Ecliptor

What do they actually do

Ecliptor’s public product footprint today is a live demo that ingests PDFs (via UI or API), parses text, headings, tables, and images, converts the result to structured Markdown, and splits it into chunks suitable for embeddings and retrieval workflows demo. The output is intended to be indexed by customers for search or Q&A use cases.

Their main website currently shows “Coming Soon,” and there’s no public pricing, docs, or customer list; the demo invites direct contact for access. YC lists Ecliptor as a W24 company with a two‑person founding team and the one‑liner “AI and Embeddings” site yc. Public posts also position Ecliptor as building an AI GTM/sales platform for developer‑tools companies, but that broader platform isn’t publicly shipped; the concrete, hands‑on artifact available today is the document‑ingest demo li extruct.

Who are their target customer(s)

• Heads of Sales or GTM at developer‑tools companies: Developer intent signals are scattered across GitHub, docs, Slack/Discord, and social, making it hard to find and prioritize high‑intent leads li.
• Early‑stage devtools founders or solo sales reps: Limited headcount and tooling make it difficult to convert product interactions (docs reads, repo activity) into identified, scored prospects for targeted outreach extruct li.
• Documentation or knowledge‑management owners: They have PDFs and attachments that are hard to parse, search, and reuse for support or onboarding. The PDF→Markdown + chunking demo directly addresses this by producing embedding‑ready content demo.
• Customer success or enterprise sales reps at mid‑market devtools vendors: Anonymous visitor activity and fragmented identities make prioritization guesswork; identity resolution and intent scoring would help surface high‑value targets extruct li.
• Developer community or growth marketers: They struggle to extract personalized content and signals from docs/community posts at scale. The PDF→Markdown/embedding workflow can power more tailored outreach from existing materials demo.

How would they acquire their first 10, 50, and 100 customers

• First 10: Hand‑sell pilots to YC connections and early‑stage devtools/documentation owners by running one of their PDFs/READMEs through the demo, delivering a small searchable index, and offering a 2–4 week pilot with white‑glove support to secure feedback and testimonials demo yc.
• First 50: Automate a “your docs indexed” sample workflow (crawl docs/repos, ingest, and produce a short output) and use it in targeted outreach to heads of sales/CS/growth; run workshops and how‑to posts in Slack/Discord/GitHub communities to convert interest into trials demo li extruct.
• First 100: Launch self‑serve onboarding (free test tier, paid for higher volume), add GitHub/Slack/CRM integrations, publish 3–4 case studies from pilots, and scale via one SDR/partnerships lead plus listings and targeted paid channels demo yc extruct.

What is the rough total addressable market

Top-down context:

Ecliptor sits between sales intelligence/intent for B2B (~$3.3B mid‑2020s) and knowledge/document/search software (overlapping segments: knowledge management ~$20.1B, DMS ~$7.7B, enterprise search ~$6.1B) sales intelligence KM DMS enterprise search.

Bottom-up calculation:

If Ecliptor initially targets 3,000–5,000 devtools/SaaS teams for intent scoring at ~$15k–$30k ACV and 15,000–25,000 orgs for doc ingest/search at ~$5k–$15k ACV (with partial overlap), the implied near‑term reachable spend is roughly $300M–$900M; the broader top‑down TAM across both categories is on the order of $10B–$25B when accounting for overlap [sources above].

Assumptions:

• Devtools/SaaS teams with active docs and developer communities number in the low thousands; mid‑market/enterprise orgs needing document ingest/search number in the tens of thousands.
• Representative ACVs: $15k–$30k for intent/sales intelligence; $5k–$15k for document ingest/search, reflecting early, component‑level adoption.
• Significant buyer overlap exists between knowledge/document management and enterprise search; figures are not simply additive.

Who are some of their notable competitors

• Common Room: Community‑led GTM platform used by devtools teams; aggregates signals from sources like Slack, Discord, GitHub, and product data to identify and engage high‑intent users.
• ZoomInfo: Broad B2B sales intelligence and intent data provider; used by sales teams to find and prioritize prospects.
• 6sense: Account‑based orchestration and intent platform that scores buying signals and helps sales/marketing prioritize outreach.
• Unstructured: Open‑source library and API for parsing documents (PDFs, images, HTML, etc.) into structured elements for LLM/RAG pipelines—overlaps with Ecliptor’s ingest use case.
• LlamaIndex (LlamaParse): Framework and tools for RAG; LlamaParse converts complex PDFs into structured outputs and supports chunking/ingestion for retrieval workflows.