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LINK 🗡️VS. CLOUD☁️ #OneMinuteMelee #ThrowBackThursday ANIMATOR: CrazyChrisTyler714 #Zelda #LegendofZelda #FinalFantasy #Link #Cloud #Nintendo #SquareEnix #Animation #Fight

Hyper Gauge

2,061 subscribers

220,009 views • 2 days ago •via X (Twitter)

Arts Gaming #OneMinuteMelee #ThrowBackThursday #Zelda #LegendofZelda #FinalFantasy #Link #Cloud #Nintendo #SquareEnix #Animation #Fight

Anya Rossi• Live Now

Private livecam show

34 Comments

..2 days ago

Awesome animation, amazing stuff..but Cloud is winning this 😭

HalliganTV2 days ago

this is some shit i would shit myself seeing on newgrounds back in the day

Hyper Gauge2 days ago

WHO WOULD ACTUALLY WIN??

Richard Miller2 days ago

YOU'RE DAMN RIGHT! 🔥😎

Kyle Campbell2 days ago

A Super Smash Bros done Street Fighter style with this art would be pretty damn cool.

OIFCombatMedic1 day ago

As much as I love my boy Link, I think Cloud would take it. Physically cloud is stronger due to being infused with mako. Plus the spells and summons available to Cloud would be impossible to overcome. Also depends on which Link, I guess...

Mrrightnow_Gaming2 days ago

Yeah no cloud would low diff

Kervin Alcindor(Commissions: OPEN)2 days ago

This still one of my favs

Xeno2 days ago

Lmao cloud would destroy link what

Sparky_LightningKing2 days ago

Yeah I get the animator is biased but power wise cloud kills link 10 times over this seems to be OOT or MM link so even more reason even if it is TP link still not winning

Demahu2 days ago

Tyler’s air combat was always A1

cryptoguun2 days ago

Only one of these has taken down Sephiroth

Minun2 days ago

Tyler never disappoints

Sirhc1 day ago

This fight was what I figure a Smash fight between the 2 would be like. But also I love moments like Link's stomp making Cloud bounce off the ground, Link hook-shotting a rock to kick it at Cloud and Cloud making Link bounce of a rock wall.

Crimzon 🏳️‍🌈2 days ago

Definitely where @SquareEnix got their reference for that scene in the FFR demo

Yasai Dizon1 day ago

nice animation, but i don't think link can survive Clouds omnislash, they did even let Cloud use it here 💀🤣 because it's OP

Dreno2 days ago

Dude, give me a SSB like this!

Rune Walker C.2 days ago

Man I loved those one minute melee’s

Alícia Torres2 days ago

Omg it is an FF resonance cutscene xD

?1 day ago

I like these

Heriberto Flores1 day ago

The video they're showing gets everything wrong; Cloud and Link aren't even remotely close in terms of abilities, and Cloud's durability and speed far surpass those of the warrior Link. I'm attaching a video here that presents more accurate results, along with arguments

spiderdrew2 days ago

This nigga loves them Zelda game clearly but Cloud destroys the elf

vangie2 days ago

this is peak AMV

Stand User 💿1 day ago

This is how i want Street Fighter Alpha 4 to look

@AarronFields2 days ago

Link you’re the best 😁

Althael1 day ago

lmao Link wouldn't stand a chance, what he gon' do, solve a puzzle? lol

The ender Kirby1 day ago

Nice animation

TheBigBox1 day ago

Cloud would win

Jerry Clark2 days ago

Absolutely need a Square Vs Nintendo brawler now.

GingeySnap1 day ago

Wasn't there some fan-made fighting game that had like Link, Could, Samus and buncha other characters but the gimmick was about cards or something? Didn't they use these sprites?

Kevin Weathers2 days ago

4 words, Ancient. Arrow. Bullet. Time.

Corey Lee1 day ago

Sick

Shoeionare aka i WEAR ALL MY SHOES1 day ago

Cloud would dog walk link

Z3nTient2 days ago

I'd love to play this game!

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I love Seedance 2.0 😭🔥 Tifa Lockhart goes full kaiju giantess mode on a tiny Cloud! 💥👣 Rika Helleaven is literally directing the scene, & Tifa turns evil on cue, glowing with that dangerous energy 😈 “Oh… I see you down there, Cloud~” Full animation link in reply!

