Ob

"If you are building the same thing other people build, it can only be similarly good. It can't be actually much better. It can slightly look nicer, but you're bounded a couple percentage points either direction. If you want to build something great or much better, it has to be different. So this has to be your starting position."

@predexon @Polymarket @Kalshi @trylimitless @predictdotfun @opinionlabsxyz @HyperliquidX Bullish

Predexon Smart Order Router is now in beta. 1 Unified Wallet 1 USDC Balance 6 Exchanges Trade across: @Polymarket @Kalshi @trylimitless @predictdotfun @opinionlabsxyz @HyperliquidX Best-price execution. Cross-venue order splitting. Unified liquidity and orderbooks. One API and execution layer for the entire prediction market ecosystem. Prediction markets are fragmenting across chains, venues, and liquidity pools. We’re building the infrastructure layer that makes all of it feel like a single exchange.

A lot of people are trying to figure out recursively self-improving companies right now. I break down what we’re seeing at YC.

We fixed flight booking. flysoar.ai

Stablecoins are no longer a “crypto experiment.” They’re becoming part of the new standard for global B2B settlement. Thread 🧵

We were early backers of @tether, @circle & @Paxos Now every fund is bullposting stablecoin data $300B+ stables, $33T of volume etc But there’s been surprisingly little business analysis Who makes money? Who doesn't? Why? I pulled together our thinking below👇

New podcast on sales - Sell the Truth. 00:00 Be Credible 03:18 “Yes, And” 04:31 Selfish Honesty 05:37 Charisma Is Confidence + Love 07:56 Don’t Manage, Lead 11:16 Hunt Together 14:51 Feed Your (Good) Obsessions 18:57 Sell the Truth 21:07 Good Deal or No Deal 23:39 The Age of Nonlinear Returns

If you have one thing holding the business back - speed up cycles. Go from meeting weekly to daily. Start all meetings with the metric you wanna improve. Go granular on individual accounts. This is the fastest way I've seen big turnarounds happen. Cram a year of work into weeks.

Anthropic's Head of Claude Code shipped 49 features in 2 days — without writing a single line of code himself. He just dropped the exact workflow that replaced his entire coding process. Worth more than any $500 vibe coding course. Bookmark it

Here's the exact pitch deck that helped us raise a $5M seed in 3 weeks. A couple of weeks ago, I gave away our $2M pre-seed deck, and it was downloaded by nearly 5000 ppl. This one was led by @upfrontvc and other existing investors and followed our super successful open source launch, which amassed over 3000 GitHub stars in 48 hrs and was consistently featured on the GitHub trending repository list. The deck is also p close to our current branding and finally graduated from the clumsy purple-blue gradient that dominated the pre-seed one 😆 If you're raising a seed round in 2026, this is still super relevant in many ways. Hope it helps! Download it here: ordnl.link/z3Oo9AT

This is the best founder you've never heard of. Adam Foroughi's company prints $5 billion in cash a year with just 400 people. When his stock price dropped by 92%, he borrowed money to buy back $6 billion in stock. That bet made the company more than $60 billion. The entire C-suite is just 4 people. To this day, Adam approves every hire. This episode has the highest insight-to-minute ratio of any conversation I've had so far. Here’s our full conversation: 0:00 The $6B Buyback That Made $60B 2:15 Borrowing Money To Buy Back Stock At A Discount 5:02 Why VCs Passed On AppLovin In 2012 9:00 From App Discovery To Ad Platform 14:45 Beating Google's AdMob With Performance Marketing 19:30 No Board For Six Years 30:12 The China Deal That Almost Blew Up 37:45 The Convertible Note Pivot And KKR 46:30 Buying Gaming Studios To Get Data 51:45 Losing Trust With Game Developers 58:20 The 2022 Crash And How He Kept His Team 1:02:00 Building An Hyper Competent & Efficient Company 1:07:25 Why Every New Hire Needs His Approval 1:19:06 The Axon 2 Inflection Point 1:21:15 One Great Engineer Now Beats A Hundred Includes paid partnerships.

