AtlasGrid - Accelerate Product Iteration

https://www.youtube.com/watch?v=W-VDeXPeNCA

TLDR

AtlasGrid automatically builds a visual graph of your mobile app UI and displays analytics directly on your screens. Additionally, our fleet of AI-powered agents will continuously analyze thousands of mobile apps, gathering design insights and identifying growth opportunities and actionable product improvements.

The Problem

Product teams today operate in an increasingly fragmented environment. As organizations scale, documentation becomes scattered across PRDs, design files, JIRA tickets, and BI dashboards.

The lack of an up-to-date data dictionary causes analysts to have to track down subject-matter experts or ask engineers to audit the code to confirm the implementation of events. Designers creating new experiment variants find it hard to understand what users do on their existing screens before changing them (“I wish Figma had a data mode”). There’s often no single, authoritative ‘source of truth’ file for the interface design that can be referenced to understand what a user actually sees, and in some cases, there is no Figma file at all (as designers adopt tools like Cursor to prototype). Oftentimes, product personnel resort to manually annotating Figma files with analytics found in their BI tools, or manually screenshotting parts of their own app.

These obstacles make it difficult to form a coherent, end-to-end understanding of a complex app. As a result, teams operate with partial or conflicting information, leading to missed growth opportunities.

Introducing AtlasGrid, an easy way to see your data in context

AtlasGrid uses an AI agent to go through your iOS and Android app, building a graph of the app architecture. It captures your analytics events, and builds a searchable graph of your app. You can easily find app screens, flows, events and even see funnel + CTA conversion rates directly on your UI. This makes it easy to get answers to questions like “which upsells drive most of my trials” or “where am I losing most of my users in onboarding”. By tracking changes across every version of your app, every feature flag, we will become a source of truth for your product development cycle.

Our Vision

AtlasGrid is building towards a future in which generative design is commoditized, and the primary differentiator for teams will be performance. How quickly they can identify opportunities, ship improvements, and measure results. Our platform will integrate directly with AI code-generation tools, enabling developers to rapidly launch design variations suggested by “the grid,” dynamically reconfiguring their app for growth.

We believe the future of product development is self-improving applications, as more stages of today’s iteration process become automated. AtlasGrid will accelerate one of the most costly and time-consuming parts of that lifecycle.

Our founding team

Oleg Kostour is a 2nd time YC founder and Waterloo alum. He founded Pair (YC W12), a messaging app that received 10M installs and reached the top charts in the iOS social networking category. He closed 2 acquisitions - with Dropbox, then Life360 - and ran the Growth team at Life360 from ~3M rMAU through to their IPO (~90M MAU).

Anton Krutiansky is a second-time YC founder, Waterloo alum, and former tech lead at Dropbox. He co-founded Pair (YC W12) and played a key role in its acquisition by Dropbox. At Dropbox, he served as a tech lead on growth and mobile teams, building growth and experimentation infrastructure and leading mobile engineering across several product teams.

Aram Aghababyan was an Engineer at Meta Superintelligence Labs, developing the AI training platform for managing data and compute resources for ML training jobs. Prior to Meta, he specialized in data center infrastructure for large-scale software-defined networks at Insieme Networks (later acquired by Cisco).