Your collaborative AI assistant to design, iterate, and scale full-stack applications for the web.
Based on the limited social mentions available, users view **v0** as a highly effective AI coding tool for rapid prototyping, with one user highlighting its ability to build a fully functional, clickable landing page in just 90 seconds. The tool is specifically recommended for "testing ideas" and appears to generate high-quality, production-ready code quickly. Users seem impressed with v0's speed and output quality, grouping it alongside other top AI development tools like Lovable as solutions that "actually work." However, the mentions don't provide insight into pricing sentiment or detailed user complaints, suggesting more comprehensive reviews would be needed for a complete assessment.
Mentions (30d)
2
Reviews
0
Platforms
5
Sentiment
0%
0 positive
Based on the limited social mentions available, users view **v0** as a highly effective AI coding tool for rapid prototyping, with one user highlighting its ability to build a fully functional, clickable landing page in just 90 seconds. The tool is specifically recommended for "testing ideas" and appears to generate high-quality, production-ready code quickly. Users seem impressed with v0's speed and output quality, grouping it alongside other top AI development tools like Lovable as solutions that "actually work." However, the mentions don't provide insight into pricing sentiment or detailed user complaints, suggesting more comprehensive reviews would be needed for a complete assessment.
Features
I wasted $500 testing AI coding tools so you don't have to 💸 Here's what actually works: 🧪 Testing ideas? → V0 or Lovable Built a landing page in 90 seconds. Fully clickable, looked real. Code's me
I wasted $500 testing AI coding tools so you don't have to 💸 Here's what actually works: 🧪 Testing ideas? → V0 or Lovable Built a landing page in 90 seconds. Fully clickable, looked real. Code's messy but perfect for validation. 🏗️ Shipping real apps? → Bolt Full dev environment in your browser. I built a document uploader with front end + back end + database in one afternoon. 💻 Coding with AI? → Cursor or Windsurf Cursor = stable, used by Google engineers Windsurf = faster, newer, more aggressive Both are insane. 📚 Learning from scratch? → Replit Best coding teacher I've found. Explains errors, walks you through fixes, teaches as you build. Here's what 500+ hours taught me: The tool doesn't matter if you're using it for the wrong stage. Testing ≠ Building ≠ Coding ≠ Learning Stop comparing features. Match your goal first. Drop what you're building 👇 I'll tell you exactly which tool to use Save this. You'll need it. #AI #AITools #TechTok #ChatGPT #Coding
View originalPricing found: $0 /month, $5, $30 /user, $30, $2
Show HN: Oxyde – Pydantic-native async ORM with a Rust core
Hi HN! I built Oxyde because I was tired of duplicating my models.<p>If you use FastAPI, you know the drill. You define Pydantic models for your API, then define separate ORM models for your database, then write converters between them. SQLModel tries to fix this but it's still SQLAlchemy underneath. Tortoise gives you a nice Django-style API but its own model system. Django ORM is great but welded to the framework.<p>I wanted something simple: your Pydantic model IS your database model. One class, full validation on input and output, native type hints, zero duplication. The query API is Django-style (.objects.filter(), .exclude(), Q/F expressions) because I think it's one of the best designs out there.<p><i>Explicit over implicit.</i> I tried to remove all the magic. Queries don't touch the database until you call a terminal method like .all(), .get(), or .first(). If you don't explicitly call .join() or .prefetch(), related data won't be loaded. No lazy loading, no surprise N+1 queries behind your back. You see exactly what hits the database by reading the code.<p><i>Type safety</i> was a big motivation. Python's weak spot is runtime surprises, so Oxyde tackles this on three levels: (1) when you run makemigrations, it also generates .pyi stub files with fully typed queries, so your IDE knows that filter(age__gte=...) takes an int, that create() accepts exactly the fields your model has, and that .all() returns list[User] not list[Any]; (2) Pydantic validates data going into the database; (3) Pydantic validates data coming back out via model_validate(). You get autocompletion, red squiggles on typos, and runtime guarantees, all from the same model definition.<p><i>Why Rust?</i> Not for speed as a goal. I don't do "language X is better" debates. Each one is good at what it was made for. Python is hard to beat for expressing business logic. But infrastructure stuff like SQL generation, connection pooling, and row serialization is where a systems language makes sense. So I split it: Python handles your models and business logic, Rust handles the database plumbing. Queries are built as an IR in Python, serialized via MessagePack, sent to Rust which generates dialect-specific SQL, executes it, and streams results back. Speed is a side effect of this split, not the goal. But since you're not paying a performance tax for the convenience, here are the benchmarks if curious: <a href="https://oxyde.fatalyst.dev/latest/advanced/benchmarks/" rel="nofollow">https://oxyde.fatalyst.dev/latest/advanced/benchmarks/</a><p>What's there today: Django-style migrations (makemigrations / migrate), transactions with savepoints, joins and prefetch, PostgreSQL + SQLite + MySQL, FastAPI integration, and an auto-generated admin panel that works with FastAPI, Litestar, Sanic, Quart, and Falcon (<a href="https://github.com/mr-fatalyst/oxyde-admin" rel="nofollow">https://github.com/mr-fatalyst/oxyde-admin</a>).<p>It's v0.5, beta, active development, API might still change. This is my attempt to build the ORM I personally wanted to use. Would love feedback, criticism, ideas.<p>Docs: <a href="https://oxyde.fatalyst.dev/" rel="nofollow">https://oxyde.fatalyst.dev/</a><p>Step-by-step FastAPI tutorial (blog API from scratch): <a href="https://github.com/mr-fatalyst/fastapi-oxyde-example" rel="nofollow">https://github.com/mr-fatalyst/fastapi-oxyde-example</a>
