AutoCreateAI | GenAI Apps · AI Agents · SaaS

If you are a founder, hear are AI Agent trends for you: 1. Routine tasks get delegated to agents 2. Self-healing data pipelines run without you 3. Autonomous systems adapt on their own Less hiring. More output.

@melodyskim 100% agree. The best founders don't cut designers out. They cut the busywork so designers can focus on what actually moves the product forward.

As a design partner to a lot of zero to one startups, I can assure you that they will still want a designer to take care of all that.

@rohanpaul_ai Raoul's right, and most SaaS founders aren't ready for it. If your moat is just features, agentic AI rebuilds those in hours. The real moat now? Distribution, data, and speed of execution.

Former Goldman Sachs executive Raoul Pal explains how AI is going to eat traditional software/SAAS. If your product is just software, agentic AI can reproduce it on demand, optimize it, and redeploy it to a better market. "Agentic AI means it’s like having Fiverr, a website of experts you can ask any question. It’ll go away and do the task.... Agentic AI will build, design the website, code it, register the domain name, figure out the branding, figure out the marketing, figure out the email list, figure out the whole thing. So then you and I are in competition. You’ve built this incredible new website. I just go to my AI and say, “Love Steven’s website. Can you just build it better. Boom. 3 minutes. How can we be entrepreneurs in software? Now there’s this theory going around that AI is going to eat software, and I kind of get it." ---- From 'The Diary Of A CEO and Raoul Pal The Journey Man' YT channel. (link in comment)

@simpsoka The history viewer is the real win here. Version control for design, built into the workflow. That's not a nice-to-have, that's how iteration should work.

Vibe design use case. The lead researcher for Stitch uses Gemini to produce a new design update for their personal website daily. I like the history viewer where you can “go back in time” and see previously generated designs.

@gregisenberg This is where we are now. Dealerships are closing deals with AI and buyers don't even know it. The businesses that deploy this first don't just save time, they win.

i went to a mercedes dealership i found a car i liked, met a nice salesman decided i wanted to buy the car was negotiating via email decided to buy the car thought i was genius because i got 5% off car salesman tells me in person i was negotiating with AI i had no idea

@WesRoth That's a massive shift in just 10 weeks. Enterprises don't switch favorites without a reason. Claude's reliability on long-context tasks is winning deals OpenAI used to own by default.

In the battle for first-time enterprise AI deployments, Anthropic has decisively dethroned OpenAI. In mid-December 2025, OpenAI was still the clear favorite for new enterprise corporate accounts, holding a commanding 59.7% share compared to Anthropic's 40.3%. By late February 2026, those numbers almost completely inverted. Anthropic captured a staggering 73.3% of first-time enterprise customers, while OpenAI plummeted to just 26.7%. According to recent industry reports from VC firms like Menlo Ventures and Andreessen Horowitz, this shift is heavily driven by coding, reasoning, and data analysis workloads. Anthropic's newer models (like the Claude 4.5 family) and highly specialized developer tools (like Claude Code) have essentially become the de facto standard for enterprise software engineering.

@paraschopra That's just pattern matching, not reasoning. LLMs learned from Python docs, Stack Overflow, GitHub. Brainfuck? Almost no training data. It's not intelligence. It's recall.

We found a task where LLMs struggle massively! Give them a coding problem in Python and they'd work great. Give the same problem in brainfuck and zero-shot their performance is ~0% +[--------->+<]>+.++[--->++<]>+.

@AlexEngineerAI Honestly, Cursor plus a solid prompt library beats most fancy setups. The real edge isn't the tool. It's knowing exactly what to ask it to build.

What AI coding tools are you actually shipping with beyond the obvious stack? What's your most underrated daily driver?

@thenowhereway Hi, building AI automations that cut busywork for founders. We help SaaS and tech teams do more without hiring more. Always good to connect with people who actually build things.

Twitter is cool. But it’s 100x better when your timeline is full with people who code and build things. I need to connect with more founders and tech people. If you’re into Tech, AI, Startups, Design, web dev, SaaS, or programming, say hi.

@JuliaEMcCoy This is exactly right. The founders winning with AI aren't the ones with the biggest budgets. They're the ones who act fastest. Execution is the only thing that matters now.

AI is the greatest equalizer in human history. It doesn’t care about your zip code, your skin color, your degree, or your last name. It only cares about what you do with it.

