A no-code ML tool MVP that transforms tabular data into insights with no coding or knowledge. Perfect for non-technical users looking to dive into data analysis without the steep learning curve of ML. Effortless Data Cleaning & Smart ML/Trend Discovery

OP here. I made this app for quick data analysis on your spreadsheets and Google Sheets. You can ask questions like: 1. Run linear regression to predict Y variable given X inputs 2. Tell me the top 5 movies that had the highest ratio of revenue to votesYou can also do Data Analysis in BI mode by doing specific tasks such as filtering, cleaning, merging, and visualizing. You can even write SQL code that runs directly on the spreadsheets.Each step in BI mode can use results from a previous step, so you can have a repeatable workflow for your data analysis. You can then generate a report that you can share.This uses the Open AI API. We can install a custom LLM backend for you, and install this app on your servers if you have security concerns.Looking forward to having people try it out :)

DataCog is an AI-powered data analytics platform designed to empower businesses to make data-driven decisions, regardless of their technical expertise.

I built out an automatic machine learning platform called Heimdall ML which helps anyone quickly deploy machine learning models to production.At a high level, my platform will:Ingest your data as a .csv file, clean up any irregularities and prepare the data for modeling, build the most Optimal model for you use case, show you a results report to show both the performance and biases associated with your model, create an API endpoint to help you build new experiences with your modelThe cool thing about my platform is that it allows you the ability to embed machine learning into your platform with ease. You have the ability to fully customize your experience to wow you customers. I built this entire platform by myself from scratch and am looking to grow the user base!The tool is completely FREE for hobby users! You can crunch some pretty large datasets (80 columns, 10K rows) with just the free version. If you have a use case that needs some big data processing, you will have to reach out to me directly so I can help set up a good plan for you. The reason for this is because the project is completely self funded and I want to be able to control the costs.I was inspired to create this platform while I was in grad school because many of the firms giving us talks would talk about how they had teams of engineers who build out pipelines to bring a model to production. I personally believe there can be an easier way.

Hi everyone,I recently built out an automatic machine learning tool to help democratize the use of machine learning. The goal of the project is to help small-medium size businesses incorporate machine learning into their ecosystem without having to spend a lot of time and capital on building out a data science team.I did some market research and I didn't find any tools that were user friendly or that didn't have a huge cost of entry. The whole idea is that someone who has a base understanding on technology should be able to come into the tool, drop in some data, and then build their own custom experience based on the model created on their data.I made the user interface as easy as possible to navigate but it still needs some work. Here is a high level summary of the workflow: import your data as a .csv file, choose the column that you want to predict, let Heimdall work its magic, save your model, enable your model with an API key, and voila! You are ready to build your own experience with Heimdall!Currently Heimdall accepts numerical and single word data but I am currently working on adding in sentence structure support. I have been working on this project as a hobby and using my own funds so the compute is limited. I have successfully built models that have around 30 columns and 20K rows. I understand this may not be good enough for the giant conglomerates but my mission is to help digitize everyday small businesses.I would love for you to sign up and check out Heimdall! The awesome thing is that none of the original data is being stored anywhere. The only thing that gets stored is the names of the columns and the associated weights. You can always choose to anonymize the names of the columns to add in for additional security.I am looking forward to any and all feedback. Thank You for your time.Best, Joel Reji

