Stasia Carson 👾 🎮

657 posts

Stasia Carson 👾 🎮 banner
Stasia Carson 👾 🎮

Stasia Carson 👾 🎮

@etainos

building deck

Beigetreten Ağustos 2021
71 Folgt290 Follower
Stasia Carson 👾 🎮 retweetet
sarah guo
sarah guo@saranormous·
I start by assuming the best in people, but I also follow the basic rule of thumb — when people show you who they are, believe them the first time.
English
28
21
491
21.9K
Stasia Carson 👾 🎮
@jakemintz I think document management (or a hybrid thereof) as a category has been broken or brittle forever driven by feature creep. I feel like Asana and the task management category went down a similar path.
English
0
0
0
6
Jake Mintz
Jake Mintz@jakemintz·
I do not understand the hype about Notion. It's a worse document editor and spreadsheet than Google docs. The API is broken due to it's privacy model. In the age of AI I'd rather build an app or use a Karpathy-style wiki instead of a Notion database. The AI sucks compared to a real harness + claude/codex/etc. I get it as a confluence replacement but it's sold and hyped as more than that. What am I missing? @jeff_weinstein I think you are an advocate and super respect your product judgement. What am I doing wrong?
English
76
5
275
46.1K
Stasia Carson 👾 🎮
Legora's decision to move towards usage based pricing will be very telling for similar, but different reasons... 1) the world really may move towards usage based pricing in AI bc margins 2) frontier subsidies are bigger than we think I suppose both can be true. In either case get while the getting's good.
English
0
0
0
2
Stasia Carson 👾 🎮 retweetet
Justin Poehnelt
Justin Poehnelt@JPoehnelt·
Two months ago I was fired by Google for creating the Google Workspace CLI. It went viral, hit #1 on Hacker News, gained thousands of GitHub stars and many thousands of actual users in just a couple days. It was an incredible, confusing journey, from directors and leaders asking what they could learn from the tool to getting grilled by legal about why the Google logo and brand colors are on the Google Workspace GitHub code repositories. I think the cause was that Workspace and certain leaders (and projects) were afraid of being disrupted. But the fear wasn't specific to my CLI, it was a broader fear in what agents meant for Workspace. Either way, the irony of my termination was the announcement at Google Cloud Next two days before I was fired that an official Workspace CLI was coming. I want this out there because it is easier for me to explain my story and it is an experience I want to fully own. It's also part of my healing. Nearly 7 years at Google was an incredible opportunity for me and I was fortunate to have wonderful teammates and a manager that fully supported me through these last few months. Thank you.
Justin Poehnelt tweet media
English
475
710
10.7K
2.9M
Stasia Carson 👾 🎮
The amount of exhaust created from people tinkering with app ideas is just crazy to think about. Executing on an idea costs virtually nothing. Wonder how all that can be made valuable. I have at least a few gigs of stuff I just wanted to see happen.
English
0
0
0
15
weisser
weisser@julianweisser·
A founder asked me what strong demand looks like. Here’s an example from a solo founder in SFP: The businesses they reach are so excited to become customers that they bump the thread multiple times. Then they eagerly pre-pay $7,000 / month to be onboarded next month.
English
10
2
83
9.1K
Stasia Carson 👾 🎮 retweetet
Jake Brukhman
Jake Brukhman@jbrukh·
Jake Brukhman tweet media
ZXX
6
4
43
3.8K
Stasia Carson 👾 🎮 retweetet
conor brennan-burke
conor brennan-burke@contextconor·
the ‘ghost kitchen’ era of the internet is coming very soon we’re going to see lots of websites and products that are built only for agents, without a human in the loop this is inevitably going to be the majority of traffic, and much larger than the human internet
English
27
14
196
20.7K
Stasia Carson 👾 🎮
@claudeai Don't want the team knowing how I yolo with dangerously skip permissions. Will keep to my terminal, thank you.
English
0
0
2
2.8K
Claude
Claude@claudeai·
Introducing Claude Tag, a new way for teams to work with Claude. In Slack, Claude joins as a team member with access to the channels and tools you choose. Tag Claude in and delegate tasks to it while you focus on other work.
English
1.2K
1.7K
23.2K
12.4M
Stasia Carson 👾 🎮
Started off this way, but then the issues we ran into became a big factor in the reason we built Hello Deck. Found it was great at me bringing stuff to it (cos/assistant) but wanted it to more proactively surface stuff to me as a founder and move work forward (the holy grail). Otherwise, found my hand-rolled guy it was half to-do list manager and half notetaker.
English
0
0
0
19
jason
jason@jxnlco·
how many of you have a codex chief of staff thread? what kinds of stuff do you have them look over?
jason tweet media
English
43
2
236
20.6K
Stasia Carson 👾 🎮
@fchollet It's an opportunity. I tend to agree, though. AI actually makes otherwise hard to use, disparate software easier to use which drives utilization. For me it was a behemoth like sfdc. Now I use the CRM more than I ever had.
English
0
0
0
416
François Chollet
François Chollet@fchollet·
It seems almost too dumb to be true, but apparently the literal belief of SaaS bears is "all software is a 0 because Claude can one-shot these apps" Just staggering levels of short-sightedness in that statement
