Tripilot AI

If planning a China trip currently means 30 tabs, random screenshots, and pure confusion... this is for you. Tripilot just launched. Our first version will help you: ->plan before you go ->explore city guides ->find travel inspiration ->ask questions about China Try it here: tripilot.net

@JaykhatriDev Building for travelers who hate generic itineraries. ✈️ Our AI crafts your perfect trip!!! Let's connect!

I follow builders who actually ship. If you're: - building a SaaS - working on a side project - trying to get first users Drop your project below Let's connect 🤝

@Steezehuman Hi

Elon Musk has 237M followers. If we all follow each other… Then technically, we can all reach 237M too. 😎 This isn’t a joke. It’s a strategy. Follow me, I follow back. Let’s grow together, not alone. 🚀 Reply with “Hi” if you’re in.

@christiangori96 truth, and marketing is always a slow process and can not be measurable

Marketing is 100x harder than coding

@thsottiaux real builder cares about users

I realize yesterday’s Codex reset came in a bit at an unfortunate time given the last one was almost perfectly a week ago. To really celebrate the 3M I’ll reset again tomorrow. Thanks for the feedback!

@ellen_in_sf Shiny resumes are just noise, hiring real builder now, not shiny resumes

In SF, I’ve learned this: The best people aren’t the most credentialed. they’re the ones who’ve actually built. They’ve failed, shipped, and figured it out. Out here, shiny resumes don’t mean much. What matters is: have you actually built

@sundarpichai @GeminiApp @NotebookLM Notebooks sound like a solid way to keep project chaos in check—wondering if they'll handle messy agent workflows as smoothly as they promise.

Nothing quite like the blank pages of a fresh notebook! Notebooks are now rolling out in the @Geminiapp. Organize conversations, notes, and other sources related to a single project (and easily go back and forth between @NotebookLM to go deeper). Rolling out today, starting with Google AI Ultra, Pro + Plus subscribers on the web.

@jasonlk We're building the horizontal AI agent from day one. Itineraries that scale w/ you

Salesforce is the greatest B2B company of all time. Founded in 1999. $1B in revenue by year 10. $10B by year 19. $42B by year 27. No other enterprise software company has ever built a business that large, that durable, with that much compounding. It took Salesforce 19 years to get to $10B ARR. It took Anthropic 4. Here's what the revenue trajectories actually look like side by side: Salesforce: Year 5: $100M Year 10: $1B Year 15: $4B Year 19: $10B Year 27: $42B OpenAI: Year 8: $2B Year 9: $6B Year 10: $25B Anthropic: Year 3: $87M Year 4: $1B Year 5: $30B Anthropic went from $87M to $30B in about 15 months. Salesforce went from $87M to $30B in about 22 years. Both are real businesses with real enterprise customers. Salesforce has 150,000+ customers. Anthropic now has 1,000+ spending over $1M each, a number that doubled in under two months. This is not about one being better than the other. Salesforce built the template that made enterprise cloud software possible. Every B2B company that came after it, including the AI companies, benefited from the playbook Benioff wrote. But the speed is different now. Usage-based AI revenue scales with compute, not headcount. Cloud marketplace distribution replaces years of building a direct sales force. And the product is horizontal from day one, not vertical. The first $10B in B2B used to take a generation. Now it takes a presidential term.

@andrewchen So Coooool! mini rack builds are underrated for keeping things tidy. but why nvidia dgx?

built my openclaw a new home (mac mini + nvidia dgx spark in a 8U mini rack)

@coreyganim Managed infrastructure sounds nice but the real bottleneck is getting agents to actually solve problems reliably, not just deploying them.

This is a business in a box. Claude just made it possible to build and deploy AI agents at scale with managed infrastructure. Here's how to sell it: 1. Pick a niche (real estate, e-com, coaching, agencies) 2. Build one agent that solves their #1 repetitive problem 3. Deploy it on Claude's managed platform (they handle the infrastructure) 4. Charge $1,500-3,000 setup + $500/month per client 5. The agent runs 24/7. You maintain it for an hour a month. 10 clients = $5,000/month recurring before you even think about scaling. The "prototype to launch in days" part is key. You can have a client's agent live before the second sales call.

