Coresignal Data Search: A 10-Year Veteran "Water Seller" in B2B Data

2026-03-13 | ProductHunt | Official Website

Interface Breakdown: This is the Coresignal user console homepage. The left navigation bar is divided into APIs, Tools, and Resources. The most prominent feature is the newly launched AI Data Assistant (Beta), which supports natural language searches for business data. The top right shows credit balances (Collect credits + Search credits), indicating a pay-as-you-go model. Notably, it has already integrated MCP (Model Context Protocol), allowing direct connection to AI editors like Cursor.

30-Second Quick Take

What is this?: It organizes company info, employee profiles, and job postings scattered across the internet into structured data, then sells it via API to businesses needing commercial intelligence. Simply put, it's a "data broker" for the B2B world.

Is it worth your attention?: If you aren't a developer or PM building sales tools, HR tech, or investment analysis products, it probably doesn't concern you. This is an infrastructure-level product for a niche field, targeting enterprise clients rather than individuals. The 32 votes on PH confirm this—it's not a mass-market product.

Three Questions: Is This for Me?

Does it relate to me?

Who is the target user?:

• Teams building SaaS sales tools (needing company data to enrich CRMs)
• HR tech companies (needing talent profile data)
• Investment firms (needing to track company growth signals)
• Market research teams (needing competitive intelligence)

Am I one?: If you are building a product that requires massive amounts of B2B company/people data, you are the target user. If you just want to look up a specific company, LinkedIn is enough.

When would I use it?:

• Building an AI SDR (Automated Sales Agent) → You need Coresignal's company + employee data for lead filtering.
• Building a recruitment platform → You need talent movement data to see who is looking for opportunities.
• Building an investment analysis tool → You need signals on hiring, funding, and tech stack changes.
• Just checking a company's background → You don't need this; use LinkedIn or Crunchbase.

Is it useful to me?

ROI Judgment: If your product's core depends on B2B data and you have an engineering team to handle data cleaning, it's worth trying the free tier (200 Collect + 400 Search). However, if you need real-time data (e.g., an AI SDR needing the latest job postings), Coresignal's 3-4 month lag is a deal-breaker—check out Crustdata instead.

Is it actually good?

The "Wow" Factor:

• Massive Volume: 839M professional profiles + 75M company records; the coverage is truly extensive.
• New AI Search: Describe the data you want in natural language, and the AI generates a structured list. This experience is much better than traditional API queries.
• MCP Integration: Calling data directly within Cursor provides a great developer experience.

Real User Feedback:

Positive: "Coresignal's huge and well maintained datasets outweigh the sometimes unpolished user experience." — Proxyway

Negative: "has potential, but my experience was pretty underwhelming. The data I received was often outdated and not very useful." — Crustdata Blog

Negative: "Customer support took ages to respond, which was frustrating. I expected more for the price I paid." — Slashdot Reviews

For Indie Developers

Tech Stack

• API: RESTful, Bearer Token authentication, Base URL https://api.coresignal.com/cdapi/v2/
• Data Formats: JSON, CSV, Parquet, JSONL
• API Types: Company API, Employee API, Jobs API
• Data Tiers: Base (Raw) → Clean (Standardized) → Multi-source (Fused)
• Integration: Supports dlt pipelines; can connect to Power BI / Tableau / BigQuery / AWS S3
• New Feature: MCP integration (supports direct calls from AI editors like Cursor)

Core Implementation

Coresignal is essentially a combination of large-scale web scraping + data cleaning + API services. It continuously crawls data from 15-20 public sources (mainly professional social networks, company info sites, and job boards). After deduplication, standardization, and multi-source merging, it provides the data via RESTful APIs. The new AI Data Assistant adds a natural language query layer on top, where AI generates structured lists based on user requirements. 500+ data fields cover company revenue, tech stacks, funding, and team changes.

Diagram Breakdown: Shows how Coresignal data combines with CRM data, using an AI Agent to automatically filter high-intent leads and generate personalized outreach. This is one of its core use cases.

Open Source Status

• Is it open source?: No, it is a fully closed-source commercial product.
• Similar Open Source Projects: No direct open-source equivalent. The closest is building your own crawler (Scrapy + data cleaning pipeline), but maintenance costs are extremely high.
• Difficulty to build yourself: Extremely high. Data scraping + cleaning + updating requires a dedicated team. Coresignal's 70+ people took 10 years to reach this scale. A 5-10 person team would likely take 2-3 years to build a usable version.

Business Model

• Monetization: Credit-based system + SaaS subscription
• Pricing:
  • Free Trial: 200 Collect + 400 Search credits
  • Basic: $49/month
  • Pro: $800/month
  • Enterprise: Custom pricing
• Annual Revenue: $5.7M (per GetLatka)
• Customer Count: 700+

Big Tech Risks

This is an interesting space. ZoomInfo is already a public company with $1.25B in revenue, and LinkedIn itself sells similar data. Coresignal's survival space lies in:

1. Positioning Difference: ZoomInfo is an all-in-one GTM platform; Coresignal focuses on data APIs, making it better for technical teams needing raw data.
2. Price Difference: ZoomInfo's enterprise plans can cost tens of thousands of dollars; Coresignal starts at $49/month.
3. Risk: If LinkedIn restricts scraping more strictly, or if giants like Google or Microsoft launch similar APIs, Coresignal's moat will weaken.

For Product Managers

Pain Point Analysis

• What problem does it solve?: Businesses need cross-platform structured business data; manual organization is expensive and slow.
• How painful is it?: It's a must-have for sales teams and investment firms—without data, you can't do precision marketing or investment analysis. However, the pain point is often "data freshness" rather than "data availability."