View originalchore(pricing): Update vertex-ai pricing
## 🔄 Pricing Update: vertex-ai ### 📊 Summary (complete_diff mode) | Change Type | Count | |-------------|-------| | ➕ Models added | 70 | | 🔄 Models updated (merged) | 24 | ### ➕ New Models - `gemini-2.5-computer-use-preview-10-2025` - `gemini-2.5-flash-preview-09-2025` - `gemini-2.5-flash-lite-preview-09-2025` - `gemini-3.1-flash-lite-preview` - `imagen-3.0-generate-002` - `imagen-3.0-capability-002` - `imagen-product-recontext-preview-06-30` - `text-embedding-large-exp-03-07` - `multimodalembedding` - `gpt-oss` - `gpt-oss-120b-maas` - `whisper-large` - `mistral` - `mixtral` - `mistral-small-2503` - `codestral-2501-self-deploy` - `mistral-ocr-2505` - `mistral-medium-3` - `codestral-2` - `ministral-3` - ... and 50 more ### 🔄 Updated Models - `gemini-2.5-pro` - `gemini-2.5-flash` - `gemini-2.5-flash-lite` - `gemini-2.5-flash-image` - `gemini-2.5-flash-image-preview` - `gemini-3.1-pro-preview` - `gemini-3-pro-preview` - `gemini-3-pro-image-preview` - `imagen-4.0-generate-001` - `imagen-4.0-fast-generate-001` - `imagen-4.0-ultra-generate-001` - `imagen-4.0-generate-preview-06-06` - `imagen-4.0-fast-generate-preview-06-06` - `imagen-4.0-ultra-generate-preview-06-06` - `imagen-3.0-capability-001` - `veo-3.0-generate-001` - `veo-3.0-fast-generate-001` - `veo-3.0-generate-preview` - `veo-3.0-fast-generate-preview` - `veo-3.1-generate-001` - `veo-3.1-generate-preview` - `veo-3.1-fast-generate-preview` - `text-embedding-005` - `text-multilingual-embedding-002` ## Model-to-Pricing-Page Mapping | Model ID | Publisher / Section | Source | Notes | |----------|-------------------|--------|-------| | `gemini-2.5-pro` | Google – Gemini 2.5 | API | $1.25/$10 input/output (≤200K); cache read $0.125 | | `gemini-2.5-flash` | Google – Gemini 2.5 | API | $0.30/$2.50; cache $0.03; image_token $30/1M | | `gemini-2.5-flash-lite` | Google – Gemini 2.5 | API | $0.10/$0.40; cache $0.01 | | `gemini-2.5-flash-image` | Google – Gemini 2.5 | API | Same as gemini-2.5-flash with image output | | `gemini-2.5-flash-image-preview` | Google – Gemini 2.5 | API | Same as gemini-2.5-flash (preview alias) | | `gemini-2.5-computer-use-preview-10-2025` | Google – Gemini 2.5 | API | Matched as "Gemini 2.5 Pro Computer Use-Preview"; $1.25/$10, no cache | | `gemini-2.5-flash-preview-09-2025` | Google – Gemini 2.5 | API | Preview alias of gemini-2.5-flash; same pricing | | `gemini-2.5-flash-lite-preview-09-2025` | Google – Gemini 2.5 | API | Preview alias of gemini-2.5-flash-lite; same pricing | | `gemini-2.0-flash-001` | Google – Gemini 2.0 | API | $0.15/$0.60; batch $0.075/$0.30 | | `gemini-2.0-flash-lite-001` | Google – Gemini 2.0 | API | $0.075/$0.30; batch $0.0375/$0.15 | | `gemini-3.1-pro-preview` | Google – Gemini 3 | API | $2/$12; cache $0.2; web_search 1.4¢ | | `gemini-3-pro-preview` | Google – Gemini 3 | API | $2/$12; cache $0.2; web_search 1.4¢ | | `gemini-3-pro-image-preview` | Google – Gemini 3 | API | $2/$12; image_token $120/1M; web_search 1.4¢ | | `gemini-3.1-flash-image-preview` | Google – Gemini 3 | API | $0.50/$3; image_token $60/1M; web_search 1.4¢ | | `gemini-3.1-flash-lite-preview` | Google – Gemini 3 | API | $0.25/$1.50; cache $0.025; web_search 1.4¢ | | `gemini-3-flash-preview` | Google – Gemini 3 | API | $0.50/$3; cache $0.05; web_search 1.4¢ | | `imagen-4.0-generate-001` | Google – Imagen | API | Row matched via lookup_variant `imagen-4.0-generate`; $0.04/image | | `imagen-4.0-fast-generate-001` | Google – Imagen | API | Row matched via `imagen-4.0-fast-generate`; $0.02/image | | `imagen-4.0-ultra-generate-001` | Google – Imagen | API | Row matched via `imagen-4.0-ultra-generate`; $0.06/image | | `imagen-4.0-generate-preview-06-06` | Google – Imagen | API | Preview; matched as Imagen 4; $0.04/image | | `imagen-4.0-fast-generate-preview-06-06` | Google – Imagen | API | Preview; matched as Imagen 4 Fast; $0.02/image | | `imagen-4.0-ultra-generate-preview-06-06` | Google – Imagen | API | Preview; matched as Imagen 4 Ultra; $0.06/image | | `imagen-3.0-generate-002` | Google – Imagen | API | Row matched via `imagen-3.0-generate`; $0.04/image | | `imagen-3.0-capability-001` | Google – Imagen | API – price not found | Editing/VQA feature model; no pricing row | | `imagen-3.0-capability-002` | Google – Imagen | API – price not found | Editing/VQA feature model; no pricing row | | `imagen-product-recontext-preview-06-30` | Google – Imagen | API | "Imagen Product Recontext"; $0.12/image | | `veo-2.0-generate-001` | Google – Veo | API | Row matched via `veo-2.0-generate`; $0.50/sec | | `veo-3.0-generate-001` | Google – Veo | API | Row matched as Veo 3 (video+audio rate); $0.40/sec | | `veo-3.0-fast-generate-001` | Google – Veo | API | Row matched as Veo 3 Fast; $0.15/sec | | `veo-3.0-generate-preview` | Google – Veo | API | Preview alias of Veo 3; $0.40/sec | | `veo-3.0-fast-generate-preview` | Google – Veo | API | Preview alias of Veo 3 Fast; $0.15/sec | | `veo-3.1-generate-001` | Google – Veo | API | Row matched as Veo 3.1; $0
View originalShow HN: Mnemora – Serverless memory DB for AI agents (no LLM in your CRUD path)
Hi HN,<p>I built Mnemora because every AI agent memory solution I evaluated (Mem0, Zep, Letta) routes data through an LLM on every read and write. At scale, that means 200-500ms latency per operation, token costs on your memory layer, and a runtime dependency you don't control.<p>Mnemora takes the opposite approach: direct database CRUD. State reads hit DynamoDB at sub-10ms. Semantic search uses pgvector with Bedrock Titan embeddings — the LLM only runs at write time to generate the embedding vector. All reads are pure database queries.<p>Four memory types, one API: 1. Working memory: key-value state in DynamoDB (sub-10ms reads) 2. Semantic memory: vector-searchable facts in Aurora pgvector 3. Episodic memory: time-stamped event logs in S3 + DynamoDB 4. Procedural memory: rules and tool definitions (coming v0.2)<p>Architecture: fully serverless on AWS — Aurora Serverless v2, DynamoDB on-demand, Lambda, S3. Idles at ~$1/month, scales per-request. Multi-tenant by default: each API key maps to an isolated namespace at the database layer.<p>What I'd love feedback on: 1. Is the "no LLM in CRUD path" differentiator clear and compelling? 