This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Product upvotes vs the next 3
Waiting for data. Loading
Product comments vs the next 3
Waiting for data. Loading
Product upvote speed vs the next 3
Waiting for data. Loading
Product upvotes and comments
Waiting for data. Loading
Product vs the next 3
Loading
InVariants (Beta)
Explore your data's shape with TDA, ML & AI — no code
InVariants is a no-code data platform that combines Topological Data Analysis, Machine Learning, and dimensionality reduction — and lets you export trained models as ready-to-run Python bundles. Run persistent homology, Mapper graphs, clustering, anomaly detection, time series analysis, and ML training. We're looking for beta testers. Try it free at invariants.tech.
We built InVariants to address a gap we kept encountering in data analysis workflows: standard statistical methods and classical ML describe what is in the data, but struggle to capture the underlying structural patterns — especially in high-dimensional, noisy, or topologically complex datasets.
Topological Data Analysis (TDA) was the answer, but it has historically required significant mathematical background and custom engineering to apply in practice. InVariants brings TDA into a no-code workspace alongside ML training, dimensionality reduction, anomaly detection, and time series analysis — so practitioners can explore data structure without writing a single line of code.
Key capabilities in the current beta:
• Persistent homology and Mapper graphs with AI-powered interpretation
• ML training with SHAP explainability, PDP/ICE plots, and model export as a self-contained Python bundle
• Anomaly detection, ARIMA forecasting, and rolling TDA for time series
• Full data preparation pipeline with undo history
We are actively looking for beta participants — particularly data scientists, analysts, and ML engineers working with complex or high-dimensional data. Access is free during the beta period.
Apply at invariants.tech — happy to answer questions here.
About InVariants (Beta) on Product Hunt
“Explore your data's shape with TDA, ML & AI — no code”
InVariants (Beta) was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #160 on the daily leaderboard. InVariants is a no-code data platform that combines Topological Data Analysis, Machine Learning, and dimensionality reduction — and lets you export trained models as ready-to-run Python bundles. Run persistent homology, Mapper graphs, clustering, anomaly detection, time series analysis, and ML training. We're looking for beta testers. Try it free at invariants.tech.
On the analytics side, InVariants (Beta) competes within Analytics, Artificial Intelligence and Data Science — topics that collectively have 647.1k followers on Product Hunt. The dashboard above tracks how InVariants (Beta) performed against the three products that launched closest to it on the same day.
Who hunted InVariants (Beta)?
InVariants (Beta) was hunted by Angel Ramos. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of InVariants (Beta) including community comment highlights and product details, visit the product overview.
Angel Ramos