@nateliason Hitting the bottleneck first is the right call. Building complexity before you need it just slows you down. But once you're there, tools like Paperclip pay for themselves fast.

Paperclip is GOOD TECH. I recommend hitting a bottleneck before adding this complexity, but once you need it it’s excellent.

@codyschneiderxx Exactly this. Nobody cares how it's built. They care that it saves them 3 hours a week on something they dreaded. Solve a real problem, charge for it. That's the whole game.

"your ai startup is just an api wrapper with a shadcn frontend" yeah and people pay for it because we solve a specific problem they hate doing

@Chris_Orlob This applies to automation too. The founders who win aren't the ones who automate everything. They're the ones who cut the busywork that was never worth doing in the first place. Bad process automated fast is still a bad process.

There are two winners in every deal: 1. The seller who won 2. The seller who ejected early and didn't waste time Losing deals is NOT the enemy. Time spent on mediocre deals is the real income killer. The highest-paid sellers don't chase bad deals. They invest where the money lives.

@danshipper Exactly this. The model knows the theory. You know the client, the context, the edge cases. That gap is where your value lives.

How to never lose your job to AI: Just surf the models. Frontier models outclass humans at any form of knowledge that can be written down. But people who use frontier models in their field of expertise generate new, tacit, situational expertise that the models don't yet have—because the models can't be trained on how they will be used in the future. Humans can learn to use new models faster than new models can be trained that absorb what they find out, so you can continually "surf" on top of the model's intelligence to generate new expertise. This is a fundamental limitation of LLMs because they don't learn past their training data. Even few-shot learning doesn't account for this because whatever can be codified into a few shot prompt needs to be used in the correct situation—and this will always stay uncodified in the general case. Just surf the models. Reap the benefits of a totally new world.

@vlaurenlee Exactly this. Efficiency isn't a destination, it's an appetite. Every founder we work with says the same thing: once you automate one thing, you can't stop seeing what else can go.

The more I use ai the more I’m convinced we’re hardwired as humans to be addicted to efficiency. It just feels good. The fallacy is that we want to make tools so we can relax. The truth is the more efficient you become, the more you want to be EVEN more efficient. It feels powerful. Ai will probably turn more people into workaholics than it will generate lazy people.

@zarazhangrui @Remotion Meeting recaps are dead. A 2-min video beats a 10-page doc every time. Nobody reads those anyway. This is exactly what we build for founders who want async teams that actually stay aligned.

Holy shit I just got OpenClaw to turning a meeting transcript into a video using the @Remotion skill. It produced a 2-min explainer video that captures the meeting's key points, complete with script, visuals, voiceover, animation... Imagine sending someone a 2-min meeting recap video instead of a 1000-word summary that nobody will read.

@TheAhmadOsman Each lab is betting on its own runtime. OpenAI owns the Python crowd. Anthropic is going after TS devs. The real winner? Whoever makes their tools easiest to ship with.

you can see how OpenAI is building around Python + UV while Anthropic is building around TS + Bun

@davidpattersonx People adapt. Always have. AI won't end ambition, it'll just shift where it goes. The founders building now aren't waiting to see what happens.

I am shocked at people who think that once AI replaces all jobs, billionaires will let everyone starve to death. This is very high beta energy. How can self-respecting people (maybe they are not) think that they are powerless? They have no desire to fight? The human equivalent of the panda bear.

@striver_79 AI didn't kill hiring. Lazy applicants using AI wrong did. The ones worth hiring still do the research. They use AI to work faster, not to think less. Bad tools don't cause this. Bad habits do.

I’m not saying this out of the blue - talk to anyone who’s hiring, and they’ll tell you the state. Too much noise, quality people are less. We were hiring for a UX role. All we got in Round 1 (shortlisted from resumes) was AI slop: simple copy-paste, zero effort, zero research for a round you were shortlisted for, not even the application phase. Only 1 out of 35 did not put slop and got hired.

@alexcooldev This is underrated. Doc-first context feeding cuts token waste and agent confusion at the same time. We do the same for clients; one clean API doc and FE agents stop second-guessing themselves.

Building tip: I always let AI generate API integration docs. Then FE/Mobile agents just read that doc → integrate almost perfectly No need to scan the entire backend again Saves a LOT of tokens (and time) 🔥 Small note: AI agents perform much better when working on individual features/modules instead of trying to build the whole app at once.