Why Platforms Can't Build What You Need
Understanding the technical constraints that prevent custom attribution, complex workflows, and marketing logic that fits your strategy
Research Sources
1. No-Code/Low-Code Market Analysis (Gartner 2023)
Finding: $26.9 billion market in 2023 with 19.6% growth, demonstrating massive adoption despite technical constraints. Low-code application platforms represent $10 billion subset, highlighting enterprise demand for faster development.
Source: Gartner (2022) • Press release
2. AI Agent Performance on Visual Tasks (VisualWebArena 2024)
Finding: Visual agents achieve only 16.4% success rate vs 88.7% for humans, demonstrating fundamental limitations of GUI-based automation that affect no-code platform capabilities and reliability when AI attempts to work through visual interfaces.
Source: Koh et al., ACL 2024 • arXiv paper • Project page
3. Text-Based AI Agent Performance (SWE-bench 2025)
Finding: Claude Sonnet 4.5 achieves 77.2% success rate on real-world software engineering tasks through direct code execution, demonstrating the performance gap between code-first and platform-based approaches.
Source: Anthropic Engineering (2025) • Official report
4. Bubble Platform Technical Limitations (Official Documentation)
Finding: Bubble enforces hard limits including workflow timeouts after 5 minutes and 50,000 maximum results for sorted searches. Users cannot export source code, requiring complete rebuilds to migrate away from the platform.
Source: Bubble Documentation (2024) • Hard Limits
5. Webflow Custom Code Character Limit
Finding: Webflow allows up to 50,000 characters of custom code across site settings, page settings, and embed elements. Complex applications requiring more code must use external hosting workarounds, creating additional dependencies and complexity.
Source: Webflow Updates (2024) • Character Limit Update
6. No-Code Platform Vendor Lock-in Analysis
Finding: Vendor lock-in is a major recurring complaint across G2, Trustpilot, and community forums. Users report feeling "trapped" with no ability to export source code. Migration requires complete rebuilds taking 3-6+ months with costs often exceeding initial savings.
Source: G2 Reviews, Trustpilot, Community Forums (2024-2025) • Industry migration case studies
7. Computer Use Agent Benchmarks (OpenAI & Anthropic 2025)
Finding: OpenAI Operator: 38.1% success on OSWorld, Anthropic Computer Use: 22%. Even the latest GUI automation technology significantly underperforms compared to direct code execution, validating the limitations of platform-based approaches.
Source: OpenAI (2025) • Computer-Using Agent
Last updated: January 2025
For the complete analysis, see our comprehensive platform research document.
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