Yana C. @ycintech

i build the tools i wish i'd had. i make ideas real. Joined July 2011

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Yana C. @ycintech

a month ago

The most capable model, and it’s still telling us to go to sleep. @claudeai

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helped a friend launch a business. today she made the first sale herself, came back lit up, customer wants more. my cut: $3. Dubai, here i come. genuinely though watching a friend get her first "people actually want this" moment is one of the best things you can witness.

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Yana C. @ycintech

2 months ago

if you're using AI heavily in production, you also need to learn its failure modes.

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Yana C. @ycintech

2 months ago

the skill the last two years taught me isn't "how to prompt." it's noticing when a model is: answering the most common version of your problem, NOT yours or sounding confident while GUESSING

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Yana C. @ycintech

2 months ago

spent an afternoon duplicating a complex app project. ended up learning something more useful than i expected

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Guillermo Flor @guilleflorvs

7 months ago

YC just laid out the 7 most powerful moats for AI startup 👇 Here’s the founder-friendly version you should have in your head before you ship your next feature: 0) The moat before all moats: SPEED In the beginning you don’t need a moat. You need to move faster than anyone else can. Cursor-style: short sprints, ship daily, learn in public. 1) Process Power The “boring” 10% that takes 90% of the work. Evals, monitoring, recovery flows, compliance, edge cases. If it’s mission-critical and you make it production-grade, it becomes hard to copy. 2) Cornered Resource Something others can’t easily get: proprietary data, relationships, distribution, regulatory access, domain embedding. Not “we fine-tuned a model.” More like “we own the workflow and the labels of what good looks like.” 3) Switching Costs AI will lower old switching costs (agents can migrate data). But it raises new ones when your agent becomes the customer’s operating system (custom logic + integrations + trust built over months). 4) Counter-Positioning Do what incumbents can’t afford to do. Example: per-seat SaaS vs task-based pricing (AI reduces seats, which kills their revenue model). Or second movers winning by focusing on the application layer and shipping a better product. 5) Brand When customers pick you even at parity. “ChatGPT” became the verb. That’s not a feature. That’s compounding advantage. 6) Network Effects (AI-style) Usage → data → better evals/models → better product → more usage. Not “social graph.” More like “feedback loops that competitors can’t replicate without your volume.” 7) Scale Economies Pay big fixed costs once (infra, data, integrations, compliance) and amortize across many customers. The YC punchline: Don’t use “moats” to talk yourself out of starting. Pre-product, you have nothing to defend. Find a hair-on-fire pain, ship fast, then deliberately deepen 1–2 moats.

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Yana C. @ycintech

7 months ago

Finally.

Startup Archive @StartupArchive_

7 months ago

Marc Andreessen: “The best entrepreneurs of the future will be quite skilled at 6-8 things” Marc is asked how being a founder changes in the age of AI, to which he responds: “I think there are two ways to have a differentiated edge in general — go deep or go broad.” Going deep

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Google Cloud Tech @GoogleCloudTech

9 months ago

Big news: Google Skills is a new learning platform designed to help you develop the skills you need to be successful in today’s job landscape. Sign up now to receive 150 free learning credits and get notified when Google Skills is live → goo.gle/4oce8ES #GeminiAtWork

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Yana C. @ycintech

9 months ago

The best feeling is when someone is asking you "what are you working on right now?" And you are just SO proud to tell that person all about the new project

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Jerry Liu @jerryjliu0

9 months ago

Take: I don’t think n8n is dead OpenAI’s AgentKit is nice but imo it takes a big company’s worth of resources to maintain a 'real' low-code builder with every integration, enterprise controls, customizability, etc. etc. Just look at any RPA company out there. Could OpenAI build this? Yes. Should they though? There’s so many other things to own.

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Yana C. @ycintech

9 months ago

What do you think - is the small dev dream dying or just evolving?

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Yana C. @ycintech

9 months ago

The future seems to belong to those building in areas AI can’t easily swallow - like bioengineering, medicine, or complex systems with real-world depth. Feels like the only safe niche left is the one that takes years, not weeks, to replicate.

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Yana C. @ycintech

9 months ago

It’s getting nearly impossible to stay ahead in consumer tech. You spend weeks building something cool - then OpenAI releases it as a “new feature.” So is the indie dev era over? Maybe for small apps that don’t have deep tech behind them.

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OpenAI Developers @OpenAIDevs

9 months ago

Introducing AgentKit—build, deploy, and optimize agentic workflows. 💬 ChatKit: Embeddable, customizable chat UI 👷 Agent Builder: WYSIWYG workflow creator 🛤️ Guardrails: Safety screening for inputs/outputs ⚖️ Evals: Datasets, trace grading, auto-prompt optimization

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Yana C. @ycintech

9 months ago

That feeling when you've been building your product for weeks only to wake up to the news that @OpenAI has launched exactly that

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Yana C. @ycintech

10 months ago

How do you stop making things with @lovable when it's already 3 am? binge-vibe-coding

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AI (@chagptricks) @chatgptricks

10 months ago

🚨 BREAKING: Google Research just dropped the textbook killer. Its called "Learn Your Way" and it uses LearnLM to transform any PDF into 5 personalized learning formats. Students using it scored 78% vs 67% on retention tests. The education revolution is here.