{"id":309888,"date":"2025-03-18T05:12:23","date_gmt":"2025-03-18T12:12:23","guid":{"rendered":"https:\/\/www.saastr.com\/?p=309888"},"modified":"2025-03-18T11:29:57","modified_gmt":"2025-03-18T18:29:57","slug":"mastering-growth-in-the-ai-era-how-to-stand-out-acquire-customers-and-raise-vc-dollars-with-b-capital-zetta-and-glasswing","status":"publish","type":"post","link":"https:\/\/www.saastr.com\/mastering-growth-in-the-ai-era-how-to-stand-out-acquire-customers-and-raise-vc-dollars-with-b-capital-zetta-and-glasswing\/","title":{"rendered":"Mastering Growth in the AI Era: How to Stand Out, Acquire Customers, and Raise VC Dollars with B Capital, Zetta, and Glasswing"},"content":{"rendered":"<p>3 top VCs gathered at <span style=\"text-decoration: underline;\"><strong><a href=\"http:\/\/www.saastrannual.com\">SaaStr Annual<\/a><\/strong><\/span> to do a deep dive on AI in B2B today, from what customers really want in the enterprise to what VCs are funding:<\/p>\n<ul>\n<li><strong>Karen Page<\/strong>, General Partner at B Capital<\/li>\n<li><strong>Rudina Seseri<\/strong>, Managing Partner at Glasswing Ventures, which focuses on early-stage AI and Frontier Tech investments in Enterprise and cybersecurity markets.<\/li>\n<li><strong>Joselyn Goldfein<\/strong>, Managing Director at Zeta Venture Partners, which invests in AI and data infrastructure-focused startups from inception through seed stage<\/li>\n<\/ul>\n<p>And see everyone at <span style=\"text-decoration: underline;\"><strong><a href=\"http:\/\/www.saastrannual.com\">2025 SaaStr Annual, May 13-15 in SF Bay!!<\/a><\/strong><\/span><\/p>\n<p><iframe title=\"Mastering Growth in AI Era: Stand Out, Acquire Customers, Raise VC with Zetta, Glasswing, B Capital\" width=\"1080\" height=\"608\" data-src=\"https:\/\/www.youtube.com\/embed\/0Dz4-2Ocsd0?feature=oembed&#038;enablejsapi=1&#038;origin=https:\/\/www.saastr.com\"  allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen src=\"data:image\/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==\" class=\"lazyload\" data-load-mode=\"1\"><\/iframe><\/p>\n<h2 class=\"text-xl font-bold text-text-200 mt-1 -mb-0.5\">What VCs Are Funding in AI Today<\/h2>\n<p class=\"whitespace-pre-wrap break-words\">The AI funding landscape has evolved rapidly in 2023-2025. Here&#8217;s where the smart money is flowing:<\/p>\n<ol class=\"[&amp;:not(:last-child)_ul]:pb-1 [&amp;:not(:last-child)_ol]:pb-1 list-decimal space-y-1.5 pl-7\">\n<li class=\"whitespace-normal break-words\"><span style=\"text-decoration: underline;\"><strong>Vertical-specific AI applications<\/strong><\/span> that solve industry-specific problems in healthcare, fintech, and life sciences are attracting significant investment<\/li>\n<li class=\"whitespace-normal break-words\"><span style=\"text-decoration: underline;\"><strong>Enterprise AI governance tools<\/strong><\/span> to help large organizations manage model deployment, security, and compliance as AI becomes mission-critical<\/li>\n<li class=\"whitespace-normal break-words\"><span style=\"text-decoration: underline;\"><strong>AI developer productivity tools<\/strong><\/span> continue to see strong funding as they demonstrate immediate ROI through measurable engineering efficiency gains<\/li>\n<li class=\"whitespace-normal break-words\"><span style=\"text-decoration: underline;\"><strong>Data infrastructure for AI<\/strong><\/span> including vector databases, annotation tools, and data quality platforms that support the foundation of AI systems<\/li>\n<li class=\"whitespace-normal break-words\"><span style=\"text-decoration: underline;\"><strong>AI agents with specialized capabilities<\/strong><\/span> rather than general-purpose assistants, particularly those that integrate with existing workflows and enterprise systems<\/li>\n<\/ol>\n<p class=\"whitespace-pre-wrap break-words\">Notably, VCs are becoming more selective about &#8220;AI-native&#8221; startups, requiring demonstrable technical advantages beyond simple API integrations with large language models.