The data pipeline of every job posting on the web - one API, one schema, free tier. JobsPipe normalizes live postings from Workday, Greenhouse, Lever, Ashby, iCIMS and 30+ other ATS and job-board sources into one JSON shape, with parsed salaries, cross-source dedup, real-time webhooks and a company tech-stack scanner for GTM, recruiting and data teams. BuiltWith alternatives: 7 tech-detection options compared (2026). BuiltWith is the incumbent for technology profiling - and most people shopping for an alternative were only using one slice of it. Seven options compared by what you were actually buying: lead lists, one-off lookups, an enrichment API, or hiring-based technographics. Dvir Atias Founder, JobsPipe BuiltWith is the incumbent of technology profiling: it has crawled the web for the better part of two decades, tracks tens of thousands of technologies, and its lead-list business - "give me every site running Shopify Plus in Germany" - is the reference product for technology-based sales prospecting. It is genuinely good at coverage and history, and its pricing reflects it: the lead-list plans run hundreds of dollars a month, billed for the whole machine whether you need it or not. That last part is why people search for alternatives. In its experience the searches split into four different buyers: teams that want lead lists, developers that want a lookup API for one domain at a time, people who just want a free one-off check, and sales teams that actually want to know what a company is adopting - which detection from a homepage can only partly answer. Be clear which one you are before you shortlist. Disclosure up front: JobsPipe sells a tech-detection API (the Stack Scan endpoint), so JobsPipe Inc compete in exactly one of the four categories. For lead lists at BuiltWith scale JobsPipe Inc will point you elsewhere. Which alternative fits what you were buying. | You were buying BuiltWith for | Closer-fit alternative | | Lead lists by technology | HG Insights, SimilarTech, ZoomInfo (Datanyze) | | Per-domain lookup API | JobsPipe Stack Scan, Wappalyzer API | | Free one-off checks | WhatRuns, Netcraft site report, browser extensions | | Self-hosted detection | Open-source Wappalyzer forks | | What a company is adopting, not just serving | Hiring-based technographics (job postings) | The options. Wappalyzer is the closest like-for-like: the same fingerprinting idea, sold as a browser extension, lookup tools and a metered API. It has its own trade-offs - the project went closed-source and the API is credit-priced - which JobsPipe Inc cover in a dedicated Wappalyzer alternatives comparison. HG Insights, SimilarTech and Datanyze (ZoomInfo) are the lead-list competitors. If your actual product is a prospect list filtered by installed technology, these are the direct substitutes, priced for sales teams and sold as platforms. HG leans enterprise IT spend intelligence; SimilarTech leans web technologies; Datanyze now lives inside ZoomInfo's suite. WhatRuns and Netcraft cover the free end. WhatRuns is a lightweight extension with a surprising hit rate on modern frameworks; Netcraft's site report is the veteran for hosting, certificates and infrastructure detail on a single domain. JobsPipe Stack Scan is the developer-shaped option: one POST with a domain returns the detected stack - frameworks, analytics, CDNs, payment and SaaS widgets - as JSON with confidence scores and category labels, scanned live and cached about two weeks. Self-serve key, free tier, metered per request like the rest of its API. It scans one domain per call: it is an enrichment primitive for your product or pipeline, not a lead-list factory. The blind spot every homepage scanner shares. Detection - BuiltWith's, Wappalyzer's, ours - sees what a company serves on its public website. It cannot see the data warehouse, the internal tooling, or the platform migration that started last quarter. The public signal for those is hiring: job postings name the technologies a company is actually investing in, often before anything ships. That is a different data layer - technographics from job postings - and pairing a homepage scan with a company's posting history (both of which JobsPipe exposes) answers the question sales teams are really asking: not "what is on their site" but "what are they betting on next". Need tech detection as an API? One POST per domain, free tier, key in 30 seconds. Frequently asked questions. What is the best alternative to BuiltWith? It depends on which part of BuiltWith you were using. For technology-filtered lead lists, HG Insights, SimilarTech and Datanyze (inside ZoomInfo) are the direct competitors. For a per-domain lookup API, JobsPipe Stack Scan and the Wappalyzer API are the developer-shaped options. For free one-off checks, WhatRuns and Netcraft's site report cover most needs, and open-source Wappalyzer forks handle self-hosted detection. Is there a free alternative to BuiltWith? For manual checks, yes: the WhatRuns browser extension and Netcraft's free site report handle single domains well, and open-source fingerprint libraries can be self-hosted without licence fees. For API access, free tiers rather than free products are the norm - JobsPipe's Stack Scan includes free monthly requests on the same key as its jobs API. What can a technology-detection tool not see? Anything not served on the public website: internal tooling, data warehouses, self-hosted software behind the firewall, and migrations in progress. The public signal for those is hiring - job postings name the technologies a company is investing in, often before anything ships. Pairing a homepage scan with a company's job-posting history covers both what is live today and what is being built next. How does JobsPipe Stack Scan compare to BuiltWith? Stack Scan is a per-domain enrichment API: one POST returns the detected technologies as JSON with categories and confidence scores, from a live scan cached about two weeks, on a self-serve key with a free tier. BuiltWith's strength is breadth and history - long-term tracking and lead lists across the whole web - at prices built for sales teams. For enriching domains inside your own product, the API shape wins; for buying prospect lists, BuiltWith's category wins.