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EigenCloud

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//Bitcoin 𝕵ack 🐐

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BTC tagged the fast line at $69,380 and closed up 6%. This is manipulation — here's why. Volume: Friday $2.4B, Monday $2.13B, Wednesday $2.09B. Every pump weaker than the last. None exceeded the 30-day moving average. OBV declining all month — yesterday barely caused a pause. RSI bounced from 25.61 to 51.69 with a TBT bullish divergence in process, not yet confirmed. Bear flag still valid. To invalidate it, need a close above $69K. We didn't close above $69K. Targets: $49K, $38,500, $31K. On the weekly, this is the same green bounce week we saw in 2022 before the next 30% flush. ETH closed at $2,057. Fast line is $2,061. Pumped 11% wick to wick and couldn't close inside the cloud. Volume $1.4B vs. $1.5B MA. Bull trap. Stablecoin dominance printed a second TBT bearish divergence and wicked into the TBO cloud for the first time since Jan 29th. Short-term positive for crypto. Macro still bullish on all four cloud lines — no blow-off top yet. Others dominance closed red while everything was pumping. Second TBT bearish divergence confirmed. If others can't outperform on a 6% BTC day, you know what's next. TradFi better post-State of the Union, but I'm not trusting the follow-through. NVDA broke out of cloud compression at $195. Tesla closed above resistance with a TBT bullish divergence. GameStop's OBV broke through October resistance — targets $25.30, $28, $35.80. VIX printed a TBT bearish divergence, first since October 2023. Could mark a VIX top and give equities a short-term breather. S&P open long confirmed but still below TBO resistance at 69.52. DOT pumped 41% wick to wick on 6x average volume. UNI up 28%. Manipulation. ADA +14% TBT bullish divergence. LINK +13%. NEAR +21%. SOL closed inside the cloud with volume above the MA — bear flag may need adjusting, macro still bearish. PIPPIN fell 8% while everything pumped — RSI bearish divergence vs. the Feb 14th high. ICP, AERO, HYPE, CFX all tagged the fast line — solid short entries. SKY wicked above TBO resistance at .069, didn't close there. XMR +7% TBT bullish divergence, still targeting $100. If 60K was the bottom, I'll adjust. But the 2022 parallels are too strong to ignore. Macro bearish. Next target $49K.

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Massive breakthrough here! Someone fixed every major flaw in Jupyter Notebooks. The .ipynb format is stuck in 2014. It was built for a different era - no cloud collaboration, no AI agents, no team workflows. Change one cell, and you get 50+ lines of JSON metadata in your git diff. Code reviews become a nightmare. Want to share a database connection across notebooks? Configure it separately in each one. Need comments or permissions? Too bad. Jupyter works for solo analysis but breaks for teams building production AI systems. Deepnote just open-sourced the solution (Apache 2.0 license) They've built a new notebook standard that actually fits modern workflows: ↳ Human-readable YAML - Git diffs show actual code changes, not JSON noise. Code reviews finally work. ↳ Project-based structure - Multiple notebooks share integrations, secrets, and environment settings. Configure once, use everywhere. ↳ 23 new block - SQL, interactive inputs, charts, and KPIs as first-class citizens. Build data apps, not just analytics notebooks. ↳ Multi-language support - Python and SQL in one notebook. Modern data work isn't single-language anymore. ↳ Full backward and forward compatibility: convert any Jupyter notebook to Deepnote and vice versa with one command. npx @ deepnote/convert notebook.ipynb Then open it in VS Code, Cursor, WindSurf, or Antigravity. Your existing notebooks migrate instantly. Their cloud version adds real-time collaboration with comments, permissions, and live editing. I've shared the GitHub repo link in the replies! It's 100% open-source.

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33,358 views • 9 months ago

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15,543 views • 12 days ago

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Claude Code is now scary good at full-stack! I asked it to build a real-time weather intelligence dashboard with an interactive 3D globe and a forecasting layer that predicts weather 3 days ahead. It came back with a spinning globe that has a day/night cycle using NASA satellite imagery, city lights on the dark side, weather icons that switch between sun and moon based on local time, and a time travel slider that scrubs through 10 days of data. Claude Code built the whole thing in a single session, including the backend, database, data pipeline, and frontend. For the database, I needed something fast for time-series workloads since the app ingests hourly weather readings across many cities and serves time-range queries on every slider interaction. I used Tiger Cloud by Tiger Data - Creators of TimescaleDB, which gives you managed TimescaleDB on the Postgres you already know. Claude Code connected to it through the Tiger CLI MCP server and set up the entire backend directly: - Provisioned the database service - Created hypertables for time-partitioned weather storage - Set up continuous aggregates for pre-computed rollups - Built the data ingestion pipeline and the full NextJS + ThreeJS frontend The time travel slider queries thousands of rows on every position change. On a regular Postgres table, this would require manual partitioning and index tuning to stay fast as data grows. TimescaleDB partitions the data by timestamp automatically, so each query only hits the relevant time chunk. Continuous aggregates serve the trend charts and forecast layer from pre-computed rollups instead of rescanning raw data on every request. The video below shows the final build in action, and I worked with the Tiger Data team to put this together. Tiger CLI is open-source (Apache 2.0) and works with Claude Code, Cursor, Codex, Gemini CLI, and VS Code. To try this yourself: → Sign up for Tiger Cloud (I have shared the link in the replies). It gives you $1,000 free credits (no card needed) → Install Tiger CLI: curl -fsSL https(:)//cli(.)tigerdata(.)com | sh → Run tiger mcp install claude-code → Give Claude Code a prompt and let it build Find the sign-up link in the replies.