2. Would you use this over Mem0/Zep for production agents? What's missing? 3. What memory patterns are you solving that don't fit these 4 types?<p>Happy to answer architecture questions.<p>SDK: pythonpip install mnemora<p>from mnemora import MnemoraSync<p>client = MnemoraSync(api_key="mnm_...") client.store_memory("my-agent", "User prefers bullet points over prose") results = client.search_memory("output format preferences", agent_id="my-agent") # [0.54] User prefers bullet points over prose Drop-in LangGraph CheckpointSaver, plus LangChain and CrewAI integrations.<p>Links: 5-min quickstart: <a href="https://mnemora.dev/docs/quickstart" rel="nofollow">https://mnemora.dev/docs/quickstart</a> GitHub: <a href="https://github.com/mnemora-db/mnemora" rel="nofollow">https://github.com/mnemora-db/mnemora</a> PyPI: <a href="https://pypi.org/project/mnemora/" rel="nofollow">https://pypi.org/project/mnemora/</a> Architecture deep-dive: <a href="https://mnemora.dev/blog/serverless-memory-architecture-for-ai-agents" rel="nofollow">https://mnemora.dev/blog/serverless-memory-architecture-for-...</a>
View originalArizona’s water is drying up. That’s not stopping the data center rush.
It’s no secret that Arizona is worried about its water. The [Colorado River is drying up](https://grist.org/politics/colorado-river-deal-trump-burgum/), [in part due to climate change](https://www.youtube.com/watch?v=AzpYHXgfbbI), and groundwater aquifers are running dry. Some of the state’s biggest industries are suffering as a result: Many farmers have been forced to rip up their cotton and alfalfa fields, and some home developers have been blocked from building new subdivisions. A state with hydrologic woes of this magnitude would seem an unlikely place to attract new factory-scale industries, which often have substantial water appetites themselves, but over the past year that’s exactly what’s happened. So-called hyperscaler tech companies like Microsoft and Meta have swarmed in to build the data centers fuelling the artificial-intelligence boom, and the Taiwan Semiconductor Manufacturing Company has spent billions of dollars on a factory complex outside Phoenix. This [rapid](https://www.reuters.com/sustainability/climate-energy/desert-storm-can-data-centres-slake-their-insatiable-thirst-water--ecmii-2025-12-17/) [development](https://fortune.com/2024/04/08/tsmc-water-usage-phoenix-chips-act-commerce-department-semiconductor-manufacturing/) has [triggered](https://www.azcentral.com/story/money/business/tech/2024/11/04/phoenix-provides-water-to-a-new-chipmaker-any-cause-for-worry/75917812007/?gnt-cfr=1&gca-cat=p&gca-uir=true&gca-epti=z1104xxe1104xxv004275d--47--b--47--&gca-ft=198&gca-ds=sophi) [fears](https://www.apmresearchlab.org/10x/data-centers-resource) that the industry will suck up the finite water supplies available to residents of Phoenix and Tucson. So far, however, these predictions have not come true. Even though Arizona will soon be home to nearly 200 data centers and chip factories, these facilities have not yet caused a major bump in the state’s water consumption. The companies’ precise effects on water supply are hard to discern due to their own secrecy about their water usage, but the aggregate picture suggests they have found ways to minimize their impact, whether through new cooling technologies or by recycling water on-site. And despite [local](https://news.azpm.org/s/102502-marana-data-center-vote-sparks-backlash-three-residents-launch-council-runs/) [backlash](https://www.theguardian.com/us-news/2025/oct/15/tucson-arizona-ai-data-center-project-blue), water experts and many local officials appear to have largely made their peace with the industry’s arrival — and with the Phoenix region’s emergence as one of the nation’s largest AI infrastructure clusters. “There’s not a hair-on-fire context right now,” said Sarah Porter, a fellow at Arizona State University’s Kyl Center for Water Policy. “We just don’t see it.” Arizona is home to [more than 150 data centers](https://www.datacentermap.com/usa/arizona/), according to an analysis from the Data Center Map, an industry resource. Each of these buildings contains thousands of servers that need to stay cool in the desert heat as they process computational queries. This cooling can be done with air conditioners, but it’s more efficient to surround them with pipes full of cold water, or to use evaporating mists to draw out hot air. Cooling systems like these *can* consume a huge amount of water, but [no one knows](https://www.azcentral.com/story/money/business/tech/2026/02/04/arizona-data-centers-water-power-use/88054536007/?gnt-cfr=1&gca-cat=p&gca-uir=true&gca-epti=z119875p003550c003550e1185xxv119875d--55--b--55--&gca-ft=206&gca-ds=sophi) how much they *are* consuming. Independent estimates suggest that an average data center can use anywhere from [50,000](https://www.eenews.net/articles/states-push-to-end-secrecy-over-data-center-water-use/) to [5 million](https://www.eesi.org/articles/view/data-centers-and-water-consumption) gallons of water per day. An [analysis](https://www.ceres.org/resources/reports/drained-by-data-the-cumulative-impact-of-data-centers-on-regional-water-stress) from the sustainability advocacy organization Ceres estimated that the data centers active in Phoenix last summer used around 385 million gallons of water per year. Ceres projected that the metropolitan’s data center water consumption could grow tenfold to around 3.8 billion gallons per year. But even that worst-case-scenario would make data center usage equivalent to just around 1 percent of total [residential water consumption](https://www.azwater.gov/adwr-data-dashboards) in the Phoenix area — and less than half a percent of the region’s total 2024 water usage. (A comparison with agricultural usage is even more stark: Agriculture uses [more than 70 percent](https://environment.arizona.edu/news/where-does-our-water-come) of the state’s water, and still accounts for around 35 percent of water consumption even in the Phoenix metro, the state’s most urban region.) Furthermore, there’s some evidence that Ceres’ estimates may be too high. State data show that
View originalArizona’s water is drying up. That’s not stopping the data center rush.
