Deepanshi (@itzdeep__here22) header
Deepanshi (@itzdeep__here22) profile picture

Founder - Scalevy Media πŸ“§ - [email protected] | CPP - @yapper_so Higgsfield CPP - HIGGS-210GS

California, USA
Joined April 2024
Photo by Deepanshi (@itzdeep__here22)Photo by Deepanshi (@itzdeep__here22)Photo by Deepanshi (@itzdeep__here22)Photo by Deepanshi (@itzdeep__here22)Photo by Deepanshi (@itzdeep__here22)Photo by Deepanshi (@itzdeep__here22)Photo by Deepanshi (@itzdeep__here22)Photo by Deepanshi (@itzdeep__here22)Photo by Deepanshi (@itzdeep__here22)Photo by Deepanshi (@itzdeep__here22)
Deepanshi retweeted
A little happiness can make an ordinary day unforgettable. 😊 A stranger walked into a small hotel feeling tired. The receptionist greeted him with a warm smile and said, β€œWelcome! Today is going to be a beautiful day.” That simple kindness made his whole day brighter. ❀️ Sometimes, happiness begins with a simple smile. #Happiness #Kindness #PositiveVibes
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Deepanshi retweeted
At the Costco food court, the man at my table spoke to me. Man: "My wife is coming back from the counter with our food, so could you free up that seat?" Me: "........." Man: "You should give it up for people who actually have a full meal." Me: "........." Man: "Can you hear me?" Me: "Listen ↓↓"
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Deepanshi retweeted
Earns $600 per hour by reading books. I've created a guide with 10 methods to help you earn 6,000 daily. Normally $299, but today, it's free. To get it: Like this post & RT Comment "PayPal" I'll DM it to you (Must be following me)
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Deepanshi retweeted
AI β†’ ML β†’ DL β†’ GenAI β†’ LLMs β†’ RAG β†’ Agents
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Deepanshi retweeted
What if your devices, apps and agents knew what you wanted? You finish breakfast, and your Uber is booked. Running late, your agent sends a β€œRunning late” text. You reach home, and your lights turn on. AI is proactive now. But it still needs your yes. It waits, for you to unlock your phone, open an app and tap approve. Every time, hundreds of times a day. AI needs its own interface. Aina is a ring with a screen that predicts and shows you the three things you’ll need next. One flick of your thumb, and it’s done. For everything. ✦ Cues: proactive suggestions, ready before you need them ✦ Voice: talk to your agents, take notes, dictate ✦ Remote: control your music, Mac and TV ✦ Calls: right from your hand Pre-orders open now aina.com
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Deepanshi retweeted
Love love when global companies build for india <3
This festive season, we're excited to share that Nugget by @zomato and Cartesia have been powering millions of customer interactions through multilingual voice agents for enterprises in retail, BFSI, healthcare and more. Nugget is a conversational AI ecosystem that has powered 2.2B+ conversations for brands including Zomato, Blinkit and Hyperpure, and handles 50M+ minutes of voice interactions every month. Cartesia's flagship text-to-speech model, Sonic, powers Nugget's agent voices, bringing natural, expressive, and low-latency speech to conversations at scale across 11 Indic languages. We’re proud to be helping customers throughout India connect with brands in their own languages, this festive season and beyond.
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Love love when global companies build for india <3
This festive season, we're excited to share that Nugget by @zomato and Cartesia have been powering millions of customer interactions through multilingual voice agents for enterprises in retail, BFSI, healthcare and more. Nugget is a conversational AI ecosystem that has powered 2.2B+ conversations for brands including Zomato, Blinkit and Hyperpure, and handles 50M+ minutes of voice interactions every month. Cartesia's flagship text-to-speech model, Sonic, powers Nugget's agent voices, bringing natural, expressive, and low-latency speech to conversations at scale across 11 Indic languages. We’re proud to be helping customers throughout India connect with brands in their own languages, this festive season and beyond.
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Deepanshi retweeted
This festive season, we're excited to share that Nugget by @zomato and Cartesia have been powering millions of customer interactions through multilingual voice agents for enterprises in retail, BFSI, healthcare and more. Nugget is a conversational AI ecosystem that has powered 2.2B+ conversations for brands including Zomato, Blinkit and Hyperpure, and handles 50M+ minutes of voice interactions every month. Cartesia's flagship text-to-speech model, Sonic, powers Nugget's agent voices, bringing natural, expressive, and low-latency speech to conversations at scale across 11 Indic languages. We’re proud to be helping customers throughout India connect with brands in their own languages, this festive season and beyond.
