Sujay

history is rhyming , it’s 2014 b2c all over again but for b2b world

For people running Claude Code with `--dangerously-skip-permissions`, we just shipped Enhanced Controls. It protects you at the tool layer, by blocking your agent from executing destructive actions. Now available in Claude Code, Codex, and Cursor.

ai startup socks merch making me appreciate how much work goes into making great socks

lot of alpha in error 529 merch right now

this year's aie is a revolt against slop basically

@kylehtucker this is the best launch post

can any startup/vc folks out 🙏 help me w the latest funding-announcement/PR playbook ? any dm/advice appreciated! (we just closed 60m seed/incubation round for our AI legal services rollup and super excited abt it - ~25m arr, ~100% gr, ~130% nRR and growing/acquiring arr quickly hopefully 50-100m EOY, stanford CS rockstar leading it etc) – but I’m not really part of the startup community so not sure on playbook to get as much attention as possible at announcement next week I know PE pr outreach / press releases etc well, but basic question is what else should we be doing here (I don’t know like HN or reddit or send cold email to @tbpn or that sort of thing?) And I’m happy to spend some money on it !! Kyle

sakana is a post-absurdist art project

@typesfast Ryan Peakersen

The two most reliable ways to go viral are to 1) criticize India and 2) criticize remote work. But who amongst us has the courage to criticize remote work in India?

@shakoistsLog wim wenders’ finest . watched it after perfect days

Paris, Texas is a hauntingly beautiful film. Just finished it.

IITians in the Bay 👋 Putting together a meetup this Friday at the @composio office - AI, work, life, and how we all ended up out here. Would love to see you there. DM to join (link below)

fresh off the press, latest vibe shift

I'm going to show this to every founder who refuses to launch early. x.com/broadglow/stat…

While they are clear exceptions, the more I listen to AI company CEOs, the stranger they sound. They’re full of ideas that no normal person can relate to, talking past the people they’re supposed to reach. The more they talk only to each other and to investors eager to throw money at them, the less they seem to know how detached they sound. Funny, but also a warning sign.

@HenryYin_ Fantastic team and thesis ! Best of luck Henry and Naomi !

Most AI investing happens downstream of the frontier: a capability emerges, a category gets named, and capital rushes in. But by the time a category earns a clean box on a market map, the best builders have usually been living in the messy version for months. Agents. Reasoning. RL environments. World models. AI for Science. Recursive self-improvement. I call this frontier proximity: the ability to see what is becoming possible before it becomes consensus. My frontier proximity ladder: L0 Wrapper: uses today’s models. L1 Reactor: reacts fast to releases, but roadmap is downstream. L2 Anticipator: builds for where capabilities are going. L3 Native: depends on a non-obvious frontier bet. L4 Shaper: helps move the frontier itself. The point is not that every company needs to train models. Apps can have high frontier proximity if they understand what models will make possible next. Infra can have high frontier proximity if it knows what future agents, multimodal systems, robotics stacks, or scientific workflows will need. That is why we’re launching MoE Capital. MoE stands for Mixture of Experts. The idea is simple: build an AI fund around people closest to the frontier: frontier researchers, technical founders, AI-native builders, and seasoned operators. We don’t want to be another AI fund with a newsletter-level understanding of the frontier. We want to build the AI fund closest to the frontier. More in The Information: theinformation.com/newsletters/ai…

things like this reaffirm my faith in b2b saas

My heuristic is that any diff an agent generates over ~1500 lines is too big and is indicative that the problem needs to be decomposed. This is my general pattern now for feature work: 1. Try to implement the whole feature, loosely guided. I call this the "draw the owl" prompt in reference to the meme. Expect garbage, you're going to get garbage. 2. If the diff is less than 1500 lines, review it and iterate normally. If the diff is more than 1500 lines, prompt the agent to decompose the problem into atomic, incremental, reviewable tasks. Simultaneously, do this yourself. 3. Agents will very often make these tasks way too specific to the shape they solved. You need to massage it into the right general shape. Do that. 4. Kick off new agents to work on those incremental things (as parallelized as possible). Apply the same rules. 5. At a certain, point, repeat the "draw the owl" prompt. At some point, you will get beneath your review-ability threshold. This has been producing consistently high quality, maintainable, reviewable chunks of code that have a good handoff to either merge as-is or human refinement. And with the latest frontier models at xhigh thinking, these are all slow enough that you can usually have multiple going concurrently while you are actively reviewing others or working on your own tasks. HITL (human-in-the-loop) agents are still super important, especially for feature work. Features touch the human boundary in terms of UI, API, etc. And net new stuff can introduce pathologies in the architecture that violate desired invariants (these should be represented in specs or tests but we aren't perfect!). I know a lot of the leading edge agentic discourse is about "loops" and agents driving agents continuously. I do some of that (will report on that later). But, in terms of raw daily get-shit-done type of work, this is my most rewarding pattern at the moment.

I cancelled my $10/mo Calendly subscription and vibe coded my own with Fable for $12,000

you are shipping but are you shipping shipping ?

@GaddipatiHarsha it’s been a life saver ! Congrats on the launch.

Excited to announce Slashy The first email client that works for you. The real cost of email isn't the time. It's the mental load of constantly checking it, just in case something needs you. Slashy kills that. You never need to open your inbox unless Slashy tells you. Try it out at slashy.com