Software Alternatives & Startups

https://open-gpt.app/ VS Equibles

Compare https://open-gpt.app/ VS Equibles and see what are their differences

https://open-gpt.app/

Create ChatGPT Application in seconds

Rating
0 reviews
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)

Base details

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

https://open-gpt.app/
Equibles
Website open-gpt.app equibles.com
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 —

About https://open-gpt.app/ and Equibles

In their own words, as submitted to SaaSHub.

https://open-gpt.app/
Equibles

No description of https://open-gpt.app/ 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.

https://open-gpt.app/ 5 features
Equibles 10 features
  • Accessible AI Chat Interface
    Provides a user-friendly web-based interface for interacting with GPT-based AI models without needing to set up API access or coding knowledge.
  • No Installation Required
    Being a web application, it can be used directly from a browser without downloading or installing any software.
  • Potentially Free or Low-Cost Access
    Many GPT wrapper sites like this offer free tiers or lower-cost access compared to official API pricing, making AI chat more accessible to casual users.
  • Quick Setup
    Users can typically start chatting almost immediately after visiting the site, with minimal account creation or configuration steps.
  • Cross-Platform Compatibility
    Since it runs in a browser, it can be accessed from various devices including desktops, tablets, and smartphones without platform-specific versions.

Possible disadvantages

  • Uncertain Reliability
    Third-party GPT wrapper websites often depend on underlying API access that can be unstable, rate-limited, or discontinued without notice, affecting consistent availability.
  • Data Privacy Concerns
    Using an unofficial third-party service to process conversations raises questions about how user data and conversation history are stored, used, or shared.
  • Limited Transparency
    It may be unclear which underlying AI model version is being used, how up-to-date it is, or what modifications have been made to the base model's behavior.
  • Potential Hidden Costs or Ads
    Free-to-use AI wrapper sites often monetize through ads, premium upsells, or data collection, which may not be clearly disclosed to users upfront.
  • Lack of Official Support
    Unlike official AI platforms, unofficial wrapper sites may lack dedicated customer support, regular updates, or accountability if issues arise.
  • 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.

https://open-gpt.app/
Equibles

Overall verdict

  • I don't have verified, up-to-date information about open-gpt.app, and I'm unable to browse the internet to check its current status, reputation, or legitimacy. I cannot confidently vouch for or against this specific product/service.

Why this product is good

  • I lack real-time access to verify this website's current content, reputation, or user reviews
  • Domain names and their associated services can change ownership and purpose over time
  • Without verification, I cannot confirm if this is a legitimate service, its features, or its safety
  • There are many similarly-named AI tools of varying quality and trustworthiness, making specific verification important

Recommended for

  • Before using this site, research current user reviews on trusted platforms
  • Check the site's SSL certificate, privacy policy, and terms of service
  • Look for verified information about the company or developers behind it
  • Consider well-established alternatives like ChatGPT (OpenAI), Claude (Anthropic), or Gemini (Google) if you need reliable AI assistance
  • Exercise caution with any site requesting payment or personal information without clear verification of legitimacy

No analysis of Equibles yet.

Questions & Answers

As answered by people managing https://open-gpt.app/ 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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