Yorick Krahenbuhl

Founder of KazKN, building niche data tools and Apify Store actors for brokers, resale operators, investors, and acquisition teams.

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Products

LoopNet + Crexi Scraper · CRE Listings · CoStar Alternative
Commercial Real Estate Brokerage Intel is an Apify actor for CRE brokers and acquisition teams who monitor public LoopNet and Crexi listings. It turns selected searches into one structured dataset with cap rate context, days-on-market fields, broker/company fields, public contacts when exposed, duplicate signals, and CSV/API export.
Launched 05/2026

Recent activity

I charge $5 per 1,000 results. My niche Apify Actor tripled its revenue in month two

I charge $5 per 1,000 results. My niche Apify Actor tripled its revenue in month two

A Broker Wanted the Delta, Not the Dataset

My $5/1k-listing data product didn’t need a dashboard yet. It needed proof pages.

My $5/1k-listing data product didn’t need a dashboard yet. It needed proof pages.

My $5/1k-listing data product didn’t need a dashboard yet. It needed proof pages.

My $5/1k-listing data product didn’t need a dashboard yet. It needed proof pages.

My $5/1k-listing data product didn’t need a dashboard yet. It needed proof pages.

My $5/1k-listing data product didn’t need a dashboard yet. It needed proof pages.

My $5/1k-listing data product didn’t need a dashboard yet. It needed proof pages.

My $5/1k-listing data product didn’t need a dashboard yet. It needed proof pages.

I built a tool directory that doesn't pretend every founder has the same needs

I got the data. Then I realized none of it was usable.

Priorities for launching a SaaS solo, with no budget

I built a $5/1k-listing CRE data API because CoStar is overkill for first-pass scans

I built a $5/1k-listing CRE data API because CoStar is overkill for first-pass scans

The code was easier than explaining what my product actually does

258 users in 2 days(Now 285) with zero ads — here's exactly how we did it (and the real problem we're solving)

258 users in 2 days(Now 285) with zero ads — here's exactly how we did it (and the real problem we're solving)

I built a CSV cleaning tool after wasting too much time on dirty data.