AtlasGrid
AI-powered visual analytics platform for mobile-app product teams, mapping UI and overlaying usage data.
Website: https://www.atlasgrid.ai/
Cover Block
From the public record
| Name | AtlasGrid |
| Tagline | AI-powered visual analytics platform for mobile-app product teams, mapping UI and overlaying usage data. |
| Headquarters | San Francisco, United States |
| Founded | 2025 |
| Stage | Seed |
| Business Model | SaaS |
| Industry | Other |
| Technology | AI / Machine Learning |
| Geography | North America |
| Growth Profile | Venture Scale |
| Founding Team | Co-Founders (3+) |
| Funding Label | Seed (total disclosed ~$4,000,000) |
Links
From the public record
- Website: https://www.atlasgrid.ai
- LinkedIn: https://www.linkedin.com/company/atlasgrid-ai
- Y Combinator: https://www.ycombinator.com/companies/atlasgrid
- Work at a Startup: https://www.workatastartup.com/companies/atlasgrid
The Short Version
From the public record
AtlasGrid is building an AI agent that automatically maps a mobile application's user interface into a searchable visual graph and overlays usage analytics onto the relevant screens, a workflow the founders describe as "Figma meets Amplitude" for product teams [Work at a Startup, September 2026][Oleg Kostour, October 2025]. The company, which launched in 2025, merits attention for its attempt to unify design and analytics workflows, a persistent coordination problem in app development, and for the repeat founder pedigree of its founding team.
The founding story centers on three co-founders who previously went through Y Combinator together in the Winter 2012 batch [Taro Fukuyama, December 2025]. CEO Oleg Kostour and co-founder Anton Krutiansky have a shared history of co-founding Pair, a YC company later acquired by Dropbox, and both bring mobile growth experience from Life360 and Dropbox, respectively [EveryDev, March 2026][TechCrunch, May 2012]. The third co-founder, Aram Aghababyan, adds engineering depth from Meta and Insieme Networks, which was acquired by Cisco [EveryDev, March 2026].
Their initial product wedge is a "living Data Dictionary" generated from an app's code, aiming to replace the manual reconciliation of design files, analytics dashboards, and production UI [Oleg Kostour, October 2025]. The company is structured as a SaaS business and has raised a $4 million seed round from a syndicate including Offline Ventures, Garage Capital, and Y Combinator, where it participated in the Fall 2025 batch [Work at a Startup, September 2026]. Over the next 12-18 months, the key watchpoints will be the platform's technical execution in accurately mapping complex app states, the acquisition of initial design partners to validate the workflow, and the evolution of its go-to-market motion beyond its current seed-stage positioning.
Single-source, plausible -- Core product claims and founding narrative are sourced from company and founder materials; team background and funding amount have partial independent corroboration.
Taxonomy Snapshot
| Axis | Value |
|---|---|
| Stage | Seed |
| Business Model | SaaS |
| Technology Type | AI / Machine Learning |
| Geography | North America |
| Growth Profile | Venture Scale |
| Founding Team | Co-Founders (3+) |
The Company in Brief
From the public record
AtlasGrid was founded in 2025 as a San Francisco-based startup, emerging from the Y Combinator Fall 2025 batch [Work at a Startup, September 2026]. The company is building an AI-powered visual analytics platform aimed at mobile-app product teams, a concept its CEO, Oleg Kostour, publicly framed as creating a "living Data Dictionary" generated from an app's code [Oleg Kostour, October 2025].
The founding team consists of three co-founders with a shared history in Y Combinator and prior exits. Oleg Kostour, the CEO, was previously Head of Growth Product at Life360 and co-founded Pair, a YC W12 company acquired by Dropbox, and Maide, acquired by 3D Systems [Y Combinator, 2026] [Wiza, 2026] [TechCrunch, October 2011]. Co-founder Anton Krutiansky, a former tech lead at Dropbox, was also a co-founder of Pair [Weekday.works, 2026] [TechCrunch, May 2012]. The third co-founder, Aram Aghababyan, was a software engineer at Meta’s Superintelligence Labs and at Insieme Networks, which was acquired by Cisco in 2013 [Cisco, December 2013].