Hi HN! I’m Eoin, founder of Sourcetable (https://sourcetable.com).Sourcetable is an AI-native spreadsheet that syncs with all your data. Users pair with an AI copilot that helps them do their spreadsheet work, as well as more database-centric analysis and SQL.Soucetable syncs with databases including Postgres, MySQL, and MongoDB, and over 100+ business applications including Stripe, Zendesk, Hubspot, Quickbooks and Google Analytics. That data is available in a spreadsheet, and any models you build automatically update in near-real-time as new data flows in. The core primitives are AI + spreadsheet + data sync + storage + compute.If you want to play with Sourcetable today, the easiest way is to upload a CSV and start asking questions.Who is it for? Sourcetable is for analysts, operators and finance folk doing data-centric work in a spreadsheet. Sourcetable’s spreadsheet-based AI assistant understands workbook range selection and can adjust scope context to the datasets you are working with. You can talk directly to your database and SaaS integrations, which is great for analysis, data search and retrieval, SQL writing & editing (including writing joins across different datasets), and automatic chart creation.Niching down, if you work in operations at a <50 person startup or SMB and your company relies on a Postgres or MySQL database, Sourcetable is an affordable reporting tool with turnkey data infrastructure that doesn’t require code or engineers to set up.Spreadsheets are the most used analytical tool on the planet. AI is a platform shift with broad applications. We are staying open-minded about users and use cases since everything is so new.Backstory: I spent ten years working in de-facto operations and technical roles at startups. Sourcetable draws from that experience of needing better data tooling inside spreadsheets, and constantly hacking ad hoc solutions to fill the gap. Andrew (CTO / co-founder) previously had a deep learning company and was initially drawn to the idea that Sourcetable could be an operating system for the web. We’re both Aussie expats in the Bay Area, which is how we met. Internally, we think of Sourcetable as an application platform, with AI applications being a useful and interesting place to focus.Features & Use Cases: Talk to your CSV files, spreadsheets, integrations, and datasets using LLMs. AI + data work: Text-to-SQL, search and retrieval from databases, LLM-based data analysis. (This is an entirely different experience to what Copilot/Gemini & Excel/Sheets provide, since they are thin workbooks and not data platforms.) AI + spreadsheet work: formula assist, workbook analysis, data cleaning, chart creation, error handling, summarization, chat, etc. Automated reporting: data is synced, reports you build stay up to date. No-code data access: give the business team safe database access so they will leave you alone! Centralizing data for cross-channel reporting. (e.g. Postgres + Stripe + Mailchimp) Analyzing large CSV files: Sourcetable can handle multi-gigabit files. (Google Sheets can’t handle large data and the experience in Excel is rather cumbersome.)Technical Details: Sourcetable was built to be fast. It was also built to scale.AI: LLama 3 (via Groq), Claude, GPT-4o, LiteLLM, custom LLMsFrontend: DuckDB, React, ShadCN, AntV / Bizcharts, Plotly, CodeMirror, HookstateBackend: DuckDB, Python, Cassandra, Redis, NGINX, CloudflareData Eng & Transformations: Fivetran, DBT, Apache Arrow, SQLglotDistributed Computing & Scaling: Daft, Ray, Cloud FormationOther: Linux Namespaces, Dill (U.Queensland)A huge thank you to the open source community, and a special shout-out to DuckDB for being so damn fast. Thank you also to Groq & Anthropic for the rate limit increases in time for this ShowHN post!–Feedback: Product feedback is welcome! eoin@sourcetable.com

Hello!So, I am experimenting with new approaches to automated machine learning, where you don't need anything besides either data or promptThis is a first platform from my auto ml serie called Łukasiewicz (Jan Łukasiewicz was a logician who created Polish notation)I much appreciate your feedback and if you want to try it out, I created a -75% off promo code "HACKERNEWS" on credits, so it hopefully will cover at least some of computing expenses, but more importantly will let you play with the platform at almost no costThank you!

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 external services via API, or some another helpful script, our tool aims to make the process seamless.Just today, I was once again impressed when I managed to obtain a scoring ML-model by sending the initial data right during a work meeting, all thanks to our little project!Here's a small demo: https://youtu.be/fE1Yg0rcWM8I would greatly appreciate your thoughts. Could this be interesting to other users? What features should we add to enhance convenience and versatility?

Tired of all these complex tools in the market when you’re just looking to turn your spreadsheets into graphs? We got you. No complex BS features you have to pay for, no coding skills, no high-tech language.

Hey guys,I’m a uni undergraduate pursuing my bachelors in data science and I’ve taken a keen interest in working with LLMs to generate data visualisations easily.I’ve recently noticed that GPT doesn’t allow a lot of generations due to its rate limiting and to counter this I’ve made a tool which utilises GPT API(bit of an overkill tbh) to process prompts and provide an output (with option to modify those outputs as well)I hope you guys like it and feel free to give me any advise or feedback about running this app.https://www.sheetbot.ai/

I started building this tool with Flutter six months ago due to the lack of an easy-to-use, free, and cross-platform spreadsheet automation tool. You might think of Power Query, but it's too complicated and lacks a mobile version. Tablesmith also provides built-in AI features. Feel free to try it out and share your thoughts!

Instantly turn spreadsheets into dashboards powered by live data and auto-distribute up-to-date reports to Slack, email, and Slides - all in a few clicks. Drag and drop to add cells, tables, and charts. Add context with text and AI-generated summaries.