Ruemic

1.1K posts

Ruemic

Ruemic

@Ruemic

https://t.co/GVrObmRY1I — You can just make software now.

Katılım Haziran 2010
6.5K Takip Edilen691 Takipçiler
Ruemic
Ruemic@Ruemic·
@darrenangle Spicy! this is exactly what bitter is. your agent gets a computer, you get a terminal. it really is that simple.
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darren
darren@darrenangle·
there is a reason it feels silly to use long-running terminal agents to build managed LLM software "We argue that a coding agent equipped only with a terminal and a filesystem can solve many enterprise tasks more effectively by interacting directly with platform APIs."
darren tweet media
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Vivek Sen
Vivek Sen@Vivek4real_·
SAM ALTMAN SAID CEO’S WHO TALK ABOUT AI TAKING EVERYONE’S JOBS ARE “TONE DEAF.” “SOMEONE SAID TO ME JUST YESTERDAY THAT … GPT 5.5 IN CODEX CAN ACCOMPLISH IN AN HOUR WHAT WOULD HAVE TAKEN ME WEEKS TWO YEARS AGO … AND I HAVE NEVER BEEN BUSIER IN MY LIFE.”
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Ruemic
Ruemic@Ruemic·
@garrytan What about serving thousands of niches that were too small to build a SaaS around when when it was too expensive to build? basically Constellation Software, but build instead of buy.
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Garry Tan
Garry Tan@garrytan·
Founders must stop trying to building 2010-era businesses with 2026-era technology. Don't try to rebuild Foursquare or Yelp. Don't try to recreate Basecamp by 37 Signals with $10/mo SaaS pricing. Don't underprice! If it works it's worth a lot more. Don't be tempted to become "Tech enabled PE" with revenue tricks. The rules of tech changed with AI. Play the new game.
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Ruemic@Ruemic·
@johnerik Day 4/100 Multi-Tenant Factory Rewrite, Portfolio Tour, And A Live BitterClip Demo
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Ruemic
Ruemic@Ruemic·
Quit my job. Starting a company called Bitter. The hardest part was posting this. Day 1/100 with @johnerik !
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Ruemic@Ruemic·
Day 5/100 @johnerik and I react to this tweet youtube.com/watch?v=YPf7BZ…
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YouTube
GREG ISENBERG@gregisenberg

