HN user

DavidCanHelp

150 karma

[ my public key: https://keybase.io/davidcanhelp; my proof: https://keybase.io/davidcanhelp/sigs/_df0XA510rpPbPhf2S2ddoUI925pwH31-FeGFfobVhE ]

Posts107
Comments67
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github.com 1mo ago

NMOX Studio is being built by Fable

DavidCanHelp
1pts0
github.com 1mo ago

Hacker News MCP Server

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4pts2
crates.io 2mo ago

Cargo Install Friend

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8pts6
github.com 2mo ago

What We Lost When Unix Won

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7pts0
www.war.gov 2mo ago

UFO File Not Found

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8pts2
github.com 2mo ago

Binary Serialization Survey

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1pts0
github.com 2mo ago

Red-teaming your own products without Mythos

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3pts1
red.anthropic.com 2mo ago

Anthropic has a Red Team page

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3pts0
github.com 2mo ago

The Cabinet of Wonders

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2pts0
github.com 2mo ago

Disposable Tools: Single user or single use tools

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3pts0
github.com 2mo ago

Show HN: Shell-MCP, per-directory shell allowlisting for Claude Desktop

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1pts0
mymood.tools 2mo ago

Show HN: MyMood.tools, a 3 axis mood tracker

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2pts0
crates.io 3mo ago

Show HN: Clock-MCP, stop guessing the time in AI

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1pts1
developerpod.com 3mo ago

Show HN: Developerpod, K-Cups for Code

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2pts0
github.com 3mo ago

Show HN: Bird, a CLI for Tired Brains

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7pts1
chromewebstore.google.com 3mo ago

Chrome Extension: Aftermark, your bookmarks are breadcrumbs

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1pts0
tortured-metaphor.github.io 3mo ago

Show HN: Gravity Garden, an Interactive Simulator

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2pts0
crates.io 3mo ago

Show HN: GitWell – Rust CLI that recovers abandoned intentions from Git history

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3pts1
davidcanhelp.github.io 3mo ago

Show HN: WarpField, a Visualizer

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3pts1
github.com 3mo ago

Wisp: WebAssembly Lisp

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25pts1
davidcanhelp.github.io 3mo ago

Unit: A self-replicating Forth mesh agent running in a browser tab

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46pts5
flutterby.app 4mo ago

Show HN: Flutterby, an App for Flutter Developers

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6pts1
devrelopers.github.io 4mo ago

OAuth-inspired delegated AI access stop sharing raw API keys

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3pts1
slarchive.com 4mo ago

Show HN: FOSS Slack Archive Viewer and Exporter

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2pts2
cloudstreet-dev.github.io 4mo ago

Show HN: Tools Are Lying to You

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4pts1
davidliedle.github.io 5mo ago

Show HN: DriftDB, a Time Travel DB Written in Rust

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1pts0
cloudstreet-dev.github.io 5mo ago

Open Source Book: Let Erlang Crash

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2pts0
cloudstreet-dev.github.io 5mo ago

The Model Context Protocol Book

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2pts0
crates.io 5mo ago

Show HN: CLI Rust tool gitorg helps manage GitHub orgs

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1pts0
github.com 5mo ago

Show HN: Steam and Autism, a book by Opus 4.6

DavidCanHelp
1pts1

Built this yesterday as a quick tool to solve a problem I've seen since 2017 — Slack exports are essentially unreadable JSON blobs with no good way to browse them.

SlArchive processes everything client-side in the browser using JSZip. Your export never touches a server. Drop the ZIP, browse channels, DMs, and threads, search across everything, then export to HTML, Markdown, or JSON if you need to migrate to another platform.

It's a single HTML file, MIT licensed, source at https://github.com/devrelopers/slarchive. Contributions welcome.

I'm a senior developer on medical leave who wanted to contribute to the community. I used Claude to help create the programming guides I wished existed - carefully prompting for content about languages I've worked with extensively. People were engaging positively with the Perl book before it was flagged. If there are specific technical issues with the content, I welcome that feedback via issues or PRs. But dismissing all AI-assisted content as 'slop' regardless of quality or utility seems shortsighted, especially as these tools become part of how we create and share knowledge.

I'm sharing a work product, just one that used a power tool. You didn't use that power tool to make my work product, I did. That's why people are curious - they want to see what was made. I'm an experienced Elisp programmer, among many other things. I'm curious what Claude Code Opus 4.1 has to say on the topic, aren't you? Why the hell anyone would try to get rich off a book on Perl or Lisp shared under CC0 in an open community is beyond me, but maybe -- just maybe -- somebody wants to read it? It's free. And open source. If that matters.

More context: haters are saying LLM generated content is bad. As a Senior Full Stack Developer with over 26 years of pro experience, I'm having the time of my life with these new AI powers and the doors and discussions they open. People are upvoting. I'm personally not getting anything from this open source sharing. You're the one calling spam. When you pay 200 a month to max your claude code output and really hunker down, think twice before you share its work. Not everyone understands.

These are all open source github repos. Claude code came up with the commit messages; I'm guiding the tone and content. I read it as it is generated, and review it. I recommend getting a folder with claude code, codex cli, or gemini cli, and tell it it's an author writing a book. Once you've done the work, you'll know how much is human and how much is machine. Moot point amongst all the haters. I'm hoping some more PRs will come in and this content will evolve into a new form of media we collaborate on together.

I often tell Claude Code: "You're an author writing about..." and really dial in the content. When it says it was written by an author who _blank_, that author is a combination of my prompts and Opus 4.1's generated output. I would argue that there is a place for guides, opinions, and more from our LLM friends, and I don't make a penny telling you that or sharing what I've generated. I create these kinds of works because I value them, and the stars on the github repo tell me other people value them too. Take, for example "React is Awful" with over 300 stars. It fills a gap in the learning space, and is CC0. You can OPEN A PR if it's wrong about something, or contribute more. Seemed pretty chill to me.

Fixes Applied:

  1. AI Self-Crashing Bug - Increased collision buffer zones and improved trail detection
  2. Linux Dependencies - Added comprehensive installation instructions for Debian/Ubuntu, Fedora, and Arch

  Improvements Made:

  - AI now skips 30 recent trail points (up from 10) to avoid self-collision
  - Increased look-ahead distances for all difficulty levels
  - Fixed trail collision detection in pathfinding
  - Added full Linux dependency documentation

  The AI should now survive much longer and provide a better challenge. And thank you for the two PR's!