English
124
59
1.2K
117.8K
Stasia Carson 👾 🎮 retweetet
signüll
signüll@signulll·
ppl are weirdly disciplined about imagining disaster. but almost never ask: what if it all turns out better than you ever imagined?
English
127
230
2.6K
111.5K
Stasia Carson 👾 🎮
Here's how I use AI day to day as a founder who lives mostly on the non-technical side. Too much of this conversation still assumes the best AI workflows are only for coders. They're not. What changed for me was using AI as a system I delegate to, review, and steer. Disclaimer: I'm optimizing for operating leverage and faster decision making that takes in a significant amount of data I otherwise would struggle to find time to analyze. What that looks like: - I run multiple streams at once in Claude Code and/or Hello Deck AI. One thread researches a market, another drafts messaging, another pressure-tests a product decision. I treat them like jobs I assign, redirect, and review when I'm ready vs. trying to do multiple things in a single session. - I ask for multiple iterations against one objective, framed as a day of work. For instance "run through 10 iterations of {ask}." I've found instead of stopping at the first answer, it drafts, critiques its own work, and tries again. The end result is far stronger than version one. - Combined with the above: I dispatch a team of agents at a single goal, each with a different job. One works the go-to-market angle, another acts as strategist, another as technical expert, and so on. Then I combine what's strong and discard the rest. It feels closer to managing a team than prompting a chatbot. In practice this means "dispatch a team of agents with agent a acting as gtm lead... each agent should run 10 iterations of {ask} which is the equivalent of one workday" - I memorialize what works into runbooks my agents build by looking back on the steps we took. Next time I want to repeat something, I point an agent at the runbook and it has everything it needs. No starting from scratch. - I use Granola for call notes because it integrates cleanly with Deck. That turns conversations into usable follow-up and context instead of notes I never read again. It's also super lightweight and I appreciate the templates and the new primer feature they released. - I set scheduled tasks in Deck to review product data, monitor Slack and HubSpot, and send me summaries of what actually needs my attention. It creates a recurring layer of review so I'm not manually checking every system for what changed. For what doesn't fit Deck, I run local cron jobs that ship data to my assistant by email. - I kick off one long research task before bed almost every night. We often say there aren't enough hours in the day. Now I wake up to real progress, because it spent hours structuring and refining while I was offline. - I maintain my corpus of context: family, product, GTM, voice. Better context is what makes the output consistently useful instead of randomly impressive. - I use plan mode religiously. A lot of bad AI usage is just bad task definition. When the plan is clear, the output gets better. For non-technical users this can improve output significantly. Planning improves writing and analysis as much as it improves code.
English
1
0
3
30
Abhilash Chowdhary
Abhilash Chowdhary@TheChowdhary·
"we hate our ATS. but we're stuck with it" this is what a search firm said in a call last week and then they described what they actually want, which was basically a brain that sits on top of everything they already have every conversation they've ever recorded, every candidate in their system, every profile, all in one place they can just ask "who have i talked to in the last six months who fits this role" should be one prompt! this is the pattern with almost every recruiting team we work with now they want to keep the stack they already have, and put an internal brain on top of it so that's what we've been building with them. their ATS, their call transcripts, their data, wired into Claude through the Crustdata MCP, so the whole context becomes searchable with just a prompt
English
2
0
14
1.1K
Stasia Carson 👾 🎮
So loops hype has replaced harness hype? God this space moves so fast.
English
0
0
0
10
Stasia Carson 👾 🎮 retweetet
Chris Tate
Chris Tate@ctatedev·
The best agent loops need the right tools → agent-browser.dev Verify changes in a real browser → portless.sh No port conflicts. Worktree-friendly. → emulate.dev Emulate third-party APIs → ai-cli.dev Image + video gen via CLI
English
52
143
2K
104.2K
Stasia Carson 👾 🎮 retweetet
Sam Parr
Sam Parr@thesamparr·
Replit's CEO on the months right before they blew up: - Lost half the team. 120 people down to 60. - Had just moved into a huge new office. Empty, cold, dark. - Every morning he knew someone was gonna walk to his desk and quit. - "You can see it in their eyes when they stop believing in you."
English
45
96
1.6K
345.4K
Stasia Carson 👾 🎮 retweetet
First Squawk
First Squawk@FirstSquawk·
META SUSPENDS INTERNAL AI TRAINING PROGRAM AFTER SENSITIVE COMPANY DATA WAS FOUND TO BE ACCESSIBLE ACROSS THE ORGANIZATION, ACCORDING TO BUSINESS INSIDER.
English
36
139
2.2K
364.2K
Stasia Carson 👾 🎮
would not have thought of loneliness as a byproduct of AI coding
Lenny Rachitsky@lennysan