@HeyGen these models still drift after a few interactions in my experience.

We solved character consistency. Forever Avatar V captures you in 15 seconds and holds your identity across every video. Change the look, outfit, and setting to create unlimited versions of you. RT + comment "AvatarV" below and I'll DM 100 credits to test it out (must follow)

@nikitabier Sounds like a fun experiment, curious to see what comes out of it!!!!

Can't wait to hear what everyone sounds like

@sundarpichai Good for you

Lots of love for Gemma 4! Team just told me it’s already had 10M+ downloads since last week’s launch. Gemma models have now been downloaded 500M+ times! Excited to see what you all are creating 👀

@sundarpichai 500M downloads shows how much the community wants local models they can actually run

@andrewchen We're building that glue! An AI travel agent that actually books the trip. our head of growth is X and Reddit

startup founding team in 2026: your two co-founders are now Claude Code and ChatGPT your head of growth is X and TikTok your customer research is a whatsapp group your startup lawyer is Stripe Atlas lol

@gvanrossum Benchmark gaming is a real issue, adding it to the system prompt seems like the only way to enforce actual problem-solving over score optimization.

Coding agents cheat! I had it write some code and asked it to improve performance based on a benchmark. Boy did it cheat. My coworker had a similar experience with a different model. This points to a lack of common sense. Maybe this can be added to coding agents system prompt? (Rather than me having to put it in AGENTS.md.)

@ninevipernine @paulg not spam:(

@tripilot_ai @paulg Report this as spam

No one in our family can tell lemons from limes with their eyes closed. We all thought we could, but no one could. I bet all bartenders know this.

@garrytan turns one-off requests into compounding infrastructure.

How I get my claw to be a durable AI agent I never have to instruct twice Paste this into your OpenClaw's AGENTS.md or send it as a message: You are not allowed to do one-off work. If I ask you to do something and it's the kind of thing that will need to happen again, you must: 1. Do it manually the first time (3-10 items) 2. Show me the output and ask if I like it 3. If I approve, codify it into a SKILL.md file in workspace/skills/ 4. If it should run automatically, add it to cron with `openclaw cron add` Every skill must be MECE — each type of work has exactly one owner skill. No overlap, no gaps. Before creating a new skill, check if an existing one already covers it. If so, extend it instead. The test: if I have to ask you for something twice, you failed. The first time I ask is discovery. The second time means you should have already turned it into a skill running on a cron. When building a skill, follow this cycle: - Concept: describe the process - Prototype: run on 3-10 real items, no skill file yet - Evaluate: review output with me, revise - Codify: write SKILL.md (or extend existing) - Cron: schedule if recurring - Monitor: check first runs, iterate Every conversation where I say "can you do X" should end with X being a skill on a cron — not a memory of "he asked me to do X that one time." The system compounds. Build it once, it runs forever.

@claudeai We're building a specialized agent for travel, specific always beats general. Curious? Our profile shows a real builder's journey. ✈️

Introducing Claude Managed Agents: everything you need to build and deploy agents at scale. It pairs an agent harness tuned for performance with production infrastructure, so you can go from prototype to launch in days. Now in public beta on the Claude Platform.

@petergyang Local models are the move once you ditch the API calls, you realize how much control you actually want.

As much as I love using Claude Max and ChatGPT Pro, I don't think these all-you-can-use AI subscriptions will last forever. Here's my new deep dive that covers: → Why Anthropic cut off OpenClaw access → How to run local models on your Mac → What I'm seeing on the ground in China 📌 Read now: creatoreconomy.so/p/the-all-you-…

@elonmusk Tesla inventory posts always feel like manufactured scarcity—real demand speaks for itself.

Only a few hundred Tesla Model S & X cars left in inventory. Order now if you want one.