Kore

Partner Hofan Capital; investing in over 100 early stage startups in their seed, Angel, A rounds.

[Kore @cryptokoreso]

@thinkwithmark awesome

[Kore @cryptokoreso]

@thinkwithmark awesome!

[Kore @cryptokoreso]

One of the most common mistakes I see in consumer and hardware investing: founders confuse online traction with offline readiness. #ConsumerInvesting #Retail #BrandStrategy #Amazon #DTC #Crowdfunding #GlobalExpansion #HardwareStartups #RetailStrategy #VentureCapital

[Kore @cryptokoreso]

@runsonai @steipete how to activate

[Kore @cryptokoreso]

@daluoseo agreed

[Kore @cryptokoreso]

I made an iPod in 2026 — except it’s actually my Apple Watch in a RePod shell.
It lands immediately as a conversation-starting object. The visual surprise is strong enough to earn saves and shares.
#AppleWatch #TechGadgets #RetroTech #RePod #techpod #wwdc2026

[Kore @cryptokoreso]

@akokoi1 官方 app 在哪

[Kore @cryptokoreso]

Oura gives you scores. The future is wearables that let you run experiments on your own body. Open signals, open protocols, bespoke software. I might build an "OpenRing" to start.

[Kore @cryptokoreso]

@karpathy This is such a compelling example of what bespoke software could become. Wearables should evolve in this direction too — less black-box scoring, more tools for running real N=1 experiments.

[Kore @cryptokoreso]

@karpathy This is such a compelling example of what bespoke software could become. Wearables should evolve in this direction too — less black-box scoring, more tools for running real N=1 experiments.

[Andrej Karpathy @karpathy]

Very interested in what the coming era of highly bespoke software might look like.

Example from this morning - I've become a bit loosy goosy with my cardio recently so I decided to do a more srs, regimented experiment to try to lower my Resting Heart Rate from 50 -> 45, over experiment duration of 8 weeks. The primary way to do this is to aspire to a certain sum total minute goals in Zone 2 cardio and 1 HIIT/week.

1 hour later I vibe coded this super custom dashboard for this very specific experiment that shows me how I'm tracking. Claude had to reverse engineer the Woodway treadmill cloud API to pull raw data, process, filter, debug it and create a web UI frontend to track the experiment. It wasn't a fully smooth experience and I had to notice and ask to fix bugs e.g. it screwed up metric vs. imperial system units and it screwed up on the calendar matching up days to dates etc.

But I still feel like the overall direction is clear:
1) There will never be (and shouldn't be) a specific app on the app store for this kind of thing. I shouldn't have to look for, download and use some kind of a "Cardio experiment tracker", when this thing is ~300 lines of code that an LLM agent will give you in seconds. The idea of an "app store" of a long tail of discrete set of apps you choose from feels somehow wrong and outdated when LLM agents can improvise the app on the spot and just for you.
2) Second, the industry has to reconfigure into a set of services of sensors and actuators with agent native ergonomics. My Woodway treadmill is a sensor - it turns physical state into digital knowledge. It shouldn't maintain some human-readable frontend and my LLM agent shouldn't have to reverse engineer it, it should be an API/CLI easily usable by my agent. I'm a little bit disappointed (and my timelines are correspondingly slower) with how slowly this progression is happening in the industry overall. 99% of products/services still don't have an AI-native CLI yet. 99% of products/services maintain .html/.css docs like I won't immediately look for how to copy paste the whole thing to my agent to get something done. They give you a list of instructions on a webpage to open this or that url and click here or there to do a thing. In 2026. What am I a computer? You do it. Or have my agent do it.

So anyway today I am impressed that this random thing took 1 hour (it would have been ~10 hours 2 years ago). But what excites me more is thinking through how this really should have been 1 minute tops. What has to be in place so that it would be 1 minute? So that I could simply say "Hi can you help me track my cardio over the next 8 weeks", and after a very brief Q&A the app would be up. The AI would already have a lot personal context, it would gather the extra needed data, it would reference and search related skill libraries, and maintain all my little apps/automations.

TLDR the "app store" of a set of discrete apps that you choose from is an increasingly outdated concept all by itself. The future are services of AI-native sensors & actuators orchestrated via LLM glue into highly custom, ephemeral apps. It's just not here yet.

[Peter Steinberger 🦞 @steipete]

Interesting benchmark on which model is best for @openclaw https://t.co/b0JUmC4PEo

[Kore @cryptokoreso]

#MachineLearning #TechTrends #FutureOfWork

[Kore @cryptokoreso]

AI agents are experiencing a "Cambrian Explosion" moment 🧵 Trends from the past 30 days: #AI #ArtificialIntelligence #AIagents

[Kore @cryptokoreso]

The craziest part? This is just the beginning. We're at the starting line of the Agent Era. 🚀

[DiscusFish @bitfish]

还在心疼 Token 跑得太快？那是你的 Agent 检索姿势不对！
分享一套我的本地 Agent 检索策略：

1️⃣ 结构化目标 → 优先用 mq 预览 .tree 架构。
2️⃣ 模糊目标 → 先 qmd 扫文件名，再 mq 精准提取段落。

这一套组合拳打下来，Token 消耗暴降 80%+，精准度却丝毫不输云端。你的 Local Agent🦞 学废了吗？

[Kore @cryptokoreso]

@KinGao476942 优秀