{"slug": "canirun-ai", "name": "canirun.ai", "category": "ai", "category_name": "AI tools and apps", "description": "", "recommenders": 6, "commenters": 6, "warners": 0, "score": 5.418, "rising": -0.64, "first": "2026-03-29", "latest": "2026-08-10", "why": "You can try this site, toggle your computer specs at the top for a refined list of models and tokens/sec.", "why_is_quote": true, "has_verdict": false, "sentiment": {"recommend": 6, "neutral": 0, "compare": 0, "warn": 0}, "spark": [0, 0, 0, 0, 1, 2, 1, 0, 1, 1, 0, 0], "listed": true, "loved": [], "caveat": "", "short_quote": "You can try this site, toggle your computer specs at the top for a refined list of models and tokens/sec.", "kind": "", "icon": true, "domain": "canirun.ai", "github_repo": null, "official_url": "https://canirun.ai", "pricing": "", "aliases": ["canirun.ai", "CanIRun.ai"], "verdict": null, "praise": [{"label": "", "summary": "", "quotes": [{"id": 787945008, "item_id": 49246563, "url": "https://news.ycombinator.com/item?id=49246563", "by": "qaz_plm", "date": "2026-08-10", "version": null, "stance": "recommend", "quote": "You can try this site, toggle your computer specs at the top for a refined list of models and tokens/sec.", "excerpt": "You can try this site, toggle your computer specs at the top for a refined list of models and tokens/sec. https://www.canirun.ai", "context": "", "use_case": "Finding local models for hardware", "switched_from": "", "story": "Meta Muse Glimmer \u2013 open weights 30B local coding model"}, {"id": 783954704, "item_id": 48997169, "url": "https://news.ycombinator.com/item?id=48997169", "by": "jsherer", "date": "2026-07-21", "version": null, "stance": "recommend", "quote": "I find this to be pretty accurate", "excerpt": "I find this to be pretty accurate: https://www.canirun.ai/", "context": "", "use_case": "Checking which AI models a laptop can run", "switched_from": "", "story": "I built a page that tells you what AI model your laptop can run"}, {"id": 770354512, "item_id": 48147157, "url": "https://news.ycombinator.com/item?id=48147157", "by": "jordiburgos", "date": "2026-05-15", "version": null, "stance": "recommend", "quote": "This is very helpful too: https://www.canirun.ai/", "excerpt": "This is very helpful too: https://www.canirun.ai/", "context": "", "use_case": "", "switched_from": "", "story": "Show HN: Find the best local LLM for your hardware, ranked by benchmarks"}, {"id": 765850528, "item_id": 47865658, "url": "https://news.ycombinator.com/item?id=47865658", "by": "random3", "date": "2026-04-22", "version": null, "stance": "recommend", "quote": "Check out https://www.canirun.ai/", "excerpt": "Check out https://www.canirun.ai/ (and https://news.ycombinator.com/item?id=47363754)", "context": "", "use_case": "checking hardware compatibility for models", "switched_from": "", "story": "Qwen3.6-27B: Flagship-Level Coding in a 27B Dense Model"}, {"id": 761968128, "item_id": 47623008, "url": "https://news.ycombinator.com/item?id=47623008", "by": "romerocruzsa", "date": "2026-04-02", "version": null, "stance": "recommend", "quote": "community-led contributions like https://canirun.ai and more", "excerpt": "So, I've been working on Edge AI/TinyML for over a year now and been amazed with how much progress the field has matured towards deploying intelligence that is operational in low-power hardware... or so I thought. On-device or Edge Computing has been (for me at least) divided into two subgroups: those with ML expertise who obsess over algorithms & optimization methods and hobbyists who run into useful case studies th", "context": "", "use_case": "", "switched_from": "", "story": "How are people treating/deploying on-device AI?"}]}], "caveats": [], "who": [], "tags": [], "use_cases": ["finding local models for hardware", "checking which ai models a laptop can run", "checking hardware compatibility for models", "check local model hardware fit"], "compared": [], "makers": [], "threads": [{"url": "https://news.ycombinator.com/item?id=49241679", "title": "Meta Muse Glimmer \u2013 open weights 30B local coding model", "mentions": 1}, {"url": "https://news.ycombinator.com/item?id=48995134", "title": "I built a page that tells you what AI model your laptop can run", "mentions": 1}, {"url": "https://news.ycombinator.com/item?id=48146369", "title": "Show HN: Find the best local LLM for your hardware, ranked by benchmarks", "mentions": 