Summary
- Agnay Srivastava and Pulkit Gupta built Tsenta after Srivastava’s own internship search produced barely 10 to 12 interviews from thousands of applications.
- The AI platform automates job discovery, resume tailoring and submission, reportedly completing 40+ applications in minutes across systems like Workday and Greenhouse.
- Y Combinator has backed Tsenta with a reported $500,000 (~₹5 crore) after the founders won a hackathon referral into the accelerator.
Agnay Srivastava sent out somewhere between 2,500 and 3,000 internship applications. He got 10 to 12 interview callbacks. That’s the kind of ratio that breaks people, or pushes them to build something.
Srivastava, along with fellow Indian student Pulkit Gupta, chose the second option. Their AI startup Tsenta now automates the job application process end to end, and it just picked up backing from Y Combinator. For a founder story about frustration turning into a functioning product, this one checks every box.
What Happened
Srivastava moved to the US in 2022 after finishing school in Mumbai, enrolling at Rose-Hulman Institute of Technology to study computer science and AI. He expected his coding ability to open doors. Instead, he told Moneycontrol, he found himself stuck refreshing job boards and retyping the same information into Workday forms, over and over, with almost nothing to show for it.
Gupta, 19, had been through a similar grind. Both founders were international students competing in an unusually tight US hiring market, where a single qualified candidate can end up applying to hundreds of roles just to land a handful of interviews.
So they built Tsenta. The platform uses AI agents to find relevant openings, tailor a resume for each specific role, and submit the application automatically across major hiring systems including Workday, Lever and Greenhouse. According to the founders, the tool can push through more than 40 applications in the time it would take a person to complete two or three by hand.
The product didn’t come out of a funded lab or a formal accelerator sprint. It came out of a dorm room, built during summer internships, self-funded on roughly $100 before any outside money came in.
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Why Y Combinator Said Yes
The YC connection has an unusual origin story of its own. In September 2025, the team took part in Georgia Tech’s hackathon and won across two separate tracks, a rare feat. One of the prizes on offer was a choice: direct interviews with YC-backed companies, or a referral into Y Combinator itself.
They chose the referral. They applied in November and were accepted in December. Y Combinator’s own listing confirms Tsenta was built by Gupta and Srivastava and went through the Summer 2026 batch under partner Jared Friedman.
The funding itself is reported at $500,000, translating to roughly ₹5 crore, a fairly standard early check size for YC’s core program.
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The Growth Numbers
What likely caught YC’s attention isn’t just the product idea. It’s the traction curve. Tsenta’s user base grew from around 1,100 users to nearly 8,000 in about two months, and founders have since pointed to a customer count crossing 9,000, with growth roughly doubling month on month.
Users have reported interview calls from companies including Goldman Sachs and NVIDIA after using the tool to submit a higher volume of tailored applications. Revenue has reportedly grown 5X in a single recent month, according to founder statements to YourStory, though exact figures haven’t been independently disclosed.
On pricing, Tsenta positions itself against existing tools that charge around $20 for 80 applications. The founders say their platform offers roughly 600 applications for a comparable price, betting that higher volume, done well, meaningfully improves a candidate’s odds.
There’s a detail worth flagging here for transparency. Some coverage describes Tsenta as a cloud-based platform working across ATS providers like Workday and Greenhouse. Other sources describe a desktop-first build that runs locally on a user’s machine. We’re going with the founder-sourced Moneycontrol account as the primary version of the story, since it comes directly from Srivastava, and treating the desktop-only claim as unconfirmed until the founders clarify it publicly.
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Startup INDIAX Take
The Tsenta story is a reminder that the best startup ideas often come from founders who are also the most frustrated users. Srivastava and Gupta weren’t chasing a market opportunity they’d spotted from the outside. They were trying to fix a problem sitting directly on top of them, at 3 a.m., between classes and internship deadlines.
For Indian founders building in the US or anywhere else, there’s a lesson in the sequencing here. They didn’t raise money to build the product. They built the product first, on almost nothing, proved it worked for themselves and then a few thousand strangers, and only then did institutional money show up. That order matters more than most pitch decks admit.
It also says something about where Indian founder talent is showing up globally. Two students, barely out of their teens, building for a US audience while carrying an Indian engineering and problem-solving instinct with them. That’s a pattern Startup INDIAX expects to see more of, not less.
Why This Matters
For job seekers, Tsenta is part of a broader shift where AI tools are being pointed at the hiring process from the candidate’s side, not just the employer’s. If tools like this scale, they change the math of how many applications a single person can realistically submit, which puts pressure back on companies to rethink how they screen for real fit rather than keyword density.
For founders and investors, this is also a case study in what a lean, self-funded MVP can look like before it ever touches outside capital. Two students, a few hundred dollars, and a real problem were enough to get noticed by one of the world’s most selective accelerators.
For India’s startup ecosystem specifically, it’s another data point in a growing trend: young Indian-origin founders building globally relevant AI products while still in college, often outside the traditional India-first startup pipeline.
The Bigger Picture
Job-application automation is becoming a crowded field. Tools like LazyApply and Sonara are already competing for the same frustrated job-seeker audience, and as more AI-generated applications flood employer systems, applicant tracking systems are getting better at detecting and filtering them out. That’s a real headwind for any platform in this category, including Tsenta.
There’s also a fairness question sitting underneath all of this. If AI tools let one candidate apply to 600 jobs at the push of a button, the volume war eventually stops helping anyone, including the person using the tool, unless the underlying matching and tailoring is genuinely good rather than just fast. Tsenta’s next real test isn’t funding. It’s whether its 40-applications-in-minutes pitch keeps translating into actual interviews as adoption scales and employers adjust.
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Know a student founder building something out of pure frustration with a broken system? That’s exactly the kind of story Startup INDIAX wants to hear. Drop it in the comments, or reach out directly, we’re always looking for the next dorm-room build worth writing about.
FAQs
Who founded Tsenta?
Tsenta was founded by Agnay Srivastava, 21, and Pulkit Gupta, 19, both Indian students studying computer science at Rose-Hulman Institute of Technology in the US.
What does Tsenta actually do?
It uses AI agents to find job openings that match a candidate’s profile, tailor their resume for each specific role, and automatically submit the application across ATS platforms like Workday, Lever and Greenhouse.
How much funding did Tsenta receive from Y Combinator?
Tsenta reportedly received $500,000 from Y Combinator, translating to roughly ₹5 crore, as part of its Summer 2026 batch.
How did Tsenta get into Y Combinator?
The founders won two tracks at a Georgia Tech hackathon in September 2025 and chose a referral into YC as their prize instead of direct interviews with YC companies. They applied in November 2025 and were accepted that December.
How many users does Tsenta have?
User numbers have been reported growing from around 1,100 to nearly 8,000 within two months, with later founder statements citing figures closer to 9,000 and month-on-month growth roughly doubling.
Is Tsenta available for Indian job seekers?
Tsenta primarily serves the US market today, but it also supports job seekers in India and the founders have said they are working on expanding coverage of Indian employers.