
Amit Sharma 🇿🇦 🇮🇳
5K posts

Amit Sharma 🇿🇦 🇮🇳
@HRguyAmit
Building AI apps in public| Strategy Consultant| Top 10 HR Influencers - SHRM| Are You in The List| TISS| Tweet about People, Culture & Tech









WorkReads has officially been submitted for Google Play. 🤞 One more step toward bringing better reading, sharper signal, and less noise to more professionals. iOS is live. Android, hopefully next. #WorkReads #Android #GooglePlay

Introducing Rork Max Publishing Rork Max can now fill your entire App Store page without you ever touching it. It fills in all the fields, generates beautiful icons & screenshots, makes a mock review so you don't get rejected, and submits for you. Yes, iPad screenshots too.

for project genie, the team needed a new way to visualize world models, so they fired up AI Studio and started vibe coding hear how they did it, from creative coders @isofluff & @kaloyaan




Introducing: PlayerZero The world's first Engineering World Model that puts debugging, fixing, and testing your code on autopilot. We've raised $20M from Foundation Capital, @matei_zaharia (Databricks), @pbailis (Workday), @rauchg (Vercel), @zoink (Figma), @drewhouston (Dropbox), and more PlayerZero frees up 30% of your engineering bandwidth by: 1. Finding the root cause for bugs & incidents in minutes that engineering teams take days to identify. 2. Predicting in minutes, edge case issues that a 300-person QA team would take weeks to find. ------ Here's why this matters: No one in your org has a complete picture of how your production software actually behaves. Support sees tickets. SRE sees infra. Dev sees code. Each team builds their own fragmented view - and none of these systems talk to each other. When something breaks, everyone scrambles to stitch the picture together by hand. PlayerZero connects all of it into a single context graph - → The Slack thread where your lead said "we went with X because Y fell apart in prod last time" → The PR review where an engineer explained the tradeoff → The lifetime history of your CI/CD pipeline, observability stack, incidents, and support tickets So you can trace any problem to its root cause across every silo. And it compounds. Every incident diagnosed teaches the model something new. The longer it runs, the deeper it understands - which code paths are high-risk, which configurations are fragile, which changes tend to break which customer flows. So when you sit down to debug a live issue, you have your entire org's collective reasoning and production memory behind you - instantly. ------ Zuora, Georgia-Pacific, and Nylas have reduced resolution time by 90% and caught 95% of breaking changes and freeing an average of $30M in engineering bandwidth. ------ Our guarantee: If we can't increase your engineering bandwidth by at least 20% within one week, we'll donate $10,000 to an open-source project of your choice. Book a demo - bit.ly/3NlLMeN






