Lusha is the B2B data and sales intelligence system trusted by 1.5M+ teams to find contacts, enrich records, and track real-world buying signals.

Worldwide
Joined March 2016
Technical moats are mostly over at this point. If you’re building something that is meant to be durable, the only moats now are: • Proprietary data • Network effects • A physical component
1,149
2,082
896
25,752
3,292,424
ad concept for @LushaData (B2B contact database)
1
1
1
55
Lusha retweeted
Join us for an evening of short, no-fluff demos with sales operators from Attio, @clay , and @LushaData. We’ll share the workflows behind our own sales motions: what we’ve built, and what moved once it was running every week. You'll leave with tactics you can build the next morning. September 29, London HQ. Register here: attio.xyz/clay-lusha
6
5
20
3,142
I just built an entire outbound campaign end to end in Claude Code. It handles sourcing companies, flagging buying signals, scoring accounts, finding contacts, and verifying emails. With Lusha's API powering nearly the whole workflow. Then I generated copy, launched the campaign, and synced everything back to the CRM. Here's the workflow: 1. SOURCE COMPANIES → Described my ICP in plain English → Lusha's API pulled every matching company: industry, size, region, revenue → No manual filtering, no exporting from three tabs → Output: a clean list of accounts that actually fit Your list stops being a guess and starts being a match. 2. BUYING SIGNALS → Lusha checked each account for live intent data → Flagged accounts showing real activity around what we sell → I knew who was warm before writing a single line → Timing built into the list, not bolted on after The right account at the wrong time still says no. This fixes the timing. 3. SCORE → Claude wrote the scoring logic once: fit plus intent → Every account scored and tiered automatically → Tier 1, tier 2, tier 3, the rest set aside → Clear rules, no AI guessing Write the rules once and every future list scores itself. 4. SOURCE CONTACTS → Prompt: "find decision makers at every tier 1 and tier 2 account" → Lusha returned the actual buyers, with direct dials → Seniority, title, and role attached → Straight to CSV, ready to enrich The same work you do across Sales Nav and a data tool, from one call. 5. ENRICH + VERIFY → Verified emails and direct dials in one pass → No waterfall across three providers → 95%+ accuracy, GDPR and CCPA compliant → Coverage I could trust before sending One verified pass beats a five-tool waterfall you have to babysit. 6. COPY → Claude pulled our copy framework with the winning templates → Matched the framework to the campaign type → Wrote the full sequence with personalization tokens → First name, company, signature, formatted for the sending tool Your best copy lives in the project and gets used every time, not lost in Google Docs. OUTCOME: → Campaign live in Lemlist (Instantly works the same way) → Every contact synced back to the CRM (HubSpot or Salesforce) → Sourcing, signals, scoring, enrichment, copy, campaign — one session The real unlocks for me: → Lusha's API is the data backbone the whole workflow runs on → One verified pass instead of stitching tools together → Signals mean I reach out at the right time, not just the right title → Everything lands in the CRM, nothing stranded in a spreadsheet It replaced: → Manual list building in Apollo → Stitching three enrichment tools into a waterfall → Guessing on timing with no signal data → Exporting and importing between four tabs to get one campaign live Lusha has a free plan, so you can wire up the first version without paying anything. P.S. What part of your outbound build eats the most time right now? Activate to view larger image
3
1
14
607
Replying to @darshal_ @LushaData
This is so true! Bad data is the enemy. Glad to see Lusha is focusing on quality here.
1
1
22
Recently, we built a workflow for a client that saves them 20+ hours every week. The stack: Slack → Lusha → Smartlead → ClickUp → Slack They send a brand name on Slack. Lusha finds the right people → Smartlead handles the outreach + follow-ups → ClickUp gets updated → everything comes back to Slack. What used to mean hours of prospecting, data entry and follow-ups now starts with one message. 20+ hours saved every week. More outreach happening. More opportunities being created. And this is exactly why we like custom workflows. You don't always need another tool. Sometimes you need the tools you already use to work together.
1
1
2
219
Replying to @darshal_ @LushaData
Data quality used to be a sales ops problem. With agents making decisions automatically, it becomes an AI problem too
1
1
95
Your AI agent might be brilliant. But if you're feeding it rubbish data? Congrats. You've built a very expensive machine for making bad decisions faster. And I think this is the bit we're massively overlooking in the AI agent hype. Everyone is obsessed with: → smarter agents → better prompts → more automations → bigger AI stacks But none of that fixes bad data. An AI agent still needs to know: Who should I target? Which account actually matters? What signals should I pay attention to? Who is worth prioritizing right now? That's where Lusha is getting interesting. Instead of treating B2B data like one massive contact list, it's building two layers for agentic GTM. Lusha Search gives agents access to 300M+ profiles, 40M+ companies, verified contacts, firmographics, real-time business signals and enrichment. It can also work through API, MCP, Claude, ChatGPT, n8n, Clay and Make. Then there's Lusha Deep Intel. This is where it gets a bit clever. It learns from your ICP, customers, closed-won deals and patterns, then scores and prioritizes leads using ICP fit, signal strength and business context. So instead of your AI basically going: "Here are 10,000 people. Good luck xx." It can actually start understanding who deserves attention. And that opens up much better workflows: → finding net-new prospects conversationally → generating scored and ranked lookalike leads → using job changes and growth signals to trigger enrichment, CRM updates and outreach drafts That's the shift I think matters. We're moving from: AI + a giant database to: AI + verified data + context + signals Because the smartest agent in the world is still only as good as what you feed it.