<\/p>\n<h2 class=\"text-xl font-bold text-text-200 mt-1 -mb-0.5\">4 Unexpected Learnings:<\/h2>\n<ol class=\"[&amp;:not(:last-child)_ul]:pb-1 [&amp;:not(:last-child)_ol]:pb-1 list-decimal space-y-1.5 pl-7\">\n<li class=\"whitespace-normal break-words\"><span style=\"text-decoration: underline;\"><strong>AI adoption follows reverse logic<\/strong><\/span>: Unlike traditional tech, start with employee-facing tools rather than customer-facing applications for higher success rates<\/li>\n<li class=\"whitespace-normal break-words\"><span style=\"text-decoration: underline;\"><strong>&#8220;AI Application as a Service&#8221; (AIS) is emerging<\/strong><\/span> as a new category distinct from traditional SaaS, with different implementation and go-to-market requirements<\/li>\n<li class=\"whitespace-normal break-words\"><span style=\"text-decoration: underline;\"><strong>Incumbents have unexpected advantages<\/strong><\/span> in AI adoption due to data assets and distribution networks, making direct competition challenging for startups<\/li>\n<li class=\"whitespace-normal break-words\"><span style=\"text-decoration: underline;\"><strong>Narrow AI solutions often win<\/strong><\/span> against broader platforms, contrary to the usual technology adoption pattern where comprehensive platforms typically dominate<\/li>\n<\/ol>\n<h2 class=\"text-xl font-bold text-text-200 mt-1 -mb-0.5\">AI Adoption: Interest vs. Implementation<\/h2>\n<p class=\"whitespace-pre-wrap break-words\">The enterprise interest in AI right now is off the charts. Every public company earnings call mentions AI, and every boardroom discussion includes it. Yet there&#8217;s a massive gap between interest and implementation.<\/p>\n<p class=\"whitespace-pre-wrap break-words\"><strong>The harsh reality:<\/strong> Most enterprises are adopting AI due to FOMO (Fear Of Missing Out) rather than for specific business outcomes. A chief data officer at a top-five global bank recently shared they have 150 generative AI projects in the lab but zero in production.<\/p>\n<p class=\"whitespace-pre-wrap break-words\">If 2023 was the &#8220;year of the demo,&#8221; 2024 should be the &#8220;year of production&#8221; &#8211; but most companies are still struggling to deploy AI successfully. This creates both challenges and opportunities for founders.<\/p>\n<p><iframe title=\"How AI Can Establish a Competitive Edge in SaaS with Zetta Venture Partners\" width=\"1080\" height=\"608\" data-src=\"https:\/\/www.youtube.com\/embed\/FGS6VBMIP44?feature=oembed&#038;enablejsapi=1&#038;origin=https:\/\/www.saastr.com\"  allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen src=\"data:image\/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==\" class=\"lazyload\" data-load-mode=\"1\"><\/iframe><\/p>\n<h2 class=\"text-xl font-bold text-text-200 mt-1 -mb-0.5\">Project Selection: Where Enterprises Go Wrong<\/h2>\n<p class=\"whitespace-pre-wrap break-words\">Many companies stumble by deploying AI in high-risk, customer-facing applications first (like chatbots). This is exactly backward.<\/p>\n<p class=\"whitespace-pre-wrap break-words\"><strong>The winning approach:<\/strong> Start with employee-facing tools that deliver measurable productivity gains. Software engineering teams have been early adopters of AI coding assistants precisely because they provide an immediate, measurable lift.<\/p>\n<p class=\"whitespace-pre-wrap break-words\">The current state of AI adoption resembles the early days of cloud: great infrastructure exists, but there&#8217;s a lack of applications to use it effectively. Everyone is trying to DIY without knowing how.