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CodeinCloud VS Equibles

Compare CodeinCloud VS Equibles and see what are their differences

CodeinCloud

CodeinCloud is the comprehensive IDE on the cloud by which you can connect your Live Servers through SSH Connection and your hosting directories with FTP access and Enjoy the Live Developments with beautifully designed code :)

Rating
0 reviews
Alternatives Is it good?
Equibles

Research US stocks — search SEC filings, hear earnings calls, and track 13F, insider & congress trades. Plus ALVIS, an AI analyst that cites every number.

Rating
0 reviews
Pricing
Open source Freemium $24.99 / Monthly (Pro — Founding Member price; $49.99 after promo)
Alternatives Is it good?
Lucris
Financial decision-making for Shopify brands, connecting sales and marketing to show what drives profit - and what to do next. sponsored

Base details

Website, pricing, platforms and company facts side by side.

CodeinCloud
Equibles
Website codeincloud.net equibles.com
Pricing
Official pricing
Open source Freemium $24.99 / Monthly (Pro — Founding Member price; $49.99 after promo) Official pricing
Platforms —
Web SaaS
Company — Startup from Portugal · 1 - 9 employees · 2025
Listed in —
Financial Data APIs Stock Market Finance Developer Tools Fintech Investing Trading Stocks Finance Data API +6

About CodeinCloud and Equibles

In their own words, as submitted to SaaSHub.

CodeinCloud
Equibles

No description of CodeinCloud yet.

Equibles is a US stock research platform that turns SEC filings, earnings calls, and regulatory disclosures into structured, verifiable data. Every US stock page includes: Financial statements and company-specific KPIs extracted from XBRL filings, with non-GAAP bridges Earnings calls with audio...

Read more about Equibles

Features and specs

What each product offers, as listed by its team.

CodeinCloud 5 features
Equibles 10 features
  • Cloud-based development
    CodeinCloud offers a cloud-based coding environment, allowing developers to write, run, and manage code from anywhere without needing to set up a local development environment.
  • Accessibility
    Being web-based, the platform can be accessed from various devices and locations, making it convenient for remote work and collaboration across teams.
  • No local setup required
    Users can start coding quickly without installing IDEs, compilers, or dependencies on their own machines, which lowers the barrier to entry for beginners.
  • Potential for collaboration
    Cloud platforms often support real-time collaboration features, enabling multiple developers to work together on the same codebase efficiently.
  • Scalability
    Cloud infrastructure can typically scale resources up or down based on project needs, which is helpful for handling varying workloads.

Possible disadvantages

  • Internet dependency
    As a cloud-based service, it requires a stable internet connection to function, which can be a limitation in areas with poor connectivity or during outages.
  • Limited information available
    There is relatively little publicly available detail about the platform's specific features, pricing, and reliability, making it harder to evaluate thoroughly.
  • Data privacy concerns
    Storing code and projects on a third-party cloud raises potential security and privacy considerations, especially for sensitive or proprietary projects.
  • Potential performance limitations
    Cloud-based environments may experience latency or performance constraints compared to a powerful local development setup, depending on the service tier.
  • Vendor lock-in
    Relying on a specific cloud platform may make it difficult to migrate projects elsewhere, creating dependency on the provider's continued operation and pricing.
  • AI Stock Analyst
    ALVIS answers plain-English questions with interactive charts and cites every figure to the source filing
  • MCP Server
    Connect Claude, ChatGPT, or any MCP client to 90+ US finance data tools
  • REST API
    Public JSON API with API-key authentication covering the full dataset
  • SEC Filings Search
    Full-text search and AI Q&A across 10-K, 10-Q, 8-K, proxies, and more
  • Earnings Calls
    Audio playback, speaker-attributed transcripts, and AI-generated briefs
  • Financials & KPIs
    XBRL-extracted statements, segment revenue breakdowns, non-GAAP bridges, and guidance
  • Ownership Data
    13F institutional holdings, insider (Form 4) trades, and congressional trades
  • Short Data
    Short interest, daily short volume, fails-to-deliver, and squeeze scores
  • Stock Screener
    Screen US stocks across fundamentals, ownership, and price data
  • Macro Data
    FRED economic indicators, CFTC positioning, put/call ratios, and VIX history

Analysis

An editorial look at what each product does well and who it suits.

CodeinCloud
Equibles

Overall verdict

  • I don't have verified, up-to-date information about CodeinCloud (codeincloud.net) to confidently assess its quality, reliability, or reputation. I cannot find reliable details about its features, pricing, user reviews, or business legitimacy in my training data, and I'm unable to browse the internet to check current information.

Why this product is good

  • Insufficient verified information available about this specific service to make reliability claims
  • No confirmed data on user reviews, uptime, customer support quality, or pricing structure
  • Cannot verify company legitimacy, ownership, or how long it has been operating
  • Unable to confirm security practices, data handling policies, or compliance certifications

Recommended for

  • Not able to provide a recommendation without additional verified information
  • Suggest checking independent review sites like Trustpilot, G2, or Reddit for user experiences
  • Consider verifying through domain registration lookups (e.g., WHOIS) for company transparency
  • Look for verifiable customer testimonials, uptime guarantees, and clear refund/support policies before committing
  • If considering this service, test with a small trial or free tier first if available before committing to a paid plan

No analysis of Equibles yet.

Questions & Answers

As answered by people managing CodeinCloud and Equibles.

What makes your product unique?

Equibles's answer:

Equibles extracts the answers raw data feeds skip — company-specific KPIs (subscribers, deliveries, ARPU…), forward guidance, and non-GAAP bridges — from SEC filings and earnings calls, and every figure is cited back to the source document.

The same dataset is available three ways: the website, ALVIS (an AI analyst that answers with charts and citations), and an MCP server + REST API so Claude, ChatGPT, or your own code can work with primary-source data directly.

Why should a person choose your product over its competitors?

Equibles's answer:

Most market-data products stop at standardized statements and prices. Equibles adds the layer investors actually open filings for:

  • Company-specific KPIs, guidance history, and non-GAAP reconciliations extracted from the source documents
  • Earnings calls with audio and speaker-attributed transcripts
  • 13F institutional, insider (Form 4), and congressional ownership data, cross-linked per stock
  • A free MCP server so your AI assistant works with the same primary-source data

There is a usable free tier, and every number links back to the filing it came from.

What's the story behind your product?

Equibles's answer:

Equibles started in 2025 from a simple frustration: AI assistants talk about stocks confidently while being disconnected from the primary sources. So we built the data layer first — pipelines that continuously ingest and structure SEC filings, earnings calls, and ownership disclosures — and then put ALVIS (an AI analyst) and an MCP server on top, so both people and their AIs get answers that cite the underlying document.

How would you describe the primary audience of your product?

Equibles's answer:

  • Individual investors and analysts researching US equities who want numbers they can trace to a filing
  • AI-forward users who want Claude, ChatGPT, or another assistant grounded in primary-source financial data via MCP
  • Developers building finance tools on a JSON REST API

Which are the primary technologies used for building your product?

Equibles's answer:

  • Backend: .NET / ASP.NET Core with EF Core and MassTransit background pipelines
  • Database: PostgreSQL with pgvector (embeddings) and BM25 full-text search
  • AI: LLM extraction lanes with independent validation passes, plus self-hosted embedding and transcription (Whisper) models
  • Frontend: server-rendered MVC with Tailwind CSS; React for the ALVIS chat
  • Infra: Docker Compose; the modular data foundation is open source on GitHub

User comments

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