unfnshed
Unfinished furniture ready for your creative transformation
unfnshed launched on August 30, 2023 with 91 votes, #1,077 of 4,347 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 3 years on.
What it does
Discover the joy of personalizing your living space with our selection of purposely unfinished furniture. Crafted from high-quality materials, each piece is a blank canvas awaiting your unique touch.
Unfinished furniture & unpainted wood furniture made from Baltic birch plywood in San Diego. Shelves, desks, tables & benches — tool-free assembly, finished by you. Ships in 3-5 days.
Furniture-grade premium plywood. No tools, no hardware. Ships in 3–5from unfnshed.com
Does a similar job
all alternatives →


Pointless – Endless drawing canvas desktop app2022 · github.com · ▲43An endless drawing canvas desktop app made with Tauri (Rust) and React 🎨 ✍️ - kkoomen/pointless

- ICInfinite canvas product search and decision makingNov 2025 · onton.com · ▲8
Hi HN, We launched Canvas, an AI-powered visual workspace for furniture shopping: onton.com/surfaces. It's early, and we're trying to figure out if we're actually solving a real problem or just our own. Canvas lets you drag products from our 3M+ item catalog, upload inspiration images that auto-link to shoppable products, and generate AI room renderings. Basically trying to consolidate the nightmare of furniture shopping (Pinterest + screenshots + 15 browser tabs) into one place. The average person spends 79 days researching furniture across disconnected platforms. When I renovated my…
Source: Product Hunt launch ↗
Launched alongside, August 2023
the whole month →
Resend▲1,325An entire collection of pre-built components with a much faster development experience.
Dev tools · 2023 · resend.com



Lottielab▲869Create and ship lottie animations to sites and apps faster
Dev tools · 2023 · lottielab.com

Outlines is a Python library that focuses on text generation with large language models. Brandon and I are not LLM experts and started the project a few months ago because we wanted to understand better how the generation process works. Our original background is probabilistic, relational and symbolic programming. Recently we came up with a fast way to generate text that matches a regex (https://blog.normalcomputing.ai/posts/2023-07-27-regex-guide...). The basic idea is simple: regular expressions have an equivalent Deterministic-Finite Automaton (DFA) representation. We…
AI · 2023 · github.com