We’re working with clients like @drink_AG1 and @Kalshi to replace marketing agencies with AI. Marketing teams still wait weeks for ads, landing pages, and results. @uplane_com generates hundreds of ads with matching landing pages, and steers ad spend across channels like Meta, Google, and TikTok toward whatever performs best. Upane automatically researches markets and audiences, creates on-brand assets, launches campaigns, runs A/B tests, and shifts budget toward the strongest results. Every outcome feeds back into the system, so Uplane keeps learning from what actually works. The marketing teams we work with make the final call on what is launched, while Uplane takes over all of the repetitive manual work, and increases ROAS by on average +30% for our clients. Book your 3 month head-to-head: Uplane against your current setup. Link in the first comment. Incredibly excited and grateful to be building this with Marvin Abdel-Massih and Lukas Vollmer and the amazing, hardest-working Uplane team. And thank you for your relentless support: @retripaladin @t_blom @greybaker @MikeMahlkow @HarryStebbings

Today, we’re announcing our $5.3M seed round, led by CIV. There is a rare window right now to redefine how some of the world’s most legacy software gets rebuilt across banks, airlines, governments, and large enterprises. For decades, mainframe modernization has been a massive human undertaking: multi-year programs, tens of millions of dollars, and large teams reconstructing, rebuilding, and verifying systems that nobody fully understands anymore. We started Hypercubic with a simple thesis: mainframe modernization should become a repeatable, software-driven process rather than a bespoke human undertaking. Over the past year, we’ve made several breakthroughs in an attempt to build the most capable mainframe modernization platform one that can understand, rebuild, and verify critical systems at high velocity. We’re already seeing with customers how dramatically parts of the modernization lifecycle can be compressed. The industry is not used to the speed we now know is possible. Today, this work remains fundamentally a human labor problem. We think it can become a computational problem instead. @aayush_naik and I are building a small, high-caliber team to go after this. If this problem excites you, please reach out, we’re hiring exceptional people across the team!