It’s no secret that Arizona is worried about its water. The [Colorado River is drying up](https://grist.org/politics/colorado-river-deal-trump-burgum/), [in part due to climate change](https://www.youtube.com/watch?v=AzpYHXgfbbI), and groundwater aquifers are running dry. Some of the state’s biggest industries are suffering as a result: Many farmers have been forced to rip up their cotton and alfalfa fields, and some home developers have been blocked from building new subdivisions. A state with hydrologic woes of this magnitude would seem an unlikely place to attract new factory-scale industries, which often have substantial water appetites themselves, but over the past year that’s exactly what’s happened. So-called hyperscaler tech companies like Microsoft and Meta have swarmed in to build the data centers fuelling the artificial-intelligence boom, and the Taiwan Semiconductor Manufacturing Company has spent billions of dollars on a factory complex outside Phoenix. This [rapid](https://www.reuters.com/sustainability/climate-energy/desert-storm-can-data-centres-slake-their-insatiable-thirst-water--ecmii-2025-12-17/) [development](https://fortune.com/2024/04/08/tsmc-water-usage-phoenix-chips-act-commerce-department-semiconductor-manufacturing/) has [triggered](https://www.azcentral.com/story/money/business/tech/2024/11/04/phoenix-provides-water-to-a-new-chipmaker-any-cause-for-worry/75917812007/?gnt-cfr=1&gca-cat=p&gca-uir=true&gca-epti=z1104xxe1104xxv004275d--47--b--47--&gca-ft=198&gca-ds=sophi) [fears](https://www.apmresearchlab.org/10x/data-centers-resource) that the industry will suck up the finite water supplies available to residents of Phoenix and Tucson. So far, however, these predictions have not come true. Even though Arizona will soon be home to nearly 200 data centers and chip factories, these facilities have not yet caused a major bump in the state’s water consumption. The companies’ precise effects on water supply are hard to discern due to their own secrecy about their water usage, but the aggregate picture suggests they have found ways to minimize their impact, whether through new cooling technologies or by recycling water on-site. And despite [local](https://news.azpm.org/s/102502-marana-data-center-vote-sparks-backlash-three-residents-launch-council-runs/) [backlash](https://www.theguardian.com/us-news/2025/oct/15/tucson-arizona-ai-data-center-project-blue), water experts and many local officials appear to have largely made their peace with the industry’s arrival — and with the Phoenix region’s emergence as one of the nation’s largest AI infrastructure clusters. “There’s not a hair-on-fire context right now,” said Sarah Porter, a fellow at Arizona State University’s Kyl Center for Water Policy. “We just don’t see it.” Arizona is home to [more than 150 data centers](https://www.datacentermap.com/usa/arizona/), according to an analysis from the Data Center Map, an industry resource. Each of these buildings contains thousands of servers that need to stay cool in the desert heat as they process computational queries. This cooling can be done with air conditioners, but it’s more efficient to surround them with pipes full of cold water, or to use evaporating mists to draw out hot air. Cooling systems like these *can* consume a huge amount of water, but [no one knows](https://www.azcentral.com/story/money/business/tech/2026/02/04/arizona-data-centers-water-power-use/88054536007/?gnt-cfr=1&gca-cat=p&gca-uir=true&gca-epti=z119875p003550c003550e1185xxv119875d--55--b--55--&gca-ft=206&gca-ds=sophi) how much they *are* consuming. Independent estimates suggest that an average data center can use anywhere from [50,000](https://www.eenews.net/articles/states-push-to-end-secrecy-over-data-center-water-use/) to [5 million](https://www.eesi.org/articles/view/data-centers-and-water-consumption) gallons of water per day. An [analysis](https://www.ceres.org/resources/reports/drained-by-data-the-cumulative-impact-of-data-centers-on-regional-water-stress) from the sustainability advocacy organization Ceres estimated that the data centers active in Phoenix last summer used around 385 million gallons of water per year. Ceres projected that the metropolitan’s data center water consumption could grow tenfold to around 3.8 billion gallons per year. But even that worst-case-scenario would make data center usage equivalent to just around 1 percent of total [residential water consumption](https://www.azwater.gov/adwr-data-dashboards) in the Phoenix area — and less than half a percent of the region’s total 2024 water usage. (A comparison with agricultural usage is even more stark: Agriculture uses [more than 70 percent](https://environment.arizona.edu/news/where-does-our-water-come) of the state’s water, and still accounts for around 35 percent of water consumption even in the Phoenix metro, the state’s most urban region.) Furthermore, there’s some evidence that Ceres’ estimates may be too high. State data show that
View originalDeBriefed 20 February 2026: EU’s ‘3C’ warning
