TOFU MACHINE
Top of funnel
- Landing page A/B testing
- Tour booking flow
- WhatsApp lead capture
- UTM and source attribution
- First-30-day onboarding sequence
Tracks every lead from impression to invoice.
HIVEDESK
See members leaving before they do.
One operating system runs the floor, profiles every member, and shows the owner exactly where revenue is leaking. Churn gets caught thirty days early, not on the day the desk goes empty.
84 active members12 rooms booked todayAvg stay 7.2 months
STUDY · 10
Six different tools. None of them talk to each other.
We built this as a working prototype, inspired by the real bottleneck of a neighborhood coworking space. If this sounds like your business, we can build and ship your version in about 22 days.
Sound like your business? Coworking spaces. Studios with memberships. Any space-based business losing track of who is in and who is leaving. The pattern is the same.
If this sounds like your business, let's build yours →
LIVE · FLOOR STATUS · UPDATED EVERY MINUTE
UPDATED MOMENTS AGO
84
Active members
Of 96 seats
12
Rooms booked today
Of 18 rooms
73
Hot-desks taken right now
Of 84 hot-desks
Rs. 4.2L
Lakh MRR
Up from 3.1
THE NUMBERS DIDN’T LIE
70% occupancy. 4-month average stay. A whiteboard for room bookings.
Amit’s 120-seat floor in Indiranagar sits in the middle of Bangalore’s tech churn. His members are WeWork-trained. They expect a working calendar, a Slack channel, an espresso machine that does not run dry at 4pm.
He was running it on Excel and goodwill, chasing renewals on WhatsApp the day they lapsed. It was never a member problem. He just could not see what was happening until it had already happened.
0
Analytics dashboards
0
Automated followups
0
Churn predictors
Two problems pretending to be one.
Filling the floor and keeping people past month four need different machinery. We built both, kept them separate.
THE OPERATING SYSTEM
One dashboard. The whole floor. In real time.
Indiranagar HQ · Live snapshot
WHAT 4-MONTH CHURN ACTUALLY LOOKS LIKE
100 members in January. 38 in May.
The cohort view Amit had never seen. January’s intake, watched across five months, each bar shrinking. We built this first, because seeing the leak is half of fixing it.
0
Jan
0
Feb
0
Mar
0
Apr
0
May
Once Amit could see it, the conversation with members changed.
DETAILS
The small things people actually feel.
0%→0%
Occupancy
0mo→0mo
Avg member stay
+0%
MRR in 90 days
0→0
Dashboards
ABOUT THIS BUILD
Built in 22 days. A custom dashboard, member CRM, room booking with capacity logic, a churn model trained on 18 months of his old Excel exports, Razorpay for renewals, WhatsApp for nudges. It replaced six tools and a whiteboard. The at-risk list is the part he opens first.
- Client
- HiveDesk · Indiranagar HQ
- Industry
- Coworking
- Location
- Bangalore
- Timeline
- 22 days
- Year
- 2025
Capabilities
- Custom dashboard
- Member CRM
- Room booking system
- Churn scoring model
- WhatsApp Business API
- Razorpay integration
He was running it on Excel and goodwill, chasing renewals on WhatsApp the day they lapsed.
HIVEDESK · CONCEPT
NEXT STUDY · 011
Malabar Spice House
Heritage exporters who didn’t need a tool. They needed a website that smells like Kochi. →