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Continuous Learning_Startup & Investment

Continuous Learning_Startup & Investment

Kanalga Telegramโ€™da oโ€˜tish

We journey together through the captivating realms of entrepreneurship, investment, life, and technology. This is my chronicle of exploration, where I capture and share the lessons that shape our world. Join us and let's never stop learning!

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Sam to Brian many people have reached out to offer help and advice over the past year; no one has gotten close to @bchesky in terms of delivering. he will take a midnight call any time, put in hours of work on any topic, answer difficult questions correctly/with clarity, make any intro, etc maybe most importantly, he will offer unwavering support on bad days. he does this quietly in the background and never asks for anything other than learning about AI. most companies have someone like this in their history, but they never get enough credit. thank you, brian.

Venture capital firm IVP is leading an investment in Perplexity, developer of an artificial intelligenceโ€“powered search engine that competes with OpenAIโ€™s ChatGPT and Googleโ€™s Bard, according to people with direct knowledge. The deal values the 1-year-old company at around $500 million, including the new capital, up from a $150 million post-investment valuation from an earlier financing announced in March. Perplexity is generating $3 million in annual recurring revenue as of this month, meaning the deal will give it a valuation multiple of about 150 times ARR.

We've had a long history at Sequoia Capital investing in the most transformative AI companies: from NVIDIA's Seed and Google's Series A, to OpenAI in 2021, among others. I spoke to Genรฉ Teare at Crunchbase about AI's role in Sequoia's seed and early stage companies: I'm excited about everything from: - infra tooling / developer tools to 1) help companies embrace AI and 2) support a burgeoning open source ecosystem - technical advancements around/beyond generative models, diffusion models, the Transformer architecture - new domains