Real Voices. Real Friction. Real Solutions. This month, we’re sitting down with CFOs and Finance Leads to discuss their operational journey: the friction they navigated before Bullring, and the strategic clarity they’ve unlocked since integrating our infrastructure. 2/5

What to Expect in May!! We spent the last month uncovering the friction in global finance. Now, we’re showing you the machinery we built to fix it. 1/5

New podcast on vibe coding - A Return to Code. A Return to Coding 00:20 The Personal App Store 03:17 Vibe Coding Is a Video Game with Real-World Rewards 06:22 Pure Software Is Uninvestable 10:33 A Place for Each Model 14:22 AI Is Eager to Please 17:57 Why Math and Coding? 22:10 The Beginning of the End of Apple’s Dominance 24:17 Coding Agents As Customer Service Reps 27:55

Never quit as a founder. I’m begging you. It’s 0 for longer than you’ll ever expect. No momentum. Soul-crushing doubts. Nobody seems to care. Even when it looks like it’s working, it’s not. You keep trying new things. You don’t lose hope. Then it snaps to 100. You finally find the one thing that resonates. You wake up with more customers than you can handle. Everything is breaking. Momentum keeps building even when you’re not pushing. Something changed. You didn’t get lucky, you just didn’t leave.

Anthropic's Claude Ai Agents Team just Educated how to build production AI agents in under 30 mins. For Free. From the engineers who built the stack. CANCEL Your Weekend Plans, and Learn to Build AI Agents Today. Bookmark it. Watch it. Build your first production agent this weekend. $5,000/month. $7,000/month. $12,000/month. People are building agents for clients and charging $$$ as Beginners. You're still stuck in the thinking about AI phase. This video fixes that tonight. Follow @codewithimanshu for more high-signal content that actually moves your AI engineering career forward. ↓ Ivan Nardini runs Developer Relations for AI at Google Cloud. He just gave away the entire production agent stack in 30 minutes. This is the talk that separates people deploying AI agents that actually scale from people whose agents break the moment they leave localhost. Here's everything inside. I break down a production AI video like this every week. Follow @codewithimanshu. ↓ The 4-part agent stack that actually scales. Most devs are duct-taping frameworks together and calling it an "AI agent." Ivan lays out the real stack: Agent Development Kit (ADK): open-source, code-first framework for building, evaluating, and deploying agents. Supports Claude models through Vertex AI directly. Model Context Protocol (MCP): lets your agent talk to any tool or data source with one standard. Vertex AI Agent Engine: managed platform for deploying, monitoring, and scaling agents in production. No DevOps headaches. Agent-to-Agent Protocol: open protocol so agents built on different frameworks can actually work together. This is the stack replacing every hacky agent setup in production right now. Full MCP + Claude breakdowns drop weekly on @codewithimanshu. ↓ Building your first real agent. Ivan builds a birthday planner agent live. LLM Agent class. Name it. Define instructions. Pick the model. He uses Claude 3.7 Sonnet. You could use Opus 4.7 for better reasoning. Full agent built in minutes. Not weeks. Watch the build once and you'll never structure an agent the wrong way again. I post agent architectures people pay $500 courses to learn. @codewithimanshu. ↓ Multi-agent systems without the chaos. Single agents are easy. Multi-agent systems are where 99% of builders fail. Ivan extends the birthday planner by: Adding a calendar service through MCP tools Creating an orchestrator agent to route requests between agents Handling state and context across agent handoffs This is production multi-agent architecture. Clean. Scalable. Debuggable. Most tutorials hand-wave this part. This one shows you every step. Multi-agent orchestration content drops weekly on @codewithimanshu. ↓ Deployment without the DevOps nightmare. This is where most AI projects die. You build a cool agent locally. It works. You try to deploy it. Everything breaks. Vertex AI Agent Engine fixes this: Minimal code deployment Automatic monitoring of latency, CPU, and memory Built-in observability and logging No infrastructure setup needed You provide config and requirements. The platform handles the rest. This is how agents actually get to production. Deployment guides for Claude agents post every week. @codewithimanshu. ↓ Agent-to-Agent Protocol: the future nobody's talking about. Most people don't know this exists yet. The A2A Protocol lets agents built in different frameworks communicate seamlessly. Your Claude agent. My LangChain agent. Someone else's CrewAI agent. All talking to each other. All solving parts of the same problem. All without custom integration code. This is the infrastructure layer of the coming AI economy. Getting in early on A2A Protocol is like getting in early on HTTP in 1995. A2A deep dive coming soon. @codewithimanshu. ↓ 30 minutes from the team shipping this in production. You'll learn more from this than from 6 months of YouTube tutorials made by people who've never deployed an agent past localhost. People who watch this understand production AI agents at the architect level. People who skip it keep hacking together frameworks that break every time an API updates. Save the video. Watch it tonight. Build a real agent this weekend. Follow @codewithimanshu for more high-signal content that actually moves your AI engineering career forward.