Agents that earn consumers dollars when they shop, travel, and live.

Consumers miss out on $70B+ every year because they're busy and unaware, and that money is sitting in their email inbox. So, we automated reading email receipts and claiming the money they're entitled to, offering a service to which you can sign up once, do (literally) nothing, and earn $. Where is this money coming from? - Retailers: When the price of clothes or furniture you've already bought drops, you're entitled to a refund for the difference - Airlines: When a flight you've booked gets delayed or canceled, you're entitled to a cash compensation. - Enterprises: When a class-action lawsuit is filed against a company you engage with, you're entitled to money. - And many more, that even the government holds some of your unclaimed funds. Today, the dream of one service that automatically claims the money you deserve when you shop, fly,... and live is (finally) possible. We started with automating refunds in the shopping industry and have secured $8,000 in refunds to our users, growing 233% MoM. With AI, we've been able to repurpose that same automation to tackle refunds in the flight industry and the class-action lawsuit landscape. Why us? (1) We're obsessed with reclaiming what's rightfully yours: Kamal and Anthony grew up in Lebanon, where people's money was unfairly taken away. (2) Weijie was the lead infra engineer for Wish's recommendation system, the feature that fueled their IPO. Our combined experience includes Apple, Addepar, Bolt, Wish, and StackAdapt. And we're all working towards one goal: move those billions of dollars where they belong.

fintechconsumerconsumer-financeai-assistant

Total Open and Closed Positions

Total open positions, and positions newly closed since the previous update

Department Headcount Over Time

Open positions per department · top 6 at any point in the window

Newly Opened and Closed Positions

Position Churn Rate

Positions closed within 14 days of opening · a high rate suggests posting instability — duplicates, pulled listings, or roles filled through internal or off-market channels

Time-to-Fill Distribution

Days from open to close · closed positions only

Salary Trend Over Time

Monthly median base salary · USD · annualized · p25/p75 dashed

Salary Range by Department

Employment Type

Technical vs. Non-technical

Open positions · by department

Top Roles by Department

Seniority Mix

Derived from job title keywords

Equity Range by Department

Top Skills

Top Tech Stacks

Skills Trend

Change in share of postings · recent 3 months vs. prior 3 months

Tech Stack Evolution

Positions opened per month · top 5 technologies