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Product Hunt Lev8

Find, research, and reach the right people

251
Traction Score
70
Discussions
Jul 21, 2026
Launch Date
View Origin Link

Product Positioning & Context

Chat with Lev8, the fastest way to find and reach your target people and companies, powered by live web search via parallel AI agents across every corner of the internet. Enrich CSVs with waterfall lookups, monitor intent signals, and send personalized multi-channel messages, all running automatically.
Sales Artificial Intelligence Marketing automation

Related Ecosystem & Alternatives

Discover adjacent products, open-source repositories, and developer tools sharing similar technical architecture.

Deep-Dive FAQs

What is Lev8?
Lev8 is a digital product or tool described as: Find, research, and reach the right people
Where did Lev8 originate?
Data for Lev8 was aggregated directly from the Product Hunt community ecosystem, representing raw developer and early-adopter sentiment.
When was Lev8 publicly launched?
The initial public indexing or launch date for Lev8 within our tracked developer communities was recorded on July 21, 2026.
How popular is Lev8?
Lev8 has achieved measurable traction, logging over 251 traction score and facilitating 70 recorded discussions or engagements.
Which technical categories define Lev8?
Based on metadata extraction, Lev8 is categorized under topics such as: Sales, Artificial Intelligence, Marketing automation.
What are some commercial alternatives to Lev8?
Our semantic intelligence engine identifies potential commercial alternatives in the SaaS space, such as Phantomstory, which offers overlapping value propositions.
How does the creator describe Lev8?
The original author or development team describes the product as follows: "Chat with Lev8, the fastest way to find and reach your target people and companies, powered by live web search via parallel AI agents across every corner of the internet. Enrich CSVs with waterfall..."

Community Voice & Feedback

[Redacted] • Jul 21, 2026
Hi @nora_yu Congrats on the launch! The live web approach really stands out. Half the emails I pull from the big databases bounce because the data is months old, so searching fresh actually solves a real problem.One question: for the multi-channel outreach, how do you keep accounts safe? LinkedIn especially is known for restricting accounts that send automated messages. Do you have limits or safeguards built in so users don’t risk their main profiles?Excited to try this out, good luck today!
[Redacted] • Jul 21, 2026
the waterfall lookup thing actually saved me like an hour on cleaning a messy csv, kind of wild how fast it pulled missing emails and company info.
[Redacted] • Jul 21, 2026
Great idea Tony. But how are you making sure the data is not stale ? How often do you refresh you db ?
[Redacted] • Jul 21, 2026
People/company intelligence gets much more useful when the system can show its work: source trails, freshness, confidence, and why a person matched. That matters even more when the workflow continues into outreach, because bad discovery quickly becomes bad relationship debt.
[Redacted] • Jul 21, 2026
The waterfall enrichment on a messy CSV worked way better than I expected, and the live search agents actually picked up a niche contact that other tools usually miss.
[Redacted] • Jul 21, 2026
The tagline makes Lev8 sound like it covers the full path from finding people to researching them and then reaching out. For teams using AI workflow automation already, where does Lev8 usually sit: before a CRM, inside an outreach workflow, or more as an agent that coordinates across tools? Would be useful to understand the intended starting point.
[Redacted] • Jul 21, 2026
Hey Tony! It sounds super interesting cause it helps us to find our ICP. Is there a trial? Anyway, wish you all the best here!
[Redacted] • Jul 21, 2026
the intent-signal piece is what separates this from yet another enrichment tool. reaching out when someone is actually showing buying behavior beats blasting a cleaned csv every time. full disclosure, i work on affiliate software (referralful) so i lean toward referrals over cold outbound, but for net-new accounts nobody has referred you yet, so someone still has to go find them. if the outreach is genuinely shaped by the research and not just merge tags, that is the whole game.
[Redacted] • Jul 21, 2026
Congrats on the launch!
[Redacted] • Jul 15, 2026
👋 Hey Product Hunters,I'm Tony Zhang, co-founder of Lev8 , the fastest agent to find and reach your target people and companies across every corner of the internet and reach across multiple channels.Here are a few searches our early users have thrown at Lev8:“Find me VPs of Sales at fast-growing voice agent startups in the Bay Area that raised funding recently.”“Find everyone who starred our GitHub repo, then reach out to them across multiple channels.”“Find coffee shops in San Francisco with a 4.5+ rating and no website.”AI has made it easier to build products. Getting the right people to notice them is still hard.We felt this ourselves. Our team spent hours jumping between search tools, databases, spreadsheets, and enrichment services just to answer a simple question:Who should we talk to, and why?So we built Lev8.What Lev8 doesLev8 turns the live web into people and business intelligence.Describe who you’re looking for in plain language, and Lev8:Searches across public sourcesVerifies identitiesAdds relevant contextSurfaces the signals that explain who matters right nowWhat happens behind the scenesOur crawler reaches sources that static databases miss. Parallel agents explore the web, while our identity system makes sure the facts belong to the right person or company.The goal isn’t to create another oversized lead list.It’s to help you discover the companies and people others miss—and provide reliable intelligence that both people and AI agents can use to make better decisions.

Discovery Source

Product Hunt Product Hunt

Aggregated via automated community intelligence tracking.

Tech Stack Dependencies

No direct open-source NPM package mentions detected in the product documentation.

Media Tractions & Mentions

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Deep Research & Science

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