2.6× more first interviews.
Same experience, written so it gets read. We interview you, find the wins you forgot, and write the resume around them.
Upload your old resume or start from scratch.
Before: Worked on payments service migration.
After: Migrated a 40M-txn/day payments service to Kafka; cut p99 latency 63% (900ms to 330ms).
found in interview, Q3
Used by 1,000+ engineers, including people who got offers from
- Grafana
It interviews you before it writes a word.
You probably forgot your best work, or decided it didn't count. We ask follow-up questions until it surfaces, then reframe it so it reads as the achievement it was.
- step 1Upload your old resume, or start from scratch.
- step 2Answer questions that dig into what you actually did and what changed because of it.
- step 3Get a resume written with the latest research on what works for human reviewers and AI screening.
You mentioned the payments migration. What was slow before, and what changed after you shipped it?
p99 was around 900ms at peak. After the move to Kafka it sat near 330. Honestly I thought that was just part of the job.
Worked on payments service migration.
Migrated a 40M-txn/day payments service to Kafka; cut p99 latency 63% (900ms to 330ms).
Two readers. One resume that passes both.
The ATS parser
| name | detected |
|---|---|
| contact | detected |
| experience | 4 positions parsed |
| skills matched | Go, Kafka, PostgreSQL, Kubernetes |
| layout | single column, no tables |
The human skimming it
Metrics up front, so the impact lands in the first line, not the third.
Migrated a 40M-txn/day payments service to Kafka; cut p99 latency 63%.
Led on-call redesign for 6 services; reduced pages per week from 31 to 9.
Tuned to the role you're applying for.
Give it a job posting. Your resume is tuned to that position with the keywords the role is screened for.
job posting
We're hiring a Senior Backend Engineer to own our event streaming platform on Kafka, drive down p99 latency on payment APIs, and mentor two mid-level engineers.
- Migrated a 40M-txn/day payments service to Kafka; cut p99 latency 63%.
- Designed the event streaming contract used by 5 downstream teams.
- Mentored 2 engineers through their first on-call rotations.
What 2.6× measures.
- users
- 1,000+
- period
- the last year
- first interview
- a conversation with a human
Pick how many roles you're going after.
Billed monthly.
-
Minimal
Build a resume from scratch. $5/mo -
Expert
Fine-tune your resume for specific positions. 20 positions per month $20/mo -
Ultra
Unlimited fine-tuning. no position cap $100/mo
Questions
Do I need an existing resume?
No. Upload your old resume or start from scratch; the interview fills in the rest.
What does fine-tuning for a position mean?
You give it a job posting and your resume is tuned to that position with the relevant keywords. Expert covers 20 positions a month; Ultra has no cap.
Will it pass applicant tracking systems?
That's one of the two readers it's written for. The other is the person who reads it after.
How is the 2.6× measured?
It's the average increase in resume-to-first-interview conversion across 1,000+ users over the last year, comparing their new resume with their previous one. A first interview means a conversation with a human.