PredictLeads Technographics Dataset provides structured data on what technologies companies use, sourced from company websites, job descriptions, DNS records, cookies, and more. Each detection includes first/last seen timestamps and the signals used, so you can track adoption curves, technology migrations, and competitive shifts over time. Available via API, flat files, and webhooks, with an MCP server for AI agents.
Hey Product Hunt — Roq, Co-Founder of PredictLeads here.
We built the PredictLeads Technographics Dataset to make technographics usable as structured data you can trust. Most datasets don’t show when a technology was last seen or exactly how it was detected.
What you get:
- Technology detections sourced from script tags, DNS records, IP ranges, cookies, and job descriptions
- Each detection includes first_seen / last_seen timestamps and the signals used
- Available via API, flat files, and webhooks
- Includes an MCP server so AI agents can query technographics directly
Common use cases:
- Monitor adoption curves over time to spot growing or declining tools
- Compare competing technologies in the same category to understand market shifts
- Track technology migrations (when companies replace one tool with another)
- Build a Fortune 500 watchlist to see what enterprise teams are adopting
Happy to share a sample or help with queries — ask anything.
A lot of teams get burned by false positives and stale installs; what are the main failure modes you’ve seen in technographics, and what concrete mechanisms did you build to reduce them (recrawl cadence, decay rules, customer feedback loops, suppression lists, etc.)?
Every detection comes with clear evidence and an explanation of how it was identified. To keep false positives low, we combine multiple signals rather than relying on just one. Our high-accuracy job openings data (which we already supply to global job boards) is especially helpful for detecting behind-the-firewall technologies.
On top of that, we run programmatic anomaly checks to flag anything suspicious, and we have a dedicated QA team that manually reviews and fixes edge cases.
We also keep a close feedback loop with customers - there’s 24/7 support and direct reporting channels, and anything flagged goes straight back into QA and detection improvements.
Happy to help with any other questions!
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Hi @rxever87@lukaiv_pl ! Thats a very interesting idea, I don’t think I’ve come across anything quite like it. I’d love to hear how it originated. Was it driven by an internal need? And who are you mainly building this for?
It actually wasn’t driven by an internal need. We’re a data provider, and this came directly from what our customers and partners were asking for. We kept seeing a strong demand for reliable technographics, so we built it as a dataset they could plug straight into their workflows.
Our main users today are sales platforms and sales teams using it for targeting, enrichment, and GTM use cases. Interestingly, we also see quite a few tech-focused investment firms using it to track tech adoption and changes across companies.
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Cool project. We use BuiltWith, but it’s just lists of companies on certain technologies, which isn’t enough for us. Can your scanner be customized by parameters? For example, only companies from country X, only outdated Angular 1.x versions, only those with open job positions, etc.?
Our core offering is company-level technology detection - essentially understanding what technologies a company is using (e.g. HubSpot, Marketo, etc.).
On top of that, we enrich each technology with detailed metadata like URLs, categories, descriptions, and even pricing, so teams can actually act on the data rather than just see a tech name. Happy to help with any other questions!
PredictLeads Technographics Dataset
Product Hunt
PredictLeads Technographics Dataset
@curiouskitty Great questions, thank you so much!
Every detection comes with clear evidence and an explanation of how it was identified. To keep false positives low, we combine multiple signals rather than relying on just one. Our high-accuracy job openings data (which we already supply to global job boards) is especially helpful for detecting behind-the-firewall technologies.
On top of that, we run programmatic anomaly checks to flag anything suspicious, and we have a dedicated QA team that manually reviews and fixes edge cases.
We also keep a close feedback loop with customers - there’s 24/7 support and direct reporting channels, and anything flagged goes straight back into QA and detection improvements.
Happy to help with any other questions!
Hi @rxever87 @lukaiv_pl ! Thats a very interesting idea, I don’t think I’ve come across anything quite like it. I’d love to hear how it originated. Was it driven by an internal need? And who are you mainly building this for?
Thanks in advance and congrats on the launch!
PredictLeads Technographics Dataset
@ksenia_sh Thanks a lot!
It actually wasn’t driven by an internal need. We’re a data provider, and this came directly from what our customers and partners were asking for. We kept seeing a strong demand for reliable technographics, so we built it as a dataset they could plug straight into their workflows.
Our main users today are sales platforms and sales teams using it for targeting, enrichment, and GTM use cases. Interestingly, we also see quite a few tech-focused investment firms using it to track tech adoption and changes across companies.
Cool project. We use BuiltWith, but it’s just lists of companies on certain technologies, which isn’t enough for us. Can your scanner be customized by parameters? For example, only companies from country X, only outdated Angular 1.x versions, only those with open job positions, etc.?
PredictLeads Technographics Dataset
Hi@mykyta_semenov_, PredictLeads does allow enriching further by:
Job Openings (which companies are hiring and for what position, job category, location, salary...)
News Events (which companies are expanding offices, launching new products, making new partneships),
Financing events (which companies received what kind of funding)
Key Customers (checking if you have any companies in common)
I guess one could first find companies using a given technology.
And then further filter by above endpoints.
Additionally for some of the above endpoints you can directly search for companies fitting the criteria e.g.:
Discover companies that received funding and are in country X
Discover companies that just made an launched a product and are in country x
Discover companies that are hiring for specific job category in country Y
Currently we cannot yet do discover by multiple of these endpoints at the same time. But only dataset + company location or company size.
Hope this helps, happy to help with any other questions...
Supaboard AI
What's the core offering of your product?
PredictLeads Technographics Dataset
@rishika_sharma9 Hey Rishika, thanks for the question!
Our core offering is company-level technology detection - essentially understanding what technologies a company is using (e.g. HubSpot, Marketo, etc.).
On top of that, we enrich each technology with detailed metadata like URLs, categories, descriptions, and even pricing, so teams can actually act on the data rather than just see a tech name. Happy to help with any other questions!
Scarlett.
Congrats on the launch team! Good luck!
PredictLeads Technographics Dataset
@byalexai Thanks Aleksandar, we appreciate it!