MONEY MAGNET LLC

Flipper active in San Diego-Chula Vista-Carlsbad, CA. 8 acquisitions, $8.03M tracked volume, $1.00M average price, latest observed May 2024.

San Diego-Chula Vista-Carlsbad, CAflipperorganization
0% cash2 observed lenders$1.00M avgLatest May 2024

Investor profile snapshot

MONEY MAGNET LLC is a flipper real estate investor active in San Diego-Chula Vista-Carlsbad, CA with 8 recorded acquisitions totaling approximately $8,025,000. Recorded purchases appear concentrated in a tighter local market footprint. The most recent recorded purchase was in May 2024, so the visible activity window still looks more historical from a deed-record standpoint.

Recorded purchases skew toward Condo and Single Family Residential. Average observed purchase price sits near $1,003,125, which reads as higher-priced acquisitions in this dataset. Behavioral signals point to flip-oriented behavior and frequent private-lender financing within the recorded deed activity.

Observed window
March 2022 to May 2024

About 2 years of observed acquisition activity

Latest recorded purchase
May 2024

Older recency, so current acquisition pace may be slower than lifetime totals imply

Market footprint
1 state / 1 metro

Activity appears concentrated in a narrower local market footprint

Strategy read
Flip-oriented

Derived from observed cash, financing, and flip-like transaction patterns

About this profile

SFR Analytics builds investor profiles from observed deed, mortgage, and assessor records. Use these metrics to compare acquisition patterns, market footprint, and financing signals across investors. Public-record coverage and entity resolution vary by county, so counts represent observed activity in our dataset rather than a complete legal ownership record.

Transaction Summary

8
Transactions
8
Properties
$8.03M
Total Volume
$1.00M
Average Price

Property Types

CondoObserved
Single Family ResidentialObserved
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Financing Signal

Recorded mortgage data links this profile to 2 observed lenders. The public page shows a sample; Private Lender Radar is where lender teams can review the full lender history, borrower activity, lender share, and contact workflow.

Sample observed lenders

Showing 2 of 2 observed lender relationships.

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Easy StreetKiavi

Who else does Easy Street fund?

This investor uses 2 observed lenders. See borrower activity, lender market share, and verified contacts in San Diego-Chula Vista-Carlsbad, CA.

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Lenders

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Frequently asked questions

What type of real estate does MONEY MAGNET LLC focus on?

Public records associated with MONEY MAGNET LLC show activity in Condo, Single Family Residential across San Diego-Chula Vista-Carlsbad, CA.

How many properties are associated with MONEY MAGNET LLC?

Public records show approximately 8 properties and 8 recorded transactions associated with MONEY MAGNET LLC in this dataset.

Which lenders has MONEY MAGNET LLC worked with?

Recent recorded mortgage activity references Easy Street, Kiavi. Full lender history is available in SFR Analytics.

How recent is MONEY MAGNET LLC's activity?

Records show activity from 2022 through 2024, with the most recent observed purchase recorded in May 2024.

Where is MONEY MAGNET LLC active?

Recorded activity is concentrated in San Diego-Chula Vista-Carlsbad, CA, with footprint across 1 state and 1 metro in this dataset.

How is associated activity determined?

SFR Analytics matches recorded deeds, mortgages, and assessor records across counties to assemble investor-level activity profiles. Matches use name normalization, address co-occurrence, and entity signals from public records. Profiles are directional - they reflect what is observable in deed-backed data and may not capture every off-record transaction or affiliated entity.

Data sources & methodology

SFR Analytics builds these profiles from recorded deeds, mortgages, assessor records, and entity matching. They are designed for market research: comparing acquisition activity, property focus, market footprint, and financing signals across investors. Coverage varies by county and record type, so counts reflect observed activity in our dataset.