<\/p>\n<h2 class=\"text-xl font-bold text-text-200 mt-1 -mb-0.5\">Distinguishing True AI from AI Washing<\/h2>\n<p class=\"whitespace-pre-wrap break-words\">Be wary of companies creating &#8220;thin wrappers&#8221; around OpenAI offerings and claiming to be AI companies. Investors have become increasingly skeptical of startups that simply add &#8220;AI&#8221; to existing products without deep integration or understanding.<\/p>\n<p class=\"whitespace-pre-wrap break-words\">The actual tech stack matters. To build a successful AI company in 2024 and beyond, you need:<\/p>\n<ol class=\"[&amp;:not(:last-child)_ul]:pb-1 [&amp;:not(:last-child)_ol]:pb-1 list-decimal space-y-1.5 pl-7\">\n<li class=\"whitespace-normal break-words\">More substantial tech depth<\/li>\n<li class=\"whitespace-normal break-words\">Proprietary technology advantages<\/li>\n<li class=\"whitespace-normal break-words\">A clear path to production use cases<\/li>\n<\/ol>\n<h2 class=\"text-xl font-bold text-text-200 mt-1 -mb-0.5\">Navigating the &#8220;False Indication of Interest&#8221;<\/h2>\n<p class=\"whitespace-pre-wrap break-words\">AI founders face a unique challenge: the &#8220;false indication of interest&#8221; phenomenon. Potential customers express enthusiasm for AI without actual buying intent.<\/p>\n<p class=\"whitespace-pre-wrap break-words\"><strong>How to overcome this:<\/strong> Focus on solving specific problems rather than selling &#8220;AI.&#8221; Whether it&#8217;s improving productivity, enhancing data quality, or optimizing processes, the value proposition must be concrete.<\/p>\n<p><iframe title=\"Join SaaStr Annual 2025: Must-Attend Event for SaaS Growth &amp; Scaling l May 13-15, San Francisco Bay\" width=\"1080\" height=\"608\" data-src=\"https:\/\/www.youtube.com\/embed\/SFrql-8V_P0?feature=oembed&#038;enablejsapi=1&#038;origin=https:\/\/www.saastr.com\"  allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen src=\"data:image\/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==\" class=\"lazyload\" data-load-mode=\"1\"><\/iframe><\/p>\n<h2 class=\"text-xl font-bold text-text-200 mt-1 -mb-0.5\">Building a Moat in the AI Era<\/h2>\n<p class=\"whitespace-pre-wrap break-words\">The commoditization risk in both the infrastructure layer and thin application layer is substantial. To build a barrier to entry:<\/p>\n<ol class=\"[&amp;:not(:last-child)_ul]:pb-1 [&amp;:not(:last-child)_ol]:pb-1 list-decimal space-y-1.5 pl-7\">\n<li class=\"whitespace-normal break-words\"><strong>Own the middle layer<\/strong> of your tech stack<\/li>\n<li class=\"whitespace-normal break-words\"><strong>Address widely recognized problems<\/strong> that others haven&#8217;t solved<\/li>\n<li class=\"whitespace-normal break-words\"><strong>Target areas where the market need is identified<\/strong> but solutions aren&#8217;t mature<\/li>\n<\/ol>\n<h2 class=\"text-xl font-bold text-text-200 mt-1 -mb-0.5\">Success Stories: FeatureByte, Weavi, and Laiva<\/h2>\n<h3 class=\"text-lg font-bold text-text-200 mt-1 -mb-1.5\">FeatureByte<\/h3>\n<p class=\"whitespace-pre-wrap break-words\">This company leverages AI to automate feature engineering, articulating clear ROI: &#8220;We can automate a process that would take months and $2M per dataset.&#8221;<\/p>\n<h3 class=\"text-lg font-bold text-text-200 mt-1 -mb-1.5\">Weavi<\/h3>\n<p class=\"whitespace-pre-wrap break-words\">Founded in 2020, they anticipated the growing importance of unstructured data and embeddings. By predicting the rise of multimodal AI, they positioned themselves with the necessary infrastructure (including vector databases) to serve the next generation of applications.