Listen Labs is joining @Salesforce! A year and a half ago we launched Listen, an AI platform for understanding customers, and it’s been a crazy ride ever since. Today, we work with some of the largest companies in the world, including Microsoft, Anthropic, and Sweetgreen. What started as an AI interviewer is now a full platform for understanding customers. Listen finds the right people, interviews them, analyzes what they say, and even simulates how they'll behave. Listen’s growth quickly accelerated and while we were raising our next round, we met @Benioff. Marc is a hero of mine. I've taken countless ideas from Behind the Cloud and watched him framemog every AI CEO on the planet. We're honored to get framemogged next. With Salesforce, we can bring Listen to every company in the world, much faster. To our customers, our mission remains the same.I stay CEO, @Florian stays CTO and the same team will keep building the product you rely on, now inside Salesforce AI Labs. Thank you for believing in us early. To our team, families, and everyone who believed in us before there was much to believe in, thank you. These years have been the most fun years of my life, and it’s still only just the beginning for Listen. Now back to work. 🚀

Glad to announce our Series A, bringing on some incredible partners to support us in solving one of the fundamental problems in AI.

Today, we're introducing Mach-1 Additive, a 35 billion parameter model that can inference without ever multiplying by a weight. At 1.7 bits per weight, Mach-1 recovers 95% of the performance of the original full precision model, Qwen 3.6 35b, across 12 agentic and reasoning benchmarks, while being 10x smaller. At 7GB, Mach-1 comfortably fits on consumer laptops with speeds of up to 120 tokens per second, making local inference not just feasible but useful. Unlike algorithms like BitNet, our approach requires minimal retraining, under 15 GPU hours, making it scalable to massive LLMs. Over the coming weeks, we will be announcing and serving models of up to 3 trillion parameters compressed using our algorithm. For now, you can visit our website to play with Mach-1 directly in your browser, or download our desktop app. We couldn't be more excited to launch Mach-1. We're looking forward to an energy efficient future for AI, powered by scaled intelligence density.

🚀 Today we’re coming out of stealth and unveiling @ShiplightAI, the most reliable AI-native testing platform that scales E2E test coverage with near-zero maintenance. For years, software teams have accepted a painful tradeoff: Move fast and risk breaking production, or slow down under the weight of brittle tests and endless QA maintenance. AI-assisted coding makes this gap even wider. Modern teams ship faster than ever. Products change daily. Yet testing is still stuck in a world of scripts, manual upkeep, and fragile workflows that collapse the moment your UI changes, making testing the new bottleneck. Feng and I built @ShiplightAI to make testing a force multiplier for modern software teams. As AI accelerates coding, autonomous, reliable testing closes the loop from code to confident releases. Our goal is simple but ambitious: Make test coverage effortless, and teams can ship with confidence anytime. This mission is personal for us. Throughout our careers, we’ve always been obsessed with building high-quality software that lasts. We’re already trusted by some of the most innovative, fast-moving teams. Seeing Shiplight earn their trust and transform their release cycles is the strongest signal that we’re building something real. We’re grateful to be backed by Pear VC (Shravan Reddy, Mar Hershenson) and Embedding VC (Roger Luo), along with incredible angels like Oliver Jung. We’re just getting started, and we can’t wait to partner with more teams who are building fast and care deeply about quality. 👉 Book a demo: shiplight.ai/demo #AI #SoftwareEngineering #QAAutomation #ShiplightAI #AgenticAI

Introducing Ideogram 1.0: the most advanced text-to-image model, now available on ideogram.ai! This offers state-of-the-art text rendering, unprecedented photorealism, exceptional prompt adherence, and a new feature called Magic Prompt to help with prompting.

Hundreds of startups will birth out of this space. Congrats to @pearvc ‘s grand opening of a massive office in SF for founders. 200 desks —one of the largest venture spaces in the Bay Area. There’s a line down the block to get into the opening event. Thanks @arasha for the warm welcome.

We are excited to announce Pear SF Office: a 30,000 sq/ft state of the art office with 240 desks and 20 conference rooms, building a community for tech builders and entrepreneurs. @pearvc

We're thrilled to share that, after spending the last year as a Visiting Partner with us, @arpans has officially joined Pear as a Partner. Read more about Arpan on our blog today! pear.vc/welcoming-arpan-shah…

DEMO DAY IS LIVE! Join us at demoday.pear.vc! Pitches starting shortly.

Today is a big day: @OrbyAI is out of stealth and we're pleased to announce that we co-led their $4.5M seed round. Orby is using #GenerativeAI to automate repetitive and mundane tasks. Go Orby! businessinsider.com/ai-power…