๐๐๐๐ถ๐ฎ ๐๐ฒ๐๐ฎ ๐๐ ๐๐ถ๐๐ฒ โ ๐ข๐ป๐ฒ ๐๐ฃ๐ ๐ณ๐ผ๐ฟ ๐๐น๐น ๐๐ฟ๐๐ฝ๐๐ผ ๐๐
๐ฐ๐ต๐ฎ๐ป๐ด๐ฒ๐
Luzia aggregates real-time crypto prices from @binance , @coinbase , @krakenfx , @okx & @Bybit_Official into one REST/Websocket API.
Free tier available. MCP server for AI agents
luzia retweeted
My X Feed Today:
Jev Jev Jev in my factory...
After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI?
Iโve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev
โข 20-200x faster
โข 40-400x cheaper (w/ output tokens free)
โข Frontier composable intelligence optimized for decisions
AFAICT the shortest path to AI-based economic revolution
luzia retweeted
๐ง๐ฒ๐บ๐ฝ๐ฒ๐ฟ๐ฎ๐๐๐ฟ๐ฒ, ๐๐ผ๐ฝ-๐ฝ, ๐บ๐ถ๐ป-๐ฝ, ๐ณ๐ฟ๐ฒ๐พ๐๐ฒ๐ป๐ฐ๐ ๐ฎ๐ป๐ฑ ๐ฝ๐ฟ๐ฒ๐๐ฒ๐ป๐ฐ๐ฒ ๐ฝ๐ฒ๐ป๐ฎ๐น๐๐ถ๐ฒ๐, ๐๐ฒ๐ฒ๐ฑ, ๐น๐ผ๐ด๐ฝ๐ฟ๐ผ๐ฏ๐.
These are the knobs that control what an LLM actually outputs, and most of us never touch them.๐ฑ
What I eventually learned is that the prompt is only half the controls. The other half is that set of ๐๐ฎ๐บ๐ฝ๐น๐ถ๐ป๐ด ๐ฝ๐ฎ๐ฟ๐ฎ๐บ๐ฒ๐๐ฒ๐ฟ๐, firing the moment the model picks its next token.
So I wrote the field guide I wish Iโd had: one simple mental model, every parameter explained without the folklore, and a copy-paste cheat sheet of settings per task.
The pattern I keep seeing at LayerX is teams reaching for a bigger model or a fine-tune to fix what were really sampling problems.
Itโs the cheapest lever in the stack, and almost everyone skips it.
layerx.xyz/blog/llm-temperatโฆ
Next week we will launch new symbols on our platform . Follow us to know more soon ๐ก
Now live: 173 new tokenized stocks and ETFs.
Ondo Global Markets now spans 430+ tokenized stocks and ETFs, with the latest batch covering the hottest sectors and trends:
โ AI
โ Robotics
โ Quantum
โ Defense tech
โ Critical materials
โ Data center energy
โ BlackRock active ETFs
โ Covered call income strategies
โ & many more
With 430+ tokenized stocks and ETFs now live across Ethereum, Solana, and BNB Chain, Ondo Global Markets is expanding access to the world's most in-demand assets.
Shipping Production code continues to be a science for humans ๐
๐ฆ๐๐ผ๐ฝ ๐ฝ๐ฟ๐ฒ๐๐ฒ๐ป๐ฑ๐ถ๐ป๐ด ๐๐ต๐ฎ๐ ๐๐ผ๐ ๐ฎ๐ฟ๐ฒ ๐ฎ๐ฏ๐น๐ฒ ๐๐ผ ๐๐ต๐ถ๐ฝ ๐ฎ ๐ฆ๐ฎ๐ฎ๐ฆ ๐ถ๐ป ๐ฐ ๐ต๐ผ๐๐ฟ๐.
You shipped a prototype. Then you tweeted a screenshot. Then you ran.
We've been shipping with AI agents every single day for the last year at @LayerXlab . They write roughly 80% of the code we put into production. I'm not the guy telling you AI is overhyped.
But the "one prompt rebuilt years of work" crowd is selling you a magic trick.
๐ง๐ต๐ฎ๐ ๐ฑ๐ฒ๐บ๐ผ ๐๐ผ๐ ๐๐ฎ๐? It's the cheap 80%. Edge cases, security, concurrency, performance budgets, the decisions made after real incidents at 3am , one of that is in your 4-hour build. And no, your test that "checks the happy path" doesn't count.
