A senior at TJ built a job-search tool for people whose brains the listings forgot
Navya Tuteja's Raaha scores job postings against how a person actually works. Fortune counts more than 1,000 users.
A job posting tells you the requirements and the perks. It rarely tells you whether the office is loud, whether meetings arrive without warning, or whether anyone will notice you need a quiet hour. Navya Tuteja built a tool for that gap.
Tuteja is a student at Thomas Jefferson High School for Science and Technology in Fairfax County, Virginia. Her product, Raaha, is a free site that helps neurodivergent job seekers judge whether a role fits how they work before they apply. WTOP reported that users paste in a job description and take a short work-style quiz. The tool then scores the listing on factors such as task structure, work pace, communication and schedule predictability.
Why she built it
Her mother is hard of hearing and, WTOP reported, did not get the workplace accommodations she needed. Tuteja also watched classmates who think differently get treated the same way. “What I’ve learned is job descriptions contain a lot of hidden information,” she told WTOP.
How it was built
Technical.ly reported that Raaha runs on Anthropic’s Claude API and draws on public job listings, including Adzuna and USAJobs, and that she asked neurodiversity specialists for feedback. Most of the work happened over about a year, on school nights, weekends and spring break. Fortune reported that she bootstrapped it and wrote the scoring algorithm herself, using AI mainly for mechanical work like cleaning up the site’s design.
Profiles are not shared with employers, Technical.ly reported. The tool also includes an interview-practice chatbot that covers how to ask for accommodations.
The numbers
Raaha launched in late June 2026. WTOP counted over 200 users a month later. By late September, Fortune reported more than 1,000 users and more than 20,000 job listings. The figures come from the founder, and press accounts differ on small details such as how many scoring factors there are.
Fortune said she plans to charge employers and workforce groups eventually, and would consider running it full-time if growth holds, while still intending to attend college. She also built Legible, which turns special-education paperwork into plain language, and leads her school’s AI club.
Her case for the design, as she told Technical.ly: “I think the hard part is ending up in an environment that was never built for how you work.”