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Deepanshi retweeted
Most think vibecoding at scale is slop. Here’s a counterexample. Today we release a 16M-line formalization of the entire Stacks Project, critical infra underlying modern math, with optimized code quality and its highly interconnected structure preserved. A mathematical city πŸŒ†
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This could become an essential tool for content creators.
HeyGen Video 1 is now on your phone. Everything in this video was made with it. Download the HeyGen app and get started on any mobile device. iOS: apps.apple.com/app/id6711356… Android: play.google.com/store/apps/d…
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Developers already use AI to speed up coding. But what about all the work around coding? Well's Claude Code workflow lets users start a session from WhatsApp and follow progress through the conversation. AI assistance beyond the editor.
Aujourd'hui, on lance Well en France πŸ‡«πŸ‡· Un assistant IA qui prΓ©pare l'administratif de ton entreprise, directement sur WhatsApp. Être entrepreneur en France, c'est aussi avoir un deuxiΓ¨me mΓ©tier Γ  plein temps : gΓ©rer l'administratif. Et Γ§a ressemble souvent Γ  Γ§a : πŸ“₯ 245 emails Γ  gΓ©rer entre clients, fournisseurs, URSSAF, impΓ΄ts, banque et comptable 🀝 56 engagements pris en rΓ©union : relances, devis, rappels, rendez-vous πŸ” 37 outils entre lesquels jongler : Qonto, Pennylane, Stripe, HubSpot, Google Agenda, impots.gouv, URSSAF… πŸ“š 10 400 pages de lois et de rΓ¨glements que nul n'est censΓ© ignorer : Code du travail, Code gΓ©nΓ©ral des impΓ΄ts, Livre des procΓ©dures fiscales, CIBS, Code de commerce, Code de la sΓ©curitΓ© sociale Et tout Γ§a avant mΓͺme de commencer Γ  travailler sur ton vrai mΓ©tier. C'est exactement pour Γ§a qu'on a créé Well. Pas de nouveau logiciel Γ  apprendre. Pas de tableau de bord Γ  consulter. Juste un message Γ  envoyer. β˜€οΈ Avec Well, tu prends ton cafΓ©, tu envoies un message et tu reprends le contrΓ΄le de ta journΓ©e. Toi, tu fais ton mΓ©tier. Well prΓ©pare le reste. Essaie Well aujourd'hui πŸ‘‡ wa.me/13025202443?text=Hello…
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We just raised $120M, with a $1B valuation, to build software that keeps itself running. AI is writing more code than ever. It’s also making production less reliable: more code, shipped faster, understood by few. @traversal_ai understands how production systems fit together, finds the root cause of incidents, and helps prevent the next one. Engineers at Nubank, Harvey, PepsiCo, DigitalOcean, and a growing list of Fortune 100 companies use Traversal every day. Here’s production without the drama πŸ‘‡
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Deepanshi retweeted
Voice agents don't listen, so obvious in hindsight. Glad somebody shipped.
Your voice agent can get every word right and still get the call wrong. Introducing Tazo (@TazoLabs), an audio decision model for live voice agents. Speech in, decision out. Give it raw call audio, a text prompt and your options. It returns the calibrated probability for each option, directly from audio. β€’ 70.9% vs 46.4% for STT + Jev on real production calls β€’ Ranks #2 on audio intelligence benchmark (MMAU) β€’ <200 ms model latency β€’ First decision model tuned to run on streaming voice calls β€’ Introducing β€œNone of the above” option to handle out-of-scope and unsure states. API is live. Free credits for every new sign-up. Give your agent ears @ app.tazolabs.com See it in action below πŸ‘‡
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Deepanshi retweeted
❀️ A Healthy Relationship Starts With Understanding Intimacy is not just about time. It’s about trust, respect, communication, comfort, and mutual consent. Everyone is different, and there is no single β€œperfect” duration. What matters most is that both partners feel safe, respected, and comfortable. Respect, communication, and care always come first. πŸ’― #SexualHealth #RelationshipGoals #HealthyRelationships
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I asked AI to help me save 30 minutes. It ended up changing how I work. Yesterday, I had a simple task. Write one social media post. Normally, I would: β†’ Think of an idea β†’ Write the first draft β†’ Rewrite it β†’ Fix the hook β†’ Make it shorter β†’ Add examples β†’ Rewrite it again 30–60 minutes gone. So I tried something different. I told ChatGPT: β€œDon’t write the post yet. First, ask me questions until you understand exactly what I’m trying to say.” It asked me about: β†’ My audience β†’ The main idea β†’ The result I wanted β†’ My writing style β†’ What I wanted people to remember Then I asked it to create the post. The first version wasn't perfect. But instead of starting over, I said: β€œNow act like a brutally honest editor. Tell me what would make someone stop scrolling.” It found problems I completely missed. Weak opening. Too much fluff. Not enough curiosity. No strong reason to keep reading. I fixed them. The final version took me less than 15 minutes. That’s when I realized something: AI isn't powerful because it can write for you. It's powerful because you can make it think alongside you. Most people use AI to replace typing. The smarter way? Use it to improve your thinking. That’s a completely different level of AI. The best AI users aren't the ones with the most tools. They're the ones who know how to ask better questions….
