Carmen (she/her) 👩🏽‍💻⚡️🦸🏾‍♀️🏳️‍🌈

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Carmen (she/her) 👩🏽‍💻⚡️🦸🏾‍♀️🏳️‍🌈 banner
Carmen (she/her) 👩🏽‍💻⚡️🦸🏾‍♀️🏳️‍🌈

Carmen (she/her) 👩🏽‍💻⚡️🦸🏾‍♀️🏳️‍🌈

@Makerealcents

Tweet about personal finance, AI, side projects and tech. 74k on IG. Vibe 💻 with AI 👉🏾 https://t.co/VC0TT0oM0I, https://t.co/ScGpmcMHC7, https://t.co/ttNGsnTJNe

New York, USA เข้าร่วม Aralık 2017
1.7K กำลังติดตาม4.8K ผู้ติดตาม
Carmen (she/her) 👩🏽‍💻⚡️🦸🏾‍♀️🏳️‍🌈 รีทวีตแล้ว
Arvind Jain
Arvind Jain@jainarvind·
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Chris Raroque
Chris Raroque@raroque·
@Makerealcents i always try to use react native for every project but every time i switch off because i run into some issue usually its a complex interaction issue (i do a lot of drag/drop, etc... in my apps) if you're going ios only, i recommend it :)
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Jacob Klug
Jacob Klug@Jacobsklug·
These vibe-coded apps make $180K/month. With the smallest making $3k/month all the way to $90k/month. In this video, I go through each and analyzed what make each work (or not work). So you can replicate these strategies in your own apps. Comment and I'll DM you the full video.
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Carmen (she/her) 👩🏽‍💻⚡️🦸🏾‍♀️🏳️‍🌈
So many good gems from this interview
Lenny Rachitsky@lennysan

My biggest takeaways from @ElenaVerna (Head of Growth at @Lovable): 1. In AI, you now need to find product-market fit every three months. Product-market fit used to mean: build something people want, then scale it for years. In AI, the underlying technology changes so fast—and customer expectations with it—that you’re constantly re-earning that fit. Even at $200M ARR. 2. The growth playbook has fundamentally changed for AI companies. Elena has led growth at Miro, Dropbox, and Amplitude and advised dozens more companies on growth. At Lovable, she says only 30% to 40% of what she learned in 20 years still applies. 3. At Lovable, growth is driven mostly through new features, not optimizing funnels. At the fastest-growing company in history, optimization drives about 5% of their growth. The other 95% comes from launching new features and products. Small tweaks don’t move the needle when everything is changing. 4. Ship constantly, and talk about it. Lovable’s main growth and retention strategy: ship features fast enough that customers feel the product is always alive. Engineers announce their own updates. The founder tweets progress daily. This keeps users curious—and keeps competitors scrambling. 5. Give your product away like candy. AI products are expensive to run, so most companies gate them behind paywalls. Lovable does the opposite: they fund hackathons, sponsor events, and hand out free credits. They treat this spending as marketing, not cost—and it compounds through word of mouth. 6. Influencer marketing outperforms paid ads by 10x. Lovable found that short videos showing what the product can do spread faster and convert better than traditional paid advertising. Showing beats telling. 7. “Minimum viable product” is dead. Elena describes the new minimum bar as “minimum lovable product.” If the experience doesn’t delight people, they won’t tell anyone. And word of mouth is your primary engine. 8. Community isn’t a nice-to-have. It’s a key lever for growth. Lovable’s Discord has hundreds of thousands of members helping each other. This amplifies word of mouth, drives retention, and makes customers feel like insiders. Building the product alone isn’t enough anymore—you’re building a world. 9. Hire people who create clarity from chaos. Fast-moving AI companies don’t have neat job descriptions or stable roadmaps. Elena looks for high-agency people who thrive in mess, including new graduates who are AI-native and former founders who know how to operate without instructions. 10. You can work at one of the fastest-growing companies in history and still see your kids. Elena wakes at 6 a.m. Stockholm time, protects her gym and family hours, and refuses to treat burnout as a badge of honor. Her point: if you set boundaries, the work will fill the available time—not all the time.

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MotionViz
MotionViz@Motion_Viz·
Stop prompting AI to "make me a landing page." 200+ hours testing taught me this: Generic prompts → pretty pages My prompts → pages that sell The pack includes: → 3D Landing Hero Section → Sentient 3D Core → Cyberpunk Volumetric Shaders → Microlender Protocol → Hyper-Futuristic MCP-2099 Like + reply "PROMPT" for the library. (following required for DM)
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Carmen (she/her) 👩🏽‍💻⚡️🦸🏾‍♀️🏳️‍🌈 รีทวีตแล้ว
Rexan Wong
Rexan Wong@rexan_wong·
if you use @shadcn ui for your apps, you're gonna love these 7 ui libraries: > kokonutui.com > cult-ui.com > pro.cult-ui.com > tailark.com > smoothui.dev > patterncraft.fun > motion-primitives.com imagine spending thousands on overpriced designers to make your app sexy when you have prebuilt components like these that elevate the shadcn experience i sprinkle em in all my apps and everyone loves using it for a reason...
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Carmen (she/her) 👩🏽‍💻⚡️🦸🏾‍♀️🏳️‍🌈 รีทวีตแล้ว
George from 🕹prodmgmt.world
Customer interviews are what made me stand out as a PM. But it took me 18 months to master JTBD theory. In 1 minute, I'll teach you what took me 18 months. 1. Stop asking about solutions Instead ask: "What were you trying to accomplish?" 2. Focus on timeline "Walk me through the day you decided to make a change" 3. Hunt for emotions "What was frustrating about your previous approach?" 4. Document verbatim Actual quotes > your interpretations 5. Look for patterns 4-5 interviews saying the same thing > 20 random data points I've done hundreds of interviews this way. It's not a foolproof way to ship good products, but you reduce the risk of failure with this. The uncomfortable truth: Most PMs do "customer interviews" but just validate their existing ideas. Real insights come from shutting up and listening. (I have 100+ proven interview questions saved in prodmgmt.world if you want to get started)
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Kaif
Kaif@kaif9999·
What’s harder to build? - Product - Audience
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Gus Tiffer
Gus Tiffer@gus_tiffer·
Day 1 - building another app while my baby (refuses to) nap
Gus Tiffer tweet media
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Allie K. Miller
Allie K. Miller@alliekmiller·
Gemini 3, are you freaking kidding me. Vibe coded a sign language recognition app with video enabled, confidence scores, sampling settings, and tips in under 5 minutes. Code written with Gemini-3. Gemini-2.5 handling detection. Video is sped up 2x.
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