No1. Product of the Day on ProductHunt! Huge thanks to our community for making this happen! https://lnkd.in/enHt9unu From qualified leads to warm intros, Lev8 searches the entire open web in real time to connect you with who matters, when it matters. This is just the beginning.
lev8
Business Intelligence Platforms
Built for founders, investors, and lean sales teams who value precision over volume.
About us
Whether you're hiring, prospecting, or researching markets, lev8 helps you instantly find and reach the right talent, leads, or partners.
- Website
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https://lev8.com/
External link for lev8
- Industry
- Business Intelligence Platforms
- Company size
- 11-50 employees
- Type
- Self-Owned
Employees at lev8
Updates
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lev8 reposted this
More and more companies are shifting from Clay to AI GTM copilots 🫣 Let me show you one of them - lev8, especially efficient for building targeted hypotheses based on specific signals or scenarios. It’s where traditional databases usually fall short. Usually, these are companies showing a specific combination of buying signals or narrow segments that can’t be identified using standard filters. Building these lists typically requires researching companies one by one, enriching the data, scoring prospects, and preparing outreach (hours in Clay). In the video below, I show how we built one of these targeted lists in about 15 minutes using Lev8. ICP, persona, offer - and we have a list with contacts, emails, and 1:1 personalized messages. You can also schedule these workflows to run weekly, continuously discovering new prospects that match your criteria. From there, you can either export the data into Clay (which is what I usually do) or execute outreach directly via LinkedIn, email, WhatsApp, or Instagram from within the platform. We’re currently exploring partnership opportunities with Lev8, and I think it’s a great fit for building targeted outbound hypotheses much faster. Looks like LinkedIn no longer supports longer videos, so here’s the short version. I’ll add the full workflow with all the details in the comments, along with a special link for 600 free credits if you’d like to try it.
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Lev8, your agentic people & business intelligence, is live on Product Hunt! Say goodbye to static databases. Meet your AI people connection agent for live web search, deep enrichment, and personalized outreach. We'd love your support and feedback! Check here to explore: https://lnkd.in/enHt9unu
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Cold emailing just got a lot easier to personalize. Every prospect now comes with context-native messaging. Instead of staring at blank screens or editing stale templates, you can: → Pull deep source insights automatically (from GitHub, forums, & niche web) → Decode the buyer's 360° profile and history in seconds → Generate highly tailored, signal-based icebreakers instantly Less time drafting. More time scaling human-grade outreach that actually gets replies.
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Exciting Update: Instagram is now officially an outbound channel on Lev8! In today's market, multi-channel outreach is no longer optional—it's essential. You can now seamlessly combine Email + LinkedIn + Instagram DM into a single, optimized sequencing workflow, complete with real-time tracking and unified inbox management. Stop limiting your reach. Maximize your touchpoints and amplify your response rates with Lev8. #OutboundMarketing #B2BSales #MultiChannel #SaaS
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Excited to share our latest milestone at Lev8! Check out our official blog to see how we’re pushing the boundaries of AI research and automation. 👇 https://lnkd.in/g-xPHUJp
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lev8 reposted this
I built a qualified list of 80+ DTC brands ready for email help — in 90 seconds. I've sent over a billion emails. The hardest part was never the copy. Last week I tried lev8 — an AI GTM agent that just launched. I typed one prompt. "Find DTC ecommerce brands ($5M–$50M, US-based) that recently raised funding or launched a new product line. Find their Head of Email or CMO — verified email, LinkedIn. Score each by how likely they are to need email help right now, with a one-line reason." What came back in under 2 minutes: → Fully enriched contact table — name, role, verified email, LinkedIn URL → Intent signals —new product launches, channel expansions, website relaunches or rebrands → Opportunity score per contact with a one-line rationale → Personalized first-line outreach built from their actual recent activity → Auto-synced to Google Sheets. No export. No copy-paste. The part that got me: it doesn't just find whom to contact. It tells you why right now — then writes the first line around that signal. A brand that just launched a new product and hasn't touched their welcome flow? That's not a cold pitch anymore. That's a layup. It's not Clay. It's not Apollo. It does all three in one prompt — and syncs into whatever stack you're already using. Wrote this post, found the list, and sent the first batch — all without leaving lev8. Still early. But the output is real. Try the prompt yourself → https://lnkd.in/gC_dumh3
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In the past 3 months, I've been running #outreach for local service businesses — med spas, gyms, salons, that kind of thing. Today, my clients are generating 100 qualified leads a week. Better quality than any paid database they'd tried before. Here's the exact system I use. Here's the 7 step breakdown: 1/7 — Lead sourcing starts on IG: filter by post frequency, recency, and engagement rate — not follower count 2/7 — TAM scoped to local service businesses first: med spas, gyms, salons — high intent, low competition, fast sales cycle 3/7 — Email verification runs three layers deep: MX record → SMTP handshake → catch-all detection before anything hits the export 4/7 — Meta Ad Library cross-check on every account: if they're already spending on ads, the conversation is channel, not concept 5/7 — Account tiering by signal strength: Tier 1 gets personalized outreach, Tier 2 gets sequenced, Tier 3 gets volume plays 6/7 — Contact enrichment via waterfall: IG contact button → domain lookup → #enrichment tool — first valid address wins 7/7 — Scoring layer built on top: activity signal + email confidence + ad spend = ranked export ready to work The loop feeds back to step 1. Better inputs. Same effort. Completely different output.
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How do you actually find and target local businesses with real intent signals — not just static lists? So I built a platform for it that my teammates use. I deep search across all public domain data with Waterfall Data #Enrichment — three layers of filtering — and layer on an AI smart search column so you can query things like: "businesses likely doing $2M–$10M revenue" "currently hiring" "running paid ads" "using specific tools / tech" I'm basically meant to replace guesswork with actual signal and intent.