Orange Slice

What do they actually do

Orange Slice runs AI agents that continuously scan public sources—company websites, news, job postings, press releases, social media, and industry‑specific databases (e.g., court dockets, building permits)—to surface concrete buying signals for B2B sellers. The idea is to find accounts showing signs they’re ready to buy, rather than relying on generic lead lists or static firmographics YC page site.

Teams access a web dashboard via demo or login, define their target accounts and which signals matter, and receive flagged accounts with context and scoring to prioritize outreach site login YC page. Early users are revenue teams at B2B companies across multiple verticals that benefit from industry‑specific triggers (healthcare, legal, proptech, logistics, fintech, etc.) site launch coverage.

Today the product emphasizes signal coverage, reliability, and scoring over outbound automation. Public pages show a dashboard and demo flow; detailed CRM/Slack integration docs aren’t listed yet, so delivery is likely configured during onboarding rather than fully self‑serve site.

Who are their target customer(s)

• SDR/BDR at early-stage B2B companies: They spend hours researching and still contact accounts that aren’t ready to buy, so response and conversion rates are low. They need concrete triggers to focus limited outreach on warm opportunities.
• Account Executive or field seller at mid‑market companies: They lose time and deals by prioritizing the wrong accounts and missing buying windows. They need timely, contextual reasons to reach out that raise conversion per meeting booked.
• Head of Sales / VP Revenue at sales‑led startups: Pipeline is unpredictable and broad outbound yield is low, making scaling expensive. They want higher‑intent pipeline without hiring many more reps.
• RevOps / Sales Ops leader: Signals are noisy and siloed, requiring manual cleanup before scoring or automation. They need trustworthy, structured signals that can flow into CRM workflows and reporting.
• Biz‑dev or growth lead in regulated/vertical markets (e.g., healthcare, legal, proptech): Industry‑specific triggers (HIPAA moves, court dockets, building permits) are hard to track at scale. They need domain‑aware signals surfaced early enough to act.

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

• First 10: Founder‑led, high‑touch pilots: outreach to warm networks and targeted verticals, fast demos, and short onboarding with custom signal tuning; convert trials via hands‑on support and referrals from early users YC page site.
• First 50: Productize winning signal sets into “industry packs,” publish 1–2 brief case studies from pilots, and run targeted outbound (LinkedIn + trigger‑based emails) into those verticals; add a small SDR motion and ask each happy pilot for two referrals YC page.
• First 100: Layer in lightweight self‑serve onboarding and basic CRM/Slack delivery so smaller teams can start without custom pilots; AEs sell larger deals using industry packs and case studies. Launch revops/vertical data partnerships and test one paid channel (e.g., niche newsletters) to reduce founder time site.

What is the rough total addressable market

Top-down context:

Direct intent/buyer‑signal tools are estimated around ~USD 1.2B in 2024, with adjacent sales‑ and revenue‑intelligence markets adding several billion more in overlapping spend intent data estimate sales intelligence revenue intelligence.

Bottom-up calculation:

As a realistic SAM, assume U.S. employer firms (~6M) as the base; if ~5% are B2B with outbound teams (300k) and ~20% are near‑term adopters (60k) paying ~$10k ACV, that implies ~$600M in initial addressable spend, with upside as adoption and ACV grow SBA/Census.

Assumptions:

• Share of employer firms that are B2B with outbound sales teams ≈ 5%.
• Near‑term adoption among those firms ≈ 20%.
• Average contract value for signal/scoring product ≈ USD 10k per year.

Who are some of their notable competitors

• Bombora: Account‑level intent from a publisher data co‑op (Company Surge) used to prioritize ABM lists; focuses on content‑consumption signals rather than custom public‑record triggers like permits or dockets.
• 6sense: ABM/revenue‑intelligence platform combining intent, predictive scoring, and engagement orchestration; broad coverage and models vs. bespoke industry public‑record crawling.
• ZoomInfo (SalesOS): Company/contact data with Scoops and intent (surveys, web activity) and strong CRM delivery; centered on enrichment and web/first‑party research over niche public‑records triggers Scoops.
• G2: First‑party buyer intent from activity on G2’s review/comparison pages; valuable for software vendors but limited to G2 site behavior, not broader public records G2 Buyer Intent.
• Clearbit: Enrichment and Reveal for de‑anonymizing site visitors and routing/personalization; focuses on on‑site and firmographic/technographic signals rather than continuous industry public‑source scanning overview.