← May 6, 2027 edition

vela

AI scheduling for the most complex interactions

Vela Handles the Scheduling Nightmare That Makes Recruiters Quit

AIRecruitingProductivity

The Macro: Interview Scheduling Is the Most Annoying Problem in Recruiting

Recruiting coordinators exist because interview scheduling is too painful for recruiters to handle themselves. A single interview loop for a software engineering role might require coordinating four panelists across three time zones, checking everyone’s calendar, accommodating candidate preferences, and managing the inevitable rescheduling when someone gets pulled into an urgent meeting.

The process involves dozens of emails, multiple calendar checks, and constant follow-ups with unresponsive participants. A recruiter at a growing startup might spend half their day on scheduling logistics rather than actually recruiting. The labor cost is real, and the opportunity cost is worse. Every hour spent scheduling is an hour not spent sourcing, screening, or closing candidates.

Calendly and similar tools solve simple scheduling. You send a link, someone picks a time, done. But multi-party interview scheduling with different interviewer pools, panel requirements, and multi-stage loops is an order of magnitude more complex. GoodTime and ModernLoop have built products for this, but they still require significant manual configuration and oversight.

The premise that scheduling is fundamentally a human nuance problem, not a calendar problem, is a good one. Knowing who to prioritize, how hard to push for a time slot, when to offer alternatives. These are judgment calls that current scheduling tools punt to humans.

The Micro: Two Z Fellows Who Already Have Netflix and LinkedIn Using Their Product

Gobhanu Sasankar Korisepati and Saatvik Suryajit Korisepati founded Vela. Gobhanu left the Wharton Huntsman Program, worked at Perplexity and BCG AI, and was a Z Fellow. He founded a microfinance bank at age 14 that operated across 77 countries. Saatvik dropped out of UChicago’s Booth Scholar MBA/MS CS program, won awards as an engineer on AWS’s ML Supercompute team, and has a Carnegie Mellon CS degree. He filed his first patent at 16. Both are Z Fellows.

The product is an AI scheduling assistant for recruiting. You CC Vela on an email or text it directly, and it handles everything: candidate-client coordination, availability matching, booking, rescheduling, and confirmations. It works across email, SMS, WhatsApp, Slack, and Teams with timezone awareness and automatic follow-ups.

The client list is striking. Netflix, LinkedIn, SanDisk, Zoox, Scale.AI, Via, Pony.AI, and AWS are listed as endorsers. SOC 2 certification is in place. The claimed time savings is 43.5 hours per recruiter per month.

They have a four-person team from the San Francisco Bay Area, part of YC Winter 2026 with Jon Xu. Backed by YC, Pareto Holdings, and Z Fellows.

The Verdict

Vela has the traction that most early-stage companies only put on their vision slides. Major company logos, SOC 2 certification, and a concrete time savings metric. The product clearly works well enough for sophisticated recruiting teams to adopt it.

The risk is category competition. GoodTime is well-established in enterprise interview scheduling. Ashby and Lever have scheduling features built into their ATS platforms. If any of these add AI coordination that matches Vela’s capability, the standalone scheduling market shrinks.

In 30 days, I want to see the rescheduling rate. How often does Vela successfully reschedule without human intervention? In 60 days, the question is whether placement timelines are actually shorter for companies using Vela. Faster scheduling should mean faster hiring. In 90 days, I want to know about expansion beyond recruiting. If Vela handles complex multi-party scheduling, there are applications in healthcare, legal, and sales that could be massive.