
CarCast
⭐ AI used-car price forecasts. See 60 days ahead.
What it does
CarCast forecasts where used-car prices are heading 30 and 60 days out across 300+ vehicle segments. Each segment gets a Rising/Stable/Softening trend classification with P10/P50/P90 confidence bands. Free plan, weekly digest, dealer API on Pro.
Does the same job
all alternatives →- NWNew way to search for used cars (my weekend project)2011 · olegkikin.com · ▲160
Each dot on the chart is a car. Horizontal scale = mileage. Vertical scale = price. The size of a dot = year (newer = larger), plus I colored 2007 .. 2011 in different colors to find "fresh" cars quicker. This is just some sample data from the last 24 hours, relatively cheap cars under $32,000 within 500 mile radius of NYC.
- TUTrack UK car price depreciation – get alerted when prices change2017 · carpricetracker.com · ▲64
- 2Y25 years of house prices in England and WalesJan 2026 · housepricedashboard.co.uk · ▲15


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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…
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Launched alongside, May 2026
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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…
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Dev tools · May 2026 · github.com