YC W25 — Elip AI reads ~16 million job listings overnight A job agent that lives inside WhatsApp Three curated matches by morning FREE for job seekers — employers pay when they hire Ghost-listing detection built in Founder: Gaurav Luhariwala, ex-Tartan Pivoted from Tejas AI risk decisioning YC W25 — Elip AI reads ~16 million job listings overnight A job agent that lives inside WhatsApp Three curated matches by morning FREE for job seekers — employers pay when they hire Ghost-listing detection built in Founder: Gaurav Luhariwala, ex-Tartan Pivoted from Tejas AI risk decisioning
Company · AI · Careers

Elip AI Reads Every Job Post So You Wake Up to the Three That Matter

A Y Combinator W25 startup put a job hunter inside your WhatsApp. It scans millions of listings while you sleep, throws out the fakes, and hands you a short list by breakfast.

The average job seeker does not lose the job. They lose the week before it. The scrolling, the tab-hopping across LinkedIn and Indeed and Naukri, the cover letter written at 11pm for a role that was quietly filled in March. Elip AI, a company out of Y Combinator's Winter 2025 batch, looked at that unpaid, low-status labor and asked a blunt question: why is a person doing this at all?

Its answer is an AI job agent that lives where most people already spend their day - inside WhatsApp. You tell it, in plain chat, what you are looking for. Overnight it does the reading no human wants to do, scanning across more than ten platforms and roughly sixteen million listings. By morning it sends back three matches, ranked, with a short note on why you qualify for each. No dashboard. No new app. Just a message.

~16MListings read nightly
10+Job platforms scanned
3Matches by morning

01 / THE PRODUCTRead 'em all so you don't

That line - "read 'em all so you don't" - is the whole product in six words. Job boards were built for the era of the human browser: infinite scroll, filters you tweak by hand, alerts that fire hours after the useful window has closed. Elip inverts the flow. Instead of sending you to the listings, it brings a filtered handful of listings to you, and it does the filtering with an agent rather than a keyword rule.

The pieces that make that work are unglamorous, which is usually a good sign. There is a nightly scan across sources including LinkedIn, Indeed, Naukri and Greenhouse. There is a ranking step that explains its reasoning rather than just spitting a match score. There is a memory that learns your preferences from ordinary conversation - mention you would rather not relocate, and it remembers. And when you decide to apply, it generates an ATS-ready resume tailored to that specific posting.

▚ How a night at Elip works
1ChatYou tell Elip what you want, in WhatsApp.
2ScanIt reads ~16M listings across 10+ boards overnight.
3FilterGhost & duplicate jobs are removed.
4DeliverThree ranked matches + tailored resumes by morning.
A phone showing a chat conversation
The whole interface is a chat thread. Elip's bet: the best job tool is the one you never have to open a new tab for.

02 / THE PROBLEMThe ghost in the listings

Ask anyone who has looked for work recently about "ghost jobs" - postings that are stale, already filled, or never real to begin with, left up to collect resumes or project growth. They are the dark matter of job boards: everywhere, largely unmeasured, quietly eating time. A tool that generates a slick resume does nothing about them. Elip's ghost-listing detection is the less flashy feature, and arguably the more valuable one, because it removes work rather than adding polish to it.

The second problem is timing. In a hot listing, being early matters more than being perfect. The candidate who surfaces in the first hour gets read; applicant number fifty-one, however qualified, often does not. Because Elip watches for new postings continuously, its pitch is that it can get a user in front of the right role before the queue forms.

"Get first in line, not applicant #51."Elip AI product framing
▚ Where a job hunter's time goes (illustrative)
Scanning boards
82%
Ghost / dead posts
60%
Tailoring resumes
45%
Actual interviews
12%

Illustrative breakdown of self-directed job search effort - the top three bars are what Elip aims to automate.

03 / THE MODELFree for you, paid by the hire

Elip is free for job seekers. The money comes from the other side of the table: employers pay a commission when they hire a candidate sourced through the platform. It is a placement-fee model dressed in agent's clothing, and it does something useful - it lines the company's revenue up with a user actually landing a job, not with a monthly subscription that renews whether or not the search goes anywhere.

That alignment is worth stealing as a principle. Plenty of career tools charge the person with the least leverage - the one out of work - for the privilege of trying harder. Elip charges the party with the budget and the outcome it wants. Whether the commission economics hold as the product scales is the open question, but the incentive is pointed in the right direction.

"A job agent in your WhatsApp."Elip AI tagline

04 / THE FOUNDERFrom bank risk engines to job hunting

Elip did not start as Elip. Its earlier name was Tejas AI, and its earlier problem was banking: using AI to help banks update the dense, human-maintained credit rules that govern who gets a loan - changes that could otherwise take months and cost real money. Founder and CEO Gaurav Luhariwala had the background for it, having led product and business at the fintech company Tartan, where he says he scaled revenue eightfold in a year building KYC and data tools for Indian banks.

The through-line between the two companies is not the industry; it is the shape of the problem. Both are about decisions that humans make slowly and at scale - a bank rewriting a policy, a person sifting a job market - and both try to hand that decision-heavy grind to an agent. The pivot from B2B fintech to a consumer job tool is a large one, but the instinct is consistent.

A small team working together at a desk
Small by design. Elip runs as a lean YC W25 team spread across San Francisco and Jaipur.

05 / THE MARKETWhere Elip sits

The job-tech shelf is crowded. On one side sit the mass-application tools - the LazyApplys and JobCopilots - that fire your resume at hundreds of roles and hope. On another sit resume builders like Rezi. Underneath it all are the boards themselves: LinkedIn, Indeed, Naukri. Elip's positioning is a deliberate rejection of the spray-and-pray camp. It is not trying to send more applications; it is trying to send fewer, better ones, and to spare the user the reading in between.

Two choices set it apart. The first is the interface: building on WhatsApp rather than a website meets a huge population - especially in India, where the company has an engineering base in Jaipur - inside a messenger they already keep open. The friction of "download our app" is where a lot of good consumer tools quietly die, and Elip skips it. The second is curation over volume. Three matches sounds modest next to "we applied to 300 jobs for you," but modest is the point. It is a claim about quality, and about respecting a person's attention.

W25Y Combinator batch
$130KSeed funding
SF + JAISan Francisco & Jaipur

None of this guarantees the thing works at scale. Agent quality is only as good as its ranking, ghost detection is an arms race, and a placement-fee model has to convince employers to route hiring through a young platform. But the read on the market is clear-eyed. The resume-blasting era produced more noise for everyone - more applications for candidates to send, more slush for recruiters to wade through. Elip is a bet that the next useful thing in job search is subtraction, delivered somewhere you already are.

#elip-ai#yc-w25#ai-job-agent#whatsapp #job-search#recruiting#ai-agent#resume #gaurav-luhariwala#san-francisco#jaipur#career