{"slug": "gemini-deep-research", "name": "Gemini Deep Research", "category": "ai", "category_name": "AI tools and apps", "description": "", "recommenders": 5, "commenters": 7, "warners": 0, "score": 4.879, "rising": -1.64, "first": "2025-11-02", "latest": "2026-06-24", "why": "Gemini Deep Research helped me narrow down tent models that met my fairly specific set of requirements.", "why_is_quote": true, "has_verdict": false, "sentiment": {"recommend": 5, "neutral": 2, "compare": 0, "warn": 0}, "spark": [1, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0], "listed": true, "loved": [], "caveat": "", "short_quote": "Gemini Deep Research helped me narrow down tent models that met my fairly specific set of requirements.", "kind": "", "icon": true, "domain": null, "github_repo": null, "official_url": "https://gemini.google/overview/deep-research/", "pricing": "", "aliases": ["Gemini Deep Research"], "verdict": null, "praise": [{"label": "", "summary": "", "quotes": [{"id": 778532980, "item_id": 48658311, "url": "https://news.ycombinator.com/item?id=48658311", "by": "samvher", "date": "2026-06-24", "version": null, "stance": "recommend", "quote": "Gemini Deep Research helped me narrow down tent models that met my fairly specific set of requirements.", "excerpt": "Interesting challenge. 1 - I worked abroad and wasn't really familiar with the systems there. Gemini made me aware of a kind of pension account that I could withdraw from when I left the country netting me a few thousand dollars. 2 - Working as a tech contractor, charging by deliverable, Codex/Claude Code speed me up and it doesn't seem to have significantly dropped rates in the market. 3 - Also contractor related: I", "context": "", "use_case": "product research", "switched_from": "", "story": "How to burst the AI bubble: Strike at its roots"}, {"id": 770015041, "item_id": 48125940, "url": "https://news.ycombinator.com/item?id=48125940", "by": "buu700", "date": "2026-05-13", "version": null, "stance": "recommend", "quote": "each independently recommended the Buck Mason Classic Pima Tee", "excerpt": "For the T-shirt I used both Grok and Gemini Deep Research. I basically just told them I was looking for an alternative to the Asket Lightweight T-Shirt that was more in line with its pre-tariff pricing of $50 (already on the high end of what I was willing to pay). They both called out that the defining features were Supima cotton and 120gsm density, and each independently recommended the Buck Mason Classic Pima Tee (", "context": "", "use_case": "shopping research", "switched_from": "", "story": "Googlebook: Designed for Gemini Intelligence \u2013 Coming Fall 2026 \u2013 Googlebook"}, {"id": 765978721, "item_id": 47873670, "url": "https://news.ycombinator.com/item?id=47873670", "by": "curioussquirrel", "date": "2026-04-23", "version": null, "stance": "recommend", "quote": "Try Deep Research in Gemini or Claude and you'll see what I'm talking about.", "excerpt": "MoE is mostly an optimization of the active parameters and therefore lowering the compute requirements, but it can provide some performance improvements over dense models in some cases. I would not describe reasoning as optimization: In fact, it's typically doing the opposite, as models spend way more tokens (and therefore compute) on responding to the same prompt. Some of the smartest models these days use ridiculou", "context": "", "use_case": "", "switched_from": "", "story": "Ask HN: Is the ongoing AI research driving LLM models to be better?"}, {"id": 755455362, "item_id": 47215960, "url": "https://news.ycombinator.com/item?id=47215960", "by": "maurys", "date": "2026-03-02", "version": null, "stance": "recommend", "quote": "I use Gemini Deep Research to crunch raw linguistic data.", "excerpt": "I have added two deeper \"Behind the Scenes\" pages for those interested in the linguistic philosophy or the specific agentic workflow: WHY SWALPA? (https://swalpa.org/behind_swalpa/why/) This section dives into the \"Survival Kannada\" philosophy. It explains why we prioritize high-frequency scenarios like negotiating auto fares or understanding local etymology (e.g., why tech hubs like Marathahalli still carry the \"-ha", "context": "", "use_case": "crunching linguistic data", "switched_from": "", "story": "Show HN: Swalpa \u2013 Spoken Kannada learning platform built with Antigravity"}, {"id": 755454882, "item_id": 47215930, "url": "https://news.ycombinator.com/item?id=47215930", "by": "maurys", "date": "2026-03-02", "version": null, "stance": "recommend", "quote": "I used Gemini Deep Research to build a high-fidelity reference of Kannada