Blitzy

🚀 "3,000+ AI Agents Are Building 6-Month Code Projects in 6 Days? Here's How We're Making It Happen!" While most AI coding assistants tap out at 2,000 lines of code, we're pushing boundaries with a groundbreaking orchestration layer that coordinates 3,000+ AI agents working in harmony. The results? They're honestly incredible: ✨ What We've Built: • 40,000 lines of quality code • 10 hours thinking time • 2-3 hours generation time • 1 week of human engineering for final touches Here's the secret sauce I shared with Prof. David B. Yoffie from Harvard Business School: We've engineered our AI agents to always operate in their optimal context window. No more quality degradation with scale - just clean, efficient code generation. 🎯 The Bottom Line: Projects that traditionally took 6 months? We're wrapping them up in 6 days. And yes, that's with production-ready quality! Huge shoutout to Brian Elliott and our incredible team at Blitzy for pushing the boundaries of what's possible with AI development. 👀 Want to see how we're revolutionizing software development? Watch the complete conversation on youtube to dive deeper into our journey of making the impossible possible. #ArtificialIntelligence #SoftwareDevelopment #Innovation #TechRevolution #GenAI #AgenticAI #TechInnovation #FutureOfCoding #CodeGeneration #TechStartup

These two: Siddhant Pardeshi and Brian Elliott - founders of Blitzy, Harvard Business School grads, and today, adding PA to their resumes. Pictured here, hauling out camera gear into Spangler on HBS Campus for a presentation on #genai and Blitzy’s evolution. Some great content coming your way on our YouTube channel (@blitzyai) and here. #generativeai #entrepreneurship #softwaredevelopment #agenticai #artificialintelligence

The AI Arms Race is ON! 🏁 And We're All Winners! 🏆 Brian Elliott and I sat down to discuss Anthropic's newest mic drop—prompt caching. 🎤 🤯 🔮 Prediction: The other AI giants are stirring - OpenAI and Google Gemini won't be far behind. 👀 But here's the kicker... Everyone's a winner in this race! Enterprises, startups, end-users - we're all riding the wave! 🏄♀️ 🌊  The Bottom Line? It's an AMAZING time to be building applications (especially with Blitzy😉)! 🏗️ The AI toolkit is expanding, costs are dropping, and innovation is through the roof 🚀 📺 The full conversation is now LIVE on our YouTube channel. Whether you’re a startup, dev shop, or enterprise developer give our video a watch and get ready to seize this opportunity! #AIRevolution #TechInnovation #FutureIsBright #AIForAll #CompetitionWins #BuildTheFuture

I attended Flybridge Founders week alongside some of the fastest growing early stage start-ups and I would sum the conversations up with 1 word.... Tactical---> Here are 3 tactical learnings from Builders on the frontlines of growing early stage technology companies. Zach Shefska at CarEdge talked about leveraging youtube as video-first approach to growing a brand and ultimately generate demand with 'negative CAC'. After his talk, I had a great 1 to 1 convo with Zach on the approach to creating partnerships with other creators, as has a meaningful following on Youtube (only 20% of CarEdge, these guys are pros!) but we've been wrestling with this question internally. They had the same question at our scale and tried it all. Their conclusion, simply direct message from 1 creator account to another is the highest yield. No intermediary, no agencies, just an old fashion direct reach out. That tip saved me a lot of future experimentation and we've already put this into effect. Andre McGregor and the amazing team at ForceMetrics (quick break, Dad, AKA--Dr. Robert E.--you gotta share this with the folks you know in Law Enforcement Leadership positions, this company is making a safer world for all of us, end break) got very real about the Series A fundraising environment, and how you had to nail both the metrics and the storytelling to get it over the goal line. Andre McGregor also demonstrated his ability as a storyteller live, so it was a live example of what great looks like. Finally, on brand and in true Harvard Business School Professor fashion, Flybridge Co-founder Jeffrey Bussgang, led an interactive case study on 3 start-up with the founders in the room as a part of it, where a group of 50 operators collectively worked through the challenges they we're working through. The collective takeaway: Taking an AI-Native approach to company building within every vertical (not just your own product) has the power to led to an unforeseen levels of velocity. Thanks to the additional folks I was able to learn from this week including Nick Ornitz, Ashley Moser, Matt Mireles, Elias Torres, Tim Delisle, Jesse Middleton, Chip Hazard, Shiza Shahid, Christina Heggie, Pierre-Olivier Lepage, Julisa Salas, Will Greene, James Theuerkauf, Anada Lakra, Dennis Crowley, Emily Dong, Tom Mulvey, Michael Aiken, Brendan Cronin, Zachary Zaro, Hassan W. Bhatti, Paul Sizaire I was happy to provide a small amount of value back to this group by giving a talk on how Blitzy can dramatically increase product velocity. My calendar is full next week with follow up calls with folks who we're eager to learn more on how we will get their 6 month product road map completed in 1 month by leveraging Blitzy's solution. Message me if you're a product leader and want to do the same.

