
Oceanir
Locate any photo or video without GPS or metadata
What it does
Ever seen a photo and wondered exactly where it was taken? Oceanir figures it out in seconds. No GPS, no metadata, no location tags needed. Drop in any photo or video frame and get the exact coordinates, street address, and confidence scores showing what visual clues gave it away — architecture, signage, vegetation, lighting. Used by journalists, investigators, and curious people worldwide. Privacy-first, no training on your images. Free to try, no card required.
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I've been working on GeoTraceroute for a while and just shipped v2.3 with submarine cable inference. A few things that might interest HN: - 320 community-contributed nodes across 50 countries, all volunteer-run - Three views: 3D globe with day/night rendering, 2D map, and a topological mode that infers submarine cable routing - The submarine cable inference is the part I find most interesting. Since cable routers don't respond to ICMP, the underwater segments are invisible to standard traceroute. The tool detects ocean crossings by geolocation delta between consecutive hops, then infers…
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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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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