SOLANA STAR LLC

Flipper active in Indianapolis-Carmel-Greenwood, IN. 36 acquisitions, $7.96M tracked volume, $221,081 average price, latest observed Apr 2026.

Indianapolis-Carmel-Greenwood, INflipperorganization
0% cash4 observed lenders$221,081 avgLatest Apr 2026

Investor profile snapshot

SOLANA STAR LLC is a flipper real estate investor active in Indianapolis-Carmel-Greenwood, IN with 36 recorded acquisitions totaling approximately $7,958,928. Recorded purchases appear concentrated in a tighter local market footprint. The most recent recorded purchase was in April 2026, so the visible activity window still looks fairly recent from a deed-record standpoint.

Recorded purchases skew toward Condo and Single Family Residential. Average observed purchase price sits near $221,081, which reads as mid-market acquisition pricing. Behavioral signals point to flip-oriented behavior and frequent private-lender financing within the recorded deed activity.

Observed window
May 2022 to April 2026

About 4 years of observed acquisition activity

Latest recorded purchase
April 2026

Recent enough to suggest the profile is still active

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

36
Transactions
36
Properties
$7.96M
Total Volume
$221,081
Average Price

Property Types

CondoObserved
Single Family ResidentialObserved
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Financing Signal

Recorded mortgage data links this profile to 4 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 3 of 4 observed lender relationships.

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KiaviRed Maple 5mRed Maple 5m LLC+1 more in Private Lender Radar

Who else does Kiavi fund?

This investor uses 4 observed lenders. See borrower activity, lender market share, and verified contacts in Indianapolis-Carmel-Greenwood, IN.

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Lenders

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Frequently asked questions

What type of real estate does SOLANA STAR LLC focus on?

Public records associated with SOLANA STAR LLC show activity in Condo, Single Family Residential across Indianapolis-Carmel-Greenwood, IN.

How many properties are associated with SOLANA STAR LLC?

Public records show approximately 36 properties and 36 recorded transactions associated with SOLANA STAR LLC in this dataset.

Which lenders has SOLANA STAR LLC worked with?

Recent recorded mortgage activity references Kiavi, Red Maple 5m, Red Maple 5m LLC. Full lender history is available in SFR Analytics.

How recent is SOLANA STAR LLC's activity?

Records show activity from 2022 through 2026, with the most recent observed purchase recorded in April 2026.

Where is SOLANA STAR LLC active?

Recorded activity is concentrated in Indianapolis-Carmel-Greenwood, IN, 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.