I used OpenClaw to analyze TrustMRR's top 200 startups

What even are these businesses?

Before we do a deep dive into their technology stacks and competitive landscapes, it's worth trying to answer something more basic: what do these startups actually do?

Each startup is assigned a single category in TrustMRR. Not all of them have one (and some are anonymous), so the charts below cover the 4,803 that do. Comparing the category distribution of the full 4,803 vs the top 200 already reveals something.

AI dominates both at around a quarter of startups. But the differences are more interesting than the similarities.

Marketing nearly doubles its share: 5% of all startups but 10% of the top earners. E-commerce jumps from 2.4% to 6%, and Marketplace from 1.5% to 4%.

On the other hand, Productivity drops from 6.5% to 2% and Developer Tools from 7% to 4%. Mobile Apps and Fintech shrink too.

💡 From this data, it follows that if you are building a startup, you are more likely to have more revenue if you are building a product that solves marketing or e-commerce problems.

How much money are they making?

From the full sample of all 5,372 startups on TrustMRR, 95% did not cross $10k in revenue in the last 30 days.

The top 200 are a different story. TrustMRR ranks startups by total revenue in the last 30 days. That includes both recurring subscriptions and one-time purchases. By that measure, pretty much all of the top 200 have made at least $10k.

But revenue and MRR are not the same thing. 4 in 10 of the top 200 are still under $10K MRR. A lot of the money at the top is coming from one-time purchases, not recurring subscriptions.

💡 A business built on one-time sales can still bring in money every month.

What technologies are they using?

So now we have a better idea of what these businesses are. Lots of AI products overall, and marketing and e-commerce products making good revenue.

I was also curious to know the tech stacks they use. Are they using boring technology? Which JavaScript and CSS frameworks? Where are they hosted? What kind of analytics do they track?

Webscraperapi has a /detect_technologies endpoint that gathers all of that data for a given URL. So I tried it on Stan's landing page to see what's actually under the hood:

curl -s -G "https://api.webscraperapi.ai/v1/detect_technologies" \
  -H "Authorization: Bearer $WEBSCRAPERAPI_API_KEY" \
  --data-urlencode "output=json" \
  --data-urlencode "url=https://stan.store"

