Integrate Product hunt with BigML to automate workflows, sync data between apps, and eliminate repetitive tasks with AI-powered automation.
Create Anomaly Score in Bigml when Product Featured on Product Hunt on Product Hunt
Create Centroid using BigML when Product Featured on Product Hunt on Product Hunt
Create Prediction in BigML when Product Featured on Product Hunt on Product Hunt
Find Resource in Bigml when Product Featured on Product Hunt on Product Hunt
List Sources from BigML when Product Featured on Product Hunt on Product Hunt
Start from a real workflow other teams are already running.
Product hunt
When this happens...
Product Featured on Product Hunt
BigML
Automatically do this!
Create Anomaly Score
Create Centroid
Create Prediction
Find Resource
List Sources
List Datasets
List Sample
List Model
List Time Series
List Evaluations
List OptiMLs
List Clusters
List Anomaly Detectors
List Predictions
List Batch Predictions
List Forecasts
List Anomaly Scores
List Batch Anomaly Scores
List Topic Distributions
List Batch Topic Distributions
List Projections
List Batch Projections
List Scripts
List Executions
Create Anomaly Score in Bigml when Product Featured on Product Hunt on Product Hunt
Use this flowCreate Centroid using BigML when Product Featured on Product Hunt on Product Hunt
Use this flowCreate Prediction in BigML when Product Featured on Product Hunt on Product Hunt
Use this flowFind Resource in Bigml when Product Featured on Product Hunt on Product Hunt
Use this flowList Sources from BigML when Product Featured on Product Hunt on Product Hunt
Use this flowList Datasets from BigML when Product Featured on Product Hunt on Product Hunt
Use this flowList Sample from BigML when Product Featured on Product Hunt on Product Hunt
Use this flowList Model from BigML when Product Featured on Product Hunt on Product Hunt
Use this flowList Time Series from BigML when Product Featured on Product Hunt on Product Hunt
Use this flowList Evaluations from BigML when Product Featured on Product Hunt on Product Hunt
Use this flowEverything you can automate between Product hunt and BigML.
When this happensTriggers
A trigger is an event that starts a workflow.
Runs when a product is featured on the Product Hunt homepage.
Triggers when a new resource is created
Action is the task that follows automatically within your Product hunt integrations.
Retrieve recent Product Hunt posts with options to filter by date range, topic, sort order, featured status, and include product website links.
Calculates the anomaly score of a data instance.
Find out the closest cluster to your data instance
Predict using a model , logistic regression or deepnets
Finds a resource
Get all the sources.

Follow a simple walkthrough to create, test, and launch your first automation.
Connect your apps
Link the apps you want to automate.
Configure your workflow
Set up triggers, actions, and map your data.
Test & publish
Test your workflow and publish it.
Recognized by leading review platforms and trusted by 10,000+ businesses worldwide.
Just describe the task in plain English. viaSocket AI selects the right apps, builds the workflow, maps the fields, and prepares everything for review before you publish.

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Producthunt is a platform that surfaces the best new products, every day. It’s a place for product-loving enthusiasts to share and geek out about the latest mobile apps, websites, hardware projects, and tech creations.
Learn moreBigML is a leading machine learning platform that provides a wide range of tools and services for creating, deploying, and managing machine learning models. It offers an intuitive interface and powerful APIs to help businesses and developers harness the power of machine learning for predictive analytics, anomaly detection, clustering, and more.
Learn moreSign up for a free viaSocket account, then authorize both your Product hunt and BigML accounts. From there, pick a trigger in one app and an action in the other. Your first workflow can be live in under five minutes.
Yes. viaSocket uses instant triggers where available, so data moves between Product hunt and BigML as soon as the event happens. Scheduled polling triggers run at a maximum interval of 15 minutes.
Yes. You can map specific fields, apply filters to skip records that do not match your conditions, and transform values before they reach BigML. No coding required.
Yes. You can set up a workflow where Product hunt triggers actions in BigML, and a separate workflow where BigML triggers actions in Product hunt. Both run independently and in real time.
viaSocket logs every run so you can see exactly what succeeded and what failed. Failed tasks can be retried from the dashboard without re-configuring the workflow.
Yes, there is a free plan that covers basic workflows between Product hunt and BigML. Paid plans unlock higher task limits, faster polling, and advanced features like multi-step workflows and conditional logic.
No. The entire Product hunt and BigML integration is built through a visual, point-and-click interface. Code blocks are available if you want them, but they are never required.