beyond language and even multi-modal - new enterprise applications in sales, marketing, productivity, security - new consumer applications providing companionship, dating, social connection and creative expression - chips/hardware - but the BEST ideas are imaginative and unpredictable...surprise me and I'll dream alongside you! https://news.crunchbase.com/ai/sequoia-capital-growing-ai-portfolio-openai-stephanie-zhan/

When youโ€™re a new executive at a startup, send a weekly update email to the CEO for the first ~12 weeks. Dramatically increases your probability of success for 15 minutes of effort each week. Credit Jason M. Lemkin for teaching me this.

์„ธ๋ถ€ ๋ฐฉํ–ฅ์„ฑ์€ ๊ณ„์† ์‹œ๋„ํ•˜๋ฉด์„œ ๋ฐ”๊ฟ”๋†“์•„์•ผ ํ•˜๋Š”๋ฐ, ๋น„์ „์ด ์‚ฌ์—…๋ฐฉํ–ฅ์œผ๋กœ ์ •ํ•˜๋ฉด, ์‚ฌ์—…๋ฐฉํ–ฅ์„ ๋ฐ”๊ฟ€ ๋•Œ๋งˆ๋‹ค ๋น„์ „์„ ๋ฐ”๊ฟ”์•ผ ํ•˜๋Š”๋ฐ, ๊ทธ๋Ÿด ์ˆ˜๋Š” ์—†๋‹ค. ๋น„์ „์€ ์šฐ๋ฆฌ๊ฐ€ ํ•˜๊ณ  ์‹ถ์€ ์ผ์ด ์•„๋‹ˆ๋ผ, ๊ณ ๊ฐ์„ ์œ„ํ•œ ๊ฒƒ์ด์—ฌ์•ผ ํ•œ๋‹ค ( ๊ทธ๋Ÿฌ๋ฉด ๋œ ๋ฐ”๋€” ์ˆ˜ ์žˆ๋‹ค.) ๊ธฐ์—…์ด ์กด์žฌํ•˜๋Š”๊ฑด ๊ณ ๊ฐ์—๊ฒŒ ๊ฐ€์น˜๋ฅผ ์ œ๊ณตํ•˜๊ธฐ ์œ„ํ•จ์ด๊ณ , ๊ณ ๊ฐ์ด ์ œ์ผ ์ค‘์š”ํ•˜๋‹ค. ๋น„์ „๋„ ๊ณ ๊ฐ์„ ๋ฐ”๋ผ๋ณด๋Š” ๊ฒƒ์ด ์œ ๋ฆฌํ•œ๋‹ค. ๋„ค์ด๋ฒ„ ์ฐฝ์—…์ž ์ดํ•ด์ง„๋‹˜์€ ์ด์‚ฌํšŒ ์˜์žฅ, ๋ผ์ธ ์ฐฝ์—…์ž ๊ฒธ ํšŒ์žฅ์œผ๋กœ์จ ์–ด๋–ค ๋น„์ „๊ณผ ๊ฒฝ์˜ ์ฒ ํ•™์„ ๊ฐ–๊ณ  ์žˆ๋А๋ƒ๋Š” ์งˆ๋ฌธ์—๋Š” โ€œ๊ทธ๋Ÿฐ ๊ฑฐ ์—†๋‹คโ€๊ณ  ์ž˜๋ผ ๋งํ–ˆ๋‹ค. ๊ทธ๋Š” โ€œ๋น„์ „์ด ๊ฐ•ํ•˜๋ฉด ๋‚จ์—๊ฒŒ ์„ค๋ช…ํ•  ๋•Œ๋Š” ์ข‹์ง€๋งŒ ์›€์ง์ด๊ฑฐ๋‚˜ ๋ณ€ํ™”ํ•  ๋•Œ๋Š” ๊ฑธ๋ฆผ๋Œ์ด ๋œ๋‹คโ€๋ฉฐ โ€œ3๋…„ ๋’ค, ํ˜น์€ 5๋…„ ๋’ค ๋„ค์ด๋ฒ„์™€ ๋ผ์ธ์ด ์–ด๋–ค ๋ชจ์Šต์œผ๋กœ ์„ฑ์žฅํ•  ๊ฒƒ ๊ฐ™์œผ๋ƒ๊ณ  ๋ฌผ์œผ๋ฉด ํ•  ๋ง์ด ์—†๋‹ค. ๊ฒฝ์˜์ฒ ํ•™๋„ ๋งˆ์ฐฌ๊ฐ€์ง€โ€๋ผ๊ณ  ๋งํ–ˆ๋‹ค. ---------- 11. ์—ฐ ์ตœ์†Œ 2๋ฐฐ๋Š” ์„ฑ์žฅํ•ด์•ผ ํ•œ๋‹ค (์ตœ์†Œํ•œ ๋ชฉํ‘œ๋กœ ํ•ด์•ผ ํ•œ๋‹ค) ์ „: 5๋…„์— (๋งค์ถœ์ด) 100๋ฐฐ ์„ฑ์žฅํ•˜๋ ค๋ฉด 3๋…„๊ฐ„ 3๋ฐฐ์”ฉ, 2๋…„๊ฐ„ 2๋ฐฐ์”ฉ ํ•˜๋ฉด ๋‹ฌ์„ฑ ๊ฐ€๋Šฅํ•˜๋‹ค. ํ›„: ๊ทธ๋ ‡๊ธฐ ์„ฑ์žฅํ•˜๊ธฐ ์–ด๋ ต๋‹ค. ๊ทผ๋ฐ ๊ทธ๋ž˜๋„ ํ•ด๋‚ด์•ผ ํ•œ๋‹ค. ๊ทธ๋ฆฌ๊ณ  ๊ทธ ๊ณผ์ •์ด ๊ฑด์ „ํ•ด์•ผ ํ•œ๋‹ค. ๊ทธ๋ž˜์„œ ๋งค์ถœ๋งŒ ๊ด€๋ฆฌํ•˜๋ฉด ์•ˆ ๋˜๊ณ  ์ด์ต์œจ๋„ ๊ด€๋ฆฌํ•ด์•ผ ํ•œ๋‹ค ๋งค์ถœ์„ ๋ฐœ์ƒ์‹œ์ผฐ๋ƒ = ๊ณ ๊ฐ์„ ๋งŒ์กฑ์‹œ์ผฐ๋ƒ ์ด์ต์„ ๋ฐœ์ƒ์‹œ์ผฐ๋‚˜ = ๊ทธ ๊ณผ์ •์„ ์šฐ๋ฆฌํšŒ์‚ฌ๊ฐ€ ํšจ์œจ์ ์œผ๋กœ ํ•ด๋ƒˆ๋ƒ ๋ผ์„œ 2๊ฐœ๊ฐ€ ์ „ํ˜€ ๋‹ค๋ฅธ ์–˜๊ธฐ์ผ ์ˆ˜ ์žˆ๋‹ค. ์ด์ต์œจ ๊ด€๋ฆฌ ๋ฉด์—์„œ๋„ ์ตœ์†Œํ•œ '๊ณ„ํš๋œ ์ ์ž' ๋ผ๊ณ  ๋งํ• ๊บผ๋ฉด CAPEX์™€ OPEX์— ๋Œ€ํ•œ ๊ตฌ๋ถ„์„ ์ง€์–ด์„œ "CAPEX์— ํˆฌ์žํ•˜๊ณ  ์žˆ๊ธฐ ๋•Œ๋ฌธ์— ๋น„์šฉ์œผ๋กœ ๋ณด์ด์ง€๋งŒ ์ง„์งœ๋Š” ์ž์‚ฐ์œผ๋กœ ์Œ“์ด๊ณ  ์žˆ๋Š” ์ƒํ™ฉ" ์ด๋ผ๊ณ  ๋งํ•  ์ˆ˜ ์žˆ์–ด์•ผ ํ•œ๋‹ค. ๊ฒฐ๊ตญ ์Šคํƒ€ํŠธ์—…์—์„œ ๋Œ€ํ‘œ ๋ง๊ณ  ํŒ€์›๋“ค๋„ ์œ ์˜๋ฏธํ•œ ๋ณด์ƒ์„ ๋ฐ›๊ธฐ ์œ„ํ•ด์„œ๋Š” 1000๋ช…์ด์„œ 10์กฐ ํšŒ์‚ฌ๋Š” ๋งŒ๋“ค์–ด๋‚ผ ์ˆ˜ ์žˆ์–ด์•ผ ํ•œ๋‹ค. (100๋ช…์ด 1์กฐ์—ฌ๋„ ๋™์ผํ•  ์ˆ˜ ์žˆ๋Š”๋ฐ, 100๋ช…์œผ๋กœ 1์กฐ ์งœ๋ฆฌ ํšŒ์‚ฌ ๋งŒ๋“œ๋Š”๊ฒŒ 1000๋ช…์ด์‚ฌ 10์กฐ์งœ๋ฆฌ ํšŒ์‚ฌ ๋งŒ๋“œ๋Š” ๊ฒƒ๋ณด๋‹ค ์–ด๋ ต๋‹ค) 10์กฐ ํšŒ์‚ฌ๊ฐ€ ์ƒ์žฅ ์ „๊นŒ์ง€ ๋ฌด๋ ค 10% ์Šคํ†ก์˜ต์…˜์„ ๋ถ€์—ฌํ•œ๋‹ค๊ณ  ํ•ด๋„ 1์กฐ์ด๊ณ , 1์กฐ๋ฅผ 1000๋ช…์ด ๋‚˜๋ˆ ๊ฐ€์ง€๋ฉด 10์–ต์ด๋‹ค. ๋งŽ์ด ๊ฐ€์ ธ๊ฐ€๋Š” ์‚ฌ๋žŒ์ด ์žˆ์„ํ…Œ๋‹ˆ ์ธ๋‹น 5์–ต ์ •๋„ ๋ฐ›์„ ์ˆ˜ ์žˆ๋‹ค๊ณ  ํ•˜๋ฉด, ํ•จ๊ป˜ ๊ณ ์ƒํ•ด์„œ 10๋…„ ๋™์•ˆ ๋ฐ์นด์ฝ˜์„ ๋งŒ๋“ค์—ˆ๋‹ค๋ฉด ๊ทธ์ •๋„๋Š” ์„ธ์ „์œผ๋กœ ๋ฐ›์•„์•ผ(์„ธํ›„๋กœ๋Š” ๋” ์ ์–ด์ง) ๊ฐœ์ธ์ ์ธ ์ฐจ์›์—์„œ ์œ ์˜๋ฏธํ•œ ์ž์‚ฐ ๋ณ€ํ™”๊ฐ€ ์ผ์–ด๋‚  ์ˆ˜ ์žˆ๋‹ค. ๋ฐ์นด์ฝ˜(10์กฐ ๊ฐ€์น˜)์ด ๋˜๋ ค๋ฉด, ์ตœ์†Œ๋กœ ๋งค์ถœ์€ 1์กฐ๋Š” ๋˜์–ด์•ผ ํ•œ๋‹ค. (๋งค์ถœ์ด์ด์ต์œผ๋กœ ์žก๋Š”๊ฒŒ ๋” ์ข‹์„ ์ˆ˜ ์žˆ๋‹ค. ๋งค์ถœ์ด์ด์ต์œจ์ด ๋‚ฎ์€ ํšŒ์‚ฌ๋Š” PSR 10๋ฐ›๋Š”๊ฑด ์‚ฌ์‹ค ์–ด๋ ค์›€) ๊ทธ๋Ÿฌ๋ ค๋ฉด 1000๋งŒ๋ช…์ด ์—ฐ 10๋งŒ์›์”ฉ ์“ฐ๋Š” ์„œ๋น„์Šค๋ฅผ ๋งŒ๋“ค์–ด์•ผ ํ•œ๋‹ค (ํ˜น์€ 100๋งŒ๋ช… 100๋งŒ์›์„ ์“ฐ๋Š” ๊ณ ๋ถ€๊ฐ€๊ฐ€์น˜ ์‚ฌ์—…์ด๋“ , ๊ธ€๋กœ๋ฒŒ ๊ฐ€์„œ 1์–ต๋ช…์ด 1๋งŒ์›์”ฉ ์“ฐ๋Š” ์„œ๋น„์Šค ๋งŒ๋“ค๋“ ) ๋‹ค๋งŒ ์ฒซ ๋น„์ฆˆ๋‹ˆ์Šค๋ฅผ ์žก์„ ๋•Œ ๋งค์ถœ 1์กฐ๊ฐ€ ๋  ์ˆ˜ ์žˆ๋Š”๊ฑธ ์žก์ง€๋Š” ์•Š์•„๋„ ๋˜๋Š” ๊ฒƒ ๊ฐ™๋‹ค. ๋ฐ์นด์ฝ˜์ด ๋ ์ง€๋Š” ์œ ๋‹ˆ์ฝ˜์ด๋‚˜ ๋˜๊ณ  ๋‚˜์„œ ๊ฒฐ์ •ํ•˜๋ฉด ๋œ๋‹ค. ๋‹ค๋งŒ ์œ ๋‹ˆ์ฝ˜ ๋ ์ง€๋Š” 1000์–ต ๊ฐ€์น˜๊ฐ€ ๋˜๊ณ  ๋‚˜์„œ ๊ฒฐ์ •ํ•˜๊ธฐ์—๋Š” ๊ทธ ๋•Œ ํ”ผ๋ด‡ํŒ…์„ ํ•ด์•ผ ํ•˜๋Š” ๊ฑฐ๋ผ์„œ, ์–ด๋ ค์šธ ์ˆ˜ ์žˆ๋‹ค. ์œ ๋‹ˆ์ฝ˜๊นŒ์ง€๋Š” 1๊ฐœ ์‚ฌ์—…์œผ๋กœ ๊ฐ€์•ผ ํ•  ์ˆ˜ ์žˆ๋‹ค. ๋งค์ถœ1์กฐ 10๋…„๋‚ด ๋งŒ๋“ค๋ ค๋ฉด ๋งค์ถœ1์–ต๋ถ€ํ„ฐ ์‹œ์ž‘ํ•ด์„œ ๋งŒ๋ฐฐ, ์ฆ‰100๋ฐฐ์”ฉ 2๋ฒˆํ•ด์•ผ ํ•œ๋‹ค. 33322 33322. ์ดˆ๋ฐ˜์— ์—ฐ3๋ฐฐ๋Š” ๋ฌด์กฐ๊ฑด ํ•ด์•ผ ํ•œ๋‹ค. (2๋ฐฐ ๋ชป ํ•˜๊ณ  40%๋กœ ๋–จ์–ด์ง€๋ฉด ์ตœ์†Œ 20๋…„ ๊ฑธ๋ฆฌ๊ฒŒ ๋œ๋‹ค) ---------- 12. ์„ฑ๊ณผ๋ฅผ ๋‚ด์•ผ ํ•œ๋‹ค ์ „: ๋ฐฉํ–ฅ์„ฑ์— ๋งž์ถฐ์„œ ์ผ์„ ํ•˜๋ฉด ๋œ๋‹ค. ์–ผ๋ผ์ธ์ด ์ค‘์š”ํ•˜๋‹ค ํ›„: ์–ผ๋ผ์ธ์ด ๋˜๋ฉด ์•ˆ ๋œ๊ฑฐ๋ณด๋‹ค๋Š” ๋‚ซ๋‹ค. ํ•˜์ง€๋งŒ ์ถฉ๋ถ„ํ•˜์ง€ ์•Š๋‹ค. ๋ฐฉํ–ฅ์„ฑ๋งŒ ์ผ์น˜ ํ•˜๋ฉด ์•ˆ ๋œ๋‹ค. ๊ธฐ๋Œ€ ์ˆ˜์ค€์— ๋Œ€ํ•œ ์ƒ๊ฐ๋„ ๋™์ผํ•ด์•ผ ํ•œ๋‹ค. ์—…๋ฌด๋Š” ์ค‘์š”ํ•œ ์ง€ํ‘œ์™€ ๊ธฐ๋Œ€์ˆ˜์ค€์ด ๊ฐ™์ด ๊ณต์œ ๋˜๊ณ , ํ•ด๋‹น ๊ธฐ๊ฐ„ ๋™์•ˆ ์ œ๋Œ€๋กœ ๋˜๊ณ  ์žˆ๋Š”์ง€ ํ™•์ธํ•˜๋ฉด์„œ, ํ”ผ๋“œ๋ฐฑ์„ ํ•ด์„œ, ํ•ด๋‹น ๊ธฐ๋Œ€์ˆ˜์ค€์ด ๋‹ฌ์„ฑ๋˜๊ฒŒ ๋งŒ๋“œ๋Š” ๊ฒƒ์ด๋‹ค. ๊ทธ๋ž˜์•ผ ์„ฑ๊ณผ๊ฐ€ ๋‚œ๋‹ค. ๊ทธ๋Ÿด๋ ค๋ฉด ์ง€ํ‘œ ๊ฒฐ์ • / ๊ธฐ๋Œ€ ์ˆ˜์ค€ / ์ผ์ • / ํ”ผ๋“œ๋ฐฑ ๊นŒ์ง€ ์ž˜ ๊ด€๋ฆฌ ๋˜์–ด์•ผ ํ•œ๋‹ค.

https://www.linkedin.com/posts/hyukjoon-choi-44343a77_%EC%B0%BD%EC%97%85-%EC%A0%84-vs-%EC%B0%BD%EC%97%85-%ED%9B%84-%EC%9D%98-%EC%83%9D%EA%B0%81%EC%9D%98-%EB%B3%80%ED%99%94-12%EA%B0%80%EC%A7%80-2%ED%8E%B8-%EC%A4%91-1%ED%8E%B8-%ED%99%94%EC%9D%B4%ED%8A%B8%ED%81%90%EB%B8%8C-activity-7113510860555227137-g6tw [์ฐฝ์—… ์ „ vs ์ฐฝ์—… ํ›„] ์˜ ์ƒ๊ฐ์˜ ๋ณ€ํ™” 12๊ฐ€์ง€ (2ํŽธ ์ค‘ 1ํŽธ) ํ™”์ดํŠธํ๋ธŒ(์ฑŒ๋ฆฐ์ €์Šค ์„œ๋น„์Šค) ์„ค๋ฆฝ ํ›„ 5๋…„์ด ์ง€๋‚ฌ์Šต๋‹ˆ๋‹ค. ๋งŽ์ด ๋ฐฐ์› ์Šต๋‹ˆ๋‹ค. 5๋…„ ์ „์œผ๋กœ ๋Œ์•„๊ฐˆ ์ˆ˜ ์žˆ๋‹ค๋ฉด, ๊ณผ๊ฑฐ์˜ ์ €์—๊ฒŒ ํ•ด์ฃผ๊ณ  ์‹ถ์€ ๋ง๋“ค์„ ์ •๋ฆฌํ•ฉ๋‹ˆ๋‹ค. ๋‹ค๋ฅธ ๋ถ„๋“ค์—๊ฒŒ๋„ ๋„์›€์ด ๋  ์ˆ˜ ์žˆ๊ธฐ๋ฅผ [์ฐฝ์—… ์ „ vs ์ฐฝ์—… ํ›„] 1. ์˜ค๋ž˜ ๊ฑธ๋ฆฌ๋Š” ์ผ์ด๋‹ค ์ „: ์„ฑ๊ณตํ•˜๋Š”๋ฐ 10๋…„ ๊ฑธ๋ฆด ์ˆ˜ ์žˆ๋‹ค. ํ›„: ์„ฑ๊ณตํ•˜๋Š”๋ฐ 20๋…„ ๊ฑธ๋ฆด ์ˆ˜ ์žˆ๋‹ค. ๋‹จ ํšŒ์‚ฌ ์—ฐ์ฐจ๋ณด๋‹ค๋Š” ๋Œ€ํ‘œ ์—ฐ์ฐจ์ผ์ˆ˜ ์žˆ์Œ. ๋‹จ๊ธฐ๊ฐ„์— ์„ฑ๊ณตํ•œ ํšŒ์‚ฌ๋“ค์€ ์‚ฌ์‹ค ๋Œ€ํ‘œ ์—ฐ์ฐจ๋Š” ์ƒ๊ฐ๋ณด๋‹ค ๊ธด ๊ฒฝ์šฐ๊ฐ€ ๋งŽ๋‹ค. (2๋ฒˆ์งธ ์‚ฌ์—…์ด๊ฑฐ๋‚˜ 3๋ฒˆ์งธ ์‚ฌ์—…์ด๊ฑฐ๋‚˜, ์•„๋‹ˆ๋ฉด ์˜ค๋ž˜์ „๋ถ€ํ„ฐ ๋ฏธ๋ฆฌ ์ค€๋น„ํ•œ ๊ฒฝ์šฐ) ---------- 2. ๋งŽ์ด ๋„์ „ํ•ด์•ผ ํ•˜๋Š” ์ผ์ด๋‹ค ์ „: ์ฐฝ์—… 3๋ฒˆ ํ•˜๋ฉด, 3๋ฒˆ์งธ ์ฐฝ์—… ์„ฑ๊ณต์œจ์€ 50% ๋„˜์–ด๊ฐ„๋‹ค๊ณ  ํ•œ๋‹ค ํ›„: ํ† ์Šค๋„ ์—…๋ฐ์ดํŠธ 50๋ฒˆ ํ•˜๊ณ  2-3๋ฒˆ ์„ฑ๊ณตํ•œ๋‹ค๊ณ  ํ•˜๋Š”๋ฐ, ์„ฑ๊ณต์œจ์€ 5%๋กœ ์žก๋Š”๋‹ค๋ฉด, 20๋ฒˆ ์ด์ƒ ๋„์ „ํ•ด์•ผ ํ•œ๋‹ค. ๊ทธ๋Ÿฌ๊ธฐ ์œ„ํ•ด์„œ ์ž‘๊ฒŒ ๋„์ „ํ•˜๊ณ  ๋นจ๋ฆฌ ์‹คํŒจํ•˜๋ฉด์„œ, ์‹คํŒจํ•  ๋„์ „์— ์—๋„ˆ์ง€๋ฅผ ๋งŽ์ด ์“ฐ์ง€ ์•Š๋Š”๊ฒŒ ์ค‘์š”ํ•˜๋‹ค. ์‹คํŒจ๋ฅผ ์ž‘๊ฒŒ ํ•˜๋ฉด ๋„์ „ํ•  ์ˆ˜ ์žˆ๋Š” ๊ธฐํšŒ๊ฐ€ ๋งŽ์€๋ฐ, ์‹คํŒจ๋ฅผ ํฌ๊ฒŒ ํ•˜๋ฉด ๋„์ „ํ•  ์ˆ˜ ์žˆ๋Š” ํšŸ์ˆ˜๊ฐ€ ์ ์–ด์ง„๋‹ค. 20๋ฒˆ์€ ๋„์ „ํ•  ์ˆ˜ ์žˆ์–ด์•ผ ํ•˜๋Š” ์ƒํƒœ๋ฅผ ๋งŒ๋“ค๊ธฐ ์œ„ํ•ด์„œ๋Š” ํฌ๊ฒŒ ์‹คํŒจํ•˜์ง€ ๋ง์•„์•ผ ํ•œ๋‹ค. ---------- 3. ๊ณ ๊ฐ์ด ํ™•์ธ๋˜๊ณ , ์ˆ˜์š”๊ฐ€ ํ™•์ธ๋˜๊ณ , ๋งŒ๋“ค๊ธฐ ์‹œ์ž‘ํ•ด์•ผ ํ•œ๋‹ค (๋จผ์ € ๋งŒ๋“ค์ง€ ๋ง์•„์•ผ ํ•œ๋‹ค) ์ „: ๋งŒ๋“ค๊ณ  ๋‚˜์„œ ํŒ๋‹ค ํ›„: ํŒ”๊ณ  ๋‚˜์„œ ๋งŒ๋“ ๋‹ค (์ฑ…'์•„์ด๋””์–ด๋ถˆํŒจ์˜๋ฒ•์น™'์˜ ํ”„๋ฆฌํ† ํƒ€์ดํ•‘) ์ •์ฃผ์˜ ํšŒ์žฅ์€ ๋ฐฐ๋ฅผ ํŒŒ๋Š” ๊ณ„์•ฝ์„ ๋จผ์ € ํ•˜๊ณ , ๊ทธ ๊ณ„์•ฝ์œผ๋กœ ๋Œ€์ถœ์„ ๋ฐ›์•„์„œ, ๊ณต์žฅ์„ ์ง“๊ณ  ์กฐ์„ ์†Œ๋ฅผ ๊ฑด๋ฆฝํ•œ๋‹ค. ๊ณต์žฅ์ง“๊ณ  ์กฐ์„ ์†Œ ๊ฑด๋ฆฝํ•˜๊ณ , ๋ฐฐ ๋งŒ๋“ค์—ˆ๋Š”๋ฐ ์•ˆ ํŒ”๋ฆฌ๋ฉด, ๋งํ•  ์ˆ˜ ๋ฐ–์— ์—†๋‹ค. ์ด๊ฑด ๋ฆฌ์Šคํฌ๋ฅผ ๊ด€๋ฆฌํ•˜์ง€ ๋ชป ํ•œ ๋ฒ ํŒ…์ด ๋˜๋Š”๊ฑด๋ฐ, ๋ฐฐ๋ฅผ ๋ฏธ๋ฆฌ ํŒ”์•„๋†“์œผ๋ฉด ํ›จ์”ฌ ์•ˆ์ „ํ•œ ์‚ฌ์—…์ด ๋œ๋‹ค. ---------- 4. ์ง„์งœ ๊ฐ€์น˜๋ฅผ ๋งŒ๋“ค์–ด์•ผ ํ•œ๋‹ค (๊ฐ€์น˜๋ฅผ ๋งŒ๋“ค๊ณ  ์žˆ๋‹ค๊ณ  ์Šค์Šค๋กœ๋ฅผ ์†์ด์ง€ ๋ง์•„์•ผ ํ•œ๋‹ค) ์ „: ๋ฌด๋ฃŒ ์„œ๋น„์Šค+์ดํ›„ BM๊ฐœ๋ฐœ (free-mium ๋ชจ๋ธ) ํ›„: ์œ ๋ฃŒ ์„œ๋น„์Šค. ๊ฐ€์น˜๋ฅผ ๋งŒ๋“ค๊ณ  ์žˆ๋‹ค๋ฉด ๋ˆ์„ ๋ฐ›์•„๋„ ๋œ๋‹ค. ๊ฐ€์น˜๋ฅผ ๋งŒ๋“ค๊ณ  ์žˆ๋Š”๋ฐ ๋ฌด๋ฃŒ ์„œ๋น„์Šค๋ฉด, ๊ณ ๊ฐ์ž…์žฅ์—์„œ ๊ฐœ์ด๋“์ด๋‹ˆ๊นŒ ๋ฐ”์ด๋Ÿด ๋˜๊ณ  ๋น ๋ฅด๊ฒŒ ์„ฑ์žฅํ•ด์•ผ ํ•œ๋‹ค. ๋ฌด๋ฃŒ ์„œ๋น„์Šค์ธ๋ฐ ๋น ๋ฅด๊ฒŒ ์„ฑ์žฅํ•˜์ง€ ๋ชป ํ•˜๋ฉด, ๋ฏธ๋ž˜๋ฅผ ์œ„ํ•ด์„œ ๋ˆ ๋ฒ„๋Š”๊ฑธ ํฌ๊ธฐํ•œ๊ฒŒ ์•„๋‹ˆ๋ผ, ๋ฒŒ ๊ถŒ๋ฆฌ๊ฐ€ ์—†๋Š” ๊ฒƒ์ด๋‹ค. "๊ฐ€๊ฒฉ์ด ๋†’์œผ๋‹ˆ ๋‚ฎ์ถ”์ž" ๋ณด๋‹ค๋Š” "์šฐ๋ฆฌ๊ฐ€ ๊ฐ€๊ฒฉ์„ ๋น„์‹ธ๊ฒŒ ์ฑ…์ •ํ•ด๋„ ๊ณ ๊ฐ์ด ์‚ด๋งŒํ•œ ๊ฐ€์น˜๋ฅผ ์ œ๊ณตํ•˜์ž" ๋ผ๊ณ  ์ƒ๊ฐํ•˜๋Š”๊ฒŒ, ์šฐ๋ฆฌ๊ฐ€ ๋งŒ๋“ค์–ด๋‚ผ ๊ฐ€์น˜์— ๋Œ€ํ•ด ๋” ๊ณ ๋ฏผํ•ด๋ณด๊ฒŒ ๋œ๋‹ค ๋ฐฐ๋ฏผ/์ฟ ํŒก/ํ† ์Šค๋Š” ๊ฐ€๊ฒฉ์ด ๋‹ค๋ฅธ ๊ณณ๋ณด๋‹ค ์‹ธ์„œ ์‚ฌ๋žŒ๋“ค์ด ์ผ๋˜๊ฒŒ ์•„๋‹ˆ๋‹ค. ---------- 5. ๊ณ ๊ฐ์ด ์ž”์กดํ•ด์•ผ, ์œ ํšจ ๊ณ ๊ฐ ์ˆซ์ž๊ฐ€ ์„ฑ์žฅํ•˜๊ธฐ ์‰ฝ๋‹ค. ์ „: ๊ฐ€์žฅ ์ค‘์š”ํ•œ ์ง€ํ‘œ๋Š” ๋งค์ถœ ํ›„: ๊ฐ€์žฅ ์ค‘์š”ํ•œ ์ง€ํ‘œ๋Š” "๊ตฌ๋งค" ๋ฆฌํ…์…˜ ๊ตฌ๋งค ๊ณ ๊ฐ ๊ธฐ์ค€์œผ๋กœ plateau (ํ”Œ๋žซํ† ) ๊ฐ€ 10%๋ฉด ์ƒ์กด๊ฐ€๋Šฅ / 20%๋ฉด ์„ฑ๊ณต / 30%์ด์ƒ์ด๋ฉด ๋Œ€๋ฐ• ์ •๋„ ๋  ์ˆ˜ ์žˆ๋‹ค. (5000๋งŒ๋ช…์—๊ฒŒ ๋ชจ๋‘ ๋งˆ์ผ€ํŒ…์„ ํ–ˆ์„ ๋•Œ 10%๋ฉด 500๋งŒ๋ช… / 20%๋ฉด 1000๋งŒ๋ช… / 30%๋ฉด 1500๋งŒ๋ช…์ด๋ผ๋Š” ์–˜๊ธฐ) ์ฝ”์›จ์ด๋Š” 23๋…„1์›”, 22๋…„12์›” ๊ณ ๊ฐ์„ ๋‹ค ์œ ์ง€ํ•œ์ฑ„ ๋น„์ฆˆ๋‹ˆ์Šค๊ฐ€ ์‹œ์ž‘๋˜๋Š”๋ฐ, ๊ฑด์„ค์‚ฌ๋Š” 23๋…„1์›”, 22๋…„ ๊ณ ๊ฐ์„ ๋ฆฌ์…‹ํ•˜๊ณ  ๋น„์ฆˆ๋‹ˆ์Šค๊ฐ€ ์‹œ์ž‘๋œ๋‹ค. (ํšŒ๊ณ„ ์ƒ์œผ๋กœ๋Š” ๊ณ„์•ฝ์„ ์žก์•„๋†“๊ณ  ๋งค๋…„ ๋งค์ถœํ™”ํ•˜๊ธฐ ๋•Œ๋ฌธ์— ๋ถ„ํ• ํ•ด์„œ ๋ฐ˜์˜๋˜์ง€๋งŒ, ๋ฆฌํ…์…˜์ด ๋ฐœ์ƒํ•˜๋Š” ๊ณ ๊ฐ์  ๊ด€์ ์—์„œ์˜ ๋งฅ๋ฝ์—์„œ ์ ์Œ) ์—ฐ X ๋ฐฐ์˜ ์„ฑ์žฅ์„ ํ•˜๊ธฐ๋Š” (๊ณ ๊ฐ์ด ์Œ“์ด๋Š”) ์ฝ”์›จ์ด๊ฐ€ ํ›จ์”ฌ ์‰ฝ๋‹ค (์˜ˆ์ธก๊ฐ€๋Šฅ์„ฑ์„ ๋†’์ธ ๊ฒฝ์˜์„ ํ•˜๊ธฐ๋„ ์‰ฝ๋‹ค) ---------- 6. ํ”Œ๋žซํผ vs ์„œ๋น„์Šค(๋ธŒ๋žœ๋“œ) (์ค‘๊ฐœ๋งŒ ํ•˜๋Š”๊ฐ€ vs ์ง์ ‘ ์ œ๊ณตํ•˜๋А๋ƒ) ์ „: ํ”Œ๋žซํผ์€ ์‰ฝ๊ฒŒ ์‹œ์ž‘ํ•  ์ˆ˜ ์žˆ๋‹ค. ์ดˆ๋ฐ˜ ๋น„์šฉ์ด ๋ณ„๋กœ ์•ˆ ๋“ค ์ˆ˜ ์žˆ๋‹ค. (์ตœ์†Œํ•œ ๊ณต์žฅ์€ ํ•„์š”์—†๋‹ค) ํ›„: ํ”Œ๋žซํผ์€ ์‹œ์žฅ์ด ํด ๋•Œ๋งŒ ํ•ด์•ผ ํ•œ๋‹ค. ๋งค์ถœ์— ์ œํ•œ์ด ์žˆ์„ ์ˆ˜ ์žˆ๋‹ค. ์ดˆ๋ฐ˜ ๋น„์šฉ๋„ ๊ฝค ๋“ค์ˆ˜๋„ ์žˆ๋‹ค. (์ˆ˜์ต์„ฑ์„ ๊ฐ–์ถ”๋Š” ๊ตฌ์กฐ๊ฐ€ ๋งŒ๋“ค์–ด์งˆ๋•Œ๊นŒ์ง€ ์ธ๊ฑด๋น„/๋งˆ์ผ€ํŒ…๋น„ ์ƒ๊ฐ๋ณด๋‹ค ๋งŽ์ด ๋“ ๋‹ค) ์‹œ์žฅ์ด 5์กฐ์ผ๋•Œ, ํ”Œ๋žซํผ ์ˆ˜์ˆ˜๋ฃŒ๊ฐ€ 10%๋ฉด ๋งค์ถœ 5000์–ต ์ ์œ ์œจ 20%๋ฉด ๋งค์ถœ 1000์–ต 5์กฐ ์ดํ•˜๋ฉด, ๋งค์ถœ 1000์–ต ์•ˆ ๋‚˜์˜ค๊ณ , ๊ทธ๋Ÿผ ์œ ๋‹ˆ์ฝ˜์€ ๋˜๊ธฐ ์–ด๋ ต๋‹ค. (์ˆ˜์ˆ˜๋ฃŒ๋ฅผ 10%๋ณด๋‹ค ๋†’์ด๊ฑฐ๋‚˜, ์ ์œ ์œจ์„ 20%๋ณด๋‹ค ๋†’์ด๋ฉด ๋จ) ๋งค์ถœ 1000์–ต ์งœ๋ฆฌ ๋ธŒ๋žœ๋“œ๋Š” 45๊ฐœ ๋‚˜์˜ฌ ์ˆ˜ ์žˆ๊ณ , ๋งค์ถœ 1000์–ต ์งœ๋ฆฌ ํ”Œ๋žซํผ์€ 5๊ฐœ ๋‚˜์˜ฌ ์ˆ˜ ์žˆ๋‹ค. (ํ˜„์žฌ๊นŒ์ง€ ๊ฒฐ๊ณผ๋กœ ๋ดค์„๋•Œ) 1000์–ต ๋งŒ๋“ค๊ธฐ์— ๋ธŒ๋žœ๋“œ๊ฐ€ ์‰ฝ๋‹ค. ๋ธŒ๋žœ๋“œ๋Š” ๋งค์ถœ 1์กฐ์งœ๋ฆฌ ๋‚˜์˜ฌ ์ˆ˜ ์žˆ๊ณ , ํ”Œ๋žซํผ์€ ๊ฒฐ๊ตญ PBํ•ด์•ผ 1์กฐ ๋‚˜์˜ฌ ์ˆ˜ ์žˆ๋‹ค ์‹œ์žฅ์ด 50์กฐ ์ผ๋•Œ ํ”Œ๋žซํผ ์ˆ˜์ˆ˜๋ฃŒ๊ฐ€ 10%๋ฉด ๋งค์ถœ 5์กฐ ์ ์œ ์œจ 20%๋ฉด ๋งค์ถœ 1์กฐ ๋งค์ถœ 1์กฐ ์งœ๋ฆฌ ๋ธŒ๋žœ๋“œ๋Š” 45๊ฐœ ๋‚˜์˜ฌ ์ˆ˜ ์žˆ๊ณ , ๋งค์ถœ 1์กฐ ์งœ๋ฆฌ ํ”Œ๋žซํผ์€ 5๊ฐœ ๋‚˜์˜ฌ ์ˆ˜ ์žˆ๋‹ค. (ํ˜„์žฌ๊นŒ์ง€ ๊ฒฐ๊ณผ๋กœ ๋ดค์„๋•Œ) 1์กฐ ๋งŒ๋“ค๊ธฐ์— ํ”Œ๋žซํผ์ด ์‰ฝ๋‹ค. ๋ธŒ๋žœ๋“œ๋Š” ๋‹ˆ์ฆˆ๊ฐ€ ํŒŒํŽธํ™”๋˜๊ธฐ ๋•Œ๋ฌธ์ด๋‹ค. ---------- 7. ๋ฌด์กฐ๊ฑด ๊ด€๋ฆฌํšŒ๊ณ„๋ฅผ ์šด์˜ํ•ด์•ผ ํ•œ๋‹ค (์ฒจ๋ถ€ ์ด๋ฏธ์ง€ ์ฐธ๊ณ ) ์ „: '๋งˆ์ผ€ํŒ… ๋น„์šฉ ์ œ์™ธํ•˜๋ฉด ํ‘์ž์˜ˆ์š”' ๋ผ๋Š” ๋ง์„ ์ด์ƒํ•œ ๋ง์ด๋ผ๊ณ  ์ƒ๊ฐํ–ˆ๋‹ค. ํ›„: ์žฌ๋ฌด์ œํ‘œ๋Š” ์ •๋ถ€์™€ ํˆฌ์ž์ž๋ฅผ ์œ„ํ•ด์„œ ๋‹น์—ฐํžˆ ๊ธฐ์ค€์— ๋งž์ถฐ์„œ ๋งŒ๋“ค๋˜, ํšŒ์‚ฌ ๋‚ด๋ถ€ ์ƒํ™ฉ์„ ๋” ์ž˜ ๋ฐ˜์˜ํ•  ๊ด€๋ฆฌ ํšŒ๊ณ„๋ฅผ ์šด์˜ํ•ด์•ผ ํ•œ๋‹ค "๋ฆฌํ…์…˜์ด ๋ฐœ์ƒํ•œ๋‹ค๋ฉด" ITํ”Œ๋žซํผ์€ ๋งˆ์ผ€ํŒ… ๋น„์šฉ์„ ์ž์‚ฐ์œผ๋กœ ์žก๊ณ  ๊ฐ๊ฐ€์ƒ๊ฐํ•˜๋Š” ๋ฐฉ์‹์œผ๋กœ ๊ณ„์‚ฐํ•˜๋Š”๊ฒŒ ๋‚˜์„ ์ˆ˜ ์žˆ๋‹ค (์›Œ๋ Œ ๋ฒ„ํ•์ด book value ๊ฐ€ ์ค‘์š”ํ•œ๊ฒŒ ์•„๋‹ˆ๋ผ๊ณ  ์ƒ๊ฐํ•˜๋Š”๊ฒŒ ๊ฐ™์€ ๊ฐœ๋…์ด๋ผ๊ณ  ์ƒ๊ฐ. ์• ํ”Œ/๋””์ฆˆ๋‹ˆ์˜ ์žฌ๋ฌด์ œํ‘œ์— ๋ธŒ๋žœ๋“œ๊ฐ€์น˜๊ฐ€ ์—†๊ธฐ ๋•Œ๋ฌธ) ๊ณ ๊ฐ์„ ๊ด‘๊ณ ๋น„ 4๋งŒ์›์„ ํˆฌ์žํ•ด์„œ ๋ชจ์…”์™”๋Š”๋ฐ, 4๋…„๊ฐ„ ์—ฐ 1๋งŒ์›์”ฉ ๋งค์ถœ์„ ๋ฐœ์ƒ์‹œ์ผœ์ฃผ์‹œ๋Š” ๊ฒฝ์šฐ์„ ์ด๋ฏธ์ง€์—์„œ ๋ณด๋ฉด, ๊ธฐ์—…์ด ์ข‹์•„์ง€๊ณ  ์žˆ์„๋•Œ, ์•ˆ ์ข‹์•„๋ณด์ผ ์ˆ˜ ์žˆ๊ธฐ ๋•Œ๋ฌธ์—, ๊ธฐ์—… ๋‚ด๋ถ€ ์˜์‚ฌ๊ฒฐ์ •์„ ์ •ํ™•ํžˆ ํ•˜๊ธฐ ์œ„ํ•ด์„œ๋Š” ์žฌ๋ฌด์ œํ‘œ ๊ธฐ๋ฐ˜์ด ์•„๋‹ˆ๋ผ ๊ด€๋ฆฌ ํšŒ๊ณ„ ๊ธฐ๋ฐ˜์œผ๋กœ ํŒ๋‹จํ•  ์ˆ˜ ์žˆ์–ด์•ผ ํ•œ๋‹ค. 8. ํˆฌ์ž๋ฅผ ๋ฐ›์•„์„œ, OPEX๋ง๊ณ  CAPEX๋กœ ์จ์•ผ ํ•œ๋‹ค. ์ „: ํ”Œ๋žซํผ์€ ์ดˆ๋ฐ˜์— ๋ˆ์„ ๋ชป ๋ฒˆ๋‹ค. ํˆฌ์ž๋ฅผ ๋ฐ›์„ ์ˆ˜ ๋ฐ–์— ์—†๋‹ค. ํ›„: ํ”Œ๋žซํผ์€ ์ดˆ๋ฐ˜์— ๋ˆ์„ ๋ชป ๋ฒˆ๋‹ค. ๋ˆ์„ ์ง„์งœ ์•„๊ปด์จ์•ผ ํ•œ๋‹ค. ํˆฌ์ž๋ฅผ ๋ฐ›์„ ์ˆ˜ ๋ฐ–์— ์—†๋Š”๋ฐ, ๋ฐ›์€ ํˆฌ์ž๊ธˆ์€ CAPEX์— ์จ์•ผ ํ•œ๋‹ค. ์ตœ๊ทผ ๊ณตํ—Œ์ด์ต ๋“ฑ์— ๋Œ€ํ•ด์„œ ์–˜๊ธฐํ•˜๋Š”๋ฐ ์‚ฌ์‹ค ๊ณตํ—Œ์ด์ต ์ด๋ผ๋Š” ๊ฐœ๋… ๋งŒ๋“ค๊ธฐ ๋ณด๋‹ค ๋งค์ถœ์ด์ด์ต์œผ๋กœ ๋ณด๋ฉด ๋œ๋‹ค. ๋‹ค๋งŒ ์Šคํƒ€ํŠธ์—…์€ ์–ด๋–ค ๋น„์šฉ์„ ๋งค์ถœ์›๊ฐ€๋กœ ๋ณผ ์ง€ ์ •ํ•ด์•ผ ํ•œ๋‹ค (๊ด€๋ฆฌํšŒ๊ณ„ ๊ธฐ์ค€์—์„œ) ๊ณตํ—Œ์ด์ต ๋”ฐ์งˆ ๋•Œ, ๊ณ ์ •๋น„/๋ณ€๋™๋น„๋กœ ๊ตฌ๋ถ„์„ ํšŒ๊ณ„ ๊ณ„์ •์œผ๋กœ ํ•˜๋Š”๋ฐ, ์‚ฌ์‹ค ๊ทธ๋Ÿด ์ˆ˜ ์—†๋‹ค. ์ธ๊ฑด๋น„๋„ ์‚ฌ์‹ค ๋ณ€๋™๋น„์ผ ์ˆ˜ ์žˆ๊ณ , ๋งˆ์ผ€ํŒ…๋น„๋„ ์‚ฌ์‹ค ๊ณ ์ •๋น„์ผ ์ˆ˜๋„ ์žˆ๋‹ค. ๊ณ ์ •๋น„์ด๋ƒ ๋ณ€๋™๋น„์ด๋ƒ์˜ ๊ด€์ ๋ณด๋‹ค OPEX ์ด๋ƒ CAPEX ์ด๋ƒ๊ฐ€ ๋” ์ค‘์š”ํ•˜๋‹ค. ํšŒ์‚ฌ ๋‚ด๋ถ€์—์„œ๋งŒ ์•Œ ์ˆ˜ ์žˆ๋Š” ๊ฒƒ ๊ฐ™๋‹ค. ์˜ˆ๋ฅผ ๋“ค๋ฉด ๊ฐ™์€ ๋งˆ์ผ€ํŒ… ๋น„์šฉ์ด์—ฌ๋„ ๋ฆฌํ…์…˜์ด ๋ฐœ์ƒํ•˜๋Š” ์ƒํ™ฉ์ด๋ผ๋ฉด CAPEX์ด๊ณ , ๋ฆฌํ…์…˜ ๋ฐœ์ƒ์ด ์•ˆ ํ•˜๋ฉด OPEX์ด๋‹ค. ์ธ๊ฑด๋น„๋„ ๊ฒฝ์šฐ์— ๋”ฐ๋ผ์„œ CAPEX์ผ์ˆ˜๋„ OPEX์ผ์ˆ˜๋„ ์žˆ๋‹ค. ---------- 9. ์ดˆ๊ธฐ์— ๋ฌธํ™” ๋งŽ์ด ์…‹ํŒ…ํ•˜๋ฉด ์•ˆ ๋œ๋‹ค ์ „: ๋ฌธํ™”๊ฐ€ ์ค‘์š”ํ•˜๋‹ค. ๋ฌธํ™”๋ฅผ ๋งŒ๋“ค์ž ํ›„: ํšŒ์‚ฌ๋Š” ์„ฑ์žฅ์„ ํ•ด์•ผ ํ•˜๊ณ , ์„ฑ์žฅ์€ ๊ทธ ์—…์˜ ํŠน์„ฑ์— ๋งž์ถฐ์„œ ํ•ด์•ผ ํ•œ๋‹ค. ๋ฌธํ™”๋Š” ๊ทธ ์—…์˜ ํŠน์„ฑ์— ์ž˜ ๋งž๊ฒŒ ์„ค์ •๋˜์–ด์•ผ ํ•œ๋‹ค. ๋Œ€ํ‘œ๊ฐ€ ์ง„์งœ ๋ฏฟ๋Š” ์ฒ ํ•™์ด ์žˆ์œผ๋ฉด ๊ทธ ์ฒ ํ•™์€ ๋ฐ˜์˜ํ•  ์ˆ˜ ์žˆ๋‹ค. ํ•˜์ง€๋งŒ ๊ทธ๋Ÿฐ ๊ฒƒ๋“ค์ด ์•„๋‹Œ ๊ฑด ์ฒ˜์Œ๋ถ€ํ„ฐ ์ •ํ•˜๊ธฐ ๋ณด๋‹ค๋Š” ์‚ฌ์—…์„ ํ•ด๋‚˜๊ฐ€๋ฉด์„œ ํšŒ์‚ฌ๊ฐ€ ์„ฑ์žฅ์„ ํ•˜๊ธฐ ์œ„ํ•ด ํ•„์š”ํ•œ ์š”์†Œ๋กœ์„œ ํ•˜๋‚˜ํ•˜๋‚˜ ์ถ”๊ฐ€ํ•ด๋‚˜๊ฐ€์•ผ ํ•œ๋‹ค. ---------- 10. ์†”์งํ•ด์•ผ ํ•œ๋‹ค ์ „: ํฐ ์˜๋ฏธ์˜ ๋น„์ „์„ ๊ฐ€์ง€๊ณ  ์‚ฌ์—…์„ ํ•œ๋‹ค ํ›„: ๋น„์ „์€ ํฌ๊ฒŒ ๋‘๊ณ , ๋ฐฉํ–ฅ์„ฑ์€ ๊ตฌ์ฒดํ™”ํ•˜์ž. ๋น„์ „์€ ๋ณ€ํ•˜์ง€ ์•Š๊ฒŒ ๋‘๊ณ  ๋ฐฉํ–ฅ์„ฑ์€ ๊ณ„์† ์กฐ์ •ํ•  ์ˆ˜ ์žˆ์–ด์•ผ ํ•œ๋‹ค ๋น„์ „์€ ์‚ฌ์‹ค ๊ฝค๋‚˜ ์ •ํ•˜๊ธฐ ๋ถ€๋‹ด์Šค๋Ÿฝ๋‹ค. ์ •ํ•˜๋ฉด ํ•ด๋‹น ๋น„์ „์— ๋”ฐ๋ผ์„œ ์ ‘๊ทผํ•ด์•ผ ํ•œ๋‹ค. ์•„๋‹ˆ๋ฉด ์‚ฌ๋žŒ๋“ค์ด ํ—ท๊ฐˆ๋ คํ•˜๊ฒŒ ๋œ๋‹ค.

