i asked chatgpt how to plan a funeral. it said to call a few funeral homes and ask for price lists. makes sense when only 18% of them post prices online, it had nothing to show me. every other industry figured out online shopping 20 years ago. this one still runs on phone calls. so 8 in 10 families call one place and say yes to an $8k decision, sometimes from a hospital hallway. why are we fine with that? episode 2 of building an ai-native funeral company in public.

Introducing my building an AI-native funeral company in public series. Our generation does everything online and we care about experiences. But the one experience we’re all going to have? Still feels like a 100 years out of date. Cringe. The US has over 15,000 funeral homes. About 80% are family owned. Rising costs, staffing shortages, retiring owners. The people running these businesses are BURIED in admin while serving people in the toughest moments in our lives. So where the hell does AI come in? • Give owners one place to manage cases, staff, suppliers, and payments • Help small teams serve more families by automating routine work • Reach new customers through digital marketing and online booking • Let families customize, plan and pay for a funeral online • Expand the offering with pre-need plans, customized ceremonies and aftercare Big-company infrastructure for small funeral homes. Can we pull it off? The end goal: a personalized goodbye without the luxury price tag all over US. Let's see!

Introducing Unreal Agent: An open-source harness with state-of-the-art cost efficiency 39% cheaper than Codex+Astra on Terminal-Bench 4.0 while maintaining performance

We see so many launches, but I have never seen a startup funeral. If you have less than a month of runway dm, happy to host a ceremony. Meanwhile vibecoded a cemetery for startups: bury yours and checkout some “dead” celebrities ☠️👇🏻

meet @mostik_ai! what happens when you put 12 PhDs in one room for four months? first place on the ARC-AGI leaderboard, which I can't say much about while the competition is still running. and this, which I can. everyone's arguing about whether open models will catch up to frontier models. we think it's the wrong question. here's the one we pose: why does a frontier model have to generate your answer at all, when the only thing you need from it is the reasoning? we do this by enabling models to communicate in latent space. through our protocol, hidden states pass straight from a frontier model into a small one running on your infrastructure -- no text between them, and neither model is fine-tuned. two models from different families, sharing reasoning, both left untouched. how do we know it works? we tested it on a setup where a 753B model reads the problem, and a 4B edge-class model writes the answer. with this approach, we get results 80% as accurate as the frontier model, but at 20x faster performance. we're committed to preventing frontier model lock-in and are already partnering with inference providers to accelerate open-weight adoption. we've done this between 15 of us, in four months, 12 PhDs and a Fields medalist, backed by @generalcatalyst WIRED has the first external account of the company and the work: wired.com/story/russian-star… full writeup, the setup, and all the numbers: mostik.ai/read-more

In 2013, @cjoneslevy created the SAFE at YC. It's since been used by YC founders to raise $15B+ and has become the standard way startups raise money. So we're launching Send a SAFE: a free tool to generate, sign, & send one in ~2 minutes, built to be used by founders (and their AI agents).