W*elcome to Carbon Brief’s DeBriefed.* *An essential guide to the week’s key developments relating to climate change.* # **This week** ### **Preparing for 3C** **NEW ALERT:** The EU’s climate advisory board urged countries to prepare for 3C of global warming, reported the [Guardian](https://www.theguardian.com/environment/2026/feb/16/europe-climate-advisory-board-3c-global-heating). The outlet quoted Maarten van Aalst, a member of the advisory board, saying that adapting to this future is a “daunting task, but, at the same time, quite a doable task”. The board recommended the creation of “climate risk assessments and investments in protective measures”. **‘INSUFFICIENT’ ACTION:** [EFE Verde](https://efeverde.com/el-comite-cientifico-europeo-urge-a-la-ue-a-reforzar-la-accion-de-adaptacion-ante-un-cambio-climatico-que-ira-al-alza/) added that the advisory board said that the EU’s adaptation efforts were so far “insufficient, fragmented and reactive” and “belated”. Climate impacts are expected to weaken the bloc’s productivity, put pressure on public budgets and increase security risks, it added. **UNDERWATER:** Meanwhile, France faced “unprecedented” flooding this week, reported [Le Monde](https://www.lemonde.fr/en/environment/article/2026/02/17/unprecedented-flooding-in-france-expected-to-last-all-week_6750567_114.html). The flooding has inundated houses, streets and fields and forced the evacuation of around 2,000 people, according to the outlet. The [Guardian](https://www.theguardian.com/world/2026/feb/17/red-flood-alerts-storm-nils-exceptional-rainfall) quoted Monique Barbut, minister for the ecological transition, saying: “People who follow climate issues have been warning us for a long time that events like this will happen more often…In fact, tomorrow has arrived.” ### **IEA ‘erases’ climate** **MISSING PRIORITY:** The US has “succeeded” in removing climate change from the main priorities of the International Energy Agency (IEA) during a “tense ministerial meeting” in Paris, reported [Politico](https://www.politico.eu/article/us-succeeds-in-banishing-climate-from-global-energy-bodys-priorities/). It noted that climate change is not listed among the agency’s priorities in the “chair’s summary” released at the end of the two-day summit. **US INTERVENTION:** [Bloomberg](https://financialpost.com/pmn/business-pmn/iea-meeting-ends-without-unity-as-us-pushes-to-scrap-net-zero) said the meeting marked the first time in nine years the IEA failed to release a communique setting out a unified position on issues – opting instead for the chair’s summary. This came after US energy secretary Chris Wright gave the organisation a one-year deadline to “scrap its support of goals to reduce energy emissions to net-zero” – or risk losing the US as a member, according to [Reuters](https://www.reuters.com/business/energy/us-energy-secretary-wright-pressures-iea-quit-net-zero-agenda-2026-02-19/). # **Around the world** **ISLAND OBJECTION:** The US is pressuring Vanuatu to withdraw a draft resolution supporting an International Court of Justice ruling on climate change, according to [Al Jazeera](https://www.aljazeera.com/news/2026/2/14/us-pressures-vanuatu-at-un-over-icjs-landmark-climate-change-ruling).**GREENLAND HEAT:** The [Associated Press](https://thesun.my/news/world-news/greenlands-west-coast-shatters-century-old-january-heat-records/#google_vignette) reported that Greenland’s capital Nuuk had its hottest January since records began 109 years ago.**CHINA PRIORITIES:** China’s Energy Administration set out its five energy priorities for 2026-2030, including developing a renewable energy plan, said [International Energy Net](https://newenergy.in-en.com/html/newenergy-2449410.shtml).**AMAZON REPRIEVE:** Deforestation in the Brazilian Amazon has continued to fall into early 2026, extending a downward trend, according to the latest satellite data covered by [Mongabay](https://news.mongabay.com/2026/02/amazon-deforestation-on-pace-to-be-the-lowest-on-record-says-brazil/).**GEZANI DESTRUCTION:** [Reuters](https://www.reuters.com/business/environment/cyclone-gezani-leaves-59-dead-madagascar-displaces-more-than-16000-2026-02-16/) reported the aftermath of the Gezani cyclone, which ripped through Madagascar last week, leaving 59 dead and more than 16,000 displaced people. # 20cm The average rise in global sea levels since 1901, according to a [Carbon Brief](https://www.carbonbrief.org/guest-post-the-challenges-in-projecting-future-global-sea-levels/) guest post on the challenges in projecting future rises. # **Latest climate research** Wildfire smoke poses negative impacts on organisms and ecosystems, such as health impacts on air-breathing animals, changes in forests’ carbon storage and coral mortality | [Global Ecology and Conservation](https://www.sciencedirect.com/science/article/pii/S2351989426000727?dgcid=rss_sd_all)As climate change warms Antarctica throughout the century, the Weddell Sea could see the grow
View originalExtra! Extra! 2/15