I just got back from SF and I FEEL INSPIRED. I spent 5 days with frontier AI model teams, AI startup founders, and 3 billionaires. My takeaways: 1. I had lunch with 3 billionaires. All of them are buying SaaS companies and rebuilding them agent-first. They were deeply inspired by Bending Spoons and Ryan Cohen's eBay deal. Buy the company, cut the headcount, rebuild the tech, add agents, add features, make more valuable experience, raise prices. 2. The frontier model companies are hungry for usage data from the field. They can see API calls and token counts. They can't see the actual workflows. If you're deep in a niche using these models in ways the model companies haven't seen, that understanding is incredibly valuable. Usage intelligence is the new alpha. 3. Consumer AI is massively underbuilt. Every billboard in SF is either B2B inference infrastructure or vertical agent companies. The entire city is optimized for enterprise. Meanwhile you have companies like Cal AI doing $50M ARR in 18 months as a consumer app. I met with a cool few teams doing consumer AI (@paulscherer / @ekuyda) 4. MCP came up in literally every conversation. The companies exposing their product as MCP endpoints are getting pulled into deals they never pitched for. The ones that aren't are becoming invisible to agents. This is the new SEO. If agents can't find you, you don't exist. Building products for agents is the new zeitgeist in general. 5. Not uncommon for hot seed rounds to be $25-50 million valuations. I saw a Series A at $450 million 6. If I had a dollar every time someone mentioned "forward-deployed engineer" this trip I could have funded a seed round. It's the hottest role in SF right now. The person who sits between the agent and the customer, making sure everything actually works. 7. The mood around open source shifted. A year ago it felt like open source was chasing the frontier models. Now founders are telling me Gemma and DeepSeek are good enough for 80% of what they need at a fraction of the cost. The "which model do you use" conversation is being replaced by "which model for which task." Model loyalty kinda feels dead. 8. Voice agents came up more than I expected. Multiple founders told me voice is the interface for the next billion users. The billion people who will never type a prompt will absolutely talk to one. 9. The Obsidian community in SF is weirdly intense. Multiple founders showed me their vaults unprompted. Like showing someone your home gym. It's a flex now. The quality of your knowledge base (second brain?) is becoming a status symbol among builders. 10. Maybe it was just the people I met but the age of the founders is shifting. I met more founders over 40 this trip than any trip before and more founders under age 21 than ever before. Founders getting older and younger at the same time. 11. I spoke to a lot of fast-growing startups, VCs and frontier models who are hiring content creators right now. 12. The restaurant scene in SF is actually better than it's been in years. Founders are going out more. Alcohol is out, not surprisingly. 13. SF doesn't feel like the only place anymore. We all have access to the same frontier models. We all read the same X feed. A founder in NYC or Lagos is calling the same APIs as a founder in SoMa. So in the past it felt like SF was always lightyears ahead, doesn't feel that way anymore. It's okay not to live in SF and have BIG DREAMS. 14. The coworking spaces in SF are half empty but the coffee shops are packed. People want to be around people. I had a few startup ideas here.... 15. Walking around the Mission I noticed something: the street-level businesses, the taquerias, the barbershops, the laundromats, none of them use any AI at all. 16. I heard the phrase "agent debt" for the first time. Like technical debt but for agents. When you hack together an agent workflow fast and never clean it up, the system prompts conflict, the memory gets polluted, the tools overlap. 6 months later the agent is doing weird things and nobody knows why lol. 17. Met a few people who carry two phones now. One for personal. One that's basically an agent terminal running Telegram or iMessage connections to their agent fleet. It's always amazing to get that dose of inspiration in SF. I FEEL INSPIRED. But I'm so happy to be back home, locked in and building. We're 12-18 months into a shift that will take 15 years to play out. The urgency in every conversation was real. What an incredible time to be building.

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Ruemic
Ruemic@Ruemic·
@serenaa_ge I would say this maps pretty well. Nice job. Nothing compares to 5.5 xhigh for complex long horizon engineering at the moment and this reflects it well.
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Serena Ge (Datacurve)
Serena Ge (Datacurve)@serenaa_ge·
Today we’re releasing DeepSWE, a new standard for agentic coding benchmarks. On public leaderboards, top models often look relatively close in capability. DeepSWE shows where they actually diverge, reflecting the realistic experience of developers in their day-to-day work.
Serena Ge (Datacurve) tweet media
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Simon Last
Simon Last@simonlast·
1/ Some things I've learned recently running coding agents on large-scale projects. Most of this contradicts advice from 6 months ago!
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Ruemic
Ruemic@Ruemic·
@levelsio @TermiusHQ this is essentially mvp for bitter. One hosted termnal per app with codex / claude pre installed.
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@levelsio
@levelsio@levelsio·
My laptop screen looks pretty much like this all day now and same on my iPhone when I work (which could be anywhere now) It's just tabs for my sites, all on a VPS, synced with my iPhone via @TermiusHQ (unaffiliated) and usually with Claude Code open to fix or build new things
@levelsio tweet media@levelsio tweet media@levelsio tweet media
@levelsio@levelsio

