The assignment
Build a weekly agent that scrapes last week's funded startups from the web and proposes your way in — a tailored application path.

This tool is built around a simple premise: freshly funded startups hire fast, so it tailors an application approach to each one. Users paste in their background and preferences, then trigger a scan of this week's funded startups for matching opportunities. The interface includes a built-in disclaimer reminding users that AI-assisted results may be incomplete and should be verified before applying — a thoughtful touch for a job-search tool built for this quest's funded-companies theme.
Rashmi shipped a deployed web app you can open. This read comes from the artifact and Rashmi's own account of it — no scores, just what the build does and does not show.
What it demonstrates
Take this awayThe transferable pattern is a three-stage pipeline — fresh signal in, judgment in the middle, a draft out. That is most useful agents, whatever the domain.
Agents earn their keep when they run without you. The bar isn't 'can AI write an outreach note' — it's 'does fresh data flow in on a schedule and come out tailored,' which is the real shape of an autonomous workflow.
Real companies, funded recently
Data pulled from a live source. A hardcoded list of startups everyone already knows about is a demo of a UI, not of an agent.
An application path that changes per company
The specific round, the sector, the role that funding implies. One paragraph with the company name swapped in is the failure mode here.
It runs without you
A schedule, a cron, a workflow trigger — something that makes 'weekly' true rather than aspirational.
Outreach you would actually send
Notes with judgment behind them. Volume is the easy part and the part that gets people ignored.
No numeric scores are published here. These pages are written reads of what each builder shipped — the build is the point, not a mark out of a hundred.