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<div style="display: none; max-height: 0px; overflow: hidden;">Replit has raised $250 million, achieving a $3 billion valuation with $150 million in annualized revenue. Prysm Capital led the round </div>
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fmetronome.com%2Fwebinars%2Fmonetization-operating-model-webinar-series%3Futm_campaign=monetization-wp%26utm_medium=newsletter%26utm_source=tldr-founder%26utm_content=primary%3Futm_campaign=monetization-wp%26utm_medium=newsletter%26utm_source=tldr-founder%26utm_content=primary/1/010001993dd196ef-b976a76e-85f5-4607-aedf-ae7bebcd012e-000000/1wCSnyt49pPBxf7AHjhJQeuPWdsP-ZZNT_lWBY9f1io=422"><img src="https://images.tldr.tech/metronome2.png" valign="middle" style="vertical-align: middle !important; height: 100%;" alt="Metronome"></a></td></tr></tbody></table>
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<h1><strong> TLDR Founders <span id="date">2025-09-12</span></strong></h1>
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<strong>New webinar series: How Snowflake and a16z approach AI-era monetization (Sponsor)</strong>
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Metronome is launching a <strong>webinar series</strong> on Monetization Operating Models featuring practitioners from companies that are winning on pricing.<p></p><p><strong>October 2nd:</strong> Ryan Campbell, Snowflake's Director of Product Finance, reveals <a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fmetronome.com%2Fwebinars%2Fmonetization-operating-model-webinar-series%3Futm_campaign=monetization-wp%26utm_medium=newsletter%26utm_source=tldr-founder%26utm_content=primary%3Futm_campaign=monetization-wp%26utm_medium=newsletter%26utm_source=tldr-founder%26utm_content=primary/3/010001993dd196ef-b976a76e-85f5-4607-aedf-ae7bebcd012e-000000/EOWLgczMzW2gnn3wDURn5tJPW8tQj0ANFLI5Z4n2X6g=422" rel="noopener noreferrer nofollow" target="_blank"><span>how Snowflake built their Monetization Operating Model</span></a> to connect product strategy with execution across finance, product, GTM, and engineering.</p>
<p><strong>November 4th</strong>: Martin Casado from Andreessen Horowitz shares what he's seeing across the market as companies experiment with <a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fmetronome.com%2Fwebinars%2Fmonetization-operating-model-webinar-series%3Futm_campaign=monetization-wp%26utm_medium=newsletter%26utm_source=tldr-founder%26utm_content=primary%3Futm_campaign=monetization-wp%26utm_medium=newsletter%26utm_source=tldr-founder%26utm_content=primary/4/010001993dd196ef-b976a76e-85f5-4607-aedf-ae7bebcd012e-000000/hToLLgQ8rtsM-lVn9aljw7lZoWh25oCWn-mgSfEVgJQ=422" rel="noopener noreferrer nofollow" target="_blank"><span>new monetization strategies for the AI era</span></a>.</p>
<p>Expect to find out:</p>
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<li>Who owns pricing decisions?</li>
<li>Does AI break usage-based pricing?</li>
<li>How do you iterate and experiment on pricing models?</li>
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Ftechcrunch.com%2F2025%2F09%2F10%2Freplit-hits-3b-valuation-on-150-million-annualized-revenue%2F%3Futm_source=tldrfounders/1/010001993dd196ef-b976a76e-85f5-4607-aedf-ae7bebcd012e-000000/f8-40_S40S_GISa03uGq0zdhASxQIIIinVBUx0pyrkc=422">
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<strong>Replit hits $3B valuation on $150 million annualized revenue (1 minute read)</strong>
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Replit has raised $250 million, achieving a $3 billion valuation with $150 million in annualized revenue. Prysm Capital led the round with Amex Ventures and Google's AI Futures Fund also participating alongside existing investors. Microsoft's recent Azure integration highlights Replit's growing popularity in the developer community.
