
- Sentences
- 34
- Versions
- 6
- Manuscripts
- 3
- Contracts
- 3
- People
- 18
134 records
Export
Download everything as one JSON file you can import back.
Import
Add records from a Stet file, or replace your workspace with it.
Delete account
Removes your account and every record. This can't be undone.
A file you keep yourself
What Stet will not do
- Apply to jobs for you or scrape job boards.
- Write sentences or letters with AI.
- Share your data or show it to recruiters.
- Track you across the web or sell anything to anyone.
- Send streaks, badges or guilt.
Let the good lines stand.
Start with an empty workspace, the demo, or a file you already have.