[
  {
    "slug": "vue_js",
    "name": "Vue.js",
    "category": "javascript_frameworks",
    "description": "Progressive JavaScript framework",
    "website": "https://vuejs.org",
    "version": null,
    "confidence": 1.0,
    "evidence": [
      "Found element with Vue scoped attribute: data-v-app"
    ]
  },
  {
    "slug": "ga4",
    "name": "Google Analytics 4",
    "category": "analytics",
    "description": "Google's analytics platform",
    "website": "https://analytics.google.com",
    "version": null,
    "confidence": 1.0,
    "evidence": [
      "Script src matches GA4 gtag.js pattern: https://www.googletagmanager.com/gtag/js?id=G-FPXVPVPGVK&l=dataLayer"
    ]
  },
  {
    "slug": "google_ads_conversion",
    "name": "Google Ads Conversion Tracking",
    "category": "advertising",
    "description": "Google Ads conversion measurement",
    "website": "https://ads.google.com",
    "version": null,
    "confidence": 1.0,
    "evidence": [
      "Script src matches Google Ads conversion pattern: https://www.googletagmanager.com/gtag/js?id=AW-10854378575&cx=c&gtm=4e63g0"
    ]
  },
  {
    "slug": "google_tag_manager",
    "name": "Google Tag Manager",
    "category": "tag_managers",
    "description": "Tag management system by Google",
    "website": "https://tagmanager.google.com",
    "version": null,
    "confidence": 1.0,
    "evidence": [
      "Script src matches GTM pattern: https://www.googletagmanager.com/gtm.js?id=GTM-W9MXN8NB"
    ]
  },
  {
    "slug": "facebook_pixel",
    "name": "Facebook Pixel",
    "category": "advertising",
    "description": "Meta advertising pixel for tracking and targeting",
    "website": "https://www.facebook.com/business/tools/meta-pixel",
    "version": null,
    "confidence": 1.0,
    "evidence": [
      "Script src matches Facebook SDK pattern: https://connect.facebook.net/signals/config/4296631060464751?v=2.9.277&r=stable&domain=www.stan.store&hme=b0ad3...",
      "Script src matches Facebook SDK pattern: https://connect.facebook.net/en_US/fbevents.js"
    ]
  },
  {
    "slug": "tiktok_pixel",
    "name": "TikTok Pixel",
    "category": "advertising",
    "description": "TikTok advertising pixel",
    "website": "https://ads.tiktok.com",
    "version": null,
    "confidence": 1.0,
    "evidence": [
      "Script src matches TikTok Pixel pattern: https://analytics.tiktok.com/i18n/pixel/events.js?sdkid=CVCARNJC77U2KF3E4G70&lib=ttq"
    ]
  },
  {
    "slug": "linkedin_insight",
    "name": "LinkedIn Insight Tag",
    "category": "advertising",
    "description": "LinkedIn advertising and analytics tag",
    "website": "https://business.linkedin.com",
    "version": null,
    "confidence": 1.0,
    "evidence": [
      "Script src matches LinkedIn Insight pattern: https://snap.licdn.com/li.lms-analytics/insight.min.js"
    ]
  },
  {
    "slug": "microsoft_clarity",
    "name": "Microsoft Clarity",
    "category": "analytics",
    "description": "Free behavioral analytics tool",
    "website": "https://clarity.microsoft.com",
    "version": null,
    "confidence": 1.0,
    "evidence": [
      "Script src matches Clarity pattern: https://scripts.clarity.ms/0.8.57/clarity.js",
      "Script src matches Clarity pattern: https://www.clarity.ms/tag/hkx2zp0ttt"
    ]
  },
  {
    "slug": "google_fonts",
    "name": "Google Fonts",
    "category": "fonts",
    "description": "Free web font hosting service by Google",
    "website": "https://fonts.google.com",
    "version": null,
    "confidence": 1.0,
    "evidence": [
      "Tag references Google Fonts: https://fonts.googleapis.com/css2?family=Nunito+Sans:wght@200;300;400;500;600;700;800;900&display=swap",
      "Tag references Google Fonts: https://fonts.googleapis.com/css2?family=Poppins:wght@300;500;600;800&display=swap",
      "Tag references Google Fonts: https://fonts.googleapis.com/css2?family=Plus+Jakarta+Sans:wght@100;200;300;400;600;700;800;900&display=swap",
      "Tag references Google Fonts: https://fonts.googleapis.com/css2?family=Inter:wght@100;200;300;400;600;700;800;900&display=swap"
    ]
  }
]

Each detected technology comes with a confidence score, and evidence showing exactly what was detected on the page. Overall, this data gives us a better idea about the business. We can see that Stan uses Vue.js and is serious about analytics, with 7 tracking and advertising tools.

Armed with this API, I asked my OpenClaw (Clawie) to pull the top 200 startups by revenue from TrustMRR and run detect_technologies on each one using the webscraperapi API.

Clawie wrote a Python script that sent concurrent async requests to the webscraperapi API, and in just a few seconds I got all of the technology data for the 200 websites.

As a sidenote, I'm used to it at this point, but the fact that agents like OpenClaw, Claude Code, and Codex will write small scripts on the spot to handle all sorts of things is so valuable. Disposable scripts! The type of thing that at least I wouldn't do before the Age of AI™ since each script would take away from my finite and constrained thinking (and by extension, my time), which is now available on tap thanks to LLMs.

The data Clawie got us can be visualized as a table, like the one below.

Or in a more condensed tree map.