User Persona

• Core User: Tech teams building B2B SaaS (needing data to enrich products).
• Secondary User: VC/PE investment analysis teams (needing to track company signals).
• Use Cases: CRM enrichment, competitive intelligence, recruitment market analysis, investment due diligence.

Feature Breakdown

Competitive Comparison

Key Takeaways

1. AI Search Layer: Adding natural language queries on top of traditional APIs significantly lowers the barrier to entry—any data product can learn from this.
2. MCP Integration: Follow AI development tool trends to let developers call data directly within their IDE.
3. Three-Tier Data Product: Base → Clean → Multi-source satisfies different customer needs.
4. EWDCI Certification: Using ethical certification to build trust is smart in a data-privacy-sensitive market.

For Tech Bloggers

Team Story

• Company: Founded in 2016 in Lithuania, headquartered in New York.
• Core Team: Karolis Didziulis (Head of Product), Laurynas Gruzinskas (Product Lead).
• Background: Team comes from big data, lead generation, and e-commerce.
• Path: From pure data supplier → adding AI search, attempting to upgrade from "selling raw materials" to "selling semi-finished products."
• Funding: Completely bootstrapped, $5.7M annual revenue, never took a cent of VC money.

Controversies / Discussion Angles

• Angle 1: The Gray Area of Data Ethics: Coresignal claims to only scrape public data, but 839 million professional profiles are being commercialized. Do the individuals know? Does EWDCI certification make it "right"?
• Angle 2: Does AI make data brokers more valuable or obsolete?: Traditionally, Coresignal sells raw data for customers to process. But now AI Agents can scrape and analyze directly—is a middleman still needed?
• Angle 3: Niche & Steady vs. Risk: $5.7M revenue, bootstrapped, 10-year history—is this a model for a "small and beautiful" business, or a signal of stagnant growth?

Hype Data

• PH Ranking: 32 votes (very low)
• Twitter: @CoresignalHQ, only 197 followers (almost no community)
• VerifyPilot Rating: 2.3/5.0 (concerning user satisfaction)
• Highlight: Datarade 2023 Best Data Provider of the Year.

Content Suggestions

• Angle to Write: "The B2B Data Survival Game: Is AI a savior or a gravedigger?"—using Coresignal as a case study.
• Trend Opportunity: MCP Integration + AI Agent trends; write about "How data products embrace the AI era."

For Early Adopters

Pricing Analysis

Onboarding Guide

• Time to Start: 30 minutes (Register → Get API Key → Run first query).
• Learning Curve: Medium (API docs are complete, but data preprocessing requires engineering skills).
• Steps:
  1. Register for a free account to get 200 Collect + 400 Search credits.
  2. Get your API Key from the console.
  3. Try the AI Data Assistant (the easiest way to start; describe your needs in natural language).
  4. Or call the RESTful API directly: GET https://api.coresignal.com/cdapi/v2/company_base/search.

Pitfalls and Complaints

1. Severe Data Lag: Standard datasets update monthly, but the actual perceived lag is 3-4 months. If you need to track the latest executive changes or funding news, your competitors will have acted long before you get the data.
2. Heavy Preprocessing Burden: Although the data is "structured," it lacks field mapping documentation, making normalization a lot of work.
3. Clunky Interface: Multiple users complain that the UI is "clunky" and not beginner-friendly.
4. Slow Support: Don't expect quick resolutions to problems.
5. Missing Contact Info: It doesn't provide phone numbers or emails; for sales outreach, you'll need to pair it with Kaspr or Apollo.
6. Volume Fluctuations: Some users report that data volume drops significantly at times, affecting business stability.

Security and Privacy

• Data Storage: Cloud (Coresignal servers).
• Compliance: GDPR + CCPA compliant.
• Certification: Founding member of EWDCI (Ethical Web Data Collection Initiative).
• Collection Scope: Only public data; no login to protected areas; no collection of sensitive info like SSNs or phone numbers.
• Data Retention: Up to 5 years.

Alternatives

For Investors

Market Analysis

• Sector Size: Core B2B sales/marketing data market is $5-8B, with a 12-25% CAGR.
• Fastest Growing Sub-sector: Intent Data, $1.2B → $4.8B (2032), 25%+ CAGR.
• Industry Leader: ZoomInfo FY2025 revenue $1.25B, FY2026 expected to be flat.
• Drivers: AI Agent explosion driving data demand, enterprise digital transformation, sales automation.

Competitive Landscape

No single player holds more than 15% market share, but ZoomInfo's dominance is clear.

Timing Analysis

• Why now?: AI Agents need massive structured data; Coresignal's AI Data Assistant and MCP integration hit this perfectly.
• Tech Maturity: Scraping and cleaning tech has been mature for 10+ years; the AI layer is the new differentiator.
• Market Readiness: The market has been well-educated by ZoomInfo, but SMBs still lack affordable options.

Team Background

• Core Team: 70+ people (another source says 17 core members), started in Lithuania.
• Key Figures: Karolis Didziulis (Head of Product), Laurynas Gruzinskas (Product Lead).
• Experience: Big data + lead generation + e-commerce background.

Funding Status

• Funding: $0 — Completely Bootstrapped.
• Annual Revenue: $5.7M.
• Valuation: Not disclosed.
• Investors: No external investors.
• Analysis: Bootstrapping to $5.7M over 10 years shows the model works but growth isn't explosive. As an investment target, the key is whether AI features can accelerate growth. At a 10x ARR multiple, a reasonable valuation would be around $50-60M.

Conclusion

Coresignal is a "small and steady" B2B data broker—bootstrapped to $5.7M over 10 years. While its volume is massive, freshness is questionable. The new AI search is a highlight, but it's unclear if it can turn the tide.

Resource Links

2026-03-13 | Trend-Tracker v7.3