๐๐ฒ๐ฟ๐ฒ'๐ ๐๐ต๐ฒ ๐ฝ๐ฎ๐ฟ๐ ๐ป๐ผ๐ฏ๐ผ๐ฑ๐ ๐๐ฎ๐ป๐๐ ๐๐ผ ๐ฎ๐ฑ๐บ๐ถ๐:
- Without a design, the agent will invent one for you. That's not a feature.
- A prototype is a promise, not a product.
- Every model release rewrites your assistant's personality. Treat it like a new hire.
- The agent amplifies the engineer you already are. If you're sloppy, you're now sloppy at machine speed.
- Engineering process review, conventions, CI discipline is the moat now. Not your prompt library.
๐ฅ๐ฒ๐ฝ๐น๐ฎ๐ฐ๐ฒ๐ฑ ๐ฒ๐ป๐ด๐ถ๐ป๐ฒ๐ฒ๐ฟ๐? No. Amplified ones. The gap between the two crowds is about to get embarrassing.
11 lessons from the trenches, one per slide. The honest version. Not the demo.
Full essay layerx.xyz/blog/ai-coding-agโฆ
Disagree? Even better. Tell me where I'm wrong.
REST polling vs WebSocket for crypto prices most articles end with โjust use WebSocket.โ
Thatโs a half answer. ๐ค
Understand when REST is actually the right call, when sockets earn their keep, and the hybrid pattern real systems run in production.
A Decision tree + TypeScript examples inside ๐
luzia.dev/blog/rest-polling-โฆ
REST polling vs WebSocket for crypto prices most articles end with โjust use WebSocket.โ
Thatโs a half answer. ๐ค
Understand when REST is actually the right call, when sockets earn their keep, and the hybrid pattern real systems run in production.
A Decision tree + TypeScript examples inside ๐
luzia.dev/blog/rest-polling-โฆ
Now you can follow the $BTC, $ETH, $SOL Markets from Multiple Exchanges on a single page ๐ฅ
It feels like magic ๐ช
๐ ๐ฆ๐ต๐ถ๐ฝ๐ฝ๐ฒ๐ฑ ๐ฎ ๐ฟ๐ฒ๐ฎ๐น๐๐ถ๐บ๐ฒ ๐ฐ๐ฟ๐๐ฝ๐๐ผ ๐ฝ๐ฟ๐ถ๐ฐ๐ฒ๐ ๐ฝ๐ฎ๐ด๐ฒ ๐ฏ๐ฎ๐๐ฒ๐ฑ ๐ผ๐ป ๐๐๐๐ถ๐ฎ ๐ถ๐ป๐ณ๐ฟ๐ฎ, ๐ฎ๐ป๐ฑ ๐๐ต๐ฒ ๐๐๐ผ๐ฟ๐ ๐ฏ๐ฒ๐ต๐ถ๐ป๐ฑ ๐ถ๐ ๐ถ๐ ๐ฎ ๐๐บ๐ฎ๐น๐น ๐น๐ฒ๐๐๐ผ๐ป.
It didn't start as a roadmap item. I was trying the @claudeai Designย capabilities on a quiet afternoon, sketching what a clean multi-exchange pricing grid could look like. The result was surprisingly sharp. Clear hierarchy, readable at a glance, the kind of thing you'd actually bookmark.
@luziadev already has the hard parts solved: persistent WebSocket connections to Binance, Coinbase, Kraken, Bybit, and OKX,ย a real-time bridge to the pricing data. The experiment just needed some extra effort.
So i wired the design into the existing infra, added per-pair routes with SEO, server-rendered the initial state for fast loads, and shipped.
Two takeaways worth sharing:
๐ ๐๐-๐ฎ๐๐๐ถ๐๐๐ฒ๐ฑ ๐ฑ๐ฒ๐๐ถ๐ด๐ป is genuinely useful when you treat it as a starting point, not a final answer.
e ๐ฆ๐ผ๐น๐ถ๐ฑ ๐ถ๐ป๐ณ๐ฟ๐ฎ๐๐๐ฟ๐๐ฐ๐๐๐ฟ๐ฒ ๐ฝ๐ฎ๐๐ ๐ฐ๐ผ๐บ๐ฝ๐ผ๐๐ป๐ฑ๐ถ๐ป๐ด ๐ฑ๐ถ๐๐ถ๐ฑ๐ฒ๐ป๐ฑ๐. A side experiment became a product feature in a single sprint because the pipes were already there.
ย Live now live.uzia.dev
luzia retweeted
๐ ๐ฆ๐ต๐ถ๐ฝ๐ฝ๐ฒ๐ฑ ๐ฎ ๐ฟ๐ฒ๐ฎ๐น๐๐ถ๐บ๐ฒ ๐ฐ๐ฟ๐๐ฝ๐๐ผ ๐ฝ๐ฟ๐ถ๐ฐ๐ฒ๐ ๐ฝ๐ฎ๐ด๐ฒ ๐ฏ๐ฎ๐๐ฒ๐ฑ ๐ผ๐ป ๐๐๐๐ถ๐ฎ ๐ถ๐ป๐ณ๐ฟ๐ฎ, ๐ฎ๐ป๐ฑ ๐๐ต๐ฒ ๐๐๐ผ๐ฟ๐ ๐ฏ๐ฒ๐ต๐ถ๐ป๐ฑ ๐ถ๐ ๐ถ๐ ๐ฎ ๐๐บ๐ฎ๐น๐น ๐น๐ฒ๐๐๐ผ๐ป.
It didn't start as a roadmap item. I was trying the @claudeai Designย capabilities on a quiet afternoon, sketching what a clean multi-exchange pricing grid could look like. The result was surprisingly sharp. Clear hierarchy, readable at a glance, the kind of thing you'd actually bookmark.
@luziadev already has the hard parts solved: persistent WebSocket connections to Binance, Coinbase, Kraken, Bybit, and OKX,ย a real-time bridge to the pricing data. The experiment just needed some extra effort.
So i wired the design into the existing infra, added per-pair routes with SEO, server-rendered the initial state for fast loads, and shipped.
Two takeaways worth sharing:
๐ ๐๐-๐ฎ๐๐๐ถ๐๐๐ฒ๐ฑ ๐ฑ๐ฒ๐๐ถ๐ด๐ป is genuinely useful when you treat it as a starting point, not a final answer.
e ๐ฆ๐ผ๐น๐ถ๐ฑ ๐ถ๐ป๐ณ๐ฟ๐ฎ๐๐๐ฟ๐๐ฐ๐๐๐ฟ๐ฒ ๐ฝ๐ฎ๐๐ ๐ฐ๐ผ๐บ๐ฝ๐ผ๐๐ป๐ฑ๐ถ๐ป๐ด ๐ฑ๐ถ๐๐ถ๐ฑ๐ฒ๐ป๐ฑ๐. A side experiment became a product feature in a single sprint because the pipes were already there.
ย Live now live.uzia.dev
Happy to be featured on @cryptodailyuk article about the 10 crypto API providers in 2026.
cryptodaily.co.uk/2026/04/buโฆ
Getting today's #Bitcoin price from @claudeai has never been easier.
We shipped a hosted Remote MCP server for crypto Prices.
Give @claudeai a URL and an API key.
And you're now pulling real-time tickers from @binance , @coinbase , @krakenfx , @okx , and @Bybit_Official .
No local install, no config.
Agents are going to be a big chunk of API traffic. Building for that now.
luzia.dev/blog/luzia-remote-โฆ
Getting today's #Bitcoin price from @claudeai has never been easier.
We shipped a hosted Remote MCP server for crypto Prices.
Give @claudeai a URL and an API key.
And you're now pulling real-time tickers from @binance , @coinbase , @krakenfx , @okx , and @Bybit_Official .
No local install, no config.
Agents are going to be a big chunk of API traffic. Building for that now.
luzia.dev/blog/luzia-remote-โฆ
You open 4 tabs every morning to check crypto prices for your favourite crypto currency.
CoinGecko. TradingView. Twitter.
Another tab.
Thereโs a better way.
You can connect Claude to real-time market data via Luzia MCP and with one question you get a full research report in seconds.
Hereโs the exact setup ๐
luzia.dev/blog/how-to-build-โฆ













