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Alternatives

Products that do what Predictobot, predictive modeling made easy does

Predictobot lets you build a predictive model without any programming. You upload a spreadsheet of data, specify the column you want to predict, and it automatically builds a predictive model for a regression or classification problem based on the other columns. You download a new spreadsheet, with the model right in the Excel formulas. That lets you make predictions going forward. Other services like this are really aiming at helping programmers to build models. I wanted to make something that a regular non-programmer could use, to get insight into their data. It is open for registration…

  1. 1

    Predictive analytics tooling without any programming needed

    2021

  2. 2
    MakeML274

    Train Neural Networks without a line of code

    2019

  3. 3

    Create your own AI model using data in Google Sheets

    2025

  4. 4PI

    Hi HN! I’m Alex from Parabola (https://parabola.io). Parabola is a visual programming tool for creating functional data flows that everyone can use. It’s entirely drag-and-drop, handles data sizes much larger than a traditional spreadsheet, calculates everything live, and can run your flows on a schedule of your choosing. I used to work in strategy consulting, doing data analytics for SMBs and Fortune 500 companies. The amount of time wasted on menial tasks was astounding. Things like cleaning data, generating custom reports, creating human workflows to solve shortcomings in third…

    2018 · parabola.io

  5. 5
    MindsDB235

    In-database machine learning

    2022

  6. 6DA

    Dear HN, I am Riwaj, the cofounder of dstack.ai (https://github.com/dstackai). A few months ago, we built an online service that allows users to publish data visualizations from Python or R. The idea was to build a tool that did not require additional programming or front-end development for publishing data visualizations. Such a code can be invoked from either Jupyter notebook, RMarkdown, Python, or R scripts. Once the data is pushed, it can be accessed via a browser. Open-sourcing dstack: During our customer discovery phase, we realized that dstack.ai should integrate a lot…

    2020

  7. 7
    Forecastr222

    Get a great financial model, custom-built for your startup

    2023

  8. 8
    LockedIn134

    Fast, Accurate Forecasting with your Excel Data

    2024

  9. 9

    Make machine learning work for you, not the other way around

    2022

  10. 10

    Pre-trained computer vision models and public datasets

    2021

  11. 11

    The easiest way to build AI web apps

    2024

  12. 12
    Sheet0151

    YOLO mode comes to spreadsheets

    Nov 2025

  13. 13

    Build databases, automations, apps & agents with AI, no code

    Nov 2025

  14. 14

    This site will predict your future

    2016

  15. 15
    Fritz161

    Mobile machine learning made easy

    2018

  16. 16

    No-code AI predictions at one-click

    2021

  17. 17
    Keplr112

    Turn your datasets into prediction engines

    2016

  18. 18

    Take control of your startup runway and revenue projections

    2023

  19. 19

    Bring AI to your database

    2023

  20. 20CY

    Hi HN! Excited to show off the project we've been working on for the last couple months. We started with an idea for a crazy twist on prediction markets: You come up with a question for traders to predict, and then decide the outcome yourself. For example, you could create a market on “Will my date with [X] go well?” Anyone can bet on it, and the bets create a forecast on the chance your date goes well. After the date is over, you get to judge the result and reward the traders who picked the correct side. There are so many ways for this mechanism to go wrong: the creator of the market can be…

    2022 · manifold.markets

  21. 21SF

    I've made a small Python library, designed for quick-and-easy prototyping of machine learning models. It's built on top of scikit-learn, to serialize and deserialize data from the forms you're likely to have, to the format used in scikit-learn. https://github.com/madman-bob/Smart-Fruit It's pretty bare-bones at the moment, but I thought I'd see if there was any interest before spending too much time on it. Let me know what you think.

    2018

  22. 22
    Meqem71

    Forecasting time series data made easy 📈

    2018

  23. 23TS

    Hello Hacker News community! I'm currently working in financial risk management within the banking sector, and I began my career as a Data Science specialist. For quite some time, my friend and I have been developing a small pet project just for fun. This tool has repeatedly helped us save time when testing various hypotheses and machine learning models. The core idea is to combine different scripts—created in various programming languages and virtual environments—within a minimalist graphical interface. Whether you're building models, running a local neural network, or sending requests to…

    2024

  24. 24FS

    Hey HN! I’ve been building Fatebook for the past couple of months. It’s a slack bot to help your team make and track predictions, right where you work. I see forecasting as anti-bullshit technology: - It gives you truthseeking incentives - You communicate your uncertainty as a probability, which is way clearer (70% is better than “probably”) - You can aggregate forecasts to get wisdom of the crowd effects - You can see everyone’s track record, and pay more attention to people who are consistently accurate I’m a fan of prediction markets [0] and forecasting platforms [1]. But predictions on…

    2023 · fatebook.io

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