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Medial • 7m
𝗧𝗵𝗶𝘀 𝗦𝘁𝗮𝗿𝘁𝘂𝗽 𝗪𝗲𝗻𝘁 𝗳𝗿𝗼𝗺 $𝟬 𝘁𝗼 $𝟯𝟬𝗠 𝗔𝗥𝗥 𝗶𝗻 𝟭𝟮𝟬 𝗗𝗮𝘆𝘀. 𝗪𝗶𝘁𝗵 𝟬 𝗦𝗮𝗹𝗲𝘀𝗽𝗲𝗼𝗽𝗹𝗲. Let me introduce you to 𝐋𝐨𝐯𝐚𝐛𝐥𝐞 A Swedish AI coding startup that might just be 𝐄𝐮𝐫𝐨𝐩𝐞’𝐬 𝐟𝐚𝐬𝐭𝐞𝐬𝐭-𝐠𝐫𝐨𝐰𝐢𝐧𝐠 𝐬𝐭𝐚𝐫𝐭𝐮𝐩 𝐞𝐯𝐞𝐫. But what if I told you… They had 𝐥𝐞𝐬𝐬 𝐭𝐡𝐚𝐧 𝟐𝟎 𝐩𝐞𝐨𝐩𝐥𝐞. 𝐙𝐞𝐫𝐨 𝐬𝐚𝐥𝐞𝐬 𝐭𝐞𝐚𝐦. And their ARR looked like this: 𝗗𝗮𝘆 𝟯𝟬: $4M ARR 𝗗𝗮𝘆 𝟲𝟬: $10M ARR 𝗗𝗮𝘆 𝟵𝟬:$17M ARR 𝐃𝐚𝐲 𝟏𝟐𝟎: $30M ARR Insane? It gets crazier. Here’s how they pulled it off (and what you can learn): 𝟭. 𝗧𝗵𝗲𝘆 𝗯𝘂𝗶𝗹𝘁 𝗳𝗼𝗿 𝟭𝟴 𝗺𝗼𝗻𝘁𝗵𝘀 𝗯𝗲𝗳𝗼𝗿𝗲 𝗹𝗮𝘂𝗻𝗰𝗵 No noise. No PR. Just heads-down product work. Their first launch? Quiet. But they didn’t stop. They kept improving the AI until it could handle 𝐫𝐞𝐚𝐥, 𝐜𝐨𝐦𝐩𝐥𝐞𝐱 𝐜𝐨𝐝𝐞𝐛𝐚𝐬𝐞𝐬. Then they 𝐫𝐞𝐛𝐫𝐚𝐧𝐝𝐞𝐝. And exploded. 𝟮. 𝗧𝗵𝗲𝘆 𝘄𝗲𝗻𝘁 𝘃𝗶𝗿𝗮𝗹—𝗮𝘄𝗸𝘄𝗮𝗿𝗱 𝘀𝗲𝗹𝗳𝗶𝗲𝘀 𝗮𝗻𝗱 𝗮𝗹𝗹 Forget boring LinkedIn posts. Lovable’s content was authentic and fun. Co-founder Anton Osika says: "𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧 𝐬𝐡𝐨𝐮𝐥𝐝 𝐛𝐞 𝐦𝐨𝐫𝐞 𝐥𝐢𝐤𝐞 𝐓𝐰𝐢𝐭𝐭𝐞𝐫. 𝐁𝐞 𝐚𝐮𝐭𝐡𝐞𝐧𝐭𝐢𝐜.” Result? Their AI was so good, people couldn’t shut up about it online. 𝟑. 𝐓𝐡𝐞𝐲 𝐨𝐧𝐥𝐲 𝐡𝐢𝐫𝐞𝐝 𝐡𝐢𝐠𝐡-𝐚𝐠𝐞𝐧𝐜𝐲 𝐭𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐭𝐚𝐥𝐞𝐧𝐭 Most were ex-founders. They moved fast, solved problems without hand-holding, and built world-class tech. Fun metric: A “good” ARR-per-employee is $200K. “Great” is $275K. Lovable? Over $𝟏𝐌 𝐀𝐑𝐑 𝐩𝐞𝐫 𝐞𝐦𝐩𝐥𝐨𝐲𝐞𝐞. Insane efficiency. 𝟰. 𝗧𝗵𝗲𝗶𝗿 𝗺𝗶𝗻𝗱𝘀𝗲𝘁: 𝗝𝘂𝘀𝘁 𝗟𝗮𝘂𝗻𝗰𝗵 They don’t overthink. They experiment fast — and rarely repeat the same thing twice. "𝐓𝐡𝐞𝐲 𝐡𝐚𝐯𝐞𝐧’𝐭 𝐡𝐮𝐫𝐭 𝐮𝐬. 𝐓𝐡𝐞 𝐦𝐨𝐫𝐞 𝐭𝐡𝐢𝐧𝐠𝐬 𝐲𝐨𝐮 𝐭𝐫𝐲, 𝐭𝐡𝐞 𝐟𝐚𝐬𝐭𝐞𝐫 𝐲𝐨𝐮 𝐥𝐞𝐚𝐫𝐧 𝐰𝐡𝐚𝐭 𝐰𝐨𝐫𝐤𝐬.” — 𝐀𝐧𝐭𝐨𝐧 Examples: Built a 𝐏𝐫𝐨𝐝𝐮𝐜𝐭 𝐇𝐮𝐧𝐭 𝐜𝐥𝐨𝐧𝐞 for Lovable-made projects Launched 𝐋𝐢𝐧𝐤𝐚𝐛𝐥𝐞, a personal website builder made by one of their own half-tech teammates 𝗪𝗵𝘆 𝘁𝗵𝗶𝘀 𝗺𝗮𝘁𝘁𝗲𝗿𝘀 𝘁𝗼 𝘆𝗼𝘂 (𝘆𝗲𝘀, 𝘆𝗼𝘂): Most startups spend forever planning. Lovable? They built, launched, and iterated until something clicked. No magic. Just velocity, clarity, and smart execution. 𝐓𝐚𝐤𝐞𝐚𝐰𝐚𝐲: 𝐁𝐮𝐢𝐥𝐝 𝐟𝐚𝐬𝐭. 𝐋𝐚𝐮𝐧𝐜𝐡 𝐥𝐨𝐮𝐝. 𝐒𝐭𝐚𝐲 𝐥𝐨𝐯𝐚𝐛𝐥𝐞.

Founder | Agentic AI... • 18d
Hundreds of AI agent startups launched in the last two years. Executives are talking about them constantly. But most companies are still missing the point. The mistake isn’t choosing the “wrong” tool. The mistake is treating AI like software instead
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