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<div style="display: none; max-height: 0px; overflow: hidden;">OpenAI acquired Software Applications Incorporated, the creator of Sky, a natural language interface for macOS. The entire team will join OpenAI </div>
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.lovart.ai%2F%3FsourceId=900180/1/0100019a162eaa3a-df51015a-ce07-49a0-8a80-9840662a1435-000000/bcu8s_XBUVCVVL7cW5PSyh8xM4_yzb1Km4cw0D9dS5U=428"><img src="https://images.tldr.tech/lovart.png" valign="middle" style="vertical-align: middle !important; height: 100%;" alt="Lovart"></a></td></tr></tbody></table>
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<h1><strong> TLDR Founders <span id="date">2025-10-24</span></strong></h1>
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<strong>Still briefing designers? Lovart already shipped it. (Sponsor)</strong>
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Lovart is the <a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.lovart.ai%2F%3FsourceId=900180/3/0100019a162eaa3a-df51015a-ce07-49a0-8a80-9840662a1435-000000/sXO-zjf68rlHiBwRL64JC4hhxrOx1QvnNvJq3Sx-_Gs=428" rel="noopener noreferrer nofollow" target="_blank"><span>AI design agent built for founders</span></a>. It learns your style, tone, and past projects so every output looks on-brand from Day 1. Now with <strong>Fast Mode</strong>, generating results up to 80% faster - <em>because founders can't wait</em>.
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<p>By orchestrating models like Sora 2, Veo 3.1, Nano Banana and GPT-Image, it goes beyond single-model limits - creating visuals, videos, and ads in one seamless workspace.</p>
<p><a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.lovart.ai%2F%3FsourceId=900180/4/0100019a162eaa3a-df51015a-ce07-49a0-8a80-9840662a1435-000000/PG20yLbjRs5z2_3IUtzF0vpTUnc-a5PfgHNwueOdybs=428" rel="noopener noreferrer nofollow" target="_blank"><span>Founders are using Lovart to</span></a>:</p>
<p>🧑💻 Turn simple prompts into brand-ready visuals</p>
<p>⚡️ Skip expensive design outsourcing</p>
<p>🫡 Collaborate with an AI teammate that understands context and tone</p>
<p><a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.lovart.ai%2F%3FsourceId=900180/5/0100019a162eaa3a-df51015a-ce07-49a0-8a80-9840662a1435-000000/FgZdvfc32c2s2TAoS5nQmT6pwMGjlC1905g2TJM2SmQ=428" rel="noopener noreferrer nofollow" target="_blank"><span>Try Lovart before your co-founder does</span></a> 👀
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<strong>OpenAI acquires Software Applications Incorporated, maker of Sky (2 minute read)</strong>
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OpenAI acquired Software Applications Incorporated, the creator of Sky, a natural language interface for macOS. This acquisition aims to integrate Sky's capabilities into ChatGPT, enhancing AI functionality across user applications. The entire Software Applications team will join OpenAI to advance this integration.
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<strong>David Tisch's BoxGroup raises $550 million across two new funds as venture firm crosses 16 years (3 minute read)</strong>
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BoxGroup, led by David Tisch, raised $550 million across two new funds, focusing on early-stage and follow-on investments. The firm adopts a collaborative approach, participating in numerous early-stage rounds alongside other VCs, building an impressive portfolio including Ramp and Stripe. Tisch emphasizes flexibility in sector and geography, aiming to maintain relevance despite growing competition for LP funding.
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<strong>Why AI Cannot Simulate Your Customers (4 minute read)</strong>
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A new study claims AI can mimic customer purchase intent with 90 percent accuracy. Impressive on paper, but founders should be cautious. Models can mirror how people talk about buying, not how they actually buy. Real decisions happen inside context: risk, politics, switching costs, and emotion. AI can help generate hypotheses, but strategy still starts in messy, human conversations. You don't find differentiators in data, you find them in people.
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<h1><strong>Strategies & Tactics</strong></h1>
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<strong>Product-Market Fit is No Longer Static (2 minute read)</strong>
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AI's rapid advancements have made product-market fit (PMF) a continually shifting target. Companies must frequently re-establish PMF as evolving capabilities demand real-time adjustments and feedback. This dynamic environment fuels the need for more engineers directly engaging with customers.
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<strong>How Fluently Hit $5M ARR with $0 Ad Spend (3 minute read)</strong>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Fluently scaled from $48K to $5M ARR in a year by treating short-form video like a data experiment, not a creative gamble. In 200 days, it pulled over a billion views across TikTok, Instagram, YouTube Shorts, and Facebook Reels without buying ads. It posted 2–3 videos daily through dozens of small creators, studied which hooks worked, then remade top performers fast with new faces. Every video was tracked with UTM links from view to revenue, cutting what didn't convert. Consistency, fast iteration, and measurement replaced big budgets and built one of the fastest UGC growth engines in SaaS.
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fread.technically.dev%2Fp%2Fall-about-ai-evals%3Futm_source=tldrfounders/1/0100019a162eaa3a-df51015a-ce07-49a0-8a80-9840662a1435-000000/4jQ4K2KaEyFESxvHPfedM995DVUlK2feByVM0ZyhSZo=428">
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<strong>How to Build AI Products That Are Actually Good (5 minute read)</strong>
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Making AI work in production takes more than clever prompts. When thousands of users interact with a model, every mistake – wrong tone, bad data, off response – multiplies fast. That's why companies now rely on “evals,” systems that test and score models the same way engineers test code. Tools like Braintrust let teams log real user inputs, compare outputs against expected answers, and continuously tune models based on results. It's how Notion, Ramp, and Stripe keep AI features reliable as they scale.
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<strong>Nimo (Tool)</strong>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Unify all AI workflows into one infinite canvas.
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<strong>Hello World Media (Tool)</strong>
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</a>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
End to end production studio for cinematic launch videos.
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<strong>NativeMind (Tool)</strong>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
NativeMind is a fully private, open-source AI assistant that runs the latest models locally in your browser.
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<div style="text-align: center;"><span style="font-size: 36px;">🎁</span></div></div>
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<div style="text-align: center;"><strong><h1>Miscellaneous</h1></strong></div>
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Early-stage founders don't need Google-style compensation systems. What you need is something simple enough to explain in five minutes and fair enough that no one questions it. Start by defining your philosophy: how much cash versus equity, how transparent you'll be, and what principles guide every decision. This foundation matters because you'll use it to justify every offer you make. From there, the math is straightforward. Pay people fairly but not lavishly, since the real upside is equity. Keep your first ten hires under 10% of the total pool so you have room to grow, then calibrate by role: sales earns on revenue, customer success on retention, product on outcomes. When someone proves their impact, reward them immediately.
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<strong>Eve Raises $103 Million at $1 Billion Valuation to Help Plaintiff Firms Deliver Justice Through AI Transformation (4 minute read)</strong>
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Eve raised $103 million in Series B funding, led by Spark Capital, reaching a $1 billion valuation. The AI platform now serves over 450 law firms, processing 200,000 legal cases annually and assisting in recovering over $3.5 billion in settlements. Eve's rapidly growing legal AI platform aims to reimagine plaintiff firms' operations by enhancing efficiency and scaling case capacity.
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<h1><strong>Quick Links</strong></h1>
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Founders obsess over faster, smarter, newer, but somewhere along the way, we stopped building things people actually love to use.
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For years, SaaS founders knew the playbook: reach $20–50M ARR, keep growing, and buyers would line up.
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We mirror those around us more than we think.
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