@realDonaldTrump’s #hashrate just went up. The more you try to take him out the stronger he becomes. I’ve been saying it, the man IS Bitcoin. He’s even orange.
Now agents can show buyers scores for every city, neighborhood, or listing page instantly.
Data that helps buyers decide.
Tools that help agents close.
Giving away all #BuildInPublic tools for free on https://t.co/pj7taKZBiY. Not yet, but soon. Stay tuned.
#JustShipped: Automatic WalkScore integration.
- Walk Score
- Transit Score
- Bike Score.
All auto-populated via API WalkScore integration.
This saves time. Just visit a city or neighborhood page and get the scores fast.
The Tech stack:
- PHP/MySQL
- OpenStreetMap Nominatim (geocoding)
- 90-day caching (97% reduction in API calls)
On Demand refresh when you need to fetch the latest scores.
This weekend: Building automatic WalkScore integration in https://t.co/F5sZ6bZoah. This is not the copy/paste widget, but a custom build. Walk Score, Transit Score, Bike Score built with Miami-specific geocoding.
#ShippingMonday#BuildInPublic#MiamiRE
10/10
3 Takeways:
Read error logs first—not outdated docs
Validate everything from external sources
Understand the math behind your data
Next: Building an agent dashboard to visualize this data.
Building tools Miami agents actually need.
1/10
Thought I'd ship the Census integration in 48 hours on Saturday.
Took 36 hours across 3 days.
Here's what I learned about building reliable data systems. 🧵
#BuildInPublic
9/10
Problem #4: Taxonomy slugs are inconsistent.
Assumed location-type.
It was location-types.
Built a checker that tries 4 variations until it finds the right one. Build defensively.
@PeoplesForumNYC 20% of the Cuban population (myself included) live in exile. That’s a bigger percentage per capita than African Americans, which is close to 15%. So, my question to these Libs is:
How can 20% of any population be wrong in their claims for fleeing their home?
5/5
Now agents pitch with real data, not guesses.
"Perfect for young professionals" becomes "Median age 34, $118K household income, 68% bachelor's degrees or higher."
Rolling out a waitlist soon.
#realtors and #developers interested can DM me.
1/5
Demographic data for every Miami location: Shipped!
Close to 40 Census data points. Median income, education, household size—all auto-populated in 3 seconds.
4/5
The smart part: For neighborhoods spanning multiple tracts (like #Brickell where there are two), it aggregates intelligently.
- Sums populations.
- Calculates weighted averages.
- Handles medians correctly.
No partial data.