About Furlenco
Furlenco is one of India's largest furniture rental and subscription companies. As their engineering team scaled across frontend, backend, Android, iOS and SDET, the recruiting pipeline grew faster than the senior engineering bandwidth available to evaluate it.
The problem
Why Furlenco brought in Fabric
A scaling engineering team, five open stacks, and the same dozen senior engineers needed for both shipping and screening.
10,000+
candidates across 5 roles
Volume crushing capacity
- Strong employer brand attracting huge applicant volume
- Five different stacks, each needing its own evaluation
- Vendor partners and job boards funnelling in parallel
100s
of first-round interviews to run
Senior engineers as bottleneck
- Every R1 hour was an hour not shipping product
- Pulling tech leads off sprints compounded delays
- Multi-interviewer first rounds drifted in calibration
48%
of technical candidates flagged
AI-assisted cheating
- AI cheating tools in widespread candidate use
- Manual cheating detection impossible at this volume
- Senior engineers already overstretched to add it
The solution
How Fabric replaced first-round screening
Fabric took over the entire first round with role-specific interviews, automated screening, and cheating detection in a single workflow.
01
Role-specific R1 interviews
- Custom coding questions per stack (FE, BE, Android, iOS, SDET)
- Identical structure across candidates for clean calibration
- Configured by engineering leadership, run by AI
02
Resume screening on autopilot
- Job-board and vendor candidates funnelled through one pipe
- Each application scored against role-specific criteria
- Senior team saw a ranked shortlist, never the pile
03
Always-on cheating detection
- 48% of technical candidates flagged across the pipeline
- Detection ran silently throughout every interview
- Flagged candidates surfaced with timestamped evidence
Results
What changed for Furlenco
Pipeline throughput
Faster Hiring
10,000+
candidates screened
100s
AI interviews conducted
30
engineers hired in 2 months
Engineering time saved
Senior Capacity Preserved
1,000+
hours returned to product work
0
R1 interviews by senior engineers
5
stacks staffed in parallel
