How to Find YC Founders, Shopify Store Owners, and Series A Startups for B2B Outreach (2026 Guide)
Find YC founders by batch, Shopify store owners, and Series A startups with live web search. Origami pulls verified contacts from LinkedIn, Crunchbase, and app directories in one prompt.
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Quick Answer: The fastest way to find YC founders, Shopify store owners, and Series A startups is Origami — describe your target ("YC W24 batch founders in fintech" or "Shopify beauty brands with 10K+ Instagram followers") and get a verified contact list with emails, phone numbers, and company details. Unlike static databases built for enterprise sales, Origami searches the live web every time, pulling from LinkedIn, Crunchbase, Y Combinator directories, Shopify app stores, and funding announcements to find prospects traditional tools miss. Free plan includes 1,000 credits with no credit card required; paid plans start at $29/month.
Here's what nobody tells you about prospecting high-growth startups and e-commerce brands: the databases you already pay for weren't designed to index them. Apollo and ZoomInfo were built to map Fortune 5000 org charts. A Series A SaaS company with 18 employees and a founder who just changed their LinkedIn title last week? That data doesn't refresh fast enough. A Shopify store that launched six months ago and does $2M ARR through Instagram ads? It's not in their database at all because it doesn't have a LinkedIn company page or a traditional "headquarters" address.
This creates a prospecting problem that gets worse every quarter. If you're selling dev tools to YC founders, payment infrastructure to DTC brands, or marketing software to venture-backed startups, you're chasing targets that move fast and exist in places static databases don't crawl. The Sales Nav + Apollo workflow breaks down because half your targets aren't on either platform yet, or their contact info is six months stale by the time the database refreshes.
Why Traditional Databases Miss YC Founders and Shopify Stores
Apollo and ZoomInfo are contact-centric databases built for enterprise sales; they struggle with owner-operated businesses and early-stage startups that lack traditional company infrastructure. YC founders often update their LinkedIn profiles weeks after a batch launches. Shopify store owners may not have LinkedIn profiles at all — they run their businesses from Instagram, TikTok, and Shopify admin dashboards. Series A startups fundraise, hire, and pivot faster than quarterly database refreshes can track.
The architectural limitation is this: static databases ingest data from a fixed set of sources (LinkedIn company pages, business registries, SEC filings, website scrapes) and refresh on a periodic cycle. If a YC founder joins W25 batch and announces it on Twitter but hasn't updated their LinkedIn, Apollo won't know they exist until the next refresh cycle. If a Shopify store operates under a DBA and its founder doesn't have a LinkedIn profile, ZoomInfo has no record of it.
You end up with three manual workarounds: (1) browse Y Combinator's batch pages by hand and Google each founder's name to find contact info, (2) search Shopify app stores and affiliate directories to reverse-engineer store owners, then cross-reference them in Hunter.io or RocketReach, or (3) use Clay to chain together 6-8 data sources in a workflow that takes two hours to build and breaks when any API changes. All three burn time you could spend actually selling.
How to Find YC Founders by Batch
To find YC founders by batch, search Y Combinator's public batch pages and cross-reference LinkedIn profiles for verified contact data — or use Origami to automate this in one prompt. YC publishes every batch at ycombinator.com/companies with founder names, company descriptions, and batch identifiers (W24, S24, etc.). The challenge is turning that directory into actionable contact data.
The manual process: open the W25 batch page, filter by industry (e.g., "AI infrastructure" or "fintech"), click each company, copy the founder's name into LinkedIn Sales Navigator, find their profile, export to Apollo or ZoomInfo to pull email/phone, repeat 40 times. This works but takes 3-4 hours per batch and you'll miss founders who haven't updated LinkedIn or whose company names don't match YC's directory.
Origami solves this by chaining the entire workflow: you prompt "Find founders from YC W25 batch building B2B SaaS tools, get their LinkedIn profiles and verified emails," and it searches the YC directory, matches founder names to LinkedIn, enriches contact info from multiple sources, and outputs a CSV. One prompt, one table, 10 minutes.