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<strong>Blockchain lender Figure raises $787.5 million in US IPO (2 minute read)</strong>
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Figure Technology raised $787.5 million in its IPO, valuing the blockchain lender at $5.29 billion. The company sold 31.5 million shares at $25 each, higher than its initial range, and will trade on Nasdaq under "FIGR." Figure specializes in blockchain-based home equity loans with faster processing times.
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<strong>Klarna shares rise 15% in their first day of trading on Wall Street (4 minute read)</strong>
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Klarna's shares surged 15% on its NYSE debut, opening at $52 and closing at $45.82. The IPO raised $1.37 billion, marking it the largest of 2025. Klarna targets U.S. growth, rivaling credit cards with its "pay-in-4" plan as regulatory scrutiny of buy-now-pay-later services increases.
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<h1><strong>Strategies & Tactics</strong></h1>
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<strong>How AI Is Rewriting Inbound Conversion (4 minute read)</strong>
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Inbound conversion used to mean SDRs racing to respond within minutes, but AI agents are proving to be the perfect use case - they qualify instantly, respond 24/7, and buyers actually prefer them to pushy salespeople. Rho cut cost-per-meeting from $570 to $45, Demandbase booked 4x more meetings, and Hubspot's PLG motion finally converted browsers into buyers - all by replacing human SDRs with AI agents.
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<strong>$-Impact of Zero-Waste GTM (3 minute read)</strong>
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Zero-Waste GTM means eliminating all non-essential work from your go-to-market teams using AI, and some companies are claiming 90% revenue lifts without adding headcount - here's how the math actually works. When AI handles the 70% of tasks that aren't selling (data entry, follow-ups, and research), your best reps can take on twice as many deals, and here's where it gets interesting: those top performers close 10% better, get 10% higher prices, and move 10% faster - multiply those together and you get 1.1 x 1.1 x 1.1 = roughly 1.33x improvement per deal, times twice the deals, which equals nearly double the revenue.
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<strong>OpenAI's Head of Product Reveals the 15 AI Distribution Plays That Build Real Moats (2 minute read)</strong>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Distribution determines survival in AI because features replicate in weeks while distribution compounds over years - Perplexity won through shareable outputs, Clay invented the job category "GTM Engineer," and Cluely turned outrage into free marketing. The framework splits into three paths that actually work: bundling into existing platforms where users already live, embedding invisibly at the moment of workflow intent, or creating unfair advantages competitors won't copy like provocative narratives. The 15 tactics range from designing outputs people want to share to pricing that grows revenue faster than costs - master three to five of these, and you will survive when GPT-5 makes everyone's features identical overnight.
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<h1><strong>Tools & Resources</strong></h1>
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<strong>AI-native analytics for founders (Sponsor)</strong>
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Foboe.fyi%2F%3Futm_source=tldrfounders/1/010001993dd196ef-b976a76e-85f5-4607-aedf-ae7bebcd012e-000000/aVc8BzjkKA83LIoU4fWWbfJF0O_b9BiS0YMGoqlmYPI=422">
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<strong>Oboe (Tool)</strong>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Instantly create engaging courses with AI.
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<strong>Refero 4.0 (Tool)</strong>
</span>
</a>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Refero 4.0 is a design research tool with 100k+ curated product screens, user flows, and UX patterns, searchable with AI for instant inspiration and reference.
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<strong>Retool Agents (Tool)</strong>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Retool Agents lets you turn your APIs and business data into autonomous AI systems that execute workflows with human-like reasoning and decision-making.
