Dan Krieger (@dankrieg) header
Dan Krieger (@dankrieg) profile picture

co-founder @raisi_ai | research collaborator on multi-agent simulations @ Berkeley | AI optimist

San Francisco
Joined March 2024
Photo by Dan Krieger (@dankrieg)Photo by Dan Krieger (@dankrieg)Photo by Dan Krieger (@dankrieg)Photo by Dan Krieger (@dankrieg)Photo by Dan Krieger (@dankrieg)Photo by Dan Krieger (@dankrieg)Photo by Dan Krieger (@dankrieg)Photo by Dan Krieger (@dankrieg)Photo by Dan Krieger (@dankrieg)Photo by Dan Krieger (@dankrieg)
Dan Krieger retweeted
A few of our favorite moments from SF Tech Week. From pitch preparation at Plug and Play to breakfast at Frontier Tower, deep-tech demos aboard the USS Hornet, and Founder Investor Day at Finix HQ, thank you to everyone who joined us to talk about building companies, raising capital, and what investors actually look for. Thank you to our hosts, sponsors, and partners across the week: @PlugandPlayTC, Seed2Table, @frontiertower, @The_NetworkFirm, Contextful, @finix, @Navan, @BakerTillyUS, and @sprintoHQ. A special thank you to our speakers and moderator for sharing their time, experience, and honest perspectives: @RobertHarary, Dave Younts, Daven Nijran-Talwar, @KarnikaYashwant (KEY), Arseny Klekovkin, John Huang, Ashley Trick, @riohodges__, Brooke LeBlanc, Yash Alluri, Adam Henderson, Arjun Vad, @arjunraime, Kendrick Kho, @ldervisheva, @pedropiscodias, Pete Frischmann, Sarah Loveland, @1ankursethi, Adam Pluemer, Aidan Banafsheha, Vinit Bhansali, Rumika Sharma, Toly Kvitnitsky, Jiatao Fan, Amit Jain, @TweetsFromPawan, @thomastjoshi, Asit Kumar Sahoo, and @EmanuelPleitez. To the founders who pitched, asked questions, and shared what they’re working on, and everyone behind the scenes who helped bring these events together: thank you. See yourself in the recap? Share your favorite moment with us. #SFTechWeek #Raisi
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Dan Krieger retweeted
Linq sponsored the AI assistant meetup last night with @merit_systems, @AlphaSignalAI, @browserbase, @mem0ai & @crossmint. Thanks everyone for coming out!
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Dan Krieger retweeted
The new Roadster will actually do something like this
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Dan Krieger retweeted
Turns out the future does have flying cars
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Dan Krieger retweeted
Super pumped to announce 6 AI assistant legends who will be given the spotlight at the upcoming AI Assistant SF meetup on Oct 19th - Justin Quan, Co-Founder at @tomo - Wyatt Lansford, Co-Founder at @pally - Dan Krieger, Founder at @UseIrisAgent - Darshan Golchha, Growth at @orchid_hq @onkeiki - Carlo Edoardo Ferraris, Founder at @NaturaAI - Stanley Virgint, Founder at @soarapp maybe even a pitch prize to be announced... If you run an AI assistant, hit me up! RSVP Here: luma.com/wabd65c0
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Dan Krieger retweeted
The first AI robot to ring the bell on Nasdaq
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Dan Krieger retweeted
Still thinking about an incredible evening aboard the USS Hornet with Seed2Table and Contextful during SF Tech Week. We enjoyed meeting founders, hearing about their companies, and catching up with investors and partners throughout the evening. Thank you to everyone who took the time to connect with the Raisi team. Helping founders build investor relationships is central to our work at Raisi. It was a pleasure to spend time together in person and hear what people are working on. Thank you to Seed2Table, Contextful, and the sponsors who made the evening possible: @KPMG, @Delta, Croke Fairchild Duarte & Beres, Loud Solutions, BE&K Building Group, @sprintoHQ , @justworks, DealMaker, @UseCorgi, and @Fidelity. #SFTechWeek #Seed2Table #Raisi
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Introducing OpenAI’s Dots x Higgsfield. Your always-on Higgsfield creative crew keeps working while you’re away. Check in by text, call or email, and pause the work whenever you need. Powered by GPT-6.1 Sol.
