Software Alternatives, Accelerators & Startups

Peerstreet VS LINGA POS

Compare Peerstreet VS LINGA POS and see what are their differences

Peerstreet logo Peerstreet

Finances real estate through a form of crowdfunding.

LINGA POS logo LINGA POS

LINGA POS system for the retail and restaurant businesses. Try a free trial.
  • Peerstreet Landing page
    Landing page //
    2023-01-05
  • LINGA POS
    Image date //
    2024-02-18

LINGA POS is a online cloud-based point of sale system that able to run any type of the Restaurants and Retail establishments with its powerful, scalable architecture and rich feature set.

Peerstreet

Pricing URL
-
$ Details
-
Platforms
-
Release Date
2013 January
Startup details
Country
United States
State
California
Founder(s)
Alex Perelman
Employees
100 - 249

Peerstreet videos

2020 PeerStreet Review: Will I Continue To Invest In PeerStreet?

More videos:

  • Review - PeerStreet Review With Results - Invest In Real Estate Loans
  • Review - PeerStreet: Pros and Cons

LINGA POS videos

Enterprise POS System | Linga POS for the Franchise

More videos:

  • Review - Linga POS-The most advanced cloud based POS

Category Popularity

0-100% (relative to Peerstreet and LINGA POS)
Fintech
100 100%
0% 0
POS
0 0%
100% 100
Investing
100 100%
0% 0
Payments Processing
0 0%
100% 100

User comments

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What are some alternatives?

When comparing Peerstreet and LINGA POS, you can also consider the following products

Ark7 - Choose a property and invest in shares

CrankWheel - Insanely simple, enterprise-friendly screen sharing, free for individual use.

RealtyShares - Real Estate Investing in 20 Minutes

Webnexs POS - Webnexs POS is a world’s most leading and comprehensive POS (point of sale) solution designed to let you sell from your one e-commerce website.

Cash Flow Portal - Real-estate syndication software that accelerates capital raising. We make it easy for GPs to raise money, streamline operations, and reach investors to win more deals than ever before.

Melissa Data Quality - Melissa helps companies to harness Big Data, legacy data, and people data (names, addresses, phone numbers, and emails).