So here's my latest set up Every site I have is a profile on Termius like > hoodmaps .com I click it and immediately I'm in my server and I get dropped in a tmux session that's always tied to the corresponding site I wanna log in to To make this work I have this startup snippet in each site's Termius profile: > cd /srv/http/hoodmaps.com && tm (so /srv/http is where my sites are and then hoodmaps .com is the example site here, and "&& tm" is the important part here) Then in my ~/.bashrc file I added this (written by Claude Code) which defines the "tm" function, again all it does it just put me in the right tmux session based on the folder I'm in The result is I can switch without interruption from my laptop to phone in Termius with auto reconnecting sessions and usually I just have Claude Code open in each session to work Before I had to mess around with 1) not having smooth switching from laptop to phone, I'd have to use Claude Code's /resume for it, annoying, 2) having multiple sessions for same sites, gets messy and confusing fast, now it FORCES me into one session per site, this just works so well, I'm so fast, and each of my sites is just an open tab in Termius, I've never worked so structured and clean! Here is the code, maybe it helps somebody: # tmux session per folder. `tm` (no args) attaches to / creates a session # named after the current dir's basename. `tm name` overrides the name. # Works whether already inside tmux (uses switch-client) or outside it. tm() { command -v tmux >/dev/null 2>&1 || { echo "tmux not installed"; return 1; } local name="${1:-$(basename "$PWD")}" # tmux session names can't contain '.' or ':' — replace with '-' name="${name//./-}" name="${name//:/-}" if [ -n "$TMUX" ]; then tmux has-session -t "$name" 2>/dev/null || tmux new-session -d -s "$name" -c "$PWD" tmux switch-client -t "$name" else tmux attach -t "$name" 2>/dev/null || tmux new -s "$name" -c "$PWD" fi } # Auto-attach on interactive login: picks a session named after wherever # you land. Plain `ssh server` lands in $HOME → session "root". Use # `ssh server -t "cd /srv/sm.levels.io && bash -l"` to land in a site # folder → session "sm-levels-io". Skips inside tmux and non-interactive # shells so scp/rsync/scripted ssh keep working. if command -v tmux >/dev/null 2>&1 && [ -z "$TMUX" ] && [[ $- == *i* ]]; then tm fi

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Ruemic@Ruemic·
jukepiano.com has proven a tough nut to crack. One of these days though I will and it will be beautiful.
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Ruemic@Ruemic·
Obviously access to compute is a factor. But you can get quite far with a frontier model provider subscription these days. Especially if you structure your intent with deliberate long horizon auto research style chartered agent work policy.
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Ruemic
Ruemic@Ruemic·
These people were effectively told they weren’t AI-levered enough. Now they've got the same tools, less constraints, and something to prove.
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Ruemic
Ruemic@Ruemic·
A second order effect that should be factored in: Those being laid off in the name of AI leverage are now unencumbered to **truly** demonstrate AI leverage. And yeah, some of them might be kinda bitter.
Zeb Evans@DJ_CURFEW

