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Lasso
A new kind of PIM for eCommerce. Built for the AI era.
In 2026, AI raised the bar for product data everywhere. Companies are racing to stay visible in AI search and capture the promised efficiency gains. Lasso lets you run thousands of specialized AI agents across your catalog. Automatically enriching parameters, processing supplier data, monitoring competitors — at a scale no human team can match.
Hey Product Hunt! 👋
Jiri here, co-founder of Lasso.
We started out as a classic AI agency - building custom solutions for ecommerce clients across CEE. And over and over, we kept seeing the same problem: teams wasting hours copy-pasting product specs, writing descriptions manually, wrestling with messy supplier data. It was everywhere. So we stopped taking new agency projects and built the tool we kept wishing existed.
Lasso is AI-powered product data enrichment - it takes your raw or incomplete product data and automatically fills in missing attributes, rewrites descriptions for SEO and tone, classifies products into the right categories, and outputs clean, structured data ready for your PIM or feed.
It's built for:
- eCommerce managers drowning in catalog ops work
- Agencies handling product data for multiple clients
- Anyone migrating catalogs or onboarding new supplier feeds
- Developers and AI teams - we're actively working on a full API and MCP support, so if you need product data in your agents or automated pipelines, Lasso will plug right in
For the PH community: Lasso is freemium - get started for free, and if you want to go further, we're giving the PH community 20% off any paid plan. Just use "producthunt" when it asks you for gift code.
What I'd love most from you today is feedback. Specifically:
- Does the value prop land clearly?
- If you’re building agents or automations around product data, what would you need from an API/MCP integration?
Drop your thoughts below. Brutal honesty is very welcome. 🙏
Tested this on a sample catalog and the normalization + enrichment pipeline worked better than expected. Especially on inconsistent attribute structures.
Really like this one. Product data enrichment is one of those unsexy categories where the pain is enormous but nobody wants to talk about it at parties. hours lost to copy-paste, messy supplier feeds, descriptions written from scratch over and over. Solving it well is genuinely valuable.
Congrats on the launch, Jiri.
About Lasso on Product Hunt
“A new kind of PIM for eCommerce. Built for the AI era.”
Lasso was submitted on Product Hunt and earned 24 upvotes and 8 comments, placing #21 on the daily leaderboard. In 2026, AI raised the bar for product data everywhere. Companies are racing to stay visible in AI search and capture the promised efficiency gains. Lasso lets you run thousands of specialized AI agents across your catalog. Automatically enriching parameters, processing supplier data, monitoring competitors — at a scale no human team can match.
Lasso was featured in Developer Tools (511.7k followers), Artificial Intelligence (467.3k followers) and E-Commerce (41.4k followers) on Product Hunt. Together, these topics include over 172.4k products, making this a competitive space to launch in.
Who hunted Lasso?
Lasso was hunted by Jiri Stepanek. 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.
Want to see how Lasso stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Jiri Stepanek