Exclusive: HG Insights expands revenue growth intelligence platform with agentic capabilities. HG Insights Inc., a provider of data-driven intelligence and buyer intent signals for business-to-business sales and marketing organizations, today introduced a new platform and agentic infrastructure aimed at addressing what it sees as fundamental gaps in how go-to-market teams use data and artificial intelligence to drive revenue. The company today unveiled its Revenue Growth Intelligence Platform, described as a unified system that brings together technographic data, buyer intent signals, information technology spending intelligence and contact data into a single AI-supported analytical environment. HG Insights is also rolling out an early-access version of Agent Builder, which lets enterprises create custom AI agents that operate across their sales and marketing stacks. The company is positioning its offering as a response to what Chief Executive Rohini Kasturi described as structural limitations in existing go-to-market architectures. At the core of the platform is what the company calls its "Revenue Growth Intelligence Fabric," a large-scale data layer built from nearly 50 petabytes of aggregated and curated third-party information the company has collected over 15 years and refined with AI intelligence into what Kasturi described as a domain-specific model for go-to-market intelligence. That data foundation is intended to address what HG Insights executives characterize as a persistent "data crisis" in sales and marketing organizations. Companies typically rely on multiple vendors for different datasets, resulting in islands of often inconsistent information scattered around the organization. "You source technographic data from this vendor and firmographic data from the other vendor, and the data is fragmented," said Nik Koutsoukos, vice president of product marketing. Guided solution. The RGI Platform attempts to consolidate those inputs into a single system that feeds multiple AI-driven copilots for market analysis, revenue operations and sales execution. Each is designed to guide users through workflows rather than simply present dashboards. The platform's copilot model is an attempt to create a more controlled approach to AI than fully autonomous agents. While agentic processes run in the background, users remain in the loop through guided workflows. "The co-pilots literally guide the user in a step-by-step workflow," Koutsoukos said. "You can see what the co-pilots and the agents are doing." The Agent Builder product leverages Model Context Protocol interfaces, enabling customers to integrate proprietary data and workflows with HG's intelligence layer. Kasturi described Agent Builder as a natural extension of the platform's architecture. "If you use our MCP server on top of our fabric, customers can build custom agents that are fully autonomous," he said. HG Insights said a key differentiator is the depth and structure of its data. Its taxonomy assigns a unique identifier to each entity in its dataset, enabling disparate data points such as technology usage, spending patterns and buyer intent to be consolidated into a unified profile. Kasturi said that makes it possible for the system to alert a salesperson to churn risk based on multiple signals, such as a key contact leaving a customer company or evaluating competing products. Outcome-based pricing. The company is also shifting its business model to align with this AI-driven approach. Pricing is now based on a consumption model tied to data usage rather than traditional licensing. Pricing is consumption-based with an annual subscription buying a certain number of credits. Katsuri said HG Insights is framing the platform as part of a broader transition in enterprise AI from efficiency gains to revenue generation. Rather than focusing on cost reduction, the company is emphasizing measurable business outcomes such as pipeline growth and conversion rates. "We don't want to solve the efficiency problem," he said. "Efficiency should be a natural benefit. We want to tie it to the revenue growth and the retention problem that every customer has." HG Insights is also looking to expand beyond its traditional base in B2B technology firms. While the company boasts of serving 90% of Fortune 500 tech companies, executives said the new platform's broader data coverage and AI capabilities make it applicable across a wider range of industries. Image: HG Insights. A message from John Furrier, co-founder of SiliconANGLE: Support its mission to keep content open and free by engaging with theCUBE community. Join theCUBE's Alumni Trust Network, where technology leaders connect, share intelligence and create opportunities. * 15M+ viewers of theCUBE videos, powering conversations across AI, cloud, cybersecurity and more * 11.4k+ theCUBE alumni - Connect with more than 11,400 tech and business leaders shaping the future through a unique trusted-based network. About SiliconANGLE Media SiliconANGLE Media is a recognized leader in digital media innovation, uniting breakthrough technology, strategic insights and real-time audience engagement. As the parent company of SiliconANGLE, theCUBE Network, theCUBE Research, CUBE365, theCUBE AI and theCUBE SuperStudios - with flagship locations in Silicon Valley and the New York Stock Exchange - SiliconANGLE Media operates at the intersection of media, technology and AI. Founded by tech visionaries John Furrier and Dave Vellante, SiliconANGLE Media has built a dynamic ecosystem of industry-leading digital media brands that reach 15+ million elite tech professionals. Its new proprietary theCUBE AI Video Cloud is breaking ground in audience interaction, leveraging theCUBEai.com neural network to help technology companies make data-driven decisions and stay at the forefront of industry conversations.

HG Insights has launched its Revenue Growth Intelligence Platform, the first unified platform combining technographic, buyer intent, IT spend and contact intelligence in a single AI-driven experience. The company also introduced RGI Agent Builder, an agentic infrastructure for enterprise go-to-market teams, now available in early preview. The platform features three AI copilots: Market Analyzer for identifying market opportunities, Data Studio for lead scoring and prioritisation, and Sales Copilot for automating account research. Built on HG Insights' RGI Fabric, the system integrates first- and third-party data to enable precise targeting and execution. The platform now includes contact intelligence, allowing organisations to identify and source contacts directly within workflows. RGI Agent Builder enables custom AI agents using Model Context Protocol tools, connecting with platforms like Microsoft Copilot and Salesforce Agentforce.