These 34 fast growing, early-stage startups each raised $5-10M from top-tier VC funds in the past few weeks and are now HIRING: 1) Fermah - universal proof generation (remote) 2) Protege - AI training data platform (remote) 3) MOTHER GAMES - gaming (NYC / Remote) 4) Clout Kitchen - AI gaming buddy (LA / Manila) 5) Lanai Software - AI operating system (Bay Area) 6) Blitzy - AI software agents (Cambridge) 7) Reducto - data ingestion for LLMs (Bay Area) 8) Presti (YC S24) - engaging product visuals (Paris / remote US) 9) Artisan - outbound employees powered by AI (remote) 10) Tetrix - insights into alternative investments (NYC / Montreal) 11) Convergence - personal AI assistants (London) 12) Bluebricks - cloud infra for scale (US / Tel Aviv) 13) Ephos - glass computational power (Milan) 14) Acuvity - Gen AI security (Bay Area) 15) Reflect - in-space reflectors (Hawthorn) 16) Hgen - clean hydrogen (LA) 17) Plural - self-hosted Kubernetes fleet management (NYC) 18) Campfire (applied AI company) - games / entertainment (Bay Area / US remote / Canada) 19) Taelor - menswear clothing rental (remote / Hayward) 20) Conceive - membership platform for fertility (Remote) 21) Portex - freight management (Bay Area / remote) 22) Aerflo - beverage consumption experience (NYC) 23) Cercli (YC S23) - payroll for MENA companies (Dubai) 24) Legion Health - psychiatric care (US remote / Argentina) 25) Mozper - financial education platform for children (São Paulo / Colombia / Mexico / Remote) 26) e6data - high-performance lakehouse compute engine (Bangalore) 27) Wayfaster - interview faster (NYC) 28) Billables AI - manage billable hours (Bay Area / remote) 29) Augmodo - augment retail workforce (remote) 30) Magie - payments via Whatsapp (Sao Paulo) 31) Cerrion - OEE and production line safety (Zurich) 32) Thread AI- AI infrastructure (NYC) 33) Wispr Flow - voice intelligence (Bay Area) 34) Lorikeet - AI customer support (Sydney) links to all of their career pages will be in the comments 👋 for more lists like these every week, follow me here: Ben Lang ✨ if you’re thinking about what’s next (joining a new company or building a startup), check out next play 🙏 thank you Harmonic (startup database) for helping source the data

Who knew the blueprint for #AISafety was... collaboration?    In my latest article, I dive into how OpenAI and Anthropic (side note-->William Stranzl is an elite account manager at Anthropic supporting Blitzy, promote this man!), are constructing a safety scaffold with the U.S. government’s Artificial Intelligence Safety Institute to ensure responsible #AI development. The arrangement feels like everyone on a construction site finally acknowledged some pre-cautions like wearing a hard hat may be a reasonable first step. An open tension exists, however, between letting innovation flourish while fortifying safety in AI. Do you think the model early access program is the right policy? I explore the policy in the below article! Comment your feedback so we can all learn together! #AIEthics #TechPolicy #ArtificialIntelligence