Harshit

humans won’t be the creators anymore. humans will play the role of a reviewer or editor in everything. that’s the future we are headed.

Dear @_hex_tech, you are great in agentic querying (especially via thread), but can you please stop authing out my MCP connection each week? It breaks the entire harness.

god damn! quickest and smartest 34k i’ve ever heard (if this is true)

@ryolu_ that’s you gotta bend the model and have a good feel for bending it.

overcooking you've seen this: someone ships a dashboard that shows every number with a sparkline, every action has a confirmation modal, every empty state has an animated illustration and a tagline. individually each decision made sense to someone. together it feels like chaos. nothing is in focus. that's overcooking. not one bad decision in isolation, but the accumulation of reasonable ones that no one said no to. AI makes this worse as the cost of adding dropped to near zero. it can build a feature, even a whole new concept in minutes. so people do. and then they do it again. the thing that started with a clear purpose slowly becomes a collection of additions that are each justifiable but collectively incoherent. the root problem is that most "new ideas" aren't new. they're repackaging of something that already exists at a more fundamental level. a new sticker on an old concept. it feels like progress because something changed, with a new word and skin – but the thinking didn't go deeper, it just duplicated itself into confusion. the whole has a core. you feel it once you understand the whole system. everything in it are related and balanced. when you overload it, that gravity weakens. not because any one thing is wrong – but because attention is finite and you force it everywhere. what we need aren't more tools that make more slop. it's seeing through the chaos, and returning to what the thing actually is, and cutting everything that doesn't serve that. that's harder now, not easier. because there's always something else you could add with one more prompt.

@signulll and spacex comes for cursor

anthropic comes for figma. openai comes for canva.

this will be freaking epic! my first instinct is, will it make anthropic cut Cursor off from accessing its models

@eriktorenberg @pmarca content should be something that people would want to bookmark or you CRUD it

Content needs to be either timely or timeless — and the bar for both has gotten much higher. Timely has to be *right now* and timeless has to be an instant classic.

Excited for a new dawn at Apple. Big change is needed in phones, they’re way behind in tech.

prepping up for mythos. compute/energy is the new currency

@nikitabier @CodingNoobie @allegrajacchia thank you! f shilling

@CodingNoobie Remove everyone on this list from the revenue sharing program @allegrajacchia

something is not adding up

@businessbarista @da_fant Try ClickUp and we got the exact thing called Brain at @clickup. it already exists

Someone is going to build a worldclass “Brain” for enterprises & make a stupid amount of money. Why? As @da_fant said, “coding w ai is solved bc all context is in the git repo. knowledge work is difficult bc context is spread out. an ai system that creates a git repo w all context for a knowledge worker will be able to 100% automate the work.” When companies talk about being data ready for AI, this is what they’re implicitly saying. Engineering has been prepared for this moment for a long time because of the deterministic nature of code, the centralization/versioning of data (read: GitHub), and AI tools that are largely build by engineers for engineers. But for the rest of white collar work, there’s a TON of catching up to do to properly harness the power of the technology. The big challenge here, and why no one has truly cracked the code for "an ai system that creates a git repo w all context for a knowledge worker" is because unlike code, most knowledge is 1) distributed, 2) unstructured, and 3) unverifiable. It's distributed: transcripts live in Granola. Documents in Notion. Customer Data in Hubspot. ERP. Emails. Slack messages. Random spreadsheets. SOP docs. Etc. Etc. Building an ingestion engine that connects to all of your disparate data sources and auto-updates based on the shelf-life of the data is the first, and frankly, easiest step of the process. Next, it's unstructured: let's say I want to create a proposal for a potential client. To nail the proposal, I want it to pull important information from a variety of sources. The specific asks & background from our initial sales call. Previous proposals to anchor ourselves to a proven format. And completed sprint boards from Linear, so the pricing & timeline in the document is grounded in truth. Whether it's a thoughtful filesystem (a la Obsidian) or an OpenClaw-esque memory structure, the brain needs to be great at self-organizing in a thoughtful schema. This is very hard, especially if you want to build a generalizable brain that can be shaped to an array of different enterprises. And finally, most knowledge is unverifiable: writing a function, running a unit test, and seeing if the code works is easy. It works or it doesn't. Using AI to accelerate your content creation process is highly subjective. What is a good/bad idea? Is the content in your voice or not? Does it feel like slop or novel? Answering these questions are both difficult and non-verifiable. That same system described above doesn't just have to be great at organizing & forming coherent relationships, but it also has to be great at self-improving based on feedback from the user. Memory systems (like those introduced by OpenClaw) are great to a point, but as you scale the corpus of data within your company's brain, things like compaction and cleaning become wildly important to avoid the needle in the haystack problem. Someone is going to figure out how to solve this problem, and when they do, not only will they make a shit ton of money, but they'll be robinhood for knowledge workers, enabling non-engineers to enjoy the sort of leverage that only technical folks have felt for the last few years.

looks like this is the only way out

car will be equivalent to desktop/phone (in fact it already is)

@bentossell as a product marketer, all my stuff is in .md files. when i use my phone, i just ask the agent to edit it, and there’s no way to see it other than checking github. on desktop, cursor is great for previewing .md, and i can edit it right in the preview.

how do you all read/edit md files on your phone? don’t tell me thru github

have been running this on cursor at ClickUp, will attest to this. plus the better memory recall + and their harness is definitely a huge step up and very thoughtful UX. i used CC IDE updated and realized it has so many bugs. props to both to push major changes but got to appreciate the game + agent aesthetics at Cursor @ryolu_ @leerob

ClickUp just landed in London. 🇬🇧 New HQ. New energy. Same mission: To save you time. We're hiring across EMEA right now. Know someone who wants to build with the fastest growing productivity platform in the world? Tag them below. 👇

@anothercohen just get @clickup

I'm tempted to finally churn off Slack. We're paying ~$6k/year for 40 people and they just quoted me $21k/year for the business version that includes a BAA (and all the shitty AI features). Incredibly overrated software

retracting my statement as this is very buggy and slow.

this preview + parallelization was the only feature holding me from switching to claude code for my product marketing stuff. now fuck yeah!