Today we're launching @vorflux 2.0: AutoBots, 24x7 coworkers that live in Slack. I previously co-founded @Rippling, now $10B+, engg team of 1000s. Engg changes crazy fast now. IDE autocomplete > CLI > Cloud agents > multi-player slack agents Models deliver predictably now. Bottleneck to parallelism is to initiate, keep track and ping the right people for approvals. Hire from our directory of opinionated AutoBots or make a new one with a goal. Bring your Codex/Claude Code subscriptions and Vorflux is practically free. We recently closed a $15M seed round for @vorflux backed by @ycombinator, @peakxvpartners, @alliancedao, along with incredible partners including @parkerconrad, @immad, @typesfast, @jake_zeller, @balajis, @nivi, @metakovan, @lmrankhan, @nikitabase, @0xrwu, @ayushjaiswal, @mattshumer_, @eshamanideep, @sreeramkannan, @dvcoolster, @nusimow, @TeddySolomon11, @ashtoncofer, @rvivek, and others. Lmk which autobot you’d like to try and we’ll double your credits to try. Chapters: 0:00 Introducing Vorflux 2.0 0:22 From manager to director 0:44 How an AutoBot works 1:04 Cloud setup 1:25 On-call AutoBot 1:42 Project manager AutoBot 2:03 Customer experience AutoBot 3:01 Designer AutoBot 3:52 Social AutoBot 4:51 Open and frontier models 5:23 Always-on agents

Network School has officially launched in Kazakhstan 🇰🇿 On September 2, Superteam Kazakhstan co-hosted the official launch of @ns Kazakhstan at alongside the Ministry of AI and Digital Development and @AstanaHub.

An Illinois woman named Carrie Walsh, who was "obsessed" with the Lindsay Clancy trial, has killed her 2-year-old son Barrett, hanging him, saying she thought he was "the devil" and "the antichrist." Follow: @AFpost

This is incredible. Ten years ago every deck out of India was a discount on something you already bought. Now it's launch vehicles, semiconductor lines, SMRs, defence drones built by people in their twenties. Rooting for you guys and all the builders.

#143#: #AIRadarDaily# — @vorfluxai There is a quiet, exhausting reality inside every software engineering team today. We have entered the era of AI coding assistants, but most of them act like brilliant, amnesiac junior developers. They can write a quick function if you hold their hand, but they can't investigate a complex bug, plan a multi-file architecture, or verify if the code they just wrote actually runs. Engineers are forced into a terrible trade-off: either spend hours prompting, guiding, and cleaning up after an AI, or just write the code themselves. We have made generating lines of code effortless, but we have left the hardest parts of software engineering — planning, testing, and reviewing — entirely to expensive human bandwidth. It takes builders with a profound grasp of engineering at scale having built the underlying infrastructure for one of the most complex SaaS platforms in the world to solve this at the root. That is exactly what Prasanna Sankar (@myprasanna), Anant Nag (@nntnag17), and Haritha Elango (@harithaelango) are doing with Vorflux. Founded in 2026, the team is building a deeply intelligent, autonomous autopilot for software engineering that acts as an entire AI engineering team, taking a problem from a Jira ticket to a tested, production-ready pull request. Instead of relying on a single model to do everything, Vorflux deploys an open, multi-model harness of specialized sub-agents — planners, builders, reviewers, and QA testers — working across models like Claude, GPT, and Gemini. When a task is triggered by a Slack message, a webhook, or a Sentry error, it explores the codebase, builds a plan, and writes the code. But crucially, it is adversarial by default: a model from an entirely different AI lab reviews every plan and every diff before it reaches you. The true moat here is uncompromising reliability paired with verified output. Vorflux doesn't just hand you a raw text snippet and hope for the best. It clones your full stack onto a dedicated machine, runs the actual test suites, drives a real browser, and records video proof of the working feature right on the PR. It completely abstracts away the soul-crushing busywork of manual testing, shifting the paradigm from unguided vibe-coding to deterministic, scalable software engineering that ships while you sleep. The market? High-velocity engineering teams, technical founders, and fast-scaling enterprises who desperately need to clear their backlogs and scale their development output without linearly scaling their headcount. Seeing a founder of this caliber head-down, quietly architecting the heavy-duty infrastructure that fundamentally changes how software is built, is profoundly inspiring. They are giving engineering teams their velocity and their deep focus back. Let's celebrate the builders. w/ @jaybharatingle #AI# #DeveloperTools# #ProductNation#