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Kalshi VS PostgresML

Compare Kalshi VS PostgresML and see what are their differences

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Contents:
  1. » Base Details
  2. » Reviews
  3. » Alternatives

Kalshi logo Kalshi

Kalshi is a regulated exchange & prediction market where you can trade on the outcome of real-world events. Buy and sell Event Contracts.

PostgresML logo PostgresML

You know Postgres.
Not present
  • PostgresML Landing page
    Landing page //
    2023-11-10

Kalshi features and specs

  • CFTC Regulated
    Kalshi is a federally regulated exchange overseen by the U.S. Commodity Futures Trading Commission, providing a level of legal legitimacy and consumer protection not found on many other prediction market platforms.
  • Legal in the U.S.
    Unlike many offshore prediction markets, Kalshi operates legally within the United States, allowing U.S. residents to trade on event contracts without navigating legal gray areas.
  • Diverse Market Topics
    Kalshi offers contracts across a wide range of categories including economics, politics, climate, and other real-world events, giving users many opportunities to trade on outcomes they have insight into.
  • User-Friendly Interface
    The platform is designed with a clean, modern interface that makes it relatively easy for both new and experienced traders to navigate markets, place trades, and track positions.
  • Direct Bank Transfers
    Kalshi supports direct deposits and withdrawals through bank transfers, making it convenient for U.S. users to fund accounts and cash out winnings without relying on cryptocurrency or third-party payment processors.

Possible disadvantages of Kalshi

  • Limited Market Availability
    Compared to global or offshore prediction markets, Kalshi's contract offerings can be more limited due to regulatory constraints, meaning some popular or niche event types may not be available.
  • Regulatory Restrictions on Content
    Because Kalshi must comply with CFTC regulations, certain types of contracts—especially those related to elections or specific political outcomes—have faced regulatory scrutiny or restrictions, limiting what can be traded at times.
  • U.S.-Only Focus
    Kalshi primarily serves U.S. residents, which limits accessibility for international users interested in participating in its markets.
  • Liquidity Issues in Niche Markets
    Some less popular contracts may suffer from lower trading volume, leading to wider spreads and difficulty executing trades at desired prices.
  • Learning Curve for New Traders
    While the interface is user-friendly, understanding how event contracts work, including pricing and settlement mechanics, may still pose a learning curve for individuals unfamiliar with prediction markets or derivatives trading.

PostgresML features and specs

No features have been listed yet.

Category Popularity

0-100% (relative to Kalshi and PostgresML)

Kalshi

PostgresML

Finance
100 100%
Finance
0% 0
AI
0 0%
AI
100% 100
Trading
100 100%
Trading
0% 0
Databases
0 0%
Databases
100% 100

User comments

Share your experience with using Kalshi and PostgresML. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, PostgresML seems to be more popular. It has been mentiond 7 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.

Kalshi mentions (0)

We have not tracked any mentions of Kalshi yet. Tracking of Kalshi recommendations started around Aug 2026.

PostgresML mentions (7)

  • AI-pipe: Pipeline for generating/storing embeddings from AI models to DB with data scraped from sites using custom scripts
    The web service supports generating embeddings from OpenAI and Ollama AI models. It also provides a fallback for users without access to AI models running on a remote server through PostgresML. - Source: dev.to / over 1 year ago
  • Better RAG Results with Reciprocal Rank Fusion and Hybrid Search
    That's outside of the database, though. This is more like what I had in mind -- I just found it: https://postgresml.org/. - Source: Hacker News / over 2 years ago
  • How Modern SQL Databases Are Changing Web Development - #4 Into the AI Era
    Some excellent tools were created to represent these tasks "naturally" in SQL and even let most of the computation happen inside the database. PostgresML is a great example. It's built above PostgreSQL and provides a set of functions that allow you to train and use machine learning models with SQL. Here's how you can train a classification model for the classic handwritten digit recognition problem:. - Source: dev.to / over 2 years ago
  • A Year of Self-Hosting: 6 Open-Source Projects That Surprised Me in 2023
    PostgresML | You know Postgres. Now you know machine learning – PostgresML. - Source: dev.to / over 2 years ago
  • OpenAI Switch Kit: Swap OpenAI with any open-source model
    You can swap in almost any open-source model on Huggingface. HuggingFaceH4/zephyr-7b-beta, Gryphe/MythoMax-L2-13b, teknium/OpenHermes-2.5-Mistral-7B and more.If you haven't seen us here before, we're PostgresML, an open-source MLOps platform built on Postgres. We bring ML to the database rather than the other way around. Source: almost 3 years ago
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What are some alternatives?

When comparing Kalshi and PostgresML, you can also consider the following products

Polymarket - Bet on current events. Get tomorrow's news, today.

Talk To Your Data App - Tak to your data in natural language, no technical skills required. PostgreSQL, MySQL, HubSpot, Mailchimp & many more SaaS platforms. Get instant answers, visualizations & insights.

PredictIt - Education & Reference

Pinecone - Search through billions of items for similar matches to any object, in milliseconds. It’s the next generation of search, an API call away.

Alphascope.app - 10,000+ traders use Alphascope to find edges in prediction markets. AI-powered signals, news impact analysis, and real-time alerts. Free to start.

ChatWithCloud AI - Chat with your AWS Cloud from Terminal. Talk to your Cloud, literally.

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