Avi Chawla

14,838 views • 3 months ago

Claude Code is now scary good at full-stack! I asked it to build a real-time weather intelligence dashboard with an interactive 3D globe, a forecasting layer that predicts weather 3 days ahead, and an anomaly detector that flags cities whose weather is behaving abnormally. It came back with a spinning globe that has a day/night cycle using NASA satellite imagery, city lights on the dark side, weather icons that switch between sun and moon based on local time, and a time travel slider that scrubs through 10 days of data. And when a city's weather breaks from its own normal, it pulses red (abnormally hot) or blue (abnormally cold) right on the globe, updating live and reflecting the anomaly state at any point you drag the slider to. Claude Code built the whole thing in a single session, including the backend, database, data pipeline, and frontend. For the database, I needed something fast for time-series workloads since the app ingests hourly weather readings across many cities and serves time-range queries on every slider interaction. I used Tiger Cloud by Tiger Data - Creators of TimescaleDB, which gives you managed TimescaleDB on the Postgres you already know. Claude Code connected to it through the Tiger CLI MCP server and set up the entire backend directly: - Provisioned the database service - Created hypertables for time-partitioned weather storage - Set up continuous aggregates for pre-computed rollups - Built the data ingestion pipeline and the full NextJS + ThreeJS frontend The time travel slider queries thousands of rows on every position change. On a regular Postgres table, this would require manual partitioning and index tuning to stay fast as data grows. TimescaleDB partitions the data by timestamp automatically, so each query only hits the relevant time chunk. Continuous aggregates serve the trend charts, the forecast layer, and the anomaly baselines from pre-computed rollups instead of rescanning raw data on every request. The video below shows the final build in action, and I worked with the Tiger Data team to put this together. Tiger CLI is open-source (Apache 2.0) and works with Claude Code, Cursor, Codex, Gemini CLI, and VS Code. To try this yourself: → Sign up for Tiger Cloud (I have shared the link in the replies). It gives you $1,000 free credits (no card needed) → Install Tiger CLI: curl -fsSL https(:)//cli(.)tigerdata(.)com | sh → Run tiger mcp install claude-code → Give Claude Code a prompt and let it build sign-up here: My co-founder also wrote a detailed article on this. The article is quoted below.

Claude Code is now scary good at full-stack! I asked it to build a real-time weather intelligence dashboard with an interactive 3D globe, a forecasting layer that predicts weather 3 days ahead, and an anomaly detector that flags cities whose weather is behaving abnormally. It came back with a spinning globe that has a day/night cycle using NASA satellite imagery, city lights on the dark side, weather icons that switch between sun and moon based on local time, and a time travel slider that scrubs through 10 days of data. And when a city's weather breaks from its own normal, it pulses red (abnormally hot) or blue (abnormally cold) right on the globe, updating live and reflecting the anomaly state at any point you drag the slider to. Claude Code built the whole thing in a single session, including the backend, database, data pipeline, and frontend. For the database, I needed something fast for time-series workloads since the app ingests hourly weather readings across many cities and serves time-range queries on every slider interaction. I used Tiger Cloud by Tiger Data - Creators of TimescaleDB, which gives you managed TimescaleDB on the Postgres you already know. Claude Code connected to it through the Tiger CLI MCP server and set up the entire backend directly: - Provisioned the database service - Created hypertables for time-partitioned weather storage - Set up continuous aggregates for pre-computed rollups - Built the data ingestion pipeline and the full NextJS + ThreeJS frontend The time travel slider queries thousands of rows on every position change. On a regular Postgres table, this would require manual partitioning and index tuning to stay fast as data grows. TimescaleDB partitions the data by timestamp automatically, so each query only hits the relevant time chunk. Continuous aggregates serve the trend charts, the forecast layer, and the anomaly baselines from pre-computed rollups instead of rescanning raw data on every request. The video below shows the final build in action, and I worked with the Tiger Data team to put this together. Tiger CLI is open-source (Apache 2.0) and works with Claude Code, Cursor, Codex, Gemini CLI, and VS Code. To try this yourself: → Sign up for Tiger Cloud (I have shared the link in the replies). It gives you $1,000 free credits (no card needed) → Install Tiger CLI: curl -fsSL https(:)//cli(.)tigerdata(.)com | sh → Run tiger mcp install claude-code → Give Claude Code a prompt and let it build sign-up here: My co-founder also wrote a detailed article on this. The article is quoted below.

Akshay 🚀

37,269 views • 22 days ago