- Specialization
- Data Engineering
- Business
Data Provisionand 1 more business valuesLess
- Agent Tooling
- Market
- Cross Industry
- Ecosystem
- Not classified
- Customers
Enterprisesand 1 more customers valuesLess
- Developers
More details
- Organization type
- Commercial Company
- Ecosystem
- Not classified
- Business
- Data Provision, Agent Tooling
- Specialization
- Data Engineering
- Market
- Cross Industry
- Customers
- Enterprises, Developers
- Delivery models
- API
- Revenue models
- Not classified
- Listing status
- Not classified
- Latest equity round
- Not classified
- Reported funding amount
- Not classified
About
Ecliptor builds AI and embedding infrastructure, including a PDF-to-Markdown ingestion API that converts complex documents into structured chunks for retrieval. It targets enterprise B2B sales and GTM teams, differentiating through support for images, tabular data, document understanding, and unified customer-intent data.
Market
Ecliptor competes in the AI-powered go-to-market, product-led growth, and customer-success software market for developer tools. Its differentiation is using machine learning and embeddings to unify signals from sources such as GitHub, LinkedIn, Slack, Discord, documentation visits, and product data, then surface likely product champions and true buying intent.
Ecliptor appears aimed at enterprise developer-tool companies, particularly organizations seeking to convert free-tier or product usage into revenue by identifying and engaging product champions. Its likely buyers are GTM, sales, product marketing, and customer-success teams responsible for developer adoption, intent qualification, and retention.
At a Glance
Problem
Ecliptor addresses a blind spot in product-led growth for developer-tool companies. Traditional sales systems often fail to connect a developer’s activity across the product, GitHub, LinkedIn, Twitter, and other touchpoints, leaving companies unsure who is discovering the product, how engaged those users are, or which accounts are moving toward a purchase. The economic pain is missed enterprise-conversion revenue and wasted sales effort, especially when generic outbound messages are sent to low-intent prospects.
Its clearest use case is converting free-tier or bottoms-up developer adoption into enterprise sales. Ecliptor is designed to identify anonymous or poorly understood users who show strong intent, find the companies and product champions behind that activity, and help sales teams approach them before the opportunity is lost.
Product / Service
Ecliptor is an AI-powered go-to-market platform for enterprise and developer-tool sales. It unifies product-usage data with external identity and interaction data, de-anonymizes developer profiles, analyzes engagement signals, and surfaces high-intent users and companies. The platform is also described as integrating with a CRM so that personalized outreach can be delivered to the right prospect at the right time.
The benefit is a more complete view of the buying journey and a prioritized pipeline of ready-to-buy developer prospects, rather than a list of cold contacts. Ecliptor’s software uses profile and behavioral data to tailor outbound messaging, helping devtool companies focus limited sales capacity on likely product champions and improve free-to-paid or enterprise conversion.
Market
Ecliptor competes in the overlap between AI-powered go-to-market, product-led-growth intelligence, buyer-intent data, customer-success software, and product analytics. Its most direct comparison set includes Apollo.io, 6sense, and Clay, while broader adjacent competitors identified in market databases include Medallia, Adobe, Amplitude, Ultrarev, Tribyl, and Flurry. Ecliptor’s differentiation is its specific focus on developer-tool usage and the conversion of bottoms-up product engagement into enterprise opportunities.
The company was founded in 2023 by Andre Fu and Nanki Grewal, joined Y Combinator’s Winter 2024 batch, and is reported to have raised $500,000 in one seed round. A 2024 profile claims that the product helped clients increase enterprise conversions, but it provides no customer names or quantified results, and the retrieved sources disclose no revenue figure. Traction therefore appears early and limited in public evidence: YC lists Ecliptor as active, but Crunchbase lists it as closed, the founder’s profile shows the Ecliptor role ending in January 2025, and the company website currently displays only a coming-soon message.
Founders & Leadership
Funding History
Y Combinator
Recent News
A directory listing describes Ecliptor as using AI to find product champions and unlock revenue for developer tools. This is the most recent dated mention in the evidence that appears attributable to the Ecliptor startup.
Active Roles
0No active roles right now.
Get notified when they postBusiness Model
Ecliptor appears to use a sales-led B2B SaaS/API model: prospective customers are invited to try document ingestion on their own documents and contact the company to proceed. No public price list or specific revenue terms are disclosed in the available evidence.