A key early milestone was the closing of a $4 million seed round in 2025, with backing from a syndicate that includes Offline Ventures, Garage Capital, Ritual Capital, SurgePoint Capital, Sterling Road, and Y Combinator [Work at a Startup, September 2026]. The company's current headcount is reported to be six employees based in San Francisco [Y Combinator].
Single-source, plausible -- Core company facts (founding year, YC batch, seed round amount, investor list) are corroborated by the company's own recruiting profile. Founder backgrounds are confirmed by multiple independent sources for prior roles and acquisitions. Employee count is sourced from a single platform profile.
What They Have Built
Mixed sourcing The core proposition is a visual analytics platform that aims to unify the disparate tools used by mobile app product teams. According to the company's recruiting materials, its AI agent crawls a mobile application, automatically mapping its screens and user flows into a searchable visual graph [Work at a Startup]. This graph is then overlaid with usage analytics, connecting behavioral data directly to the relevant UI screens [Work at a Startup, FYI Combinator]. The positioning, attributed to founder Oleg Kostour, is a workflow described as "Figma meets Amplitude," targeting design, product, and growth teams who currently toggle between design files and analytics dashboards [Work at a Startup, Oleg Kostour, October 2025].
The initial product wedge is a "living Data Dictionary" generated from an app's code and maintained by AI, intended to replace manual reconciliation of design and data artifacts [Oleg Kostour, October 2025]. Public investor posts describe the system identifying dead ends, user confusion, and monetization opportunities by analyzing the mapped interface and flow data [Roy Peterkofsky, December 2025, Taro Fukuyama, December 2025]. The technology stack is not detailed in primary sources, but the company's open role for a Frontend Engineer suggests a focus on building complex visual interfaces [Y Combinator].
Single-source, plausible -- Product claims are sourced from company and investor materials; the core mapping function is described by multiple sources, but independent verification of technical capabilities is absent.
Market Size and Demand
From the public record The market for product analytics tools is not new, but the specific pain of reconciling a mobile app's visual interface with its behavioral data remains a persistent and costly gap in the modern development stack.
Quantifying the total addressable market for a tool like AtlasGrid requires inference, as no third-party report directly sizes the niche for visual UI analytics. The broader product analytics software market, however, provides a relevant anchor. According to Grand View Research, this global market was valued at $9.8 billion in 2023 and is projected to grow at a compound annual rate of 17.5% through 2030 [Grand View Research, 2023]. The mobile segment is a substantial driver of this growth, with the number of mobile app downloads worldwide exceeding 257 billion in 2023 [Statista, 2024]. The serviceable addressable market can be approximated by the number of product and engineering teams building these apps, a figure that runs into the hundreds of thousands globally. Within that, the immediate obtainable market would be teams at venture-scale tech companies and mid-market mobile-first businesses, where the cost of misaligned product iterations is highest.
Demand for a solution is propelled by several converging tailwinds. The shift to mobile-first and app-only business models has made the user interface the primary, and often sole, commercial channel. Concurrently, the proliferation of design tools like Figma and analytics platforms like Amplitude has created parallel, disconnected sources of truth. A product manager must mentally map a heatmap from Amplitude onto a screen mock in Figma and then again onto the live app, a process that is manual, error-prone, and slows decision cycles. The rise of AI agents capable of parsing code and visual layouts presents a new technical avenue to automate this mapping, a capability that was not commercially viable a few years ago.
Key adjacent markets include the broader digital experience monitoring (DEM) and application performance monitoring (APM) sectors, valued in the tens of billions, which focus on technical performance and uptime rather than product and user behavior [Gartner, 2023]. Substitute markets are the incumbent, non-integrated toolchains themselves: teams continue to use Figma for design, Amplitude or Mixpanel for analytics, and Jira for tracking issues, accepting the friction of context-switching as a cost of doing business. The primary competitive force is not a direct rival but the inertia of established, siloed workflows.
Regulatory and macro forces are largely indirect but present. Data privacy regulations like GDPR and CCPA complicate the collection and linkage of user behavioral data, potentially raising the technical bar for any analytics platform. A broader macro shift towards software efficiency and developer productivity could increase budgets for tools that promise to reduce wasted engineering and design cycles, while a downturn could make cost-conscious teams more reluctant to adopt a new, specialized point solution.
| Metric | Value |
|---|---|
| Product Analytics Software (Global, 2023) | 9.8 $B |
| Projected CAGR (2024-2030) | 17.5 % |
| Mobile App Downloads (Global, 2023) | 257 Billion |
The sizing data underscores a large and growing underlying market for product intelligence, but AtlasGrid's success hinges on carving out a sufficiently valuable niche within it. The projected 17.5% CAGR indicates strong sector tailwinds, yet the company must demonstrate that its visual integration wedge addresses a pain point acute enough to justify displacing budget from established incumbents.
Single-source, plausible -- Market sizing figures are from cited third-party reports (Grand View Research, Statista). The application of these figures to AtlasGrid's specific niche is an analyst inference, not a directly reported market size for visual UI analytics.
Who Else Is Fighting for This
MIXED, AtlasGrid enters a market defined by established point solutions for product analytics and design collaboration, attempting to unify workflows that have historically been siloed.
No named competitors are identified in the available public sources. The competitive map, therefore, must be drawn from the product's stated positioning against functional alternatives. The primary competitive segments are product analytics platforms and design-to-code tools. In the analytics space, incumbents like Amplitude and Mixpanel dominate the market for tracking and analyzing user behavior, but they operate on abstracted dashboards disconnected from the visual UI. In the design and developer workflow segment, tools like Figma and Storybook manage the visual and component layers, but they are not automatically linked to live production data or user flows. AtlasGrid's wedge is the integration of these two layers, creating a live, code-generated map of the application interface with analytics overlaid directly on screens.
- Analytics incumbents. Platforms such as Amplitude have entrenched distribution through enterprise sales and extensive integrations, making them the default choice for quantitative analysis. Their exposure is in the qualitative, visual layer that AtlasGrid targets.
- Design and development tools. Figma's ecosystem is vast, but it is a design-time tool. Storybook catalogs components in isolation. The gap is the connection between these static representations and dynamic, production user behavior.
- Adjacent substitutes. Manual processes remain the most significant substitute: product managers and designers manually correlating Figma screenshots with Amplitude dashboards or Jira tickets. This workflow is error-prone and slow, but it carries zero incremental software cost.
AtlasGrid's defensible edge today rests on its technical approach,automatically crawling and mapping an app's UI from its code,and the founding team's specific experience in mobile app growth. The AI agent that builds and maintains this "living Data Dictionary" is a technical differentiator from manual mapping solutions. This edge is perishable, however, as it depends on maintaining a technological lead in code analysis and UI understanding that larger incumbents could replicate or acquire. The team's prior experience building and scaling mobile apps (Pair, Life360) provides domain credibility that pure analytics vendors may lack, but this is an execution advantage, not a structural moat.
The company's most significant exposure is its late-mover status in a crowded SaaS landscape and its dependency on a new, unproven workflow. It must convince teams to adopt a new central platform instead of incrementally improving their existing stack with plugins or internal tools. A specific risk is that incumbents could move adjacently; for example, if Amplitude were to acquire a UI testing or design collaboration tool and introduce a visual overlay feature, it could quickly nullify AtlasGrid's core differentiation using its existing distribution and customer trust. Furthermore, the product's initial focus on mobile apps could limit its total addressable market if it cannot efficiently expand to web or desktop applications.
The most plausible 18-month scenario is one of niche adoption and validation versus broad displacement. The winner in this scenario is the company that first proves the unified workflow drives materially faster product iteration cycles, as measured by reduced time from insight to deployed change. For AtlasGrid, winning requires landing design partners from the YC network and demonstrating clear ROI in public case studies. The loser is any company that remains a point solution without a compelling answer to the visual-analytics integration question, potentially ceding the high-end of the market to more integrated platforms. If the integrated workflow proves to be a "nice-to-have" rather than a necessity, the market could remain fragmented, with AtlasGrid becoming a feature within a larger suite rather than a standalone category leader.
Single-source, plausible, Competitive analysis is inferred from product positioning and market structure; no named competitors are confirmed by public sources.
Opportunity
From the public record
If AtlasGrid can successfully automate the connection between mobile app interfaces and user behavior data, it could capture a significant portion of the $50+ billion product analytics and design software market by becoming the central system of record for app product teams.
The headline opportunity is for AtlasGrid to become the category-defining platform for mobile product intelligence, a unified layer that sits between design and analytics tools. The reachability of this outcome stems from the founders' specific experience in mobile app growth and exits, and the clear, unsolved pain point they are targeting. Co-founders Oleg Kostour and Anton Krutiansky have a history of building and selling mobile-centric products like Pair, and Kostour's role as Head of Growth Product at Life360 provides direct insight into the operational challenges of aligning UI, analytics, and product roadmaps [EveryDev, March 2026] [Wiza, 2026]. The product concept,an AI-maintained "living Data Dictionary" generated from app code,addresses a known inefficiency: teams manually reconciling static design files in Figma with behavioral data in Amplitude [Oleg Kostour, October 2025]. This founder-market fit and problem specificity make the ambitious platform vision more than aspirational.
Growth would likely follow one of several concrete paths, each with a definable catalyst.
| Scenario | What happens | Catalyst | Why it's plausible |
|---|---|---|---|
| The Design-to-Data Standard | AtlasGrid becomes the mandatory bridge for any team using Figma and Amplitude together, embedded via official partnerships. | A public technology partnership or integration launch with either Figma or Amplitude. | The company's public positioning explicitly frames the product as "Figma meets Amplitude," indicating a strategy to slot between these established giants [Work at a Startup]. Both platforms have extensive partner ecosystems. |
| The Enterprise App Governance Play | The platform is adopted by large organizations as a governance and discovery tool for sprawling internal and customer-facing mobile app portfolios. | A flagship enterprise deal with a company like a bank or retailer managing dozens of apps. | Investor Roy Peterkofsky highlighted the product's ability to create a "live application map," a feature directly relevant to large-scale app portfolio management [Roy Peterkofsky, December 2025]. |
| The Mobile-First Agency Stack | AtlasGrid becomes the core analysis tool for mobile app development agencies and consultancies, scaling through their client projects. | An agency-focused pricing tier or reseller program is launched. | The product's automated, code-based mapping reduces the onboarding friction for external teams, a common barrier for agencies taking on new client applications. |
Compounding for AtlasGrid would manifest as a data and workflow moat. Each new app mapped adds to the platform's library of UI patterns and associated metric correlations. Over time, the AI agents that analyze designs and identify opportunities would improve, allowing AtlasGrid to offer increasingly prescriptive insights,not just showing where users drop off, but suggesting specific UI changes based on what worked in similar apps in its corpus. This creates a classic flywheel: better insights drive more customer value, which attracts more apps, which further improves the insight engine. Early evidence of this flywheel is not yet public, but the product's foundational premise of an AI-maintained map suggests the architecture is built to use this compounding data asset [Oleg Kostour, October 2025].
