
CircleBoom
twtData
TweetFeast
Xtract Replies
ThreatCop
ExportData.io
Fedica
TweetExporter turns any public Twitter/X data into a clean spreadsheet. Export follower and following lists, a profile's tweets, or every tweet matching a search query and date range. Download as CSV, Excel or JSON. Buy credits once and pay per row

Agentmemory
Mem0
Stop re-explaining your project to Claude every session. ContextForge adds persistent memory to Claude Code, Cursor, and Copilot via MCP. Free tier, 3-minute setup.

Which is more popular?
Based on our record, ContextForge.dev seems to be more popular. It has been mentioned 2 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | tweetexporter.com | contextforge.dev |
| Pricing | ||
| Platforms | — | |
| Company | Startup from the United States | Startup from the United States · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of TweetExporter yet.
ContextForge is persistent, searchable memory for AI coding agents — built on the Model Context Protocol (MCP). Your AI assistant forgets everything when the session ends. ContextForge fixes that: save architectural decisions, naming conventions, and debugging context once, and any MCP client...
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


No analysis of TweetExporter yet.
Overall verdict
Why this product is good
Recommended for
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How to Make Claude Run Automated Workflows (ContextForge Skills Tutorial)
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As answered by people managing TweetExporter and ContextForge.dev.
TweetExporter's answer
TweetExporter is built for one-off exports, not subscriptions. Most Twitter/X data tools lock exports behind a monthly plan you'll use twice. TweetExporter charges per exported row from a prepaid credit balance: you see a cost estimate before ordering, you pay only for rows actually delivered, and unused credits never expire. No API keys, no developer account, no recurring bill.
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.
TweetExporter's answer
Because you probably don't need a subscription — you need one clean spreadsheet. Competitors like Circleboom or TweetBinder are monthly-plan suites; TweetExporter does the export and gets out of your way. You get honest pricing (charged only for delivered rows, the rest refunded to your balance), large exports handled properly (chunked Excel/CSV/JSON, zipped), and 50 free credits to test it without a credit card.
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.
TweetExporter's answer
Marketers and community managers auditing an audience, researchers and journalists collecting tweet datasets for analysis, OSINT analysts, and founders sizing up a competitor's followers. In short: anyone who needs public X data in a spreadsheet occasionally — not as a monthly workflow.
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.
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.
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.
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Recommendations tracked on public social media and blogs since March 2021.


Tracking TweetExporter since Aug 2026.
Init links the folder to a project, so every agent working in that repo reads and writes the same memory, and it adds the rules that make sessions check who else is live before big changes. For Cursor, Copilot, Claude Desktop and... - Source: dev.to / 15 days ago
I built ContextForge because I was losing this argument with my own agents several times a week. The idea is small: when we decide something, the agent saves the decision with the reason, in the project's memory. The next session, in... - Source: dev.to / 29 days ago
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