My biggest takeaways from Claude Code/Cowork lead @Nerdi_Yogi: 1. When your engineers ship 8x more code than a year ago (like they do at Anthropic), the biggest problem becomes verification. How do you know that the experience you shipped is what you intended? One tactic Fiona’s team uses is a “bad vs. sad” tracking framework: bad is unrecoverable errors (like a crash), sad is a recoverable pain point (like flickering or drop in conversation). They give each team agency to build and ship quickly, but they track bad and sad events for their surface areas to quickly identify issues. 2. As engineers increasingly work independently with their own teams of agents, loneliness is emerging as a challenge for engineers. To help, Fiona’s team started “pairwise programming lunches,” where engineers work side by side, not necessarily on the same thing, and pick up new patterns by watching how others use Claude Code and Cowork. 3. Anthropic built a dashboard that counts how often users swear at Claude Code. Back in September, amid visible user frustration, an engineer suggested tracking swear words, and Fiona loved it. It’s become a proxy for things evals struggle to capture: whether the experience is actually delightful, not just technically accurate. 4. Look for latent demand to discover new business opportunities. Cowork emerged when the team noticed that non-coders were using Claude Code for tasks like analyzing MRIs or recovering wedding photos. That signal—people jumping through hoops to make something work with your product—tells you there’s something there. 5. Fiona’s team has shifted from six-month roadmaps to just-in-time monthly planning. She tried doing lightweight six-month roadmaps when she joined Claude Code, but a few months in, she realized her team had barely referenced them. Now they do monthly planning on a simple spreadsheet with a simple list of this month’s priorities. 6. One of Claude Code’s cultural values is: you have permission to kill any process that isn’t working. Fiona brought in six-month planning from her previous experience, then killed it herself when it wasn’t serving the team. Always ask: is this process still serving its purpose? 7. Another core principle: “What’s better than me doing it? Having Claude do it.” This pushes everyone to keep checking whether a task can be automated—even writing the post that announces a model launch. Fiona admits that after decades of shipping software by hand, she still has to remind herself to ask it. 8. When Fiona hires managers, they have to start as individual contributors. This gives them time to learn the codebase, build rapport with the team, and understand what it’s like to be an engineer on the team before taking on management responsibilities. It prevents the trap of immediately reaching for your “manager toolbox” instead of learning the specific context. 9. Fiona uses “routines” to automate her daily rituals as a manager. She used to read user feedback channels over coffee and hand-pick fixes to assign teammates, Now a Claude “routine” runs every morning, kicking off agents that analyze feedback across multiple channels, identify themes, and generate PRs to address issues. Her prediction is that work is shifting from manual synchronous prompting to asynchronous agent management (i.e. loops). 10. Culture, not code, is what keeps her up at night. To Fiona, culture is a living thing, not a poster on a wall. Her nightmare is the manager who says, “everything’s fine” while the room is on fire. She pushes hard for open talk about what’s not going well, because that’s the only way the team can fix it together.

English
0
0
0
57