This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Product upvotes vs the next 3
Waiting for data. Loading
Product comments vs the next 3
Waiting for data. Loading
Product upvote speed vs the next 3
Waiting for data. Loading
Product upvotes and comments
Waiting for data. Loading
Product vs the next 3
Loading
Linggen
The engine for AI-native apps — local, open-source, on Mac
Linggen is an open-source Mac app that runs AI apps locally. The lead app is a private CFO: drop in bank/card CSV or PDF exports and local code turns them into spend reports — trends, subscriptions, duplicate charges — with account numbers redacted before any AI sees them. Also inside: a music DJ with karaoke, a Mac health scanner, and cross-agent memory shared with Claude Code and Codex. Apps are markdown + HTML/JS on a Rust runtime. BYO model (OpenAI-compatible or Ollama) or free hosted tier.
Hi Product Hunt! I'm Leon, solo builder of Linggen.
I think the most useful AI apps won't live in the cloud — they'll run on your own machine, next to your own files, music, and finances. Linggen is my attempt at that: an open-source runtime (Rust daemon, Apache-2.0) that runs AI apps locally on your Mac. Apps are just markdown + plain HTML/JS — no build step, so you can read every line of what an app does before trusting it.
It ships with five apps:
• CFO — drop in bank/card CSV or PDF exports; local code parses them into spend reports (trends, subscriptions, duplicate charges), and account numbers are stripped before any AI sees a thing. The AI only explains — "why was May so expensive?"
• DJ — tell it a vibe, it builds the tracklist, grabs the audio, and syncs to your phone for offline play. Karaoke included.
• Sys Doctor — scans your Mac's health (disk, security, performance) and explains what it finds in plain language.
• Pulse — a personal trends radar for the topics and feeds you care about.
• Memory — cross-agent semantic memory that also works from Claude Code and Codex.
Bring your own model (any OpenAI-compatible endpoint or Ollama) or use the free hosted tier — no key setup.
Two things I'd love your take on: which of these would you actually use first? And what would it take for you to trust a local app with something as sensitive as your bank statements?
About Linggen on Product Hunt
“The engine for AI-native apps — local, open-source, on Mac”
Linggen was submitted on Product Hunt and earned 0 upvotes and 3 comments, placing #19 on the daily leaderboard. Linggen is an open-source Mac app that runs AI apps locally. The lead app is a private CFO: drop in bank/card CSV or PDF exports and local code turns them into spend reports — trends, subscriptions, duplicate charges — with account numbers redacted before any AI sees them. Also inside: a music DJ with karaoke, a Mac health scanner, and cross-agent memory shared with Claude Code and Codex. Apps are markdown + HTML/JS on a Rust runtime. BYO model (OpenAI-compatible or Ollama) or free hosted tier.
On the analytics side, Linggen competes within Productivity, Fintech and Artificial Intelligence — topics that collectively have 1.2M followers on Product Hunt. The dashboard above tracks how Linggen performed against the three products that launched closest to it on the same day.
Who hunted Linggen?
Linggen was hunted by Linggen. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Linggen including community comment highlights and product details, visit the product overview.
Linggen
Hi Product Hunt! I'm Leon, solo builder of Linggen.
I think the most useful AI apps won't live in the cloud — they'll run on your own machine, next to your own files, music, and finances. Linggen is my attempt at that: an open-source runtime (Rust daemon, Apache-2.0) that runs AI apps locally on your Mac. Apps are just markdown + plain HTML/JS — no build step, so you can read every line of what an app does before trusting it.
It ships with five apps:
• CFO — drop in bank/card CSV or PDF exports; local code parses them into spend reports (trends, subscriptions, duplicate charges), and account numbers are stripped before any AI sees a thing. The AI only explains — "why was May so expensive?"
• DJ — tell it a vibe, it builds the tracklist, grabs the audio, and syncs to your phone for offline play. Karaoke included.
• Sys Doctor — scans your Mac's health (disk, security, performance) and explains what it finds in plain language.
• Pulse — a personal trends radar for the topics and feeds you care about.
• Memory — cross-agent semantic memory that also works from Claude Code and Codex.
Bring your own model (any OpenAI-compatible endpoint or Ollama) or use the free hosted tier — no key setup.
Install (macOS Apple Silicon): curl -fsSL https://linggen.dev/install-app.sh | bash
Two things I'd love your take on: which of these would you actually use first? And what would it take for you to trust a local app with something as sensitive as your bank statements?