<\/p>\n<h3 class=\"text-lg font-bold text-text-200 mt-1 -mb-1.5\">Laiva<\/h3>\n<p class=\"whitespace-pre-wrap break-words\">Becoming the platform of choice for life science companies and research institutions by creating a two-sided marketplace with significant SaaS components. They use AI for price discoverability and optimization, with a setup that drives annual retention.<\/p>\n<h2 class=\"text-xl font-bold text-text-200 mt-1 -mb-0.5\">Deployment Strategies: Top-Down vs. Bottom-Up<\/h2>\n<p class=\"whitespace-pre-wrap break-words\">Infrastructure companies typically deploy top-down, while application-layer tools are more likely to follow bottom-up adoption patterns. The new term &#8220;AI application as a service&#8221; (AIS) describes companies selling AI-powered applications to mid-market and enterprise customers.<\/p>\n<p class=\"whitespace-pre-wrap break-words\">Product-led growth (PLG) motion applies well to AI-powered products. Examples like ChatGPT and Perplexity demonstrate how AI applications can be adopted through PLG strategies.<\/p>\n<h2 class=\"text-xl font-bold text-text-200 mt-1 -mb-0.5\">SaaS vs. AI: A Misleading Analogy<\/h2>\n<p class=\"whitespace-pre-wrap break-words\">Unlike SaaS, AI isn&#8217;t necessarily disruptive to the existing tech stack. Incumbents can plug in AI-powered features without a complete rewrite.<\/p>\n<p class=\"whitespace-pre-wrap break-words\"><strong>The incumbent advantage:<\/strong> Distribution networks and vast data resources give established players a significant edge. Going head-to-head with a system of record simply because you&#8217;re &#8220;the AI-powered version&#8221; is often a losing strategy.<\/p>\n<h2 class=\"text-xl font-bold text-text-200 mt-1 -mb-0.5\">Building a Durable AI Business<\/h2>\n<p class=\"whitespace-pre-wrap break-words\">To create a lasting AI business:<\/p>\n<ol class=\"[&amp;:not(:last-child)_ul]:pb-1 [&amp;:not(:last-child)_ol]:pb-1 list-decimal space-y-1.5 pl-7\">\n<li class=\"whitespace-normal break-words\"><strong>Develop applications with stickiness<\/strong> and resilience to system-of-record functionality<\/li>\n<li class=\"whitespace-normal break-words\"><strong>Build a clear moat<\/strong> in a market facing commoditization<\/li>\n<li class=\"whitespace-normal break-words\"><strong>Solve previously unaddressable problems<\/strong> or develop advantages incumbents cannot easily replicate<\/li>\n<\/ol>\n<p class=\"whitespace-pre-wrap break-words\">Starting an AI company requires significantly higher setup effort than traditional SaaS, including building and training algorithms and collecting data.<\/p>\n<h2 class=\"text-xl font-bold text-text-200 mt-1 -mb-0.5\">Determining Demand and Budgets<\/h2>\n<p class=\"whitespace-pre-wrap break-words\">When entering an existing category, understand go-to-market strategies and adoption signals. For new categories, thorough market research is essential.<\/p>\n<p class=\"whitespace-pre-wrap break-words\">Unlike the early days of SaaS, starting an AI company is expensive. Be prepared for higher capital requirements.<\/p>\n<h2 class=\"text-xl font-bold text-text-200 mt-1 -mb-0.5\">Current AI Capabilities and Limitations<\/h2>\n<p class=\"whitespace-pre-wrap break-words\">AI excels at:<\/p>\n<ul class=\"[&amp;:not(:last-child)_ul]:pb-1 [&amp;:not(:last-child)_ol]:pb-1 list-disc space-y-1.5 pl-7\">\n<li class=\"whitespace-normal break-words\">Summarization<\/li>\n<li class=\"whitespace-normal break-words\">Content generation<\/li>\n<li class=\"whitespace-normal break-words\">Voice and image recognition<\/li>\n<\/ul>\n<p class=\"whitespace-pre-wrap break-words\">AI struggles with:<\/p>\n<ul class=\"[&amp;:not(:last-child)_ul]:pb-1 [&amp;:not(:last-child)_ol]:pb-1 list-disc space-y-1.5 pl-7\">\n<li class=\"whitespace-normal break-words\">Complex planning<\/li>\n<li class=\"whitespace-normal break-words\">Multi-step workflows<\/li>\n<\/ul>\n<p class=\"whitespace-pre-wrap break-words\">Understanding &#8220;good enough&#8221; accuracy for your specific use case is critical. Tolerance for errors varies dramatically by industry and application.