Rattleware
Press with Precision. Brew with Confidence.
What it does
Precision-fit espresso tampers engineered for consistent extraction. Designed with exact sizing for a tighter seal, flat bases for even pressure, and ergonomic handles for comfort. Built from professional-grade materials to deliver repeatable, barista-level results—whether at home or in high-volume cafés.
Does a similar job
all alternatives →- IDI designed an espresso machine and coffee grinder2024 · velofuso.com · ▲797
It was a lot of work as a solo project but I hope you guys think it’s cool. When I say “we” in the website it’s only in the most royal sense possible. I also did all the photo/videography. I started out designing a single machine for personal use, but like many things it sort of spiraled out of control from there. I felt like espresso machines were getting very large, plasticky, and app-integrated without actually improving the underlying technologies that make them work. The noisy vibratory pumps in particular are from 1977 and haven’t really changed since then. So I wanted to focus on…
More work this month
the category →
Hey we are Computable. We spent years building trading infrastructure at Jump Trading and Coinbase. From that point of view, compute looks like energy markets before 2000: everything trades through private bilateral leases, there’s no visible price, and nothing can be resold. The same H100 rents at a 2x spread depending on who’s asking, and once you sign a 24-month lease, it can never change hands. So we built a market for GPU nodes, sold by the calendar week. Here are three things you can do on it that you can’t do anywhere else: - Buy exactly the weeks you need. Three nodes for the last…
Work · 11d ago · getcomputable.com
The app store for voice native apps that lives in your notch
Work · 29d ago · voiceos.com
Launched alongside, May 2026
the whole month →
Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai
- NW
Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com
- FM
Dev tools · May 2026 · github.com