Live AI product preview

Stop reading resumes.
Start reading signal.

Seekr scores every applicant, moves them through your pipeline, and drafts the outreach, so your team spends its hours on people.

Live AI, this preview calls Gemini

Everything below is interactive · mock data

AI matching you can steer

Toggle the skills this role needs and every candidate re-ranks instantly on a heuristic baseline. Hit Score with AI and Gemini returns a real 0-100 score with a one-line reason for each.

Role needs · Senior Backend Engineer

Heuristic baseline
AE

Amara Eze

Staff Software Engineer · 9 yrs · Lagos

Distributed Systems
Kafka
System Design
Kubernetes
Go
gRPC
PostgreSQL
AWS
97

#1

MC

Maya Chen

Senior Backend Engineer · 8 yrs · Singapore

Go
Kafka
Distributed Systems
Kubernetes
PostgreSQL
System Design
gRPC
92

#2

DO

Daniel Osei

Senior Backend Engineer · 7 yrs · Accra · Remote

Go
Kafka
Distributed Systems
PostgreSQL
System Design
AWS
82

#3

WL

Wei Lin

Platform Engineer · 6 yrs · Taipei

Kubernetes
AWS
Distributed Systems
System Design
Go
72

#4

SN

Sofia Novak

Backend Engineer II · 5 yrs · Prague

Go
PostgreSQL
Kubernetes
gRPC
AWS
70

#5

LF

Lucas Ferreira

Software Engineer · 6 yrs · São Paulo

Go
Kafka
PostgreSQL
AWS
63

#6

PR

Priya Raman

Backend Engineer · 4 yrs · Bangalore · Remote

PostgreSQL
System Design
AWS
gRPC
60

#7

EB

Ethan Brooks

Backend Developer · 3 yrs · London

PostgreSQL
AWS
Go
47

#8

Your pipeline, drag and drop

The real Seekr job stages. Drag a candidate across the board, or focus a card and use the left and right arrow keys, and the counts update live.

Long list

2

Priya Raman

Backend Engineer

60% match

Lucas Ferreira

Software Engineer

63% match

Short list

2

Sofia Novak

Backend Engineer II

70% match

Ethan Brooks

Backend Developer

47% match

CV sent

1

Wei Lin

Platform Engineer

72% match

Interviewed

1

Daniel Osei

Senior Backend Engineer

82% match

Offered

1

Maya Chen

Senior Backend Engineer

92% match

Placed

1

Amara Eze

Staff Software Engineer

97% match

Resume in, profile out

Paste any resume or drop a .txt, and Gemini extracts name, title, skills, experience and education into structured fields. Try your own.

Parsed profile

Name

—

Title

—

Experience

—

Location

—

Email

—

Skills

—

Education

—

Summary

—

Automations that run themselves

Set a score threshold, then let Gemini draft a personalised interview invite for every qualifying candidate and advance them on the board above.

Trigger

Candidate scored

Fires when AI matching finishes

Condition

Match score ≥ 80%

Filters for high-fit candidates

3 pass

Action

Advance to Interviewed

AI-drafted invite, auto-scheduled

all advanced

Threshold

80%

Amara Eze · 97%
Maya Chen · 92%
Daniel Osei · 82%
Wei Lin · 72%
Sofia Novak · 70%
Lucas Ferreira · 63%
Priya Raman · 60%
Ethan Brooks · 47%