<\/p>\n<h2 class=\"text-xl font-bold text-text-200 mt-1 -mb-0.5\">Creating a Data Moat<\/h2>\n<p class=\"whitespace-pre-wrap break-words\">A &#8220;data moat&#8221; refers to a unique and defensible data set providing competitive advantage. Options include:<\/p>\n<ol class=\"[&amp;:not(:last-child)_ul]:pb-1 [&amp;:not(:last-child)_ol]:pb-1 list-decimal space-y-1.5 pl-7\">\n<li class=\"whitespace-normal break-words\"><strong>Curation and annotation<\/strong> of otherwise commoditized data<\/li>\n<li class=\"whitespace-normal break-words\"><strong>Access to unique data sources<\/strong> (like wet lab data in life sciences)<\/li>\n<li class=\"whitespace-normal break-words\"><strong>Creating new workflows<\/strong> that generate proprietary data<\/li>\n<\/ol>\n<p class=\"whitespace-pre-wrap break-words\">Having a narrow focus often leads to higher quality data access and lower likelihood of disruption by generalist infrastructure companies.<\/p>\n<h2 class=\"text-xl font-bold text-text-200 mt-1 -mb-0.5\">The Governance Opportunity<\/h2>\n<p class=\"whitespace-pre-wrap break-words\">Many organizations are testing AI infrastructure that lacks governance controls. Large enterprises have an immediate need for governance solutions to handle AI at scale.<\/p>\n<p class=\"whitespace-pre-wrap break-words\">This represents an under-recognized opportunity for B2B AI startups focusing on compliance, risk management, and administrative controls.<\/p>\n<h2 class=\"text-xl font-bold text-text-200 mt-1 -mb-0.5\">Where It&#8217;s Harder to Get VC Funding in AI Today<\/h2>\n<p class=\"whitespace-pre-wrap break-words\">Despite the overall enthusiasm for AI, several areas face increasing investor skepticism:<\/p>\n<ol class=\"[&amp;:not(:last-child)_ul]:pb-1 [&amp;:not(:last-child)_ol]:pb-1 list-decimal space-y-1.5 pl-7\">\n<li class=\"whitespace-normal break-words\"><span style=\"text-decoration: underline;\"><strong>&#8220;AI-washing&#8221; startups<\/strong><\/span> that simply integrate OpenAI APIs with minimal proprietary technology or differentiation<\/li>\n<li class=\"whitespace-normal break-words\"><span style=\"text-decoration: underline;\"><strong>General-purpose AI assistants<\/strong><\/span> competing directly with well-funded incumbents like ChatGPT and Claude, particularly those without specialized domain expertise<\/li>\n<li class=\"whitespace-normal break-words\"><span style=\"text-decoration: underline;\"><strong>Pure infrastructure plays<\/strong><\/span> without clear paths to adoption, as the market is saturated with well-funded options and cloud providers are rapidly expanding their offerings<\/li>\n<li class=\"whitespace-normal break-words\"><span style=\"text-decoration: underline;\"><strong>AI companies with high compute requirements<\/strong><strong> but uncertain unit economics<\/strong><\/span>, as investors grow more concerned about the long-term cost structure of AI businesses<\/li>\n<li class=\"whitespace-normal break-words\"><span style=\"text-decoration: underline;\"><strong>Undifferentiated LLM fine-tuning businesses<\/strong><\/span> that lack proprietary data or novel techniques to create sustained competitive advantages<\/li>\n<li class=\"whitespace-normal break-words\"><span style=\"text-decoration: underline;\"><strong>AI startups targeting SMBs exclusively<\/strong><\/span> without a clear path to enterprise or mid-market customers, as monetization remains challenging in this segment<\/li>\n<\/ol>\n<p class=\"whitespace-pre-wrap break-words\">VCs increasingly expect AI startups to demonstrate not just technical capabilities but also clear paths to sustainable business models with attractive margins. The bar has risen significantly from the &#8220;growth at all costs&#8221; mindset of 2021-2022.