Today we reduced headcount by 22%. The business is the strongest it's ever been. So I think it's important to be direct about what I'm seeing and why. First, I made this decision and I own it. I did it because the way to operate at the highest level of productivity is changing, and to win the future, ClickUp needs to change with it. Second, this wasn't about cutting costs. Most savings from this change will flow directly back into the people who stay. We'll be introducing million-dollar salary bands. If you create outsized impact using AI, you'll be paid outside of traditional bands. Most importantly, I have the deepest gratitude for those affected. We're doing this from a position of strength specifically so we can take care of people properly. Everyone affected receives a package aimed at honoring their contributions and easing the transition. I only see two options: wait for this to play out gradually in the market or be honest about what I'm seeing and act proactively. THE 100X ORGANIZATION The primary change is that we're restructuring around what I call 100x org. The goal is 100x output. The roles required to build at the highest level are fundamentally different than they were a year ago. Incremental improvements to existing systems won't get us there. We need new ones. That means creating enough disruption to rebuild rather than iterate on what's already broken. The common narrative is that AI makes everyone more productive. It doesn't. Many of the workflows of today, if left unchanged, create bottlenecks in AI systems. These roles will evolve. But waiting for that to happen naturally means falling behind now. The 100x org is actually heavily dependent on people - infinitely more than today. This is only possible with 10x people that have embraced and adopted new ways of working. THE BUILDERS, AGENT MANAGERS, AND FRONT-LINERS — THE BUILDERS: 10X ENGINEERS I don't think most companies have internalized what's actually happening with AI in engineering. The common narrative is that AI makes all engineers more productive. That may be true in isolation, but at an organization level - that is the farthest thing from reality. Here's what we've validated recently at ClickUp: the great engineers, the ones who can orchestrate, architect, and review, are becoming 100x engineers. They're not writing code. They're directing agents that write code. The skill is judgment. AI makes the best engineers wildly more productive, and everyone else using AI slows these engineers down. Think about it - the bottlenecks are (1) orchestration - telling AI what to do, and (2) reviewing - what AI did. Everything is leapfrogged and no longer needed. So who do you want orchestrating and reviewing code? And how do you want your best engineers to spend their time? If your best engineers are spending time reviewing other people's code, then this is inherently an inefficient bottleneck. These engineers can review their agent's code much faster than reviewing human code. The new world is about enabling your 10x engineers to become 100x. The wrong strategy is to push every engineer to use infinite tokens. Companies doing this are celebrating 500% more pull requests. But customer outcomes don't match the volume of code being generated. I call this the great reckoning of AI coding, and every company will face this soon if not already. More code is just another bottleneck to the best engineers, and ultimately to your company's impact as well. — THE BUILDERS: 10X PRODUCT MANAGERS Product management and design roles are merging. Designers that have customer focus, become more like product managers. And product managers that have intuition for UX become more like designers. The bottleneck of user research is gone. It takes us just one mention of an agent to kickoff research and analyze results. The bottleneck of product <> design iteration is also gone. The product builder iterates on their own, along with agents and skills that ensure alignment with quality and strategy. Also controversial today - I believe that the wrong strategy is to have your PMs shipping code - that just introduces another bottleneck that the best engineers will waste their time on. To be clear, PMs should be coding but they should do this in a playground to iterate, validate, and scope. That code should not go to production. Everything outside of managing systems, orchestrating AI, and reviewing output becomes a bottleneck. That's why the other roles that are critical along with these are the systems managers (to reduce bottlenecks) along with a bottleneck you can't replace - customer meeting time. — THE SYSTEM MANAGERS Ironically, the people that automate their jobs with AI will always have a job. They become owners of the AI systems - agent managers. We have many examples of these people at ClickUp. The underlying systems in which we operate are absolutely critical to get right. I think most companies are delusional to think they can iterate on existing systems and compete in this new world. You must create enough disruption so that old systems are deprecated entirely. If there's any definition for 'AI native' that's what it is. — THE FRONT-LINERS In a world that will become saturated with AI communication, the human touch will matter more than anything to customers. This is a bottleneck that you shouldn't replace - even when agents are high enough quality to do video meetings. One-on-one meeting time with customers is something that shouldn't be automated. The systems around the meetings should be - so that front-liners spend nearly 100% of their time with customers. REWARDING 100X IMPACT In a world where companies are able to do so much more with less, where does that excess money go? In our case, much of the savings in this new operating model will flow directly back to those that enabled it. We must reward people that create productivity accordingly. This aligns incentives on both sides. Plus, in a world where your best people create 100x impact, you can't afford to lose them. You should aim to retain these employees for decades. The context they have and their ability to efficiently orchestrate and review will be nearly impossible to replace. Compensation bands of today should be thrown out the door. We're introducing $1 million cash/year salary bands with a path available to nearly everyone in the company if they produce 100x impact by creating or managing AI systems. THE FUTURE Nearly every company will make changes like these. The ones that do it proactively will define what comes next. The future is not fewer people. It's different work, new roles, and better rewards for those who embrace it. We're already seeing entirely new roles emerge, like Agent Managers, that didn't exist a year ago. ClickUp is positioning to lead this shift, not just internally, but for our customers too. I've never been more certain about where we're headed.

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nic carter
nic carter@nic_carter·
Situational Awareness Q1 13F filing drops this Friday Leo, we await your sage counsel...
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Ruemic
Ruemic@Ruemic·
We built Macro Mixer at the Generative UI Global Hackathon in Hong Kong: a visual map/reduce workbench where AI-generated research cards expand, stream, get selected, and reduce into synthesis while preserving provenance. It is not a chatbot. Gemini streams become an interactive board: lens cards, source lineage, provider lanes, and AG-UI-style events. #genUIHackathon @aitinkerers @googledevs @CopilotKit @endernoke github.com/ruemic/lensmix…
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