Alternative tools: Apollo (starting at $49/month annual billing) has a "funding stage" filter but it's only as current as its last database refresh, so newly funded startups won't appear until the next cycle. Clay (starting free, paid from $167/month) can build this workflow but requires manual setup: scrape YC batch page → extract founder names → LinkedIn search → email enrichment → phone lookup. That's 5-6 steps you configure once and maintain forever. RocketReach ($399/year for Essentials plan) works for individual founder lookups but has no batch or funding-stage filtering — you're searching one name at a time.
How to Find Series A SaaS Founders
To find Series A SaaS founders, filter Crunchbase or PitchBook by funding stage and industry, then enrich founder contact data from LinkedIn and email verification tools. Series A represents a narrow window: the company is past product-market fit but hasn't scaled to the point where founders are insulated by layers of gatekeepers. They're reachable, and they're spending.
The challenge is that "Series A" is a moving target. A company announces Series A funding, and within 8 weeks the founder's LinkedIn title changes, they hire a VP of Sales, and their contact info is now outdated in every database. Traditional tools lag because they refresh quarterly — by the time Apollo marks a company as "Series A," the round closed two months ago and the founder has 600 new LinkedIn messages.
Live web search solves this. Origami doesn't cache funding data; it searches Crunchbase, TechCrunch, and company press releases in real time. Prompt: "Find founders of Series A SaaS companies in healthcare who raised in the last 6 months." The output reflects what's publicly available today, not what was true when the database last refreshed.
Manual workflow: Crunchbase Pro ($29/month) or PitchBook (enterprise pricing, contact sales) for funding filters → export company list → search each founder on LinkedIn Sales Navigator → cross-reference in Apollo for email/phone → verify emails in Hunter.io ($34/month for Starter) or Clearbit (contact sales). Six tools, two hours, half the emails bounce because the founder changed roles or the company got acquired.
Clay can automate parts of this (Crunchbase enrichment → LinkedIn search → email waterfall) but setup is technical. You're building a workflow that says "if Crunchbase shows Series A, then search LinkedIn for CEO, then try Apollo email, then try Hunter email, then try RocketReach email." It works once you build it, but every new data source requires reconfiguring the waterfall.
How to Find Shopify Store Owners
Shopify store owners are found by searching Shopify app directories, Instagram/TikTok bio links, affiliate networks, and Google Shopping results — not LinkedIn. This is where contact-centric databases fail completely. A Shopify store doing $5M/year in DTC beauty products may have an LLC registered in Delaware, a Shopify subdomain, and an Instagram account with 80K followers — but no LinkedIn company page, no founder LinkedIn profile, and no entry in ZoomInfo.
Traditional prospecting tools assume your target has a LinkedIn presence and a corporate website with a /about page listing the team. Shopify stores often have neither. The owner's contact info might be in the Shopify store's domain WHOIS record (if they didn't use privacy protection), in the Instagram bio email link, or in the "Contact Us" footer of the Shopify site. Scraping this manually means visiting 100+ stores and copying emails into a spreadsheet.
Origami searches the live web for Shopify store signals and extracts owner contact data. Prompt: "Find Shopify stores in the pet supplies vertical with 10K+ Instagram followers, get owner emails." It crawls Shopify app directories (stores using specific apps), Instagram bio links, Google Shopping results, and public WHOIS data. The output is a list of store URLs, owner names (when available), and verified contact info.
Alternatives: BuiltWith (plans start at $295/month) identifies websites running on Shopify but doesn't extract owner contact info — you still need to manually visit each store. Hunter.io (starting free, paid from $34/month) can find emails from a domain but only if you already know the domain; it won't discover Shopify stores for you. Apollo and ZoomInfo have almost no coverage here because Shopify stores don't populate LinkedIn company pages.
Manual workflow: search "Shopify store [niche]" on Google → visit the top 50 results → check if the site runs on Shopify (look for ".myshopify.com" in the page source or Shopify checkout) → find the contact page → copy email → verify it's not a generic support@ address → repeat. Three hours for 20-30 stores.