[](https://substackcdn.com/image/fetch/$s_!JmpU!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Ffa96edfa-9fb3-48ae-9ace-1dd4778a0187_1080x1350.png) [Following intense backlash to its partnership with Flock Safety](https://www.theverge.com/news/878447/ring-flock-partnership-canceled)—a surveillance technology company that works with law enforcement agencies including ICE— Ring has announced it is canceling the integration. Hi, all, and happy Sunday! Once again, this newsletter has so much good news in it that it’s almost too long to fit within Substack’s limits. I had to cut items! That means that even though we’re living through the worst possible times, good things are *still happening*! Let’s keep focussing on, celebrating, and amplifying them, because that’s how we find the strength to keep going—and creating new victories! So read this list, savor it, and then please share it. Let people know that these wins aren’t happening in a vacuum—they’re happening because people like YOU keep showing up and doing the work. I literally couldn’t be more proud of you. ENJOY! ## Celebrate This! 🎉 Four Republican New Mexico candidates were [disqualified after failing](https://www.abqjournal.com/news/four-new-mexico-candidates-disqualified-after-failing-to-meet-ballot-requirements/2978003?mrfcid=20260211698cbbd4871dae073950f595) to meet ballot requirements. As a result, and if he rebuffs a primary challenge, U.S. Sen. Ben Ray Luján is set to avoid a Republican opponent in his bid for a second term Hundreds of rabbis, cantors, and Jewish leaders [protested outside of ICE](https://www.instagram.com/reels/DUoNQcWESBY/) headquarters in DC this week. Chasity Verret Martinez defeated her Republican opponent in [a Louisiana state legislative district](https://democrats.us2.list-manage.com/track/click?u=90379082c3d9e6a03baf3f677&id=531cc9e473&e=aa53a71c78) that Donald Trump won by 13 points in 2024. CA Governor Newsom [just signed legislation delivering $90 million](https://www.threads.com/@cagovernor/post/DUoYj8tkkeo?xmt=AQF0wJbJHogI5WmwR1q6CVR0KfwTst1z4Ey1BE3hd49SgR3xnv8qswG1kHloh-SPwJTua4bD&slof=1) to reproductive health care providers across the state. This is to help them survive Trump’s brutal cuts in the OBBBA. The Virginia Supreme Court [said](https://newsletters.democracydocket.com/e3t/Ctc/2Q+113/d5HcfP04/VXdDNz7Vv2zQW27B_MR6qJKcKW4zFhY95Kvn8FN412x9M5nR3bW6N1X8z6lZ3lxW13DjqF7rjfnzW1ZGQ6t8TFXY7W766FqM5rDhmnW5Zn4H55x5kq3V_Yc6v91YqxsW4PF_Rt7s21GrW7SkzNn5WWWXwVfcrfP6mbwnxW3dgx5x38sM3qW3R0_zx8l-S1KW7lJfnG75KH-lW4p3yyl333_RyW20FX8N81yjFCW615fvS7T8dXQW8NGm7_5xCDCdW7cSHvH78l86cVvBdbm8BS6HhW43SVnB4JcfrjW3dNhqc4qqwHLW4_gygZ3fBt8VW7-8J9G8PrjxWW78zvrV76jF-fW2gpsVl4Lc39wW2YJ-vp3w9YR0V2gw9w2L8TVQW4skxy86xJtwQW8lnDBX1bBtxhW13-1264jgqTPW26J9RY3yhn93W81Dk_5976l2tW6G1YPS2St60RW81DS4-58l10lN6rXWjYTm6PYW4y9l5Y4fj4cRW1hd5p95h1kX1N2SQscW7pQ50W6jBQrL7PbN24W2gVCcg8HSRzBf8CpWnj04) the state could hold a special election on Democratic lawmakers’ redistricting plan aimed at countering GOP gerrymanders nationwide. Progressive [activist Analilia Mejia has won](https://19thnews.org/2026/02/analilia-mejia-new-jersey-primary/) the Democratic primary in a special election for New Jersey. [ICE Acting Director Todd Lyons said that two officers who apparently lied](http://r.mail.talkingpointsmemo.com/mk/cl/f/sh/1t6Af4OiGsF30poC7svlvmal0VUbel/-tkK3E_UjBfv) in relation to a shooting are being investigated by the DOJ. This is the bare minimum but it hasn’t been happening, so I’m going to celebrate it. In a rare defeat, [three House Republicans bucked their leaders to block legislation](https://www.ms.now/news/house-republicans-revolt-trump-tariff-authority) that would have restricted Congress’ ability to strike down Trump’s tariffs. A Montana court [blocked](https://newsletters.democracydocket.com/e3t/Ctc/2Q+113/d5HcfP04/VXdDNz7Vv2zQW27B_MR6qJKcKW4zFhY95Kvn8FN412x985nR3bW5BWr2F6lZ3mJW6-4jDT3_bvBRN8J_bpZBFYpTW67jyFD1JrWyKW3CKp7z3xr76bW1Txk9m7w7GwwN4WkV7YVDFM8N60JRtxKp38NN8Xw5nsD8XH-W8WnQTH3DJqrjVnNK_08QN5QWW11b0Vm3Tb7h8W8MPmWG4BRwklVr6yD77vv5L9W7tjkxx5_BSRTV28D405FrnLZW5-My214ytWDWW2rXKfQ4p8ZmTW7rrNbM2qmzNgW9dkz5j1HhtFdW8NWf7_5r7sGkW2Znynn40K3MPW5RLM9k1YswXnW25kJw33mlT8TW2q2tWT721nY-W4HwYnJ1mHP9qW1cFH7D1b-DRJW5bNz9G64QPzQW40MVrX5s_c9hW369Mp36swPWSW7j7ssS72VXk-W2dyCQ541LBmnW18tnlc6GMnTcW7N85kg5sj9YNN1mtkwfxrV3gf2q-6q404) a state law that would have required students to declare their intent to remain in the county after graduation to register to vote using their college address. If upheld, the measure would have barred thousands of students from voting in their own communi
View originalMy opinon of AI has changed
I was going to argue with someone about giving and example how llms able to perform tasks, example ```task: convert this plain text into structured markdown table``` :::: spoiler the plain text NewsRSS / Atom feeds for <1>All</1>, <2>Subscribed</2>, <3>Inbox</3>, <4>User</4>, and <5>Community</5>. Lemmy Release v0.19.15 and Testing for 1.0 2025-12-24 Lemmy is a self-hosted social link aggregation and discussion platform. It is completely free and o… Lemmy Release 0.19.14 2025-12-08 Lemmy is a self-hosted social link aggregation and discussion platform. It is completely free and o… Lemmy Release 0.19.13 2025-09-10 Lemmy is a self-hosted social link aggregation and discussion platform. It is completely free and o… Lemmy Release 0.19.12 2025-06-13 Lemmy is a self-hosted social link aggregation and discussion platform. It is completely free and o… Lemmy Release v0.19.11 