PartPiper - PC Building & Price Tracking
Find the best PC parts prices and build your setup
What it does
Most PC part tools either list prices or focus only on comparison. PartPiper combines real-time price comparison, price history tracking, and price drop alerts with a simple PC builder that checks compatibility between components. Users can not only find the cheapest option but also understand if the timing is right to buy and build complete setups in one flow instead of switching between multiple sites and forums.
Does the same job
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- RPRAM Prices2024 · ramstickprices.com · ▲241
I was inspired by this discussion https://news.ycombinator.com/item?id=39066480 about diskprices.com last month, and decided to go ahead and make a site for RAM. It's my first time building anything like this! Any tips / suggestions / calls for complete overhaul are welcome :)
- IMI made a price aggregator to find the best PC parts deals across eBay2025 · pcprice.watch · ▲20
Started PC flipping as a hobby (buying used parts, building PCs, and selling them for a small profit). Found that focusing on used parts on eBay gives the best margins - like finding a GPU 20% below market, pairing it with other deals, and selling the complete build locally. I discovered that eBay marketplaces (.com, .de, .co.uk etc.) often have different prices for the same items! Or just completely different items. So I built an eBay price scanner for PC components. It scans listings across different Ebay markets, calculates median prices, and flags anything selling below market (including…
- PBPC Builder AI2023 · pcbuilderai.com · ▲47
Hey HN! You know when you wanna build a new PC, and need to watch a bunch of videos to find the best parts, and then tweak your shopping cart to fit your budget? Well, this new app can help you. It recommends the best hardware for your usage (gaming or work), and considers your budget. It's really helpful, even when you got expertise on hardware. Check it out, and feel free to suggest stuff! Hope you like it! https://www.pcbuilderai.com/
- MZMiniPCs.zip – Charting the Pareto frontier of Mini PCsJun 2026 · minipcs.zip · ▲115
The overall idea is to chart out the thousands of Mini PCs by benchmark and reveal the Pareto Front so you can get the most Compute per Dollar. Definitely a labor of love as I have a number of Mini PCs for my "homelab" (TrueNAS, piHole, Plex, basic stuff). It uses Gemini to extract specs from listings (since they're not often strongly categorized). Quick blog post here: https://luke.zip/posts/pareto-pcs/
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
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AI · 18d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.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