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
Product comments vs the next 3
Product upvote speed vs the next 3
Product upvotes and comments
Product vs the next 3
Logrun Lab
Supplier Catalog Normalizer for CSV & XLSX
Normalize one supplier CSV or XLSX product table, review mapping and diagnostics, then download a normalized CSV, optional Shopify-format CSV and Diagnostics XLSX.
About Logrun Lab on Product Hunt
“Supplier Catalog Normalizer for CSV & XLSX”
Logrun Lab was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #145 on the daily leaderboard. Normalize one supplier CSV or XLSX product table, review mapping and diagnostics, then download a normalized CSV, optional Shopify-format CSV and Diagnostics XLSX.
On the analytics side, Logrun Lab competes within Productivity — topics that collectively have 665.4k followers on Product Hunt. The dashboard above tracks how Logrun Lab performed against the three products that launched closest to it on the same day.
Who hunted Logrun Lab?
Logrun Lab was hunted by ISM ISM. 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 Logrun Lab including community comment highlights and product details, visit the product overview.
Hi Product Hunt!
I built Supplier Catalog Normalizer for a recurring ecommerce problem: supplier CSV/XLSX files rarely use the same structure.
One supplier may call a field “SKU”, another “Item #”, another “Product Code”. Titles, prices, descriptions, image URLs and categories may also live in different columns or sheets.
The tool lets you:
choose the source sheet and header row;
review and edit detected column mappings;
exclude blank or non-product rows;
export a normalized catalog;
export a Shopify-format CSV;
download diagnostics for rejected rows and mapping decisions.
I wanted the transformation to stay visible rather than becoming a black box, so mappings are always reviewable and editable.
It is designed as a focused first step before importing supplier data into an ecommerce catalog.
The current public version is free and does not require registration.
I’d be interested in feedback from people who regularly work with supplier feeds, product catalogs or marketplace imports.