Lev8
Find, research, and reach the right people
1.3K followers
Find, research, and reach the right people
1.3K followers
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.
Congrats on the launch! This sounds like a super useful tool - one question though. How is it different from an apollo or hunter? As an avid user of both (although I've never been particularly interested in purchasing a paid subscription from either) I'm curious as to how you guys are differentiated.
@ethan_cheng Thanks so much for the support! Appreciate you taking the time to ask—Apollo and Hunter are absolute staples for standard contact lookups, so it’s a very fair comparison.
The core difference comes down to Static Database vs. Live AI Teammate. Standard tools like Apollo and Hunter rely heavily on pre-indexed, static databases, which can quickly go stale or completely miss niche, hard-to-reach decision-makers. Lev8 operates as an integrated agent swarm that mines the live open web in real-time across 50+ providers, social platforms (LinkedIn, X, YouTube, Instagram), GitHub, and technical communities to deliver broader and far more up-to-date results.
Beyond just finding contacts, Lev8 handles deep contextual understanding and automated action. Instead of relying on basic keyword matches, it stitches together a person's fragmented online presence across platforms and time to reveal true intent, background, and preferences. It also acts as an always-on market monitor that tracks dynamic timing signals—such as tech stack changes, hiring shifts, and web discussions—so you know exactly why and when to engage. Finally, rather than just exporting a list of emails into a generic sequencer, Lev8 works as a chat-based teammate that qualifies leads, ranks urgency, and drafts context-native outreach across Email, LinkedIn, WhatsApp, X, and Instagram in a unified inbox.
If you just need a quick email address lookup from a standard database, traditional tools work great. But if you want a live AI teammate that finds hard-to-reach people, decodes deep intent signals, and turns dynamic data into multi-channel action, that's where Lev8 shines.
Congrats on the launch. Since outreach channels get connected by authorizing your own account, are those credentials scoped so only your own campaigns can use them, or is there a shared pool the agents draw from across users?
@vollos Each user’s connected accounts and credentials are fully isolated and only used for their own campaigns. We never pool or share authorized accounts across users.
@nora_yu Good to hear it's isolated per user. Curious how that's locked down technically, row-level policies on the database side, or checks written into the application code before each campaign runs?
The enrichment looks useful, but I’d want to know how the data is verified. Can users see the source for each field, especially job title and company? That would make it much easier to trust before any messages are sent.
@liana_preston All of our information comes from real searches, with source links provided so you can verify every result.
Interesting product! How does Lev8 verify conflicting or outdated information from multiple web sources before automatically sending outreach?
@ram_sarjal
From a technical perspective:
Lev8 uses a hierarchical validation framework that breaks each search request into more granular conditions. Each condition is verified independently, while a global validation layer evaluates the results against the user’s original query and intent. This multi-level scoring process helps deliver more accurate and reliable results.
To reduce AI hallucinations, Lev8 has also built an offline entity database. Each entity is assigned a structured ID card containing its core information, which significantly reduces entity-matching errors—especially confusion between people or companies with the same name.
From the user experience perspective:
Every result comes from real searches and includes its original sources, so users can review the evidence and verify the accuracy themselves.
Hope this answers your question. Feel free to try it out at Lev8.com.
This is exactly the kind of tool I didn't know I needed. I've spent way too many hours manually cross-referencing LinkedIn and company sites for outreach lists. Curious how it handles smaller/local businesses (like dealerships or regional service companies) where the web footprint is thinner than a typical SaaS company. Does the agent flag when confidence is lower on those searches?
Lev8
@andre_ajemian That’s a great question. Smaller and local businesses can definitely be more challenging because there’s often less public information available than you’d find for a typical SaaS company.
Lev8 cross-checks information across multiple public sources rather than relying on a single source. When the available data is limited or inconsistent, we don’t treat those results the same as well-supported ones.
Instead, the agent evaluates the quality of the available evidence and indicates which results are recommended and which are less reliable, so users know where they can move quickly and where a manual review may be worthwhile. Our goal is to be transparent about the strength of the data rather than give every result the same level of confidence.
The "monitor intent signals + send personalized messages automatically" combo is where these tools live or die. Intent data is only as good as it is fresh, and personalization at scale usually reads as templated the moment volume goes up. How do you keep the outreach from feeling automated once someone's sending hundreds a day? Nice launch.
@david_marko That’s exactly the challenge we’re focused on. Lev8 pulls fresh signals at the time of research, lets users define the template and personalization angles, and grounds each message in real person- and company-level context. It also uses channel-specific pacing and sequencing rather than blasting everyone at once, so scale doesn’t have to mean generic outreach.
If I base outreach on the wrong information once, I start questioning every result. How do you help users build confidence in the data they're seeing?
@reda_roqai_chaoui All of our information comes from real searches, with source links provided so you can verify every result.