🤝 Paid partnership
50
66
236
74,008
We are going back to the 1990's with B2B sales right now. I can't be the only one seeing the shift where people are starting to get annoyed with the AI slop messages and buyers are carving real connection with sellers that they can trust. Which is leading back to the 90's when it was all about trust building and shaking hands in the person. How it used to be: - Spray and pray - Make 200 calls a day - Pitch and connect - Automate emails - Spam InMails Where it is going: - Face to face meetings - Going to more events - Creative outbound strategies - Handwritten notes - Direct mail The faster as a leader you can adopt the direction we are going within the marketplace the faster you will be able to execute
47
12
8
271
18,489
LLMs need to be better at telling you that your ideas are stupid. Model sycophancy is going to become a national emergency.
3
3
56
10,688
Lusha retweeted
Using Claude right now as a founder is absolutely unbelievable. I connected it to Lusha, it build me a distribution list. I called each one, got 20 clients. It then drafted everything I need, was connected to documents, built the product, and helped me distribute everything. All I had to do is review some code, be a good sales person, and viola.
1
1
2
183
Most GTM teams still build lists manually. The ones winning right now? Agents do it for them. The gap is opening fast. Here's how the best teams are doing it: Lusha dropped 3 agentic workflows. Here's exactly what they do: 01 — Account Based Prospecting → Type your ICP in plain English → Lusha builds a net-new list instantly → CRM deduplication runs automatically → Existing contacts filtered out → Zero burned credits → Zero manual cross-referencing 02 — AI Lead Generation → Deep Intel learns from your closed-won deals → Finds lookalike buyer patterns → 10,000 scored leads delivered every morning → Every lead ranked by ICP fit → Every lead has a reason why it surfaced → No list building → No ops request → No manual work → Just: here's who to call today 03 — Signal-Based Outreach → Job change fires → Hiring surge fires → Funding round fires → Lusha enriches the contact automatically → CRM updates in real time → Outreach draft writes itself → You just hit send Tools it runs on: → Lusha API → N8N → Claude → Clay → Make → ChatGPT → MCP The numbers behind it: → 300M+ verified contacts → 10,000 scored leads daily → 50% lookalike accuracy improvement → 1.2B+ data points verified every 24 hours → GDPR and CCPA compliant This is what agentic GTM actually looks like. Not theory. Not a slide deck. Live workflows your team can run next week. The teams getting the data layer right now are opening a gap their competitors won't close easily. Save this. Share it with your GTM team. Try now : partnerstack.lusha.com/Darsh… Lusha | #Evolusha2026 #LushaPartner
🤝 Paid partnership · 🤖 Made with AI
92
43
196
54,202
The salesperson could catch a bad record. The agent just acts on it. A thousand times before anyone notices. We sat down with @yonitseru, co-founder & CEO at @LushaData, and the conversation went deep on what changes when agents become the primary consumer of your data. Main insights in the new edition of The Intelligence Engine: linkedin.com/pulse/your-data…
3
2
76
Want more customers? Start with better data. Today's School for Startups Radio features Yoni Tserruya, CEO of @LushaData , on building a global SaaS company and the future of smarter B2B sales. This is brought to you by: LifeWave Corporate
1
1
52
In the past 3 month, have been oppurtuned to close deals worth $640,000 with lusha, if youre into b2b you shoukd give this a try
1
2
1
81
Going AI-first in your product is table stakes. Even if two companies ship the exact same thing, the one that rebuilt how every department works will run leaner, price lower, and move faster than the one that didn't. ⭐️As @yonitseru, CEO and co-founder at @LushaData puts it, the product is the ticket. Operations are how you win. Watch the full episode here: scalestack.ai/blog/data-foun…
2
5
50
Lusha retweeted
I run cold outreach for B2B companies across 15+ industries. Cold email is not dead. What's dead is the way most people do it. What's actually working: - Signal-first lists (not job title + company size) - 3 emails max, 50-75 words each - One trigger event per opener - ESP-split by inbox provider (Outlook vs Google, different copy) We're seeing 10-30% positive reply rates. Most setups get 1-2%. The gap isn't the channel. It's the list and the timing.
21
3
2
56
10,279
Next Demo Day headliner: @LushaData ! 🚀 Find out how 280,000+ revenue teams beat bad data with 98% email accuracy and 7M+ weekly buying signals. 📅 July 21st | 10 mins live + a special offer. revgenius.com/events/july-de…
1
4
61
We are doubling down on cold calling + content. Old school + new school. About to have a call in 20 mins with a guy that'll help us automate how we get leads (through Linkedin SN), enrich them (through some voodoo magic), and add emails/phone nrs (through Lusha)
1
1
3
449
Cold email outreach is one of the strongest distribution channels as you can land in the inbox of your target customer for incredibly cheap. Here’s the cost breakdown: - throw away .com domain = $12/year - mail integration = $5/mo - service subscription = $80/mo - 400 contacts from Lusha = $40/mo (basically $0.1/ per contact) So sending 5000 emails a month cost around $585 - this is insanely cheap considering you’re not spraying and praying - they’ll end up directly in your prospects inbox. Based on my experience conversion rates are between 1-5% depending on product and offer.
2
1
2
355