Recent submissions

Comment · 4 months ago
The registry is now public. Every rock shipped to date with its certified weight and sequential number. Total mass redistributed: 1,332.6 g, measured on NTEP legal-for-trade equipment (±0.5 g) before each rock leaves. Fulfillment continues indefinitely.
Comment · 7 months ago
A service that makes re-registration impossible.

Exit permanently. Device fingerprinted. Email hashed. Payment method flagged. All future signup attempts are blocked.

How it works: Triple verification on every signup attempt. If any identifier matches an exit record, registration is rejected. The ban is permanent.

Technical details: - FingerprintJS for device tracking - SHA-256 email hashing - Stripe payment fingerprinting - Indexed database lookups for instant ban checks

Free 7-day trial. Then $9 for permanent exit or $99 for ceremonial exit with physical artifact (US only).

The service functions as specified. Once you exit, you cannot return.

Comment · 8 months ago
Comment · 9 months ago
I use LLMs (mostly Claude Code) slot for development, but I regularly stuck before the code in the ideation and planning phase. Text-only planning feels too vague, and jumping straight into Figma or specs felt like overcommitting when ideas are still fuzzy.

I built a small system for myself about a year ago: a set of simple ASCII wireframe patterns plus some workflow instructions that I load into an LLM. The goal is to give both me and the model a shared visual language so we can reason about flows, screens, and constraints early, without pixels or long prose.

As a concrete example, I used this workflow to think through an iOS app concept called Still Human — a small app designed to add a pause before opening AI tools. The result is this spec: https://gist.githubusercontent.com/currentlycurrently/2dfbaf...

It’s a full handoff-style document: ASCII wireframes, user flows, edge cases, data model, and implementation notes. Rough, but coherent enough to build from.

I eventually packaged the workflow itself as AsciiKit. It’s just text files (no signup), meant to stay low-fi and disposable. This is pretty niche, and I’m not convinced it’s for everyone (anyone?), but it’s changed how I handle early-stage ideation with LLMs.

Curious whether others feel this same gap between “idea” and “ready to code,” or if this feels like overengineering.

Happy to answer questions.

Comment · 9 months ago
The real shift feels like moving from “writing code” to “making intent explicit.” If the domain model and invariants are clear, AI helps a lot with mechanical work. If they aren’t, no amount of vibe coding saves time. That makes productivity comparisons kind of meaningless.
Comment · 9 months ago
You're buying a piece of paper that I've folded once by hand and numbered. I mail it to you. Each fold is unique. You get the next one in sequence.
Comment · 1 year ago
Rock assignment follows purchase order - no reservations possible. Each order is limited to one rock. If you want multiple rocks, place separate orders, but other customers may complete purchases between yours, interrupting sequential numbering. Assignment remains systematic and cannot be influenced by preference.
Comment · 1 year ago
Correct - the rocks are numbered but the number is not physically on the surface of the rock. Sequential assignment exists in our documentation system only - reflected on the Certificate of Authenticity and archive database. The rocks remain in their natural state. We have no plans to launch an un-numbered version of weight.rocks

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