If you're building a SaaS product, you've probably tried BuiltWith to find potential customers. And if you have, you've probably hit the same wall I did. It only sees what's on a company's website.
That's fine if you're selling a Shopify app or a WordPress plugin. But what if you're competing with Slack? Asana? Snowflake? These tools don't leave footprints on company websites, which means BuiltWith is basically useless for finding their users.
I spent a weekend testing alternatives that actually detect backend technologies. The stuff companies use internally that never shows up in their HTML. Here are the five that actually work.
Here's the thing that makes Bloomberry different from everything else on this list: it was built specifically for sales teams doing outbound prospecting.
Let's say you're building an OpenAI competitor. You search for "ChatGPT" in Bloomberry and suddenly you've got thousands of companies using it, complete with employee counts, revenue estimates, and industry data. Try that in BuiltWith and you'll get nothing, because Snowflake doesn't embed scripts on customer websites.
Or maybe you're building a team communication tool. Search for "Slack" or "Microsoft Teams" and Bloomberry shows you thousands of companies actually using these tools internally. You can't find this data anywhere else because collaboration tools don't leave visible traces on websites.
Here's where it gets interesting for lead gen: Bloomberry tracks real-time adoption and churn signals. You can see when companies just started using a product (perfect timing for selling integrations) or when they recently dropped a competitor (they're actively looking for alternatives).
I searched for companies that recently churned from Zendesk and found dozens of businesses actively evaluating new customer support solutions. If you're building a support tool, these are warm leads, not cold prospects. They're already unhappy and shopping around.
Bloomberry also catches things other tools miss. For instance, it can detect when a company's chat widget stops functioning properly, even if the script is still embedded on the page. Most tools would still count that as an active customer when they've actually churned.
The catches? Bloomberry doesn't track frontend frameworks. Need to find Angular or Next.js users? BuiltWith still wins on sheer volume. But for finding users of SaaS products that don't touch the frontend (ERPs, HR tools, security platforms, communication tools) Bloomberry crushes it.
Pricing: Paid plans start at $199/month with both UI and API access. Not cheap for solo builders, but if you land even one customer from it, it pays for itself.
Apollo isn't just a tech detection tool. It's a complete sales intelligence platform that happens to have solid technographic data built in.
What makes Apollo interesting is the combo. You can find companies using specific technologies, then immediately access their contact data, run email sequences, and track engagement. All in one tool. For indie hackers doing outbound, this "all-in-one" approach means less tool-hopping and fewer integrations to manage.
Apollo lets you filter by technologies used, so you can build lists like "companies using Freshdesk with 100-500 employees in the healthcare industry." Then you get direct access to decision-maker emails and can start your outreach campaign without leaving the platform.
The technographic coverage is decent but not exhaustive. Apollo pulls tech data from multiple sources, so it catches many common business tools. But it's not as deep as dedicated tech detection platforms. Think of it more as "good enough tech data plus everything else you need for sales."
Where Apollo shines: If you're already doing outbound and paying for separate tools for leads, emails, and sequencing, Apollo consolidates everything. The free tier is surprisingly generous. You get 10,000 email credits per month, which is enough to test whether outbound works for you before committing to paid plans.
The catch? The technographic data isn't Apollo's core strength. If you need highly accurate, real-time tech intelligence, a dedicated tool like Bloomberry will serve you better. But if you want "pretty good" tech data wrapped in a full sales platform, Apollo is hard to beat for the price.
Pricing: Free tier available with 10,000 email credits/month. Paid plans start at $49/month.
Apps Run The World takes a completely different approach. Instead of crawling websites, they track enterprise software adoption through job postings, partnerships, and other signals.
This makes them particularly useful for market research. You can see which industries have the highest adoption of specific products, track enterprise software trends over time, and understand market penetration by geography and company size.
For instance, if you're trying to understand the competitive landscape for ERP systems, Apps Run The World shows you adoption rates for SAP vs Oracle vs NetSuite across different company sizes and industries. That's useful context when you're positioning your product or writing sales copy.
