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Disrupting IT -Technology for 2021

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Analysis of

Update: Trustfeed is now listed on OTCmarket (OTC:HEME)

Market Challenge
There are good reviews and bad reviews. It is not possible to tell whether a glowing review
was written by the business owner, its employee or a paid reviewer.

A study of fraud found that up to 16% of Yelp review were suspicious. Some Amazon categories had up to 64% of fake reviews.

  1. The importance of positive and legitimate reviews can be leveraged by a company
    during lead acquisition. According to an article by Hubspot 92% of consumers are
    more likely to purchase a product online after reading a positive review about it.
  2. Behind many review-system failures lies a common assumption: that building these
    systems represents a technological challenge rather than a managerial one. Business
    leaders often invest heavily in the technology behind a system but fail to actively
    manage the content, leading to common problems.
  3. The implications of poor design choices can be severe: It’s hard to imagine that
    travelers would trust Airbnb without a way for hosts to establish a reputation (which
    leans heavily on reviews), or that shoppers could navigate Amazon as seamlessly
    without reviews.
    Initially when review platforms start out they are faced with the challenge of getting
    reviews, as for Trustfeed we will not be faced with this problem to such an extreme level as
    we are acting as a marketplace scraping real time data from all review websites and
    comparing them on ours.

    Selection Bias:
    Selection bias can become even more pronounced when businesses nudge only happy
    customers to leave a review. This is when the majority of customer reviews are
    positive, therefore making it difficult to distinguish between good and bad reviews.

    eBay encountered the challenge of selection bias in 2011, when it noticed that its
    sellers’ scores were suspiciously high: Most sellers on the site had over 99% positive

    TrustFeed’s Solution
    At trustfeed we intend to utilize the latest modern day technology such as machine learning
    and artificial intelligence
    to create an algorithm using laws such as Bayes theorem to enable
    our system to tell the difference between a fake review and a real review.

    Additionally we may implement for all users to confirm their identity before making
    an account using a third party confirmation software.

    Business Model
    High growth and recurring SaaS revenues and freemium service
    Trustfeed will introduce a flexible, modular subscription model where businesses can use
    Trustfeed’s basic services for free and will be able to subscribe for additional services on
    Trustfeed’s platform.
    In order to establish real time data from a variety of websites Trustfeed will need to
    purchase a variety of static proxy services to obtain the real time data.
    Competitive Landscape

    Amazon Customer reviews
    Amazon has been recently subject to fraudulent reviews via their third party sellers. In a
    recent breach discovered by Safety detectives cybersecurity team they discovered
    13,124,962 of these records that have been exposed. Totalling up to 7GB worth of data.

    Trust Pilot
    According to a recent transparency report published by Trustpilot It says of the 39 million
    written reviews posted to its platform in 2020:
    • 2.2 million were removed for being fake or harmful, representing 5.7% of the total
    • 1.5 million were automatically deleted by its fraud detection software
    • just under 660,000 were taken down manually
    • businesses reported about 469,000 suspicious reviews, of which 62% were taken
    • consumers reported nearly 90,000 suspicious reviews, of which 12% were removed

    In their most recent transparency report published by Search Engine Land just over 2% of
    reviews reported were faked. This equates to around 1.4 million reviews.

SWOT Analysis

Market Opportunity
Total Addressable Market (“TAM”). The global TAM (excluding China) is
estimated by OC&C Strategy Consultants LLP (“OC&C”) to be approximately US$50 billion.
According to an report in May 2019, retail ecommerce was approximately
14.1 per cent of all global retail spending, or US$3.5 trillion, in 2019 and is forecast to
amount to approximately 22.0 per cent. of all global retail spending, or US$6.5 trillion, by

Trustworthy systems can give consumers the confidence they need to buy a relatively
unknown product, whether a new book or dinner at a local restaurant.

An Economics Nobel awarded for Examining Reality

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This year’s economics Nobel Prize has gone to Oliver Hart and Bengt Holmström, for their work on the theory of contracts. It’s about incentives, and imperfect information, and long-term relationships. But it’s related to lots of real-world economic issues — performance pay, mergers and acquisitions, and bank lending.

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Maybe Supply-Side Economics Deserves a Second Look

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Since the Great Recession, macroeconomic discussion has been dominated by discussions of aggregate demand, and how to create more of it through monetary and fiscal policies. That has led to a strange state of affairs where those topics still dominate the debate, even though they’ve done the job economics expects of them.

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Data Geeks Are Taking Over Economics

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For a few decades, economists used to imagine how the world works, write down a theory describing their idea, and call it a day. If some statisticians came along and found some support for the theory, well, great! But usually they didn’t, and that was fine too. As one old joke put it, if an idea worked in practice, economists would ask whether it worked in theory.

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Overcoming Our Inordinate Fear of Inflation

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The harm of inflation cited in economics textbooks seems laughably unimportant. For example, inflation generates so-called shoe-leather costs — a term for the hassle of moving money from one’s brokerage or savings account to one’s checking account. This hassle is larger when prices change a lot, since you have to put spending cash in your wallet more often.

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