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<div style="display: none; max-height: 0px; overflow: hidden;">Rapid spikes in user growth and revenue no longer signal durable success, so investors now focus on momentum and unit economics </div>
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<h1><strong> TLDR Founders <span id="date">2026-01-30</span></strong></h1>
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<h1><strong>Headlines & Trends</strong></h1>
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<strong>The New Rules for Fundraising in the AI Era (8 minute read)</strong>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Vivek Ramaswami and colleagues at Madrona outline how AI has disrupted traditional fundraising benchmarks. Rapid spikes in user growth and revenue no longer signal durable success, so investors now focus on momentum, unit economics, clear expansion pathways, and customer dependence. Founders must prove that growth is sustainable, customers are genuinely locked in, and their business has a defensible trajectory rather than just hitting arbitrary ARR milestones.
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.growthunhinged.com%2Fp%2F2026-state-of-ai-gtm-report%3Futm_source=tldrfounders/1/0100019c0f13ec83-041fb403-701a-4fcd-b80f-0a758890781e-000000/u8k9XHhVNKlfr0z8aXNF89VtkEzi8BVhk1LCfIsjLqE=442">
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<strong>What's working in AI for GTM (10 minute read)</strong>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
53% of GTM leaders are seeing little to no impact from AI. This report interviewed 30 who are and compiled 40 of their best workflows across content, prospecting, and sales. Most can be built with ChatGPT or Claude plus off-the-shelf tools. The report walks through step-by-step examples with exact prompts.
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<div style="text-align: center;"><span style="font-size: 36px;">🧠</span></div>
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<h1><strong>Strategies & Tactics</strong></h1>
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<strong>PMF is a Lagging Indicator. Start With Habit Formation Instead (5 minute read)</strong>
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Grant Lee argues that Product-Market Fit is a lagging metric and advises founders to focus first on whether they are building recurring habits rather than one-off solutions. By targeting frequent, low-friction problems and designing products that users invest in quickly, startups can create sticky behaviors that drive long-term engagement. Examples like Slack and Gamma illustrate how habit-focused design outperforms solutions that only address infrequent or high-friction needs.
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<strong>Building AI products: Lessons from Productboard Spark (22 minute read)</strong>
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The fundamentals of product management haven't changed. Building AI products is still about solving real problems for real people. Start by matching customer pain to tech capabilities, build prototypes fast, measure quality rigorously, and evolve your team as you scale. The teams that ship great AI products will be the ones that learned fastest from what didn't work.
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<div style="text-align: center;"><span style="font-size: 36px;">⚒️</span></div></div>
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<h1><strong>Tools & Resources</strong></h1>
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<strong>Imagine (Tool)</strong>
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Imagine is an AI-powered builder that turns ideas into fully functional, secure, and scalable applications with built-in cloud infrastructure and compliance features.
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<strong>Decipher (Tool)</strong>
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Decipher AI generates your E2E tests, maintains them as you ship, and catches issues before customers do.
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<strong>Ada (Tool)</strong>
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Ada is an AI data analyst that creates professional reports from any dataset.
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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%2Finsights.euclid.vc%2Fp%2Fthe-fundability-trap%3Futm_source=tldrfounders/1/0100019c0f13ec83-041fb403-701a-4fcd-b80f-0a758890781e-000000/UICf_7FwrgdT1XdcxtiCqG-4c3hDbTFsHj8WT5PJA2k=442">
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<strong>The Fundability Trap (17 minute read)</strong>
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Fundability is the measure of how well a startup fits with the current venture consensus. Investability is a measure of potential outcome and financial return. VCs that conflate the two or don't recognize the difference risk building an entire ecosystem that rewards fundability. Chasing fundability over investability has never been a reliable path to outlier outcomes and fund returns.
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<strong>Software in a post-abundance world (10 minute read)</strong>
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AI is transforming software production by making it cheaper and faster, leading to smaller teams, reduced margins, and shifting value from code creation to decision-making and integration. This shift challenges old economic models where large teams thrived under abundant capital and growth incentives, pushing the industry towards leaner operations and disposable software. Capital now focuses on leveraging AI in areas like healthcare and manufacturing, where software integration with domain expertise is harder to replicate, refining the industry's focus from quantity to strategic depth and adaptability.
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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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<strong>AEO: Optimize for the follow up (4 minute read)</strong>
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Traditional SEO treated search as a transaction.
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<strong>Don't solve problems that don't exist. (7 minute read)</strong>
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Avoid solving nonexistent problems by focusing only on what's essential for progress and value creation.
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<strong>$281b From One Customer (2 minute read)</strong>
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Microsoft's Q2 FY2026 earnings impressed with $81.3 billion revenue and Azure's 39% growth, though the stock fell due to capacity constraints.
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