The opportunity
A solo apartment hunt is a real-time race against everyone else refreshing the same listings. The good places move in minutes, the sources are fragmented, and the searcher can’t watch them all while also living their life. The result is missed listings, wasted viewings on scams or duplicates, and decisions made under pressure.
A reachable owner, a concrete pain, and an outcome that can be measured before and after — a clean Lab case.
The hypothesis
One always-on home base pointed at every source, paired with cloud qualification, can turn a frantic solo search into a staffed operation. A read-only, human-in-the-loop Chrome extension drives the searcher’s own authorized browser sessions to surface new posts within minutes; Cloud Functions parse, score, scam-screen, and dedupe each find the instant it lands; only hot, qualified leads buzz the phone — deep-linked to act first.
Current state → future state
| Current state | A single person manually refreshes fragmented listing sources and still misses fast-moving posts. |
| Problem / pain | Listings move in minutes; viewings get wasted on scams and duplicates; decisions are rushed. |
| Who is affected | The searcher (and, here, their dog) — anyone running a time-critical solo hunt. |
| Impact focus | Speed · signal quality · reclaimed time. |
| What success looks like | A home base hunts every source; the cloud qualifies in real time; the searcher commands from a mobile HQ. |
| What would improve | Hot leads reach the phone within ~15 minutes, pre-screened for scams and duplicates. |
| Constraints & risks | Read-only and human-in-the-loop, with a global kill switch; never takes an outbound action the searcher didn’t approve. |
How impact is measured
- Time-to-lead notification — minutes from a listing appearing to a qualified buzz on the phone.
- Qualified leads / day — volume of real, actionable finds after scam and duplicate screening.
- Filter precision — share of surfaced leads that are genuine, not noise.
Why it’s a Lab case
It is narrow, sponsored, and measurable — and the home-base → hunt → qualify → convert architecture is a reusable pattern: any time-critical search across fragmented sources can adopt the same governed, human-approved engine.
The exact system may be different. The pattern is what matters: a real workflow, a measurable pain, and a bounded first proof point.
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