2025-04-08 Lemmy is a self-hosted social link aggregation and discussion platform. It is completely free and o… Lemmy Release v0.19.10 and Developer AMA 2025-03-19 Lemmy is a self-hosted social link aggregation and discussion platform. It is completely free and o… Lemmy Release v0.19.9 2025-02-10 Lemmy is a self-hosted social link aggregation and discussion platform. It is completely free and o… Breaking Changes in Lemmy 1.0 2025-02-03 If you use any apps, frontends or bots for Lemmy, please help us out by notifying the developers ab… Lemmy Release v0.19.8 2024-12-12 Lemmy is a self-hosted social link aggregation and discussion platform. It is completely free and o… Lemmy Release v0.19.7 2024-11-15 Lemmy is a self-hosted social link aggregation and discussion platform. It is completely free and o… Lemmy Release v0.19.6 2024-11-08 Lemmy is a self-hosted social link aggregation and discussion platform. It is completely free and o… New NLnet funding for Lemmy 2024-09-11 Now we have good news, a new round of funding was approved for a total of € 50.000. For the first t… Lemmy Release v0.19.5 2024-06-19 A Few Bugfixes Lemmy Release v0.19.4 2024-06-07 Image Proxying and Federation improvements Lemmy Release v0.19.3 2024-01-22 A Few Bugfixes Lemmy Release v0.19.2 2024-01-10 More Federation Fixes Lemmy Release v0.19.1 2023-12-20 Outgoing Federation fix Lemmy Release v0.19.0 2023-12-15 Instance blocking, Scaled sort, and Federation Queue Join-Lemmy Redesign and Funding Drive 2023-10-31 Intro Some months have passed on since the [Reddit blackout](https://join-lemmy.org/news/2023-06-%E2%80%A6 Lemmy Release v0.18.5 2023-09-29 Fix federation for Admin Actions Lemmy Release v0.18.4 2023-08-08 What is Lemmy? Lemmy is a self-hosted social link aggregation and discussion platform. It is comp… Lemmy Release v0.18.3 2023-07-28 What is Lemmy? Lemmy is a self-hosted social link aggregation and discussion platform. It is comp… Lemmy Release v0.18.2 2023-07-11 Lemmy is a self-hosted social link aggregation and discussion platform. It is completely free and o… Lemmy Release v0.18.1 2023-07-07 What is Lemmy? Lemmy is a self-hosted social link aggregation and discussion platform. It is comp… Lemmy Release v0.18.0 2023-06-23 What is Lemmy? Lemmy is a self-hosted social link aggregation and discussion platform. It is comp… Update from Lemmy after the Reddit blackout 2023-06-17 If you are reading this then you most likely know about the recent news from reddit. As a result of… Lemmy Release v0.17.0 2023-01-31 What is Lemmy? Lemmy is a self-hosted social link aggregation and discussion platform. It is comp… First release of LemmyBB 2022-11-02 We are excited to announce the release of lemmyBB. This is an alternative frontend for Lemmy, based… Bug fixes 2022-09-14- Lemmy Release v0.16.7 A few bug fixes: - Fix missing auth on new post refresh. ([764](https://github.com/LemmyNet/lemmy-%E2%80%A6 Lemmy Release v0.16.6 2022-07-19 A few bug fixes Lemmy Release v0.16.4 2022-05-27 Peertube federation, Rust API and other improvements Lemmy Release v0.16.3 2022-04-08 Federation bug fixes Free Lemmy instance hosting 2022-03-17 What is Lemmy? Lemmy is a selfhosted social link aggregation and discussion platform. It is compl… Lemmy Release v0.16.0 2022-03-08 Theming and Federation improvements Lemmy Release v0.15.1 2022-01-12 Private instances, New User Registrations, Email Verification, and Temporary Bans Lemmy Release v0.14.0 2021-11-17 Federation with Mastodon and Pleroma Lemmy Release v0.13.0 2021-09-30 Comment and Post reporting are here! Lemmy.ml now uses open federation 2021-09-04 You no longer have to ask us to add you manually, you can subscribe and interact without the approv… Lemmy Release v0.12.0. User and Community blocking, lean federation, and a whole lot more 2021-09-03 Since our last release in April, we’ve had [~80](https://github.com/LemmyNet/lemmy/compare/0.11.0%E2%80%A6 Promoting Lemmy 2021-08-09 I think most of us agree that the main problem which Lemmy has today is its lack of users. This is … Lemmy Release v0.11.0 2021-04-27
View originalExtra! Extra! 2/8
[](https://substackcdn.com/image/fetch/$s_!dQ0n!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fbf7f66e2-244b-4adc-a22e-9c0eb264e63f_516x704.jpeg) An American spectator at a figure skating event in Milan held up a U.S. flag with a message apologizing to the world. Photo credit: Vincent Alban / The New York Times Hi, all, and happy Sunday! Hope you’re enjoying the Superbowl—or not, if football isn’t your thing. I’m watching only for the halftime show. Gotta support Bad Bunny and Greenday! We had another rough week, but we’re still seeing wins—in fact, quite a lot of them. So enjoy this long list of all the ways we triumphed against fascism, cruelty, stupidity and avarice. People exactly like you are the only reason these victories are happening. It’s your courage, your strength, and your determination that’s carrying us through. Thanks for that. Please remember to share this list with anyone who says “nothing’s going our way.” Quite the contrary—a lot is. And the more we celebrate it the more likely we get more like it. Have a great day! ## Read This 📖 [This article](https://19thnews.org/2026/02/minneapolis-ice-mother-donate-breastmilk/) will make you weep, but also totally inspire you. Read it. ## Celebrate This! 