Is PhotoRoom the most capital-efficient Y Combinator company ever? ๐Ÿ’ต $50M in ARR in 3 years ๐Ÿ”ฅ $20M in ARR on just $2M invested. ๐ŸŒŽ 100M consumer downloads That is an insane $961,538 per employee. Top 6 lessons from our 20VC episode w/ Matthieu Rouif: 1. How To Do Product Testing: We used to go to McDonalds & pay for peopleโ€™s food in return for their testing the product. 10 questions, let them try onboarding & give us feedback. They banned me for doing it so much! It was the best learning experience Thanks to Alexis Bonillo and Antoine Martin. 2. Two Biggest Misconceptions of AI: It's only the beginning, there is so much for people to build on top of what we have. People don't like to write prompts. It is a command line interface and it does not make sense to have to input a load of text. That will change. 3. Will Models Be Commoditised: The core foundational models will. If you want to build a moat, you have to have your own, proprietary data to train on top of the foundational model. That is where value accrues; training proprietary data on top of open-source models. 4. Data or Model Size: What Matters More? Data: Quality, not size. Model: Tradeoff. Bigger is higher quality, but it's also slower. If you have a specific use case you can have a small model and it is fast. Itโ€™s a product trade-off when you talk to your customer. 5. Canva vs Adobe vs PhotoRoom: Adobe and Canva are doing $BN in revenue. We can do the same. We are making studio-quality photography available to everyone. Canva is making for design on your desktop and Adobe is for the experts. We are serving a 10x larger audience. 6. How Gary Vaynerchuk Gave us Product-Market-Fit: Gary Vee and a few eBay influencers talked about us and we went viral. One month later was COVID. People needed to sell online, no photographers were available & there was PhotoRoom. Gary Vee & COVID gave us real product-market-fit. https://www.youtube.com/watch?v=tFxE6DP3DPw&t=1s

1. Delight a small number of people (High retention) 2. Move fast & cheap : No GPU before product market fit 3. Focus on low hanging fruits and easy. Keep it simple. 4. Donโ€™t overthink early defensibility - Most AI, SaaS, market place companies does not have moat. Focus on workflow. - Moat: Network effect(social), Scale effects(payment), platform(Salesforce), Deal moat(McKesson), IP(biotech), Distribution & brand(Coca cola) 5. Go for it. Donโ€™t overthink it. - Visa, Financial issueโ€ฆ it is time to go for it. - Will make 10x the progress focused on co versus side project - Unique moment in time and rare true tech shift Elad๋Š” ์ฐฝ์—…์ž๋กœ์„œ ๋น ์ง€๊ธฐ ์‰ฌ์šด ํ•จ์ •๋“ค์— ๋Œ€ํ•ด์„œ ์ž˜ ์ด์•ผ๊ธฐ ํ•ด์ค€๋‹ค. ์ฐฝ์—…/ํˆฌ์ž๋ฅผ ๋‘˜ ๋‹ค ์ฐํ•˜๊ฒŒ ํ•ด๋ด์„œ ์ฐฝ์—…์ž์˜ ๊ฐ„์ ˆํ•จ๋„ ์ž˜ ์ดํ•ดํ•˜๋ฉด์„œ๋„ ๊ทธ๋Ÿฐ ์นœ๊ตฌ๋“ค์ด ์Šน๋ฆฌํ•˜๋ ค๋ฉด ์–ด๋–ป๊ฒŒ ํ•ด์•ผํ• ์ง€ ์ง„์ง€ํ•˜๊ฒŒ ๊ณ ๋ฏผํ•ด์ฃผ๋Š” ํ”Œ๋ ˆ์ด ์ฝ”์น˜๋ผ๊ณ  ํ• ๊นŒ? ๊ฐœ์ธ์ ์œผ๋กœ ๋ง˜์— ๋“ค์—ˆ๋˜ ์กฐ์–ธ์€ ํ•ด์ž๋ฅผ ๋„ˆ๋ฌด ๊ณ ๋ฏผํ•˜์ง€ ๋ง๋ผ๋Š” ๊ฒƒ๊ณผ Low Hanging fruit ๋นจ๋ฆฌ ์˜๋ฆฌํ•˜๊ฒŒ ๋”ฐ๋จน์œผ๋ผ๋Š” ๊ฒƒ. ๊ทธ๋ฆฌ๊ณ  ๋„ˆ๋ฌด ๋งŽ์ด ์ƒ๊ฐํ•˜์ง€ ๋ง๋ผ๋Š” ๊ฑด ๋‚˜ ํฌํ•จ ์ฃผ๋ณ€์˜ ์ฐฝ์—…์ž๋“ค์„ ๋ณด๋”๋ผ๋„ ์•„์ฃผ ํ•„์š”ํ•œ ์กฐ์–ธ๋“ค์ด๋‹ค. ์ฐฝ์—…์ž๋กœ์„œ ๊ทธ๋ฆฌ๊ณ  ํˆฌ์ž์ž๋กœ์„œ๋„ ๊นŠ๊ฒŒ ๊ณ ๋ฏผํ•ด๋ณธ ์—˜๋ผ๋“œ ํ˜•๋‹˜ ๋ฆฌ์ŠคํŽ™ํ•˜๋ฉด์„œ๋„ ๊ณง ๋งŒ๋‚˜๊ธธ ๐Ÿ™‚