OneTokenX

OTX progress update. The first tool we’re shipping is an API key quality verifier — live for public testing in ~2 weeks, completely free. Whether you’re using an official key or one from a third-party reseller, you’ll be able to drop it in and verify: — Is the key real? — Does the claimed tier/model access match reality? — What’s the actual TPM/RPM ceiling? — Basic stability checks Why free? Because trust infrastructure shouldn’t sit behind a paywall. OTX’s revenue comes from escrow trades, not verification. Verification is the infrastructure that makes escrow possible, so we’d rather open the infra and let the entire market benefit. v1 supports Gemini (all source types). OpenAI, Claude, Bedrock, and Vertex support are coming next. There are a lot of models to support, so it takes time — but the first usable version ships in 2 weeks.

Introducing MixRoute. The infrastructure layer behind reliable AI products. 200+ AI models and APIs connected through a single API key. Automatic routing. Fallback protection. Smarter model selection. Lower inference costs. Enterprise-grade reliability. Because most AI infrastructure looks stable…until it isn’t. Models get swapped without warning. Credits disappear overnight. Requests fail halfway through. Bills stop making sense. Support goes silent when things break. You thought you were optimizing API costs. What you actually introduced was infrastructure risk. MixRoute routes around the chaos. Build once. Stay online. Scale with confidence. mixroute.ai

@Web3_Jarin Hello!

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@perkmaybe Hi

You can gain 500 followers per day. If you want to gain followers, drop "Hi" and connect with everyone who likes it. I’ll do shoutouts for my active followers.

@TheTriceRozay Hey

Need 5 million impressions? Just say, "Hey." Thank me later. 🚀

@sevdaloji .

Hesabınızın 10.000'den az takipçisi varsa, bir nokta bırakın ve eklenen takipçileri görün. ✅

Coinbase's Base just launched an AI tool that lets ChatGPT manage your crypto wallet and interact with DeFi apps — and this changes everything. Imagine typing: "Hey ChatGPT, swap 0.5 ETH for USDC on Base." The AI executes the transaction, quotes you the best DEX rate, and confirms the result — all in natural language. No dApp interface. No copy-pasting addresses. This is the first major bridge between conversational AI and on-chain finance. Base is Coinbase's Layer 2 network, and they just made it accessible through the world's most popular AI chatbot. Here's why this matters: 1. AI agents can now manage DeFi portfolios autonomously — lending, swapping, yield farming 2. Millions of ChatGPT users get a crypto wallet without downloading a separate app 3. Base gets the distribution that every L2 dreams of The bull case: AI-powered DeFi becomes as easy as asking a question. Grandma can manage her crypto portfolio. The bear case: AI wallet exploits at scale — prompt injection, compromised keys, automated rug pulls. Either way, the genie is out of the bottle. This is the pattern that every L1 and L2 will copy within 6 months. Crypto x AI is no longer theoretical. It just shipped. #AI #Crypto #Coinbase #Defi #ChatGPT

@DanielSmidstrup Hi

Hey founders ! Looking to connect with people building in: 🍽️ SaaS 🚀 Tech 📲 Automation 🧠 AI tools 📱 Product Development 🔥 Web APP 💻 Devs Drop what you're working on 👇

@icekento1 Hi

No account should be under 1k 👀 Say hi, we follow you ❤️

@Prince_of_web3 🙌🏻🙌🏻

When I started, I had 0 followers. I replied. I interacted. I supported others. Now I have 74k followers Drop a reply, and let’s grow together

@miiamiav .

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@ChadAppDev Hi!

Looking to connect with people on X! if you're into - building SaaS - iOS development - AI tools say Hi or drop what you're working on Will follow back!

Google just dropped Gemini Omni — and it's not just another multimodal model. It's an "anything-to-anything" AI system. Here's why this matters👇 **What is it?** Most AI models take one type of input and produce one type of output. Gemini Omni breaks that paradigm entirely: • 📷 Input: Image → Output: Video • 🎤 Input: Audio → Output: 3D Model • 🎬 Input: Video → Output: Audio Summary • 📄 Input: PDF → Output: Narrated Slides It processes text, images, audio, and video — and can output any combination too. **The demo that broke my brain** The Verge's team uploaded a photo of a child's stuffed animal floating on a river. Gemini Omni animated it — the toy rafted down realistic water, splashing, with audio of rushing rapids. One photo → a full video scene with sound. In seconds. That's not a feature update. That's a paradigm shift. **Why this changes the game ?** 1. Content creation becomes instant — describe a scene, get a video back 2. Accessibility leaps forward — any document becomes any format 3. The "modal barrier" collapses — we stop thinking in text-vs-image-vs-video Google calls it "bidirectional understanding" — the model doesn't just see or hear. It understands across all modalities simultaneously. **The bigger picture** OpenAI has GPT-4o with vision+voice. Anthropic has Claude with computer use. Meta has Llama with multimodal. But Gemini Omni is the first model where every modality connects to every other modality — not a star topology, but a mesh. This is the architecture that AGI will be built on. **The catch (there's always one)** • Currently limited to Google's infrastructure • Pricing TBD — multimodal at scale is expensive • Quality varies: photo→video is impressive, but not Hollywood yet Still: the direction is clear. The era of single-format AI is over. What would YOU create if you could turn any idea into any format instantly? 🔥👇 #AI #GoogleGemini #GeminiOmni #MultimodalAI #FutureOfAI #AIVideo #Google

It's not a trip to Taipei without a night market stop. 🍧📸🤳

The most expensive "open-source free" option is self-building an LLM Proxy. Many Devs think it's clever to use the open-source LiteLLM as a front-end blocker. The result: - When the API provider updates their version, manually updating Docker. - When concurrency gets stuck, pulling an all-nighter to debug. - To tweak a single Custom Routing, wasting three days of an engineer's time at a $100 hourly rate. You think you've saved on SaaS subscription fees, But in reality, you're using high-paid engineers' livers to maintain a Gateway that "could have been called directly." For early-stage products, Time-to-market is life itself. Leave the infrastructure to professional Gateways (like managed services such as MixRoute), And save your engineers' energy for the core business. Don't burn thousands of dollars in development hours just to save a few tens of dollars on Gateway fees.