Here's a practical use case: Let's say you're building a monday.com competitor. Apps Run The World shows you which industries have the most monday.com customers, which company sizes are most likely to adopt it, and how adoption is trending. That intelligence helps you focus your outreach on the segments where you're most likely to win.
The limitation? Much of their data comes from job postings, which introduces noise. If a company mentions a technology in a job description, they're flagged as a user, even if they're just "nice to have" skills. So treat their counts as directional rather than exact.
Pricing: Plans start around $995/month, which makes this more of an enterprise research tool. But if you're doing serious competitive analysis or market sizing, it's one of the few sources for this type of data.
TechnologyChecker.io takes a different approach from the job-posting tools on this list. Instead of scraping job descriptions, it uses multi-signal fingerprinting — crawling HTTP headers, DNS records, TLS certificates, and executing JavaScript with headless rendering to detect technologies that simpler crawlers miss.
The standout feature is 20 years of historical data across 250M+ domains. That means you can track when a company adopted or dropped a technology going back two decades. For sales teams, this is gold. You can find companies that recently churned from a competitor and are actively evaluating replacements - the same kind of churn signals that make Bloomberry powerful, but approached from the frontend detection side.
What I liked is that TechnologyChecker.io bundles verified contact data directly alongside the tech profiles. You don't need to export a list and then run it through a separate enrichment tool. You get firmographics, decision-maker emails, and role targeting in one view. For teams doing account-based outbound, that eliminates a whole step in the workflow.
Where TechnologyChecker.io works well: You need accurate detection of frontend technologies (CMS, frameworks, analytics, CDNs) with historical context. You want contacts bundled with tech data instead of juggling multiple tools. You care about tracking technology changes over time — installs, removals, migrations.
The catches? Like BuiltWith, it's strongest on technologies that leave client-side footprints. For purely internal tools like Slack, ERPs, or HR platforms that don't touch the frontend, you'll still need something like Bloomberry. The free tier gives you 50 lookups to test the data, which is enough to validate quality before committing.
Pricing: Free plan with 50 lookups. Pro plan at $149/month with up to 10,000 lookups and bulk operations.
Sumble takes a different approach than Builtwith (crawling job postings for technology mentions).
Beyond just flagging companies that mention a technology, Sumble shows you how many teams within a company use a product, total job postings mentioning it, and the date of the most recent posting. That extra context helps you prioritize outreach.
They also have a "People" tab that shows individuals who use specific technologies (presumably pulled from LinkedIn skill mentions). This is useful if you're doing account-based sales and need to identify the right person to contact.
When to choose Sumble: You want richer data per company rather than just "yes, they mentioned it." You care about recency signals (when was the last posting?). You need to find individual users, not just companies. You want a slightly more intuitive UI.
The same limitations apply: Job posting data is inherently noisy. When I searched for companies mentioning "Datadog," one result was a company looking for someone familiar with monitoring tools in general. They weren't actually Datadog customers at all.
Pricing: Free plan available with limited features. Pro plan at $99/month adds full text search, people matching, and AI-drafted outreach emails.
Here's my honest take:
If you're doing serious lead gen for a B2B product: Start with Bloomberry. The ability to find users of backend technologies with real-time adoption/churn signals is a game-changer. Yes, it's $199/month, but if you close even one customer from it, you're ahead.
If you want an all-in-one sales platform: Apollo gives you decent technographics plus email finding, sequencing, and CRM. All in one tool. The free tier is generous enough to test whether outbound works for you.
If you're doing market research or competitive analysis: Apps Run The World has unique data on enterprise software adoption by industry and company size. Pricey, but useful for strategic planning.
If you want job-posting data with more polish: Sumble's enrichment features (team counts, recency signals, people matching) might be worth the upgrade from other cheaper technographic tools.
The truth? Most indie hackers should start with Bloomberry for serious lead gen. Don't pay for massive tech databases until you've proven your outreach actually converts.
Now go find those customers.