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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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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fbensaltiel.substack.com%2Fp%2Fhow-to-build-mental-strength%3Futm_source=tldrfounders/1/010001993dd196ef-b976a76e-85f5-4607-aedf-ae7bebcd012e-000000/6BXiH5pIUP6ozc1PMKYxPtlcn5rBRZhQeCtcWqvhnlQ=422">
<span>
<strong>How to Build Mental Strength (4 minute read)</strong>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Clear thinking requires four strengths that most people lack: self-accountability (taking responsibility instead of making excuses), self-knowledge (knowing where you're actually competent versus where you're just confident), self-control (managing impulses so you're not sabotaging your long-term goals), and self-confidence (the balance between earned competence and aspiration). These aren't abstract ideals, but muscles you train daily. Positive habits become automatic defaults that compound over time, while the right role models show you what's possible without you needing to compete with them directly.
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<span>
<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fevery.to%2Fsource-code%2Fbuild-places-not-products%3Futm_source=tldrfounders/1/010001993dd196ef-b976a76e-85f5-4607-aedf-ae7bebcd012e-000000/wSxyKNdXKvT3vn0Vy8jClCBOCzb6yCCAsWVQntYCdNU=422">
<span>
<strong>Build Places, Not Products (4 minute read)</strong>
</span>
</a>
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<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Software design is beginning to look like conference rooms under fluorescent lights - functional but soulless - because teams optimize for efficiency over atmosphere. When AI can generate competent interfaces in seconds, one defensible position is creating an atmosphere that makes people choose your product, not because it works (everything works), but because it feels like somewhere they want to be.
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Flinks.tldrnewsletter.com%2FiWAA3b/1/010001993dd196ef-b976a76e-85f5-4607-aedf-ae7bebcd012e-000000/yWkMXqJQnL2504o8STDK-3tP1ALbCkdZK13cVrnAWPc=422">
<span>
<strong>Why language models hallucinate (3 minute read)</strong>
</span>
</a>
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<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
OpenAI has published a paper explaining why AI models make up facts. It comes down to how we test them - models get points for guessing right but zero for saying "I don't know," so they learn to confidently invent answers rather than admit uncertainty. If a model doesn't know your birthday and guesses "September 10," it has a 1-in-365 chance of scoring, but admitting ignorance guarantees failure, which trains even advanced models like GPT-5 to hallucinate rather than be honest.
</span>
</span>
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<div style="text-align: center;"><span style="font-size: 36px;">⚡</span></div></div>
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<h1><strong>Quick Links</strong></h1>
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fhellooperator.substack.com%2Fp%2Fyou-grow-by-trying-stuff%3Futm_source=tldrfounders/1/010001993dd196ef-b976a76e-85f5-4607-aedf-ae7bebcd012e-000000/upgAvG5Misq2hi-wuNpYRcdr9HlibMNI1hQQDTBrTx8=422">
<span>
<strong>You Grow By Trying Stuff (1 minute read)</strong>
</span>
</a>
<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Growth follows the laws of experimentation, not templates - you throw things at customers, observe what sticks, then amplify the signal.
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<span>
<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fexa.ai%2Fblog%2Fannouncing-series-b%3Futm_source=tldrfounders/1/010001993dd196ef-b976a76e-85f5-4607-aedf-ae7bebcd012e-000000/33fwjdOpg70hSoZO0nJLc_6hV-LtUEIDT2uh1vxOai4=422">
<span>
<strong>Exa Raises $85M Series B to Power AI-Optimized Search (5 minute read)</strong>
</span>
</a>
<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Exa raised $85 million in Series B funding, led by Benchmark, with participation from Lightspeed, Nvidia, and YCombinator, for its AI-focused search engine.
</span>
</span>
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fnews.crunchbase.com%2Fai%2Fventure-goog-munichiello-hulme-gv%2F%3Futm_source=tldrfounders/1/010001993dd196ef-b976a76e-85f5-4607-aedf-ae7bebcd012e-000000/kmxe7PsYWMsGGUygKfCOZKOc4Jjb8GQWSJwXqsJCuTc=422">
<span>
<strong>GV Bets Big On ‘AI Magic' — Even When It Competes With Alphabet (9 minute read)</strong>
</span>
</a>
<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
GV is actively investing in AI startups, even those competing with Alphabet, leveraging its independent decision-making model.
</span>
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