From English prompt to deployed ML model with human approval
OrchestraML turns plain English prompts into production-ready deployed ML models while keeping you in total control. Eight specialized agents handle datasets, clean data, engineer features, and train models via FLAML AutoML. Six strict checkpoint gates pause execution for your manual approval. You get a downloadable package with a pkl file and a predict.py script, or an instant live REST API. Safe, secure, encrypted dataset handling. Get two free pipelines daily.
Hey Product Hunt! 👋
I'm Sameer, an AI/ML student from India who built OrchestraML over
the past few months.
I was frustrated that AutoML tools either required paid subscriptions
or were too complex for students. So I built one from scratch with
a proper agentic pipeline and human-in-the-loop control.
The thing I'm most proud of is the AI Audit Trail - every decision
the AI makes is logged with plain English reasoning so students can
actually LEARN from what happened.
Would love your feedback! What features would make this more useful
for your ML workflow?
🔗 https://orchestra-ml.vercel.app
About OrchestraML on Product Hunt
“From English prompt to deployed ML model with human approval”
OrchestraML launched on Product Hunt on June 9th, 2026 and earned 82 upvotes and 2 comments, placing #24 on the daily leaderboard. OrchestraML turns plain English prompts into production-ready deployed ML models while keeping you in total control. Eight specialized agents handle datasets, clean data, engineer features, and train models via FLAML AutoML. Six strict checkpoint gates pause execution for your manual approval. You get a downloadable package with a pkl file and a predict.py script, or an instant live REST API. Safe, secure, encrypted dataset handling. Get two free pipelines daily.
On the analytics side, OrchestraML competes within Productivity, Developer Tools and Artificial Intelligence — topics that collectively have 1.6M followers on Product Hunt. The dashboard above tracks how OrchestraML performed against the three products that launched closest to it on the same day.
Who hunted OrchestraML?
OrchestraML was hunted by Sameer Prajapati. 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 OrchestraML including community comment highlights and product details, visit the product overview.