About

Hi! I’m Emilia Korczynska, head of marketing & co-founder of ZenABM: https://zenabm.com/ I spent seven years at Userpilot, a SaaS scale-up, most recently as VP of Marketing. We were spending seven figures on ABM through LinkedIn Ads, but I kept missing one thing: a tool designed specifically for running ABM on LinkedIn. I wanted to see which target accounts were engaging, act on those signals, and understand what was driving revenue - without stitching together spreadsheets and spending hours on manual reporting. So I started working on one with my husband, Michał. That’s how ZenABM began: with a problem I’d experienced firsthand, and the decision to build the tool I wished I’d had.

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Sugar Free 2.0 – our global evolution 🚀

First of all a huge thank you to everyone who supported our new Sugar Free 2.0 launch on 11.11.

Because of you, we hit Top 3 Product of the Day with our biggest update ever. Your support truly means the world to us.
Many of you also supported our original Sugar Free: Food Scanner last year and helped us reach #4 Product of the Year. You ve been with us from the start and you re the reason this project keeps moving forward.
As some of you know, I ve personally been avoiding added sugar for 8+ years. At some point, I got so obsessed with finding every hidden form of sugar that I ended up infecting my friends with this mission too and together we built a tiny prototype to detect hidden sugars.
That little idea has now grown into something much bigger.
Over the year, the scanner has grown into Sugar Free 2.0 an AI Nutrition Intelligence that that understands food globally. It reads any labels in any language and finds hidden sugar, E-codes, bad additives, toxins and allergens.
Unlike typical food apps, Sugar Free 2.0 doesn t rely on static databases.
If a product exists online anywhere in the world, it can:

find it
translate it
rebuild its ingredient list
detect hidden sugars, additives, toxins, allergens
and give a clear, simple verdict: Eat or Avoid
Sugar Free 2.0 runs on our proprietary AI model, trained on real scientific datasets (FDA, EFSA, WHO, etc). No myths just evidence-based clarity.
What Sugar Free can do now:
Scan any food label in any language;
Detect every form of hidden sugar (even behind 200+ names);
Spot harmful additives, E-numbers, INS codes, allergens;
Flag 500+ potential health risks;
Science-based food rating (1 10);
Plain-language Eat or Avoid guidance;
Full ingredient breakdown.
Even your grandma could use it and she probably should
HOW TO USE SUGAR FREE 2.0

Scan a barcode or snap a photo of any label

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