<\/p>\n<h2 class=\"text-xl font-bold text-text-200 mt-1 -mb-0.5\">Final Thoughts<\/h2>\n<p class=\"whitespace-pre-wrap break-words\">The AI space is well-funded but still maturing. The most successful companies will combine unique data advantages with strong algorithms and effective go-to-market strategies.<\/p>\n<p class=\"whitespace-pre-wrap break-words\">For founders, the key is balancing long-term vision with short-term proof points that can secure ongoing financing and market traction.<\/p>\n<p><iframe title=\"Mastering Growth in AI Era: Stand Out, Acquire Customers, Raise VC with Zetta, Glasswing, B Capital\" width=\"1080\" height=\"608\" data-src=\"https:\/\/www.youtube.com\/embed\/0Dz4-2Ocsd0?feature=oembed&#038;enablejsapi=1&#038;origin=https:\/\/www.saastr.com\"  allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen src=\"data:image\/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==\" class=\"lazyload\" data-load-mode=\"1\"><\/iframe><\/p>\n","protected":false},"excerpt":{"rendered":"<p>3 top VCs gathered at SaaStr Annual to do a deep dive on AI in B2B today, from what customers really want in the enterprise to what VCs are funding: Karen Page, General Partner at B Capital Rudina Seseri, Managing Partner at Glasswing Ventures, which focuses on early-stage AI and Frontier Tech investments in Enterprise&#8230; <br \/><a class=\"more-link fade\" href=\"https:\/\/www.saastr.com\/mastering-growth-in-the-ai-era-how-to-stand-out-acquire-customers-and-raise-vc-dollars-with-b-capital-zetta-and-glasswing\/\">Continue Reading<\/a><\/p>\n","protected":false},"author":19,"featured_media":309889,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","om_disable_all_campaigns":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2},"_wpscp_schedule_draft_date":"","_wpscp_schedule_republish_date":"","_wpscppro_advance_schedule":false,"_wpscppro_advance_schedule_date":"","_wpscppro_custom_social_share_image":0,"_facebook_share_type":"","_twitter_share_type":"","_linkedin_share_type":"","_pinterest_share_type":"","_linkedin_share_type_page":"","_instagram_share_type":"","_medium_share_type":"","_threads_share_type":"","_selected_social_profile":[]},"categories":[24898,31,24987],"tags":[],"class_list":["post-309888","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai","category-blog-posts","category-saastr-ai"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"https:\/\/i0.wp.com\/www.saastr.com\/wp-content\/uploads\/2025\/03\/growthaiera-scaled.jpg?fit=1000%2C563&quality=70&ssl=1","jetpack_shortlink":"https:\/\/wp.me\/p5oib2-1iCc","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/www.saastr.com\/wp-json\/wp\/v2\/posts\/309888","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.saastr.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.saastr.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.saastr.com\/wp-json\/wp\/v2\/users\/19"}],"replies":[{"embeddable":true,"href":"https:\/\/www.saastr.com\/wp-json\/wp\/v2\/comments?post=309888"}],"version-history":[{"count":6,"href":"https:\/\/www.saastr.com\/wp-json\/wp\/v2\/posts\/309888\/revisions"}],"predecessor-version":[{"id":310215,"href":"https:\/\/www.saastr.com\/wp-json\/wp\/v2\/posts\/309888\/revisions\/310215"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.saastr.com\/wp-json\/wp\/v2\/media\/309889"}],"wp:attachment":[{"href":"https:\/\/www.saastr.com\/wp-json\/wp\/v2\/media?parent=309888"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.saastr.com\/wp-json\/wp\/v2\/categories?post=309888"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.saastr.com\/wp-json\/wp\/v2\/tags?post=309888"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}