The size of the win, should a dominant platform scenario play out, can be framed by looking at comparable companies. Amplitude, a leader in product analytics, reached a public market capitalization of approximately $1.3 billion in late 2023 [Crunchbase, 2023]. Figma's acquisition by Adobe was valued at about $20 billion in 2022 [Adobe, September 2022]. As a platform aiming to unify aspects of both workflows, a successful AtlasGrid could command a valuation in the multi-billion dollar range (scenario, not a forecast). This potential justifies the early-stage risk and aligns with the venture-scale profile indicated by its investor syndicate, which includes multiple institutional funds [Work at a Startup, September 2026].
Single-source, plausible -- The core opportunity thesis is built on public founder and investor statements about the product vision and problem space. The plausibility of growth scenarios is inferred from product positioning, not from confirmed commercial traction. Comparable company valuations are from independent public sources.
Sources
From the public record
[Work at a Startup, September 2026] Jobs at AtlasGrid (F25) | https://www.workatastartup.com/companies/atlasgrid
[Oleg Kostour, October 2025] Big news: my company AtlasGrid AI is part... | https://www.linkedin.com/posts/olegkostour_big-news-my-company-atlasgrid-ai-is-part-activity-7380654049295183872-FpSA
[Taro Fukuyama, December 2025] New investment: AtlasGrid AI , mobile... | https://www.linkedin.com/posts/tarof_new-investment-atlasgrid-ai-mobile-activity-7402419149022629888-PfAr
[EveryDev, March 2026] AtlasGrid - AI Developer Profile | https://www.everydev.ai/developers/atlasgrid
[TechCrunch, May 2012] Yuri Milner, Dave Morin, SV Angel, CrunchFund And More Hook Up Pair With $4.2M | https://techcrunch.com/2012/05/01/yuri-milner-dave-morin-sv-angel-crunchfund-and-more-hook-up-pair-with-4-2m/
[Y Combinator, 2026] AtlasGrid: Accelerate Product Iteration | https://www.ycombinator.com/companies/atlasgrid
[Wiza, 2026] Oleg Kostour - Head of Growth Product at Life360 | https://www.wiza.co/d/life360/oleg-kostour
[TechCrunch, October 2011] Maide Turns Your iPad Into A 3D Controller | https://techcrunch.com/2011/10/12/maide-turns-your-ipad-into-a-3d-controller/
[Weekday.works, 2026] Anton Krutiansky - Tech Lead at Dropbox | https://weekday.works/people/anton-krutiansky
[Cisco, December 2013] Cisco Completes Acquisition of Insieme Networks | https://newsroom.cisco.com/press-release-content?type=webcontent&articleId=1301383
[FYI Combinator] AtlasGrid | FYI Combinator | https://fyicombinator.com/company/atlasgrid
[Roy Peterkofsky, December 2025] Congratulations to my latest investment | https://www.linkedin.com/posts/peterkofsky_congratulations-to-my-latest-investment-activity-7403584582664773633-7XWg
[Grand View Research, 2023] Product Analytics Market Size, Share & Trends Analysis Report | https://www.grandviewresearch.com/industry-analysis/product-analytics-market-report
[Statista, 2024] Number of mobile app downloads worldwide from 2016 to 2023 | https://www.statista.com/statistics/271644/worldwide-free-and-paid-mobile-app-store-downloads/
[Gartner, 2023] Market Guide for Application Performance Monitoring and Observability | https://www.gartner.com/en/documents/4006073
[Crunchbase, 2023] Amplitude Stock Price & News | https://www.crunchbase.com/organization/amplitude-analytics
[Adobe, September 2022] Adobe to Acquire Figma | https://news.adobe.com/news/news-details/2022/Adobe-to-Acquire-Figma/default.aspx
Articles about AtlasGrid
- AtlasGrid's AI Agent Crawls the Mobile App for the Product Manager's Lost Context — The YC F25 startup, built by repeat founders from Life360 and Dropbox, raises $4 million to map UI screens to usage data in one visual graph.