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Show HN: MIT OSS LinkedIn DMs for Agents (CLI and Example TUI)
A cost-effective, local-first alternative to expensive social media data access, specifically for LinkedIn DMs, enabling AI agents to manage communications. It positions reverse engineering as trivial with modern AI tools.
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AI Executive Synthesis
A cost-effective, local-first alternative to expensive social media data access, specifically for LinkedIn DMs, enabling AI agents to manage communications. It positions reverse engineering as trivial with modern AI tools.
This project targets a significant developer pain point: proprietary data lock-in and exorbitant API access costs for personal data. The "local-first" approach for LinkedIn DMs directly challenges platform control over user data, offering a pathway for individual data ownership and programmatic access. The use of "claudecode" for rapid reverse engineering underscores a disruptive trend: AI's ability to accelerate complex technical tasks, democratizing access to previously gated systems. This capability enables developers to build custom integrations and automation layers, bypassing traditional SaaS vendor dependencies. While the current implementation faces stability challenges due to platform "sharding / access," the underlying principle of leveraging AI for dynamic reverse engineering, facilitated by tools like Browserbase, signals a potent shift in how developers can interact with and extract value from closed ecosystems. This represents a nascent but powerful movement towards personal data liberation and AI-driven workflow automation.
I was tired of paying $100s/mo to access data I should own -- my own DMs on social media -- so I built Allman, a local-first cli to access linkedin messenger.Starting with LinkedIn, I gave the entire compiled js binary of linkedin's web app to claudecode and reversed engineered the entire messenger inbox in 24 hours. My goal is to bring this to all messengers so AI can handle all of this busywork, just like it can my email.I had also never built a TUI so I had claudecode build me one based on top of the local CLI and filesystem.Full repos:https://github.com/tarkaai/allman-clihttps://github.com/tarkaai/allman-tuiTheir sharding / access is brutal, so it'll likely break as-is -- but the point is that Reverse Engineering is trivial now (and can do it dynamically through browser access and dynamic playwright -- thanks Browserbase! ).Would love to hear your feedback and what I should build on it next.Shoutout to Eric Allman.
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Deep-Dive FAQs
What is MIT OSS LinkedIn DMs for Agents (CLI and Example TUI)?
MIT OSS LinkedIn DMs for Agents (CLI and Example TUI) is analyzed by our AI as: A cost-effective, local-first alternative to expensive social media data access, specifically for LinkedIn DMs, enabling AI agents to manage communications. It positions reverse engineering as trivial with modern AI tools.. It focuses on This project targets a significant developer pain point: proprietary data lock-in and exorbitant API access costs for personal data. The "local-fir...
Where did MIT OSS LinkedIn DMs for Agents (CLI and Example TUI) originate?
Data for MIT OSS LinkedIn DMs for Agents (CLI and Example TUI) was aggregated directly from the Hacker News community ecosystem, representing raw developer and early-adopter sentiment.
When was MIT OSS LinkedIn DMs for Agents (CLI and Example TUI) publicly launched?
The initial public indexing or launch date for MIT OSS LinkedIn DMs for Agents (CLI and Example TUI) within our tracked developer communities was recorded on May 16, 2026.
How popular is MIT OSS LinkedIn DMs for Agents (CLI and Example TUI)?
MIT OSS LinkedIn DMs for Agents (CLI and Example TUI) has achieved measurable traction, logging over 5 traction score and facilitating 0 recorded discussions or engagements.
Which technical categories define MIT OSS LinkedIn DMs for Agents (CLI and Example TUI)?
Based on metadata extraction, MIT OSS LinkedIn DMs for Agents (CLI and Example TUI) is categorized under topics such as: local-first cli, LinkedIn Messenger, compiled js binary, claudecode.
How does the creator describe MIT OSS LinkedIn DMs for Agents (CLI and Example TUI)?
The original author or development team describes the product as follows: "I was tired of paying $100s/mo to access data I should own -- my own DMs on social media -- so I built Allman, a local-first cli to access linkedin messenger.Starting with LinkedIn, I gave the enti..."
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Discovery Source
Hacker News Aggregated via automated community intelligence tracking.
Tech Stack Dependencies
No direct open-source NPM package mentions detected in the product documentation.
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Deep Research & Science
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