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Greptile () YC W24 has raised $25m to Kill The Bug. A few months back I sat down with Daksh Gupta to talk about what they've built, how it's being used by thousands of engineers at the biggest companies in the world and why catching software bugs is one...

34,689 Aufrufe • vor 11 Monaten •via X (Twitter)

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WARP SPEED: EPISODE 4 - starring Daksh Gupta, CEO of Greptile Daksh Gupta The core difference between human productivity and every other species? Tools. On the margin, slightly better tools create long-term efficiencies that unlock time for more important things. Daksh, Soohoon Choi , and Vaishant Kameswaran built Greptile into one of the fastest-growing AI code review platforms in the world. $25M Series A led by Benchmark . YC-backed. 16 people. 500M+ lines of code reviewed this month alone for companies like Brex, Substack, and PostHog. The insight: AI coding tools are exploding. Cursor, Claude Code, Devin. Everyone's writing more code than ever. But the systems for validating that code before it ships? Breaking down. Greptile is the independent, centralized validation layer - AI that reviews pull requests, catches bugs, enforces standards. Daksh didn't plan to start a company. He was in senior year when he realized he'd lost his way. Remembered why he chose CS in the first place: to build things. He then convinced his college roommate - "the smartest person I know" - to move to San Francisco with barely enough angel money to survive. Now they're one of the most craft-obsessed teams in SF - using Linear, Claude Code, Cursor, and Warp to ship at warp speed. In this conversation: (0:00) - From losing his way in college to moving to San Francisco (1:24) - Applying to Y Combinator and building the foundations of Greptile (2:37) - Hiring more senior than typical: arbitraging ageism in Silicon Valley (3:40) - Building a company worthy of people who could go anywhere (4:14) - The new bottleneck: producing code is worthless without validating it (4:52) - The Greptile stack: Linear, Claude Code, Cursor, Warp (5:55) - "People talked about Warp with a passion you wouldn't expect for back-office software" (6:17) - The magic of heavy automation: "I'm never in it" (6:42) - Built for engineers, not HR people: "When you're used to confusing software, simple things are just delightful" (7:46) - Scaling from 15 to 50: "Whatever will go wrong, Warp will have functionality for it" (8:55) - Discovering Warp on Twitter: "Why are people so excited about payroll?" (9:35) - "It inspires you to build more intuitive things"

Ayush S

27,984 Aufrufe • vor 9 Monaten

This is the biggest irony in tech history. Microsoft beat revenue estimates. Stock plunged 11%, wiped out $400 BILLION in market cap. Salesforce reported growth. Stock fell 5.6%. ServiceNow beat earnings. Stock crashed 11%. SAP beat projections. Stock dropped 16%. Entire software sector entered bear market territory. Down 22% from peak. These are the companies everyone said would WIN from AI. They spent billions BUYING AI companies. ServiceNow: $7.75 billion for Armis. Salesforce: $8 billion for Informatica. They launched AI products. Built AI workflows. Hired AI teams. And the market said: You're all dead. Because investors just realized something nobody wanted to admit: AI doesn't make software companies stronger. AI makes software companies OBSOLETE. Morgan Stanley: "In an environment of heightened investor skepticism, stable growth falls short of shifting the narrative." Good earnings aren't enough anymore. The market is pricing in a world where AI replaces the software these companies sell. ServiceNow CEO tried defending on the earnings call: "AI needs workflow orchestration. ServiceNow is the gateway to this shift." Market response: 11% crash. Because here's what he didn't say: If AI can write code, automate workflows, and generate apps at a fraction of the cost, why would anyone pay $50,000 per year for enterprise software licenses? The per-seat pricing model that made SaaS companies rich is getting murdered by AI efficiency. One AI agent replaces 10 seats. One prompt replaces months of custom development. One LLM call replaces entire software categories. Klarna already proved it. CEO said they pulled Salesforce out of their stack. Built everything themselves using AI. And that's just the beginning. The software apocalypse hit hardest on companies that INVESTED IN AI: Atlassian: down 12.6% Intuit: down 7.8% HubSpot: down 11.5% Zscaler: down 6.3% Meanwhile, the companies ENABLING AI made money: Nvidia: up Semiconductor stocks: surging Memory firms: rallying The divide is brutal. Hardware companies print cash. Software companies get destroyed. Because in an AI-first world, you need GPUs to build the models. But you don't need software subscriptions when the AI builds the software for you. Jim Cramer called it the "P/E multiple compression crisis." Translation: Investors don't care about earnings anymore. They care about whether your business model survives the next 5 years. And right now software business models look doomed. They're literally stuck: If they DON'T invest in AI, they fall behind. If they DO invest in AI, they cannibalize their own products. It's a death spiral with no exit. ServiceNow spent $12 BILLION on acquisitions in 2025 alone. Trying to buy their way into relevance. And yesterday the market cooked them. The craziest thing to me tho... Most software companies beat earnings. Revenue was solid. Growth was fine. But it didn't matter. Because the market stopped pricing software on what it earns TODAY. It's pricing software on what it's worth in a world where AI does the job for free. And in that world these companies are worth nothing. This is the biggest sector repricing since 2008. $500 billion in market value gone in ONE DAY. And it's not stopping. Because every company watching this is thinking the same thing: "If I can replace ServiceNow with 3 AI agents and save $10 million per year, why wouldn't I?" The answer used to be: "Because you need enterprise-grade reliability." But now? AI agents are getting reliable. Fast. Software companies just realized they're competing with open-source models that cost $0.02 per 1,000 tokens. You can't win a pricing war against free. The companies that spent BILLIONS preparing for AI are getting killed BY AI. What an irony.

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1,815,322 Aufrufe • vor 6 Monaten