linguistics.", "excerpt": "Hi HN, I built SWALPA (https://swalpa.org) because learning spoken Kannada is a New Year's resolution for me and I realized most language apps teach you formal grammar, but not how to negotiate with an auto-rickshaw driver or handle the \"daily chaos\" of the city. THE AGENTIC STACK (BUILT WITH ANTIGRAVITY) I wanted to see how far I could push a \"Human-in-the-loop\" AI workflow to create high-quality content in a low-re", "context": "Software Engineer at Google", "use_case": "building a linguistics reference", "switched_from": "", "story": "Show HN: Swalpa \u2013 Spoken Kannada learning platform built with Antigravity"}]}], "caveats": [], "who": [{"by": "dimitry12", "context": "self-hosts many things", "url": "https://news.ycombinator.com/item?id=47666457", "date": "2026-04-06"}, {"by": "maurys", "context": "Software Engineer at Google", "url": "https://news.ycombinator.com/item?id=47215930", "date": "2026-03-02"}], "tags": [], "use_cases": ["product research", "shopping research", "researching tools", "fact-checking sources", "crunching linguistic data", "building a linguistics reference"], "compared": [{"slug": "google-antigravity", "name": "Google Antigravity", "co": 2, "switched_from": 0, "switched_to": 0}, {"slug": "claude", "name": "Claude", "co": 2, "switched_from": 0, "switched_to": 0}], "makers": [], "threads": [{"url": "https://news.ycombinator.com/item?id=47215918", "title": "Show HN: Swalpa \u2013 Spoken Kannada learning platform built with Antigravity", "mentions": 2}, {"url": "https://news.ycombinator.com/item?id=48657518", "title": "How to burst the AI bubble: Strike at its roots", "mentions": 1}, {"url": "https://news.ycombinator.com/item?id=48111545", "title": "Googlebook: Designed for Gemini Intelligence \u2013 Coming Fall 2026 \u2013 Googlebook", "mentions": 1}, {"url": "https://news.ycombinator.com/item?id=47872916", "title": "Ask HN: Is the ongoing AI research driving LLM models to be better?", "mentions": 1}, {"url": "https://news.ycombinator.com/item?id=47666456", "title": "Self-hosted disposable sandboxes with exe.dev-like UX", "mentions": 1}, {"url": "https://news.ycombinator.com/item?id=47289406", "title": "Verification debt: the hidden cost of AI-generated code", "mentions": 1}], "sentiment_by_month": {"2025-11": {"recommend": 1}, "2025-12": {}, "2026-01": {}, "2026-02": {}, "2026-03": {"recommend": 1, "neutral": 1}, "2026-04": {"neutral": 1, "recommend": 1}, "2026-05": {"recommend": 1}, "2026-06": {"recommend": 1}, "2026-07": {}, "2026-08": {}, "2026-09": {}, "2026-10": {}}, "versions": [], "version_unnamed": 0, "family_ref": null, "runs_on": null, "lines": [], "quotes": [{"id": 778532980, "item_id": 48658311, "url": "https://news.ycombinator.com/item?id=48658311", "by": "samvher", "date": "2026-06-24", "version": null, "stance": "recommend", "quote": "Gemini Deep Research helped me narrow down tent models that met my fairly specific set of requirements.", "excerpt": "Interesting challenge. 1 - I worked abroad and wasn't really familiar with the systems there. Gemini made me aware of a kind of pension account that I could withdraw from when I left the country netting me a few thousand dollars. 2 - Working as a tech contractor, charging by deliverable, Codex/Claude Code speed me up and it doesn't seem to have significantly dropped rates in the market. 3 - Also contractor related: I", "context": "", "use_case": "product research", "switched_from": "", "story": "How to burst the AI bubble: Strike at its roots"}, {"id": 770015041, "item_id": 48125940, "url": "https://news.ycombinator.com/item?id=48125940", "by": "buu700", "date": "2026-05-13", "version": null, "stance": "recommend", "quote": "each independently recommended the Buck Mason Classic Pima Tee", "excerpt": "For the T-shirt I used both Grok and Gemini Deep Research. I basically just told them I was looking for an alternative to the Asket Lightweight T-Shirt that was more in line with its pre-tariff pricing of $50 (already on the high end of what I was willing to pay). They both called out that the defining features were Supima cotton and 120gsm density, and each independently recommended the Buck Mason Classic Pima Tee (", "context": "", "use_case": "shopping research", "switched_from": "", "story": "Googlebook: Designed for Gemini Intelligence \u2013 Coming Fall 2026 \u2013 Googlebook"}, {"id": 765978721, "item_id": 47873670, "url": "https://news.ycombinator.com/item?id=47873670", "by": "curioussquirrel", "date": "2026-04-23", "version": null, "stance": "recommend", "quote": "Try Deep Research in Gemini or Claude and you'll see what I'm talking about.", "excerpt": "MoE is mostly an optimization of the active parameters and therefore lowering the compute requirements, but it can provide some performance improvements over dense models in some cases. I would not describe reasoning as optimization: In fact, it's typically doing the opposite, as models spend way more tokens (and therefore compute) on responding to the same prompt. Some of the smartest models these days use ridiculou", "context": "", "use_case": "", "switched_from": "", "story": "Ask HN: Is the ongoing AI research driving LLM models to be better?"}, {"id": 762663314, "item_id": 47666457, "url": "https://news.ycombinator.com/item?id=47666457", "by": "dimitry12", "date": "2026-04-06", "version": null, "stance": "neutral", "quote": "I tasked Gemini DeepResearch with finding what I can use to glue together something like exe.dev.", "excerpt": "(I am not the author of vmtree) Would be pretty magical if when you need a sandbox, you just SSH into it and it's already there, right? exe.dev popularized this UX, but I self-host a lot of things already, so I wanted something similar, but on my own server, which has plenty of spare RAM and CPU cores. I tasked Gemini DeepResearch with finding what I can use to glue together something like exe.dev. In a typical Gemin", "context": "self-hosts many things", "use_case": "researching tools", "switched_from": "", "story": "Self-hosted disposable sandboxes with exe.dev-like UX"}, {"id": 756637393, "item_id": 47289837, "url": "https://news.ycombinator.com/item?id=47289837", "by": "johngossman", "date": "2026-03-07", "version": null, "stance": "neutral", "quote": "I used Gemini Deep Research to confirm the historical facts and that all the cited sources exist.", "excerpt": "This verification problem is general. As an experiment, I had Claude Cowork write a history book. I chose as subject a biography of Paolo Sarpi, a Venetian thinker most active in the early 17th century. I chose the subject because I know something about him, but am far from expert, because many of the sources in Italian, in which I am a beginner, and because many of the sources are behind paywalls, which does not mea", "context": "", "use_case": "fact-checking sources", "switched_from": "", "story": "Verification debt: the hidden cost of AI-generated code"}, {"id": 755455362, "item_id": 47215960, "url": "https://news.ycombinator.com/item?id=47215960", "by": "maurys", "date": "2026-03-02", "version": null, "stance": "recommend", "quote": "I use Gemini Deep Research to crunch raw linguistic data.", "excerpt": "I have added two deeper \"Behind the Scenes\" pages for those interested in the linguistic philosophy or the specific agentic workflow: WHY SWALPA? (https://swalpa.org/behind_swalpa/why/) This section dives into the \"Survival Kannada\" philosophy. It explains why we prioritize high-frequency scenarios like negotiating auto fares or understanding local etymology (e.g., why tech hubs like Marathahalli still carry the \"-ha", "context": "", "use_case": "crunching linguistic data", "switched_from": "", "story": "Show HN: Swalpa \u2013 Spoken Kannada learning platform built with Antigravity"}, {"id": 755454882, "item_id": 47215930, "url": "https://news.ycombinator.com/item?id=47215930", "by": "maurys", "date": "2026-03-02", "version": null, "stance": "recommend", "quote": "I used Gemini Deep Research to build a high-fidelity reference of Kannada linguistics.", "excerpt": "Hi HN, I built SWALPA (https://swalpa.org) because learning spoken Kannada is a New Year's resolution for me and I realized most language apps teach you formal grammar, but not how to negotiate with an auto-rickshaw driver or handle the \"daily chaos\" of the city. THE AGENTIC STACK (BUILT WITH ANTIGRAVITY) I wanted to see how far I could push a \"Human-in-the-loop\" AI workflow to create high-quality content in a low-re", "context": "Software Engineer at Google", "use_case": "building a linguistics reference", "switched_from": "", "story": "Show HN: Swalpa \u2013 Spoken Kannada learning platform built with Antigravity"}, {"id": 732735904, "item_id": 45795994, "url": "https://news.ycombinator.com/item?id=45795994", "by": "TACIXAT", "date": "2025-11-02", "version": null, "stance": "recommend", "quote": "I love it.", "excerpt": "I have used Gemini's 2.5 Pro deep research probably about 10 times. I love it. Most recently was reviewing PhD programs in my area then deep diving into faculty research areas.", "context": "", "use_case": "Research reports", "switched_from": "", "story": "Tongyi DeepResearch \u2013 open-source 30B MoE Model that rivals OpenAI DeepResearch"}]}