Serpa

@thinking_slow or you could just sign up to @tryserpa tryserpa.com

if i was starting my FIRST DAY as a new Head of Content, here's what i would do: - build a new blog using a static site generator, host with GitHub, deploy with Netlify or Cloudflare Pages. for an existing blog like WordPress, set up an MCP connector. the goal is a fully AI-native blog, analysis, content creation, updating, all from the terminal, all in my control - get access to Gong/Intercom/Slack and extract common entities and n-grams. find the language customers and prospects really use, use this as seed keywords for topic research - build key "source of truth" files in markdown i can reference throughout my workflows: a master list of product features and use cases, canonical writing voice with specific reference articles, key strategic priorities to shape everything we do - crawl our sitemap and generate vector embeddings for every article. use this to analyse topical authority (and topic "drift") and automate internal linking - schedule a recurring, automated content audit: pull rankings and backlink data via the Ahrefs MCP, analyse AI search visibility with Brand Radar, flag technical issues with Site Audit, look for traffic decay via GSC and make a priority list of content updates - set up a daily cron job to refresh our highest priority articles: extract the article content, run through AI Content Helper to fill topic gaps, update old claims and statistics, save as a draft for my review - run a content gap analysis using the Ahrefs MCP to find key topics our competitors have covered that we haven't. use Firehose to get a daily update of new articles and industry news emailed to me - build my Content OS: a centralised dashboard that pulls all of these reports and workflows into one place. this is exactly what i've done at Ahrefs using Agent A - get fired for spending $80M in AI credits in my first day (maybe?) --- i sound like an obnoxious AI hype bro, but all these workflows are things my team have actually built. many of them will become the norm sooner rather than later AI is truly putting the "manager" into "Content Marketing Manager". we now operate at a higher-level of abstraction, building systems to support our work instead of doing everything ourselves we don't have to consign ourselves to Google Docs and rely on developers and designers: we can build AI-native blogs as malleable as plasticine and shape every facet of them to our exact specification. if you can imagine it, you can build it! and as crazy as this sounds, this isn't so much the "first 30-days" of content marketing as the first 30-MINUTES, because so much of this infrastructure can be built agentically. you just need to have the vision, know what to ask for, and use your taste and experience to nudge as these systems get built for you if you don't know where to start: pick one of these ideas, login to Claude Code or Codex or Agent A, paste the bullet and ask it to build it (and some of these are already available as free apps in Agent A!)

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Looking to connect with more: - founders - indie hackers - vibe coders - people shipping AI products. if you're building something right now, drop what you're working on in the comments. let's connect!

getting closer and closer to launch! > @serpaseo new landing page 💎 > also launched a prelaunch sale of 50% off forever if this fails i might have to sell my soul for web design. stay tuned!

@serpaseo waitlist is live!✅ if you’re a founder grinding on content and SEO every week, this is your shot to get in early. > free access for early testers > priority features > front row seat while I build this in real time.

@henrythe9ths FUNDRAISE

I got rejected by 144 investors before raising $150M for my $200M+ rev/year startup. After 144 rejections, I started questioning our approach. Were we solving the right problem? What were we doing wrong? Why weren’t investors seeing what we were seeing? Were we the right team to build this? We tried everything: different pitch angles, new deck structures, and reframing the problem. Then came the 145th meeting, where we closed our first growth round. That yes made everything worth it. But getting there took years of mistakes and hard work. We went through a lot of trial and error just to figure out what resonates with investors. We tried dozens of approaches to figure out what made investors engage. Some landed, most didn't. But each iteration taught us something about what builds conviction versus what just sounds good on paper. And once we cracked that code, our Series C closed faster than expected. And today, I see so many founders in the exact same position I was in 10 years ago: grinding through rejections, questioning everything, and trying to figure out what works. So today I want to give you the resource I wish I had back then: Something that shows you exactly how to structure these conversations and navigate the entire process (because the fundraising cycle can be a big distraction and take a toll on you as a founder). So I've partnered with Notion's Startups Team to create the essential fundraising resource that helps you avoid the mistakes that cost me years. Here's what you are getting: • The actual decks I used to raise $150M for Super[.]com (Series B, C) • 50 real examples from funded startups like Eleven Labs and Artisan AI • A searchable database of 10,000+ investors - angels, VCs, and accelerators you can reach out to immediately (this alone would take months to build manually) • An AI-powered fundraising agent built into Notion with step-by-step prompts (no separate ChatGPT needed) Want access? • Like and share this post • Comment "FUNDRAISE" • Follow me so I can DM you the link I'll send it over ASAP. P.S.: If you are serious about fundraising (now or in the future), you should grab it right away.