Looker
Tableau
Microsoft Power BI
Sisense
Domo
Qlik
QlikSense
Google Analytics
ShadowValue
TradingView
Seeking Alpha
FinViz
Finviz Insider Trading
Investing.com
BloombergView
Fey
Looker is a business intelligence platform with an analytics-oriented application server that sits on top of relational data stores. The Looker platform includes an end-user interface for exploring data, a reusable development paradigm for creating data discovery experiences, and an extensible API set so the data can exist in other systems. Looker enables anyone to search and explore data, build dashboards and reports, and share everything easily and quickly.
ShadowValue is an AI-powered investment analysis platform designed to help investors, analysts, and financial professionals evaluate stocks with clarity and discipline.
Instead of relying on fragmented data, opinions, or emotional reactions, ShadowValue generates structured analysis based on measurable financial factors such as valuation, growth, profitability, and risk.
At the core of the platform is ShadowScore — a proprietary 0–100 rating system that summarizes the overall quality and attractiveness of a stock. Each company includes a clear Buy, Hold, or Sell verdict, valuation assessment (cheap, fair, expensive), risk flags, and an easy-to-understand AI-generated report.
ShadowValue helps users:
• Analyze companies in seconds using AI • Identify overvalued and undervalued stocks • Monitor portfolio risk and hidden exposures • Receive real-time alerts when ratings or risk change • Make consistent, data-driven investment decisions
The platform is designed for individual investors, portfolio managers, and financial professionals who want structured investment research without spending hours analyzing financial statements.
ShadowValue replaces guesswork with structure — helping investors make smarter decisions with confidence.
Looker ShadowValueShadowValue's answer:
ShadowValue replaces fragmented financial data and emotional decision-making with a single structured investment framework.
Instead of forcing investors to interpret dozens of metrics, ShadowValue generates a clear ShadowScore (0–100), valuation assessment, risk flags, and an easy-to-understand Buy, Hold, or Sell verdict.
This allows users to understand a company’s quality, valuation, and risk in seconds — without guesswork.
Unlike traditional stock screeners, ShadowValue doesn’t just show data. It delivers a decision-ready analysis
ShadowValue's answer:
Most investment platforms provide data, charts, and news — but leave the final interpretation to the user.
ShadowValue goes further by transforming complex financial data into structured, actionable investment intelligence.
Users can quickly identify overvalued stocks, hidden risks, and high-quality opportunities without spending hours analyzing financial statements.
ShadowValue helps investors make disciplined, consistent, and data-driven decisions instead of emotional ones.
ShadowValue's answer:
ShadowValue is designed for individual investors, financial analysts, and investment professionals who want structured, AI-powered investment research.
It is especially useful for long-term investors who focus on fundamentals, valuation, and risk management.
Both beginners and experienced investors use ShadowValue to improve decision clarity and consistency.
ShadowValue's answer:
ShadowValue was created to solve a common problem in investing, information overload and emotional decision-making.
Most investors rely on fragmented data, opinions, and news, which often leads to inconsistent and emotional decisions.
ShadowValue was built to provide a structured, objective approach using artificial intelligence to analyze companies and generate clear investment signals.
The goal is to help investors replace guesswork with discipline and data-driven clarity.
ShadowValue's answer:
ShadowValue is built using modern web technologies and artificial intelligence, including:
• Advanced AI models for financial analysis • Cloud infrastructure for scalability and real-time processing • Financial data integrations for accurate market insights • Modern frontend technologies for fast and responsive user experience
The platform is designed for reliability, speed, and scalability.
ShadowValue's answer:
ShadowValue is currently used by individual investors, independent analysts, and early adopters focused on AI-driven investment research.
As the platform grows, it continues to expand its user base globally.
Based on our record, Looker seems to be more popular. It has been mentiond 14 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Then in the "foldername" you can have 5 folders, each one for each of the groups. This means that when group1 enters looker.com, his default page will be the "foldername", which contains group1folder (he cannot see the rest of the folders if you have set the permissions correctly for each folder). Source: over 3 years ago
Even if you want to make Wide Tables, combining fact and dimensions is often the easiest way to create them, so why not make them available? Looker, for example, is well suited to dimensional models because it takes care of the joins that can make Kimball warehouses hard to navigate for business users. - Source: dev.to / almost 4 years ago
We take daily snapshots of test results, aggregate them, and send Looker dashboards to the appropriate teams. - Source: dev.to / over 4 years ago
Dashboard: I like to use Datastudio because it's easy (just like using google sheets), but you can also try out Looker. Source: over 4 years ago
For Growth and larger, I would recommend Looker. The only reason I wouldn't recommend it for the smaller company stages is that the cost is much higher than alternatives such as Metabase. With Looker, you define your data model in LookML, which Looker then uses to provide a drag-and-drop interface for end-users that enables them to build their own visualizations without needing to write SQL. This lets your... - Source: dev.to / over 4 years ago
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