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You can earn $7000/month if you have ChatGPT, a laptop, and 60 mins a day. Usually, I'd charge $79 for this guide, but today you get it completely free. Like + reply 'Money' and I'll send you my detailed guide for FREE. Must follow me to get guide in your DM. FREE for 48 hrs.
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πŸ“‚ API Design Roadmap ┃ ┣ πŸ“‚ Foundations ┃ ┣ πŸ“‚ What is an API? ┃ ┣ πŸ“‚ HTTP & HTTPS Fundamentals ┃ ┣ πŸ“‚ Request & Response Lifecycle ┃ ┣ πŸ“‚ JSON & Data Formats ┃ β”— πŸ“‚ API Design Principles ┃ ┣ πŸ“‚ REST API Design ┃ ┣ πŸ“‚ REST Architecture ┃ ┣ πŸ“‚ Resources & Endpoints ┃ ┣ πŸ“‚ HTTP Methods (GET, POST, PUT, DELETE, PATCH) ┃ ┣ πŸ“‚ Status Codes ┃ β”— πŸ“‚ REST Best Practices ┃ ┣ πŸ“‚ API Documentation ┃ ┣ πŸ“‚ OpenAPI Specification ┃ ┣ πŸ“‚ Swagger UI ┃ ┣ πŸ“‚ API Reference Documentation ┃ ┣ πŸ“‚ Examples & SDKs ┃ β”— πŸ“‚ Versioned Documentation ┃ ┣ πŸ“‚ Authentication & Authorization ┃ ┣ πŸ“‚ API Keys ┃ ┣ πŸ“‚ JWT Authentication ┃ ┣ πŸ“‚ OAuth 2.0 & OpenID Connect ┃ ┣ πŸ“‚ Role-Based Access Control (RBAC) ┃ β”— πŸ“‚ Token Management ┃ ┣ πŸ“‚ API Security ┃ ┣ πŸ“‚ HTTPS & TLS ┃ ┣ πŸ“‚ CORS Configuration ┃ ┣ πŸ“‚ CSRF & XSS Protection ┃ ┣ πŸ“‚ Rate Limiting & Throttling ┃ β”— πŸ“‚ Input Validation & Sanitization ┃ ┣ πŸ“‚ Advanced API Architectures ┃ ┣ πŸ“‚ GraphQL ┃ ┣ πŸ“‚ gRPC ┃ ┣ πŸ“‚ WebSockets ┃ ┣ πŸ“‚ Server-Sent Events (SSE) ┃ β”— πŸ“‚ Event-Driven APIs ┃ ┣ πŸ“‚ API Performance ┃ ┣ πŸ“‚ Pagination ┃ ┣ πŸ“‚ Filtering & Sorting ┃ ┣ πŸ“‚ Caching Strategies ┃ ┣ πŸ“‚ Compression ┃ β”— πŸ“‚ Performance Optimization ┃ ┣ πŸ“‚ API Reliability ┃ ┣ πŸ“‚ Error Handling ┃ ┣ πŸ“‚ Retry Strategies ┃ ┣ πŸ“‚ Idempotency ┃ ┣ πŸ“‚ Circuit Breaker Pattern ┃ β”— πŸ“‚ Health Checks ┃ ┣ πŸ“‚ API Testing ┃ ┣ πŸ“‚ Unit Testing ┃ ┣ πŸ“‚ Integration Testing ┃ ┣ πŸ“‚ Postman & Insomnia ┃ ┣ πŸ“‚ Load Testing ┃ β”— πŸ“‚ Contract Testing ┃ ┣ πŸ“‚ API Deployment ┃ ┣ πŸ“‚ API Gateways ┃ ┣ πŸ“‚ Reverse Proxies ┃ ┣ πŸ“‚ Docker & Containers ┃ ┣ πŸ“‚ CI/CD Pipelines ┃ β”— πŸ“‚ Cloud Deployment ┃ ┣ πŸ“‚ Monitoring & Observability ┃ ┣ πŸ“‚ Logging ┃ ┣ πŸ“‚ Metrics Collection ┃ ┣ πŸ“‚ Distributed Tracing ┃ ┣ πŸ“‚ Prometheus & Grafana ┃ β”— πŸ“‚ API Analytics ┃ ┣ πŸ“‚ AI-Powered APIs ┃ ┣ πŸ“‚ OpenAI API Integration ┃ ┣ πŸ“‚ Function Calling ┃ ┣ πŸ“‚ Streaming Responses ┃ ┣ πŸ“‚ AI Agent APIs ┃ β”— πŸ“‚ Cost & Token Optimization ┃ ┣ πŸ“‚ Real-World Projects ┃ ┣ πŸ“‚ Authentication API ┃ ┣ πŸ“‚ E-commerce REST API ┃ ┣ πŸ“‚ Payment Gateway API ┃ ┣ πŸ“‚ AI Chat API ┃ β”— πŸ“‚ Microservices API Platform ┃ ┣ πŸ“‚ Practice & Growth ┃ ┣ πŸ“‚ Build Public APIs ┃ ┣ πŸ“‚ Contribute to API Projects ┃ ┣ πŸ“‚ Write API Documentation ┃ ┣ πŸ“‚ API Design Reviews ┃ β”— πŸ“‚ Interview Preparation ┃ β”— πŸ“‚ Career & Monetization ┣ πŸ“‚ Backend Engineer Roles ┣ πŸ“‚ API Platform Engineer ┣ πŸ“‚ SaaS Development ┣ πŸ“‚ API Consulting & Freelancing β”— πŸ“‚ Continuous Learning Follow this consistently for 2–4 months and you'll be able to design, build, secure, and scale production-ready APIs with confidence.
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ChatGPT can now redesign ANY room like a $150/hour interior designer. You don't need to hire an expensive designer or buy new furniture. Just upload ONE photo of your room and use these 7 prompts:
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Deepanshi retweeted
πŸ’° 60 Ideas to Make Money from Home! 🏑✨ You don’t need a fancy office to build your future. πŸš€ From freelancing and content creation to affiliate marketing and digital products, there are countless ways to turn your skills into opportunities. πŸ’‘ Start with what you know. πŸ“š Learn what you don’t. πŸ”₯ Stay consistent and keep growing. Your next opportunity could start right at home! Which idea would you try first? πŸ‘‡
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AI agents are becoming a serious engineering discipline. But the biggest mistake is trying to learn everything at once. A better approach? Follow a roadmap. This AI Agent Engineering roadmap breaks the journey into 8 practical layers: 01 β€” LLM Fundamentals Understand transformers, tokenization, context windows, reasoning models and benchmarks. 02 β€” Context Engineering Learn how system prompts, few-shot examples, structured context and extended thinking shape agent behavior. 03 β€” Memory Architecture Build session memory, vector retrieval, persistent memory and prompt caching. 04 β€” Agentic Workflows Move into ReAct patterns, MCP, multi-agent orchestration and coding agents. 05 β€” Tool Connectivity Connect agents to APIs, MCP servers, browsers and computer-use tools. 06 β€” AI Gateways & Cost Control Learn model routing, fallbacks, cost tracking and multi-provider setups. 07 β€” Guardrails & Safety Handle prompt injection, validation, PII, jailbreaks and hallucination risks. 08 β€” Observability & Evaluation Trace agent decisions, run evaluations, regression tests and detect performance drift. The important part? Don’t jump straight into building β€œautonomous agents.” First understand the model. Then the context. Then memory. Then tools. Then orchestration. And finally, build the systems that make agents safe, measurable and reliable. That’s the difference between simply using AI… …and actually understanding AI agent engineering. Save this roadmap if you’re serious about learning agentic AI. ❀️ Like πŸ” Retweet πŸ”– Bookmark
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