Bob (@Build_Like_Bob) header
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fuck the system, just build

Austin, TX
Joined December 2024
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Seriously saying goodbye to Claude and all other anthropic products The pushing back, the lazy work, the overly wordy replies - I’m over it all
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it’s now unclear to me that even openai realizes how strange the distinction between chat & work feels in practice & how fragmented the entire chatgpt experience has become. like if you leave it on work, every simple question or search becomes an expedition. it starts thinking, planning, & using tools when you just wanted a quick answer. if you leave it on chat, the product feels increasingly constrained & legacy. you often can’t choose the level of intelligence you want, & the moment you need it to actually do something, you have to switch back. so there is no good default. chat is often too limited for real tasks. work is too slow & cumbersome for normal queries. constantly switching between them makes the entire product infinitely more complex. also the lack of sync between mobile & desktop plus what’s a local chat vs cloud chat is a mess. chatgpt went from the most usable simple consumer experience to confusing af in such a short period of time. pretty nuts.
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Bob retweeted
BRO LITERALLY PREDICTED THIS
There’s been a lot of speculation about where we stand on open-weights models. We’ve outlined our views in full here: anthropic.com/news/position-…
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The entire tech industry (save for Anthropic) has come out in favor of open source AI. So what happens next? Will Anthropic change its lobbying efforts? Not likely. Now the gaslighting begins: “Nobody is trying to ban open source.” “We just want to limit who can use it.” “We just want to limit who can contribute to it.” “We just want to limit how powerful those models can be.” “We just want to make sure the guardrails (we lobbied for) can’t be removed.” The net effect will be the same. They won’t stop until they kneecap open source. The rest of the industry needs to watch these guys like a hawk.
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So let me get this straight.... 1. Agents are about to outnumber humans on the internet, so most of the traffic, transactions, and conversations online will soon be machines talking to other machines while we sleep. 2. Superintelligence exists now, and for $20/mo you pretty much get it all. 3. Cloud agents allow you to run a business 24/7 and from literally a phone while you're waiting to order a latte. 4. Voice AI is wide open. This industry has barely changed since the 90s. Infinite opportunities. Voice AI is finally getting good enough. 5. Mobile apps are interesting again for the first time in 10 years, because an AI-first app that thinks and acts on its own is a different species than the passive ones in the store today. There are kids doing $100k/MRR. 6. It's the golden age of open source. The models you download off Hugging Face for free and own forever are landing within months of the ones behind paywalls, so the smartest thing on earth can't be throttled, priced up, or shut off by a company having a bad quarter. 7. The keyboard is on its way out. We spent 40 years learning to type fast, and it's about to feel like handwriting, because soon you just talk and the computer goes and does it. 8. Every company is about to hire agents with their own logins, their own inboxes, their own track records, and a shadow economy is forming where agents pay, hire, and vouch for other agents. 9. Software stopped being something you buy and became something you rent by the hour. The whole industry is repricing from $50 a seat to thousands per outcome. Tons of opportunity. 10. Robots are about to have the moment software agents just had. The intelligence got solved. Now it's dropping into machines with arms and legs, and the people who can wire AI into hardware are about to be the most fought-over hires on earth. 11. The 10-person startup can now out-ship the 500-person company, and everyone can feel it happening. 12. Every white-collar task is getting a "do it for me" button, and most people haven't pressed it yet. 13. Data you've been sitting on for years is suddenly worth something, because now an agent can actually use it. 14. Language stopped being a barrier. Real-time translation that actually works means the next huge consumer app might get built for a market you can't even read, by someone you'll never meet. 15. Every SOP is turning into a product. The way a business does one thing, written down as a markdown file an agent can run, is now something you can sell. Knowledge that used to live in someone's head became downloadable. 16. The moat moved from what you know to how well your business is written down. The company an agent can actually run wins, so being legible beats being big. 17. Since agents will get scammed by other agents, a whole trust layer has to get built. The Yelp for agents. The escrow for machines. Wide open. 18. You keep the whole thing now. A business that needed 50 people to hit $10M needs 3 and some agents, so instead of splitting it 200 ways with investors, it's just yours. 19. Search engines minted a generation of millionaires and billionaires. LLM search is about to do it all over again. Billions of eyeballs are moving off Google and onto ChatGPT, so being the answer inside the models is the new front page. 20. The margins are stupid. You charge someone what they'd pay a human, and it costs you a few bucks in tokens. That gap used to go to payroll. Now it goes to you. Any one of these would DEFINE a decade on its own. We got ALL of them at once, stacked on top of each other in the same 18 months. It's a magical time to be building. You don't need to overthink it. Build.
