Your career, backed by evidence.
Career Intelligence turns your résumé, your GitHub, and the work only you know about into one timeline. Every role, project, and skill links back to where it came from, so you can see how you've grown and show it without overstating it.
- 2023 – presentStaff EngineerNorthwind LogisticsRésumé v3AI-extracted
- Mar – Nov 2022Payments APIPython, FastAPI, PostgreSQLRésumé v3GitHubCorroborated
- May 2021Talk: Idempotent webhooksPyCon regionalYour correctionwas “2020”
- 2019 – 2021ledger-sync212 commits over 94 weeksGitHub
Your evidence is scattered
The record of what you've actually done lives in places that don't talk to each other.
Résumés go stale
Each rewrite trims the past. Older projects and the dates around them quietly disappear.
Activity isn't skill
A green contribution graph shows that you were busy, not what you can do.
Your best work is private
Client projects and company code rarely leave a public trace, so they rarely get credit.
How it works
Setup takes a few minutes. After that, GitHub activity keeps itself up to date.
- 1
Upload your résumé
PDF, Word, or pasted text. Each upload is kept as a version, so nothing you've said before disappears.
- 2
Connect GitHub
Your own repositories and the ones you choose. Private repositories share metadata only unless you opt in, one by one.
- 3
Add what's missing
Client work, talks, courses, awards: anything that never made it onto a résumé or into a public repo. Mark any of it private.
- 4
Review and correct
Decide on likely duplicates, fix a date, hide what doesn't belong. Every change is recorded and can be undone.
What you get
One place to understand your professional history, and the receipts to go with it.
- A timeline in the order things happened
- Roles, projects, talks, and courses placed by when they happened, not when you imported them. Vague dates like “summer 2019” stay as vague as you wrote them.
- Skills with their evidence
- Each skill shows where you used it and when you last did, grouped by how well it's supported.
- Duplicates you decide on
- When two entries look like the same thing, say “Postgres” and “PostgreSQL” or a project named two ways, you're asked, with the reasons. Merges can be undone.
- A résumé history that never loses anything
- Upload a new version and the old one stays. Anything you dropped is kept as history, and you can restore any version.
Labels instead of scores
A language in a repository doesn't prove expertise. So there are no proficiency bars and no score, just a clear label on every fact saying where it came from.
- Résumé v3You said it, in that version of your résumé.
- GitHubObserved in a source you connected.
- CorroboratedTwo independent sources agree.
- AI-extractedRead from your résumé by AI. Worth a check before you rely on it.
- Your correctionYou fixed it. The original stays in the history.
Your data stays yours
The specifics are in the privacy notice.
- We never read your code
- From GitHub we read names, dates, languages, topics, and your commit activity. File contents, diffs, and commits are off limits.
- Private stays private
- Private repositories share metadata only unless you opt in. Anything you mark private never appears on a shareable surface.
- Contact details never reach the AI
- Emails, phone numbers, addresses, and secrets are removed from your résumé before any AI processing.
- No training on your data
- Our AI provider processes requests in memory and doesn't store them or train on them.
- Delete anything, for good
- Remove a single source and everything derived from it, or your whole account. Deletion is permanent.