The 10-year marketing strategy

kitze 🛠️ tinkerer.club

@thekitze

·Follow

Replying to @daniel_nguyenx

requires 10+ yrs of giving out information for free 😂

4:56 PM · Feb 5, 2026

28

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Open source React libraries, conference talks, workshops, free apps, thousands of tweets (he tweets a lot), YouTube videos. A decade of being useful on the internet and putting himself out there.

When he launched a paid community, the trust was already there. He didn't need to do cold outreach, or set up paid ads. People already knew and related to him. From the internet. And so he made $200k in 10 days.

47% of the top 200 startups have zero ad pixels. Some of them, like Kitze, are proof that there are powerful alternatives to paid acquisition.

💡 Years of compounding goodwill convert better than any pixel ever could.

How do they position themselves?

The technology stack tells us how they build and how they acquire customers. SEO tells us something different:

1. what they promise
2. who they think their buyer is, and
3. what search terms they want to own.

The webscraperapi /seo endpoint pulls all of this from any URL:

curl -s -G "https://api.webscraperapi.ai/v1/seo" \
  -H "Authorization: Bearer $WEBSCRAPERAPI_API_KEY" \
  --data-urlencode "url=https://gojiberry.ai"

{
  "h1": "Find&ContactHigh-IntentLeadsWithAI",
  "title": "Gojiberry AI - Grow your sales with warm leads & high intent outreach",
  "description": "Gojiberry finds warm  leads with 10+ intent signals like funding, new roles, events & groups. AI Agents filter by your ICP and run smart outreach campaigns, booking demos automatically while syncing with Slack, HubSpot & Pipedrive.",
  "generator": "Framer 8b16de8",
  "keywords": null,
  "robots": "max-image-preview:large",
  "lang": "en",
  "og_type": "website",
  "og_title": "Gojiberry AI - Grow your sales with warm leads & high intent outreach",
  "og_site_name": null,
  "og_description": "Gojiberry finds warm  leads with 10+ intent signals like funding, new roles, events & groups. AI Agents filter by your ICP and run smart outreach campaigns, booking demos automatically while syncing with Slack, HubSpot & Pipedrive.",
  "og_image": "https://framerusercontent.com/assets/ZHZj6mcDcU1CtSwGAfg39phWec.png",
  "og_url": "https://gojiberry.ai/",
  "og_locale": null,
  "twitter_card": "summary_large_image",
  "twitter_title": "Gojiberry AI - Grow your sales with warm leads & high intent outreach",
  "twitter_description": "Gojiberry finds warm  leads with 10+ intent signals like funding, new roles, events & groups. AI Agents filter by your ICP and run smart outreach campaigns, booking demos automatically while syncing with Slack, HubSpot & Pipedrive.",
  "twitter_site": null,
  "twitter_creator": null,
  "product_price_amount": null,
  "product_price_currency": null,
  "product_availability": null,
  "product_brand": null,
  "product_condition": null
}

From one API call we learn a lot about Gojiberry. They're built on Framer. Their <h1> is "Find & Contact High-Intent Leads With AI". The description mentions "10+ intent signals like funding, new roles, events & groups" and "booking demos automatically". They integrate with Slack, HubSpot, and Pipedrive.

They use the word "intent" a lot, but what does it mean? Say you sell sales coaching software. Few are straight up going to post "I need sales coaching software". But someone might visit your profile, engage with one of your posts, or their company might post a job opening for 5 new sales reps. In that way you can interact with the lead while the problem is fresh instead of cold-messaging strangers from a list.

The CRM integrations (HubSpot, Pipedrive) confirm who the buyer is: people who already track their sales pipeline in these tools. I checked their blog and 8 in 10 of their posts are about LinkedIn outreach, with comparison posts against tools like Expandi, Dripify, and Lemlist. They're also starting to go after recruiters and founders doing their own outreach, but salespeople reaching out on LinkedIn is clearly the main thing.

All of that from one /seo call and a bit of digging.

This is promising, so I asked Clawie to pull SEO data for all the startup websites:

About 3 minutes later I had all the SEO data: