Devendra Shekhawat

A Bengaluru startup just raised $4.1M to fix something broken. Not hiring. Not talent. But how we find opportunities. For years, platforms like Grapevine gave professionals real salary insights and workplace transparency. But one problem remained: People had information. But still couldn’t find the right opportunity. Because most job platforms are built for companies. Thousands of listings. Irrelevant roles. Endless applications. So they built something different. 🚀 Meet tal by grapevine an AI talent agent. Instead of you searching jobs… AI searches for you. • Scans thousands of roles every hour • Matches you with the most relevant opportunities • Helps with resume, career advice, and salary negotiation 💡 The shift is clear: We’re moving from search-based careers → AI-curated careers Because in the future, you won’t chase opportunities… The right opportunities will find you. 👇 Would you trust AI to choose your next job? Follow StartupbyDOC for more real startup insights. #AI #FutureOfWork #StartupIndia #Careers #Innovation

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Unravelling the mysteries of Agentic development ecosystem is the powerhouse Aditi Jain from delving into how developers can create agents using open-source tools, deploy them easily to ensure they work together through standardized protocols, lets dive right in : We explore agentic framework designed to empower folks from technical backgrounds and have development preferences to build, collaborate, and use AI agents effectively. 1. Build Agents with Vertex AI Agent Builder ADK (Agent Development Kit) – Open Source  - Enables developers to code agents “like Google” using Python or Java.  - Provides the flexibility and power for custom agent development. Agent Engine (GA – General Availability)  - Allows you to deploy agents to a fully managed runtime.  - Simplifies the operational burden, letting you focus on agent logic rather than infrastructure. Agent Garden – Open Source  - Offers a collection of sample agents and tools.  - Helps teams get started quickly with pre-built solutions and best practices. 2. Agents Collaborate and Communicate with Agent2Agent Protocol -Open Protocol for Agent Collaboration:  - Facilitates seamless communication and collaboration between different agents. - A2A Protocol Complements MCP  -MCP (Multi-Channel Protocol)For managing resources and communication.  -Specifically for applications and agents to interact with each other in a standardized way.  - Enables the creation of complex, multi-agent workflows.  - Ensures interoperability and scalability as more agents are added to your ecosystem. 3. Employees Use Agents with Google Agentspace - Agentspace:  - A unified environment where employees can interact with various types of agents. - Types of Agents Supported:  - Google Agents: Native agents provided by Google.  - Enterprise Agents: Custom agents built for organizational needs.  - User-built Agents: Agents developed by individual employees or teams.  - Partner Agents: Agents provided by third-party partners. Snapshot Summary : ADK (Agent Development Kit) <> Code custom agents in Python/Java (open source)           Agent Engine  <> Deploy agents to a managed runtime (GA)                     Agent Garden  <> Access sample agents and tools (open source)                    Agent2Agent Protocol (A2A)  <> Standardizes agent collaboration and communication                 MCP  <> Manages resources and communications for agents                Agentspace <> Unified interface for employees to use Google, enterprise, user, and partner agents Bonus : Leverage Agentspace to see how easily you can create Jira Bugs or use the agent space for optimizing media with low-latency via Chirp3/NotebookLM. Google Google DeepMind Google Cloud Google for Developers 100 GIGA (Powered By Fem-Led Agentic)

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The SDE2 → SDE3 Reality Check 💫 Over the last few hiring cycles, an interesting trend has been hard to ignore. A large pool of engineers in the market today are positioned — and paid — at an SDE2 level, but aspire to transition into SDE3 roles. The ambition is great to see, but there’s a clear skill depth and expectations gap that often surfaces during interviews. Many SDE2 candidates are drawing compensation that aligns closer to senior-level roles, but when it comes to system design depth, architectural thinking, scalability decisions, debugging complexity and ownership — the jump to SDE3 isn’t always an easy one. This creates a two-fold challenge for companies: 🔍 Finding strong backend engineers who truly meet SDE3 bar 💰 Balancing expectations vs. current market pay benchmarks The demand for senior-level engineers is massive, but the supply of truly production-scale, architecture-driven backend talent remains limited — making this one of the toughest hiring brackets today. Not a blocker, but a gap worth acknowledging. A space where upskilling, exposure to large-scale systems, and real ownership can make a huge difference. Curious to know — what’s your take on the SDE2 → SDE3 skill gap in the market today? Would love to hear different perspectives. 💭 #techdeapth #hiring #team #skillgap #compensationbenchmark #salarybar #fitment #hiringbar #scaleup #design

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Choosing the wrong tech partner won’t just slow you down. It can wipe out your runway, stall your roadmap, and turn your “MVP” into an expensive lesson. You end up with -  ➡️ Missed deadlines. ➡️ Bloated costs. A product that looked nothing like the vision. Startups don’t fail from lack of ideas. They fail from choosing the wrong people to build those ideas. Choosing fast feels good, but later comes back to bite you, when you least expect it. Here’s your no-nonsense checklist: ✔ Business Understanding — Do they get your market, model, and monetization? If all they talk about is frameworks, run. You need someone who speaks revenue, runway, and retention. ✔ Team Capability — Do they have seniors, or just juniors with fancy titles? Pretty pitch decks mean nothing. Ask how they handle failures, not how they talk about success. ✔ Predictable Delivery — Do they commit to outcomes, not just hours? “Let’s figure it out as we go” is not a process. It’s chaos wearing a t-shirt. ✔ Transparent Communication — Do you know exactly what’s happening every week? No black boxes. No mysterious delays. You deserve visibility into code, progress, and risks. ✔ Technical Integrity — Will they tell you when something shouldn’t be built? The right partner pushes back. The wrong one nods at everything and quietly lets you fail. ✔ Cultural Fit — Do they work like a partner or a vendor? A partner who can’t handle growth will become your bottleneck. Get this checklist right, and you build momentum. Get it wrong, and you’ll be rebuilding for the next 6 months. If you need a tech partner who checks every box above, send us a message today! #TechPartners #StartupAdvice #ProductVelocity #SoftwareDevelopment #Inument

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Raising funds teaches you how to pitch. Scaling teaches you how to protect your margins. In Episode 1 of Scale Ka Game, we uncover the hidden payment gateway costs that quietly eat into your profits. Are you scaling smart? #BuildToScale #StartupGrowth #PhonePePaymentGateway

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