1}, {"url": "https://news.ycombinator.com/item?id=47863217", "title": "Qwen3.6-27B: Flagship-Level Coding in a 27B Dense Model", "mentions": 1}, {"url": "https://news.ycombinator.com/item?id=47623007", "title": "How are people treating/deploying on-device AI?", "mentions": 1}, {"url": "https://news.ycombinator.com/item?id=47566687", "title": "Ask HN: M5 MacBook Pro buyers, worth spending the $$$ to maybe run LLMs local?", "mentions": 1}], "sentiment_by_month": {"2025-11": {}, "2025-12": {}, "2026-01": {}, "2026-02": {}, "2026-03": {"recommend": 1}, "2026-04": {"recommend": 2}, "2026-05": {"recommend": 1}, "2026-06": {}, "2026-07": {"recommend": 1}, "2026-08": {"recommend": 1}, "2026-09": {}, "2026-10": {}}, "versions": [], "version_unnamed": 0, "family_ref": null, "runs_on": null, "lines": [], "quotes": [{"id": 787945008, "item_id": 49246563, "url": "https://news.ycombinator.com/item?id=49246563", "by": "qaz_plm", "date": "2026-08-10", "version": null, "stance": "recommend", "quote": "You can try this site, toggle your computer specs at the top for a refined list of models and tokens/sec.", "excerpt": "You can try this site, toggle your computer specs at the top for a refined list of models and tokens/sec. https://www.canirun.ai", "context": "", "use_case": "Finding local models for hardware", "switched_from": "", "story": "Meta Muse Glimmer \u2013 open weights 30B local coding model"}, {"id": 783954704, "item_id": 48997169, "url": "https://news.ycombinator.com/item?id=48997169", "by": "jsherer", "date": "2026-07-21", "version": null, "stance": "recommend", "quote": "I find this to be pretty accurate", "excerpt": "I find this to be pretty accurate: https://www.canirun.ai/", "context": "", "use_case": "Checking which AI models a laptop can run", "switched_from": "", "story": "I built a page that tells you what AI model your laptop can run"}, {"id": 770354512, "item_id": 48147157, "url": "https://news.ycombinator.com/item?id=48147157", "by": "jordiburgos", "date": "2026-05-15", "version": null, "stance": "recommend", "quote": "This is very helpful too: https://www.canirun.ai/", "excerpt": "This is very helpful too: https://www.canirun.ai/", "context": "", "use_case": "", "switched_from": "", "story": "Show HN: Find the best local LLM for your hardware, ranked by benchmarks"}, {"id": 765850528, "item_id": 47865658, "url": "https://news.ycombinator.com/item?id=47865658", "by": "random3", "date": "2026-04-22", "version": null, "stance": "recommend", "quote": "Check out https://www.canirun.ai/", "excerpt": "Check out https://www.canirun.ai/ (and https://news.ycombinator.com/item?id=47363754)", "context": "", "use_case": "checking hardware compatibility for models", "switched_from": "", "story": "Qwen3.6-27B: Flagship-Level Coding in a 27B Dense Model"}, {"id": 761968128, "item_id": 47623008, "url": "https://news.ycombinator.com/item?id=47623008", "by": "romerocruzsa", "date": "2026-04-02", "version": null, "stance": "recommend", "quote": "community-led contributions like https://canirun.ai and more", "excerpt": "So, I've been working on Edge AI/TinyML for over a year now and been amazed with how much progress the field has matured towards deploying intelligence that is operational in low-power hardware... or so I thought. On-device or Edge Computing has been (for me at least) divided into two subgroups: those with ML expertise who obsess over algorithms & optimization methods and hobbyists who run into useful case studies th", "context": "", "use_case": "", "switched_from": "", "story": "How are people treating/deploying on-device AI?"}, {"id": 761126832, "item_id": 47570427, "url": "https://news.ycombinator.com/item?id=47570427", "by": "al_borland", "date": "2026-03-29", "version": null, "stance": "recommend", "quote": "That may help make the decision.", "excerpt": "I have an M1 Pro MBP. I keep being tempted to upgrade, but when I look at the improvements being made, it makes me continue to wait. In day to day use, I\u2019m not hurting at all with the M1 Pro and it seems like I\u2019ll be able to get so much more in a couple years if trends continue. When it comes to local AI, I\u2019m of the option that this is where things should go in the long-term. However, I want to see the market mature ", "context": "", "use_case": "Check local model hardware fit", "switched_from": "", "story": "Ask HN: M5 MacBook Pro buyers, worth spending the $$$ to maybe run LLMs local?"}]}