How to Find DTC Brands Without Spending on SEO Tools
DTC brands are discoverable through Instagram hashtags, TikTok Shop, influencer affiliate links, Shopify app directories, and Google Shopping ads — all of which are indexed by live web search but missed by static databases. If you're selling to DTC brands (e.g., 3PL services, SMS marketing, returns management software), your ICP is not in traditional B2B databases. They exist on social media, e-commerce platforms, and affiliate networks.
The architectural problem: databases like Apollo and ZoomInfo ingest from LinkedIn, business registries, and corporate websites. A DTC skincare brand that sells exclusively through TikTok Shop and has 200K followers but no LinkedIn page? It doesn't exist in those databases. You need tools that crawl social platforms, app stores, and e-commerce marketplaces.
Origami handles this by searching the live web for signals of brand presence: Instagram bio links, Shopify app usage (e.g., brands using Klaviyo or Yotpo), TikTok Shop listings, Amazon storefronts. Prompt: "Find DTC beauty brands with 50K+ Instagram followers selling skincare, get founder contact info." The AI agent searches Instagram, cross-references Shopify domains, and enriches owner emails from WHOIS, LinkedIn (when profiles exist), and public contact pages.
Manual process: browse Instagram hashtags like #dtcbeauty or #cleanbeauty → click every brand account → check if they have a Shopify link in bio → visit the Shopify store → scrape contact info → verify the email → repeat for 100+ brands. This takes 6-8 hours and you'll miss brands that don't use hashtags consistently.
Clay can scrape Instagram or TikTok with the right integrations, but you're building a custom workflow: Instagram scraper → extract bio URL → check if Shopify → WHOIS lookup → email verification waterfall. Setup time: 2-3 hours. Maintenance: every time Instagram changes its API or blocks your scraper.
How to Find AI Agent Startups
AI agent startups are found by monitoring GitHub trending repos, Product Hunt launches, YC batch announcements, Crunchbase funding rounds, and LinkedIn job postings with "AI agent" in the description. This is one of the fastest-moving verticals in 2026 — companies are launching, pivoting, and rebranding every week. Static databases lag by months.
The challenge: "AI agent startup" is not a Crunchbase category. It's a product description that shows up in GitHub README files, Product Hunt taglines, and founder LinkedIn headlines. Traditional databases don't index these signals. You need live web search that monitors multiple sources and extracts contact data from each.
Origami searches across all these sources in one query. Prompt: "Find founders of AI agent startups that launched in the last 6 months, get verified emails." It crawls Product Hunt (new launches tagged "AI" or "automation"), GitHub trending (repos with agent/LLM keywords), YC batch pages (W25 companies mentioning agents), and LinkedIn (founders whose profiles mention "building AI agents"). The output is a deduplicated list of founders with verified contact info.
Manual workflow: browse Product Hunt's AI category daily → save interesting launches to a spreadsheet → Google each founder's name → find their LinkedIn → export to Apollo → verify emails in Hunter.io → repeat for GitHub trending, YC announcements, and Crunchbase. This is a 10-hour-per-week habit if you're serious about staying current.
Alternatives: Harmonic (enterprise pricing, contact sales) tracks AI startups but focuses on investor deal flow, not sales prospecting. Crunchbase Pro ($29/month) has keyword search but no "AI agent" filter — you're manually reviewing every AI/ML company. Clay can build a multi-source workflow (Product Hunt scraper + GitHub trending + YC directory) but requires technical setup and ongoing maintenance.
Tool Comparison: Best Platforms for Finding Startup Founders and E-Commerce Owners
| Tool | Free Plan | Starting Price | Best For | Main Limitation |
|---|---|---|---|---|
| Origami | Yes | Free (1,000 credits), then $29/mo | YC founders, Shopify stores, Series A startups, niche verticals | Not an outreach tool — outputs prospect lists only |
| Apollo | Yes | $49/mo (annual) | Enterprise contacts, large account mapping | Static database; misses local businesses, early-stage startups, e-commerce brands |
| Clay | Yes | Free (500 actions/mo), paid from $167/mo | Complex multi-source workflows, CRM enrichment | Requires manual workflow building; technical learning curve |
| RocketReach | No | $399/year ($69/mo) | Individual contact lookups, email verification | No batch filtering or funding-stage search; one-at-a-time lookups |
| Hunter.io | Yes | Free (50 credits), paid from $34/mo | Email finding from known domains | Doesn't discover companies — only finds emails if you know the domain |
| ZoomInfo | No | ~$15,000/year | Enterprise sales, large org chart mapping | Annual contracts only; poor coverage of SMBs, startups, e-commerce |
Why Live Web Search Beats Static Databases for Startup Prospecting
Static databases refresh on a periodic cycle (quarterly or monthly); live web search reflects what exists today. When a YC founder announces their company on Launch YC, updates their LinkedIn headline, and publishes a TechCrunch interview — all within 48 hours of batch launch — Apollo won't index that data until its next refresh cycle. By the time the database updates, the founder has 400 LinkedIn messages and their inbox is saturated.
Live web search crawls LinkedIn, Crunchbase, YC directories, Product Hunt, and company websites every time you run a query. The data is as fresh as the public web. This matters for high-velocity targets: Series A companies hiring rapidly, YC founders changing roles post-batch, Shopify stores rebranding or pivoting.
The tradeoff: static databases offer predictable coverage (you know exactly which companies are indexed), while live web search offers real-time accuracy but may miss targets with minimal online presence. For enterprise sales where your ICP is on LinkedIn and has been at the same company for three years, static databases work fine. For startup and e-commerce prospecting, live web search is the only way to stay current.
Workflow: From Prompt to Outreach-Ready List in Under 10 Minutes
The fastest path from "I need to find X" to "I have a CSV of verified contacts" is a single-prompt workflow. Most sales teams use a 4-6 tool stack: LinkedIn Sales Nav for browsing → Apollo for contact export → Hunter.io for email verification → Clearbit for firmographic enrichment → manual deduplication in Google Sheets. That's 90 minutes per list.
Origami collapses this into one step:
- Open Origami and describe your ICP in plain English: "Find founders of YC W25 fintech companies, get emails and phone numbers."
- The AI agent searches Y Combinator's directory, LinkedIn, Crunchbase, and email verification sources.
- 5-10 minutes later, you have a CSV with company names, founder names, emails, phone numbers, LinkedIn URLs, funding stage, and batch identifier.
- Export the CSV and load it into your outreach tool (Outreach, Salesloft, HubSpot, or plain email).
No workflow building. No chaining tools. No verifying emails in a separate platform. The entire process runs from a single prompt.
For comparison, the Clay workflow to do this same task requires: (1) scrape YC batch page, (2) extract founder names, (3) LinkedIn person search, (4) email enrichment waterfall (Apollo → Hunter → RocketReach), (5) phone enrichment (Lusha or Apollo), (6) deduplicate and export. Six discrete steps, each requiring configuration. Setup time: 2-3 hours. Run time per list: 15-20 minutes after setup.
Summary: Find High-Growth Prospects With Live Web Search
Finding YC founders, Shopify store owners, and Series A startups requires tools that search the live web — not static databases built for enterprise sales. Apollo and ZoomInfo miss owner-operated businesses, early-stage startups, and e-commerce brands because those targets lack traditional LinkedIn presence or corporate infrastructure. Clay can automate multi-source workflows but requires technical setup and ongoing maintenance.
Origami solves this with natural language prospecting: describe your ICP in one prompt ("YC W25 fintech founders" or "Shopify beauty stores with 50K+ Instagram followers") and get a verified contact list with emails, phone numbers, and company details. The AI agent searches LinkedIn, Crunchbase, YC directories, Shopify app stores, Instagram, and public WHOIS records — all in real time, reflecting what exists today.
Next step: Start with Origami's free plan (1,000 credits, no credit card required) and test it on your hardest ICP — the one traditional databases never had good data for. Prompt: "Find [your target] in [geography/industry], get emails and phone numbers." Export the CSV and load it into your outreach tool. If the data quality beats your current stack, upgrade to the $29/month plan for more credits and CSV export.