Theysaid VS ContextForge.dev

Theysaid's answer

Most surveys are dull and only scratch the surface. TheySaid turns surveys into conversations, asking real-time follow-ups, revealing the why behind every answer. This gives revenue leaders sharper visibility into customer needs, fueling faster, more confident business decisions that drive growth.

ContextForge.dev's answer:

ContextForge is memory that lives at the MCP layer, so it works across every AI coding agent at once — Claude Code, Cursor, GitHub Copilot, ChatGPT, and Windsurf — not just one. Save a decision once and any client recalls it later with semantic search. It goes beyond a note store: automatic git sync turns your commits and PRs into searchable knowledge, plus task tracking, snapshots, and team sharing — all through a single MCP server you add with one command.

Theysaid's answer

Most survey tools stop at collecting answers, giving leaders surface-level data that’s hard to act on. TheySaid turns feedback into real conversations with smart follow-ups, capturing the why behind customer behavior. This means revenue leaders don’t just get data, they get clear action items: what to improve, where to double down, and how to reduce churn. And with insights delivered 10x faster, they can act quickly to capture growth opportunities and make confident business decisions.

ContextForge.dev's answer:

Most memory tools are tied to a single agent or are just a key-value store. ContextForge is MCP-native, so it's portable across all your AI tools; it adds git sync so your codebase history becomes searchable context automatically; and it includes team features (shared spaces, collaborators) that solo-memory tools lack. Setup is one command, there's a genuine free-forever tier with no credit card, and paid plans start at just $9/month.

Theysaid's answer

TheySaid is built for B2B leaders who rely on customer insights to drive growth. Our primary audience includes Customer Success teams, Revenue leaders, Product managers, and Marketing executives at SaaS and subscription-based businesses. They use TheySaid to uncover authentic customer sentiment, strengthen retention, and identify expansion opportunities.

ContextForge.dev's answer:

Software developers and engineering teams who use AI coding assistants — Claude Code, Cursor, GitHub Copilot, ChatGPT, Windsurf — and are tired of re-explaining their project, architecture, and conventions every session. It fits solo developers working across multiple projects as well as small teams that need shared, persistent context.

Theysaid's answer

Surveys were dead. Customers ignored them, response rates tanked, and leaders were left making decisions on scraps of data. Lihong Hicken and Chris Hicken saw the gap and built TheySaid, the first AI-powered conversational survey that actually listens. With AI interviews, live polls, and user testing alongside surveys, TheySaid captures the why behind every answer and instantly translates insights into clear action items. For revenue leaders, that means faster decisions, smarter growth moves, and insights delivered 10x quicker than any traditional tool.

ContextForge.dev's answer:

ContextForge was born from a simple frustration: AI coding agents forget everything the moment a session ends. Every new conversation meant re-explaining the same architecture, naming conventions, and past decisions. ContextForge was built to give AI agents a permanent, searchable memory through the Model Context Protocol — so knowledge is captured once and reused forever, across sessions and projects. It even dogfoods its own memory to help build itself.

Theysaid's answer

TheySaid leverages advanced AI (natural language processing, machine learning, and generative AI), cloud infrastructure, and secure integrations with popular CRM and HR systems to deliver fast, scalable, and reliable insights.

ContextForge.dev's answer:

Next.js 16 (App Router), React and Tailwind CSS for the dashboard, hosted on Vercel. Supabase (PostgreSQL) with pgvector powers the semantic vector search, and Deno edge functions serve the API. Embeddings use OpenAI text-embedding-3-small. The MCP client is a Node.js package (contextforge-mcp) on npm, implementing the Model Context Protocol.