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Dan Krieger retweeted
We’re live on @producthunt with Iris today. Context is a big part of what we’re building. Instead of repeatedly making you explain the same things – the more Iris works inside your company’s workflows, the more context it can carry into the next task. A few things we care a lot about as we build: • model agnostic because we want to use the right model for the task, not force everything through one provider • self-hosted routing for sensitive company data and IP-heavy work • expensive reasoning where it actually improves the outcome, not on every single task • a very simple interface with most of the complexity happening underneath • memory that makes recurring workflows meaningfully better the more you use it This video shows what that compounding context loop starts to look like ↓
Hey, we just went live on @ProductHunt with Iris! we’re building AI agents for the work that gets stuck between people and apps. a customer needs an update. engineering is waiting on a decision. someone needs to check the CRM, read the Slack thread and follow up. you end up coordinating the whole thing yourself. Iris brings agents into those workflows to help gather the information, prepare the next steps and keep work moving across the tools your company already uses. there are a few things we care a lot about ↓
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Dan Krieger retweeted
TypeSafe AI's Diogo Almeida with a16z's Ben Horowitz and Martin Casado on Jev, the model built to live inside software: Diogo's elevator pitch for Jev is a simple question - where is all the automation? AI is unbelievably smart, but outside of chatbots and coding agents, it hardly touches any real work. His diagnosis is the industry built models that generate text for humans to read, and software can't consume that output. Jev reads natural language and returns a choice from a set of options with a confidence level assigned to each, so developers can build programs that reason about intent and make probabilistic decisions rather than relying on human interpretation. TypeSafe's philosophy is "We build prod, not God." 0:50 "Where the f**k is all the automation?" 2:50 Jev vs. Claude Code and Codex 6:55 Jev is a classifier and classifiers are sick 7:40 Chat vs. code: is Jev a slider? 9:00 Diogo: From mathlete to Kaggle to OpenAI 12:20 "We build prod, not God" 15:55 Reliability over demos 16:55 2021 thoughts: RLHF is AGI? 20:45 Optimizing for the wrong use case 21:50 Is the real world too messy to automate? 25:00 Nobody expected the Jev launch 26:35 Three kinds of reliability 28:05 Good at syntax, bad at architecture 30:00 The inverse SaaSpocalypse 33:40 Why coding agents automate so little 36:05 Probabilistic programming returns 38:45 Jev as the UDP-to-TCP layer for AI 40:20 The 5 stages of grief for embedding AI 41:30 Utopia: AI that actually does what you mean YouTube: youtu.be/Ut3LOjKNJaE @CompleteSkeptic @typesafeai @bhorowitz @martin_casado
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Dan Krieger retweeted
Jev is going to change the prosumer/consumer AI landscape by unlocking a specific thing: Ad-supported + free AI native apps this is going to usher in a generation of new AI-native marketplaces, social networks, photo apps, messaging, calendars, email, collab tools, and much more. Why? Previously, if you wanted to have an AI-native app with multiple/fast LLM calls on every screen, the math just didn’t work - inference costs just couldn’t be paid back from throwing a few video ads or affiliate links. So there were really just two solutions: 1) be a massive company and subsidize AI costs 2) charge a subscription fee to cover inference (or both) So what happens when you take a different approach that’s looks to be, initially, >400x cheaper than a more general LLM? I think it means that app developers are going to make their apps smarter and different in interesting ways. It won’t be as generically powerful as LLMs, but instead folks will create highly differentiated point solutions. You may not have a generically powerful virtual admin to schedule all your meetings, but you may have a free/ad-powered assistant that can comb through your inbox, filter for only important emails, figure out important dates, prioritize contacts, and do other interesting 80/20 work. Same for generically powerful virtual companions, or app builders, etc - it may be that we can hybridize the LLM and future Jev-like models that adds “wow” features at 1/1000ths of the cost, to make the economics work. If folks hear of interesting new apps/interactions/etc built on Jev, I’d love to hear it!
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Dan Krieger retweeted
Remember how eagerly the press swallowed stories about how Twitter was going to crash after Elon bought it? How could they have believed that someone who could run rocket and car companies couldn't run a forum?
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Dan Krieger retweeted
iHermes is now Iris. same product. same assistant. a name that fits where we’re taking it. Iris is your personal AI assistant for getting work done across the tools you already use, directly from iMessage. more coming soon.
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HOLY SH*T THIS IHERMES IS INSANE Instinct and Muse users after watching this:
🤝 Paid partnership
Introducing iHermes A personal AI assistant powered by Hermes Agent, with GBrain for memory. You talk to it in iMessage. We're huge fans of Hermes. We've been using it to build internal systems and automate work, and we wanted more people to get that kind of value without having to set up the whole thing themselves. Start with one text. Connect the apps you use, hand off a task, and let it work through the steps. It keeps useful context from your earlier work and follows up proactively. Our goal is to make iHermes the most transparent and secure personal assistant in iMessage, built around the person using it. Your assistant should work for you.
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Dan Krieger retweeted
never seen a personal agent use gbrain before! very interesting i used poke for almost a whole year before switching to muse and it had terrible memory/context!
Introducing iHermes A personal AI assistant powered by Hermes Agent, with GBrain for memory. You talk to it in iMessage. We're huge fans of Hermes. We've been using it to build internal systems and automate work, and we wanted more people to get that kind of value without having to set up the whole thing themselves. Start with one text. Connect the apps you use, hand off a task, and let it work through the steps. It keeps useful context from your earlier work and follows up proactively. Our goal is to make iHermes the most transparent and secure personal assistant in iMessage, built around the person using it. Your assistant should work for you.
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Dan Krieger retweeted
Your data room should do more than store files. Introducing the new Raisi Data Room: - Automatically creates missing documents for you - Identifies gaps across your existing materials - Shows detailed analytics at the individual file level - Gives you complete control over who can access sensitive information The first data room that helps build itself. Now live in Raisi. Hear about it from our CTO, @holdbru
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Dan Krieger retweeted
We're at it again. 🚀 Founders in the @tryramp ecosystem can now use Raisi FREE for 1 year thanks to our partners at Ramp. ramp.com/partners/raisi Huge thank you to Alua Telemtayeva Adam Snyder, Omri Remez, and Cam Mannion for making this happen Together, we’re giving founders easier access to the tools they need to operate, raise capital, and grow. Already using Raisi? Open the app to access Ramp and get an exclusive deal on your Raisi subscription Building a company? We’d love to hear from you.
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Dan Krieger retweeted
If you want to start a startup, don't learn "entrepreneurship." Learn how to build things. The hard part of startups is not "entrepreneurship" but product: to know what to build, and to be able to build it.
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Dan Krieger retweeted
Against all odds. Congrats @elonmusk and @SpaceX.
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