They spent MILLIONS on this...

2026-03-03 · Source: Matthew Berman · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering, Emerging Technologies & Innovation · Depth: Intermediate, medium

Summary

My Fitness Pal recently acquired Cal AI, an AI-powered calorie tracking app, for an undisclosed sum, estimated to be in the eight to low nine figures. Cal AI allows users to photograph food or scan barcodes to estimate calorie and nutrient information. The author argues this acquisition reflects My Fitness Pal's misunderstanding of the evolving software landscape, as the core functionality of Cal AI can be replicated rapidly and at minimal cost using modern AI agents. The author demonstrated building a similar calorie tracking tool in under 20 minutes using OpenClaw, integrating Gemini Vision for food identification and storing data in SQLite. This contrasts with My Fitness Pal's history, including its 2015 acquisition by Under Armour for $475 million and subsequent sale at a $130 million loss to a private equity firm in 2020, suggesting a pattern of non-technical management failing to adapt to software industry shifts.

Key takeaway

For investors evaluating SaaS companies, particularly those in niche verticals, you should scrutinize the durability of their core functionality. Acquisitions of easily replicable apps, like My Fitness Pal's purchase of Cal AI, signal a potential misjudgment of market shifts towards AI agents, which can erode revenue streams and competitive advantages. Your due diligence must account for the rapid commoditization of software features.

Key insights

Core functionalities of many SaaS applications are rapidly becoming replicable by AI agents at near-zero marginal cost.

Principles

• Software functionality is no longer a durable moat.
• AI agents will consolidate vertical SaaS applications.
• Non-technical management struggles with software products.

Method

Leverage AI agents (e.g., OpenClaw, ChatGPT, Gemini Vision) to quickly build and integrate custom functionalities like calorie tracking from food photos, storing data, and calculating nutritional information.

In practice

• Build custom agent workflows for specific tasks.
• Integrate vision models for image-based data extraction.
• Utilize personal agents for health tracking.

Topics

• AI Agents
• Calorie Tracking AI
• SaaS Disruption
• Computer Vision
• Acquisition Strategy

Best for: Investor, Entrepreneur, AI Product Manager, CTO

Related on AIssential

• Is Software Dead? — AI's evolving capabilities are driving a market re-evaluation of traditional software business models.
• Why Is Google Spending So Much On AI? — Google is employing a multi-pronged financial and supply chain strategy to strategically eliminate OpenAI from the AI market.
• Vibecoding is becoming a deal-breaker test for software acquisitions — Vibecoding uses AI to replicate target software, assessing its competitive moat and influencing acquisition decisions.
• If enough other companies report the same, the bubble pops. 🫧 — Major companies are reporting poor AI return on investment and reliability issues, suggesting a potential market correction for overvalued AI ventures.
• 20VC x SaaStr is Back!! Tokens Over Humans, the End of the SaaSpocalypse, and the Trillion-Dollar Land Grab — AI-driven automation and token spending are fundamentally reshaping business models, investment, and workforce structures.
• The SaaS Destruction Map — The SaaS market is repricing due to AI agents breaking the per-seat pricing model.

Open in AIssential →

Editorial summary, takeaway, and curation by AIssential. Original article published by Matthew Berman.