🎉 JD Vance got [booed](https://www.threads.com/@thetnholler/post/DUbmgliARmT?xmt=AQF0EGWl1G9JvLzaSLBsO5uy92vhXRhzRTSyEYyE0UxWLItwwfAThA8OgVqNrVFFADMZNHo&slof=1) at the Olympic opening ceremony in Milan. Nevada’s only Republican congressman is retiring, [marking another crucial loss for Republicans](https://thehill.com/homenews/house/5726792-mark-amodei-retirement/) heading into the Midterms. [“Melt the ICE” hats are so popular that yarn shops nationwide are selling out of red yarn.](https://9905ebc8.click.convertkit-mail2.com/qduk9vkevzi7h4zvdd8flh8ddxdkkcm43639xzpz92q73536qwve0lnolrl4708qq5gz9nvxm8r0r43egnzkz5vpqok3mvqd49p2km022v85xvkgm0oxxqwmzdkflrlv0/3ohphkh3xp3r30cp/aHR0cHM6Ly93d3cuZ29vZGdvb2Rnb29kLmNvL2FydGljbGVzL21lbHQtdGhlLWljZS1oYXQtcmVkLXlhcm4=) Inspired by a Norwegian design made in opposition to Nazi Germany in the 1940s, the $5 patterns have now raised *[650K](https://www.goodgoodgood.co/articles/melt-the-ice-hat-donations-pattern-fundraiser?sh_kit=7a2950363f4b90b1881ae76c68d24551846eea9063b67a6a14e9fa39bc419e40)* for MN-based immigration orgs. — and even yarn manufacturers are struggling to keep up with the demand for red yarn. Thanks to a deal between Virginia and private landowners, [more than 5,000 acres of forestland surrounding Shenandoah National Park will be protected](https://www.29news.com/2026/02/03/more-than-5000-acres-surrounding-shenandoah-national-park-be-protected/?ck_subscriber_id=2496857656) under five different conservation easements. A federal judge, again, [blocked a Trump administration ban](https://9905ebc8.click.convertkit-mail2.com/qduk9vkevzi7h4zvdd8flh8ddxdkkcm43639xzpz92q73536qwve0lnolrl4708qq5gz9nvxm8r0r43egnzkz5vpqok3mvqd49p2km022v85xvkgm0oxxqwmzdkflrlv0/p8heh9h4rq4d4lir/aHR0cHM6Ly93d3cucmV1dGVycy5jb20vbGVnYWwvZ292ZXJubWVudC91cy1qdWRnZS1hZ2Fpbi1ibG9ja3MtdHJ1bXAtYmFuLWxhd21ha2Vycy1zdXJwcmlzZS12aXNpdHMtZGV0ZW50aW9uLWNlbnRlcnMtMjAyNi0wMi0wMi8=) on lawmakers making “surprise” visits to ICE detention centers. Brad Karp has [resigned](https://ablink.editorial.theguardian.com/ss/c/u001.Yw_JkLMEmFuifc_XG18IRyTNtZQ7fIEMgszcCSneHECyyyKiIcsbT_mvO_CmKOtXIFVVwCHaMCB_f47pc5Wr_3LHqvTy2Pdgb2Cgwqoy6n2QFdYI4S7KwWoD9JeRMNtcGT7wWDUxTrwa-yEjUjRMHUbJ25Ww9IUvuQeIn0plNupsV3a3qM2FUxRvj60EpM9v9UgumjxlxJEuXjP4boV0kU_J_29A3vtJJmbKavwJuzyxqKxJVtIYdnldHqJSlsth3OCOR6B4rN7F9vTpTc3uf0kDulsHky_sl7LD6LQ1ogrN2FJf6xZxFp9NbpCPYKnV/4nw/pZ-eziIqQJa_ylifAE9c0w/h27/h001.woywn5ExbcrSxnpRRdFt_dNEdeTKUhPUrTCVVd0ks2Q) as chair of the powerful law firm Paul Weiss after revelations of extensive communications with Epstein. [Bruce Springsteen’s anti-ICE protest song “Streets of Minneapolis” was the most-sold song of the week last week.](https://9905ebc8.click.convertkit-mail2.com/k0u7kq7wqxc6h5r2l94alhorrer77f98ngn0o4x40dzrnmngzewkl5vp5358rlqzzm240vwo9q3l38nk2v464mwxzp6n9wz780xd69lddwqmow629lpooze9476ad9d8o/6qheh8hlx3267et9/aHR0cHM6Ly93d3cuYmlsbGJvYXJkLmNvbS9tdXNpYy9jaGFydC1iZWF0L2JydWNlLXNwcmluZ3N0ZWVuLWFudGktaWNlLXN0cmVldHMtb2YtbWlubmVhcG9saXMtY2hhcnRzLTEyMzYxNzEyOTAv) [More than 170 countries](https://ozone.unep.org/all-ratifications) — including the U.S.! — have agreed to phase out hydrofluorocarbons (HFCs), a group of gases used in refrigerators, air conditioners and other cooling systems that heat the atmosphere more than almost any other pollutant on Earth. HUGE. Elizabeth Caisaguano, a 10-year-old Minnesot
View originalI wasted $500 testing AI coding tools so you don't have to 💸 Here's what actually works: 🧪 Testing ideas? → V0 or Lovable Built a landing page in 90 seconds. Fully clickable, looked real. Code's me
I wasted $500 testing AI coding tools so you don't have to 💸 Here's what actually works: 🧪 Testing ideas? → V0 or Lovable Built a landing page in 90 seconds. Fully clickable, looked real. Code's messy but perfect for validation. 🏗️ Shipping real apps? → Bolt Full dev environment in your browser. I built a document uploader with front end + back end + database in one afternoon. 💻 Coding with AI? → Cursor or Windsurf Cursor = stable, used by Google engineers Windsurf = faster, newer, more aggressive Both are insane. 📚 Learning from scratch? → Replit Best coding teacher I've found. Explains errors, walks you through fixes, teaches as you build. Here's what 500+ hours taught me: The tool doesn't matter if you're using it for the wrong stage. Testing ≠ Building ≠ Coding ≠ Learning Stop comparing features. Match your goal first. Drop what you're building 👇 I'll tell you exactly which tool to use Save this. You'll need it. #AI #AITools #TechTok #ChatGPT #Coding
View originalYes, v0 offers a free tier. Pricing found: $0 /month, $5, $30 /user, $30, $2
Key features include: Sync with a repo, Integrate with apps, Deploy to Vercel, Edit with design mode, Start with templates, Create design systems, Agentic by default, Create from your phone.
Based on user reviews and social mentions, the most common pain points are: token cost.
Based on 15 social mentions analyzed, 0% of sentiment is positive, 100% neutral, and 0% negative.
Nat Friedman
Investor at AI Grant
3 mentions