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The biggest scam humanity has collectively accepted as normal, according to Claude
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Buyside jobs are just as much about managing your portfolio manager's biases, as it is about underwriting the actual fundamentals of the deal
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The offsides-detecting technology is killing the game (alongside the weak ass hydration breaks)
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I don't know why more people aren't buying dead SaaS companies and turning them into AI agent companies. 1. Use OpenClaw, Hermes, Perplexity Computer etc to build an automation that scans Product Hunt, Acquire, and app stores for dead SaaS products. Filter for ones that launched 2019-2024, had real customers, and went quiet. 2. Reach out to the founder on X. Most of them will respond within a day because they've been wanting to sell for a year and nobody asked. 3. Buy it. $5-30k. Sometimes less. 4. Export the database. Feed it to Claude or GPT. Map every workflow their customers were trying to do. 5. Read the support tickets. This is the goldmine. 200 strangers already told the last founder exactly what they needed and he couldn't deliver it. 6. Build an agent-native version that actually does those workflows instead of giving people a dashboard to do them manually. 7. Upload the old email list to Meta. Build a lookalike audience. Those old customers have moved on. You're not selling to them (realistically). You're using their data to find the next them. 8. Run $20/day ads targeting people who look exactly like the customers who already validated this market for you. 9. Build content around the exact pain points you found in the support tickets. Post on X. Post on YT. You already know what to say. 10. You now have the customer profile, the pain points, the pricing sensitivity, the churn reasons, and a lookalike audience. Your competitor who's starting from scratch has a landing page and a guess. The dead SaaS acquisition playbook is going to be one of the biggest quiet wealth builders of the next 5 years. Most SaaS products are a collection of workflows that can be rewritten as agent skills. Many will die. The top ones will pivot to agent companies. Build agent companies.
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in basketball the best players love spacing cuz it gives room to move, & lanes to attack. tech rn is maximum spacing. the floor is effectively wide open. the world is reshuffling fast enough that an entrepreneur gets to define what the next version looks like. chaos is a ladder type stuff. these types of windows don’t stay open long & don’t occur as often as you’d like them to.
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these jokers left me stranded in a random state for layover. our flight arrived late causing me to miss a connecting flight. no refund, no accommodations, no flight options to continue the trip nor return home. had to buy a new flight home after 8 hours on calls. ABSOLUTE WORST
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the future interface is probably three layers: 1. ambient intent capture voice, location, calendar, screen context, messages, habits, biometrics, etc. the system understands what you’re trying to do before you explicitly “open” anything or augments your intent deeply. 2. agentic execution the actual work happens through agents operating software, apis, browsers, documents, email, calendars, workflows, payments, support systems, whatever. most “computer use” becomes machine to machine clerical labor. 3. ephemeral verification ux humans still need to inspect, compare, approve, edit, reject, or enjoy things. that’s where gui survives but as disposable, task specific surfaces generated for the moment.
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i’ve thought a lot about careers, & the question that kept surfacing in my mind was do i want to spend fifteen years climbing a ladder someone else built until i’m finally a vp of something? or do i want to do some crazy shit & see where life takes me? my personality has always bent toward the latter. & when i stress test it against the long view time & time again, the math still works cuz i ask a very simple question which is that do i want my kids to say “dad spent his life moving from level to level at some company,” or do i want them to say “dad wrote some dumb stuff online, actually created stuff outta nothing, contributed to the culture directly, had a lot of fun, & ended up here”? the second one wins every time here too.
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excited to share what we have been up to. your iphone’s home screen hasn’t changed in ~20 years. it’s the same static grid of icons since launch with zero awareness of your actual life. @skye is a new agentic home screen for iphone. no telegram. no mac mini. & no claws required. skye is ambient intelligence that just works. it continuously listens to your context & acts on it. it builds your reading lists, gives you personalized weather, drafts email replies, prepares you for meetings & trips, flags suspicious charges, works through your reminders, tracks your health, & gives you one tap intel on wherever you are (restaurants, museums, neighborhoods, etc). all surfaced on your home screen. over the next few posts i’ll break down how it works, why we built it, & why we think it deserves to exist in the world. beta starts today. if you’re on the list, you’ll get access very soon. app store shortly after. deeply appreciate you all following along on this fun little journey. also please join our discord !
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Now this is an ad.
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Bob retweeted
Genuine question. If Claude can clone your entire SaaS in 45 minutes, why would anyone pay you $29/month for it? What is your actual moat?
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Anthropic just mass-obsoleted every agent orchestration startup in a single launch. The screenshot tells the full story. That's a production fleet dashboard. 8 agents running. 247 completed tasks. Active status. MCP-connected to HubSpot, pulling deals, generating proposals, reading attachments. This isn't a demo. It's a managed production environment where you define the agent and Anthropic runs the infrastructure. The timing here is surgical. Four days ago, Anthropic blocked OpenClaw and every third-party harness from using subscription credentials. The message was clear: stop building on top of our consumer auth layer. Now here's the replacement. A first-party managed agent platform with fleet monitoring, production-grade MCP integrations, and prototype-to-launch timelines measured in days. Manus spent six months on five harness rewrites. LangChain spent a year on four architectures. Anthropic just shipped the managed version that eliminates the need to build one at all. The real bet: most companies don't want to build agent infrastructure. They want agents that work. Anthropic is pricing this into the platform the same way AWS priced server management into EC2. The 46% of enterprises citing "integration with existing systems" as their primary agent challenge just got a first-party answer from the model provider itself. Every agent startup that raised on "we make Claude reliable in production" just lost their pitch deck.
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.
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my experience with gpt 5.4 in openclaw - pls continue - yes pls do that - yes do what i told you to do - yes continue - please do what you said you're gonna do - did you do that? no. then pls do it. just pure pain
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Magical OpenClaw experiences that use frontier models cost $300-1,000/day today, heading to $10,000/day and more. The future shape of the entire technology industry will be how to drive that to $20/month.
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I'm calling it. AGI is already here – it's just not evenly distributed yet.
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