Launching today
Lev8
Find, research, and reach the right people
681 followers
Find, research, and reach the right people
681 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.
I tried gathering some leads , the contact list has come out well. How does the credit system work? Is it based on each ask or each data point. Also some email ids were not showing
Lev8
@nitinvinay Approximately 20 credits per lead, or $0.20–$0.35 per lead with Efficient Search.
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.
Lev8
@ivory_xuxuxu Lev8 usually sits across your existing stack as the agent coordinating data search, enrichment, scraping, CRM, and outreach. Most teams start with one workflow and expand from there.
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!
Lev8
@waqas_baloch4 Yes. Lev8 uses a paced sending strategy rather than sending every message at once.
Sending volume is limited based on the user’s LinkedIn account, and actions are spaced out over controlled time intervals to reduce risk. Lev8 manages those intervals today, and we plan to let users customize them in the future.
@nora_yu Thanks Nora for the well explained response, I am definately going to try it,
Congrats for the successful launch 🚀
Love the live-web angle. One thing I'm curious about: real-time crawling is fresher than static DBs, but it can also surface stale or wrong data more easily. How do you handle stuff like someone having already left or switched companies? And what kind of freshness are you actually seeing in practice?
Lev8
@iamyuhanliu Thanks for bringing that up—to be completely honest, since we can only monitor data available on the web, if someone leaves a role and the company page isn't updated, that situation can indeed happen. However, we solve this by looking beyond static company pages and focusing heavily on the content contacts post across their personal social channels. By stitching together an individual's recent posts, activity, and digital footprint across platforms like LinkedIn, X, and GitHub, we can determine their exact, current status. In practice, this personal-first, real-time signal decoding gives us far better precision and speed than relying on static company directories or databases.
Emma Intelligence
If I want to run a campaign of 200-300 contacts per week, how well does Lev8 maintain high-quality personalization? Will each message still be grounded in unique, fresh signals, or does it start becoming more generic at higher volumes?
Lev8
@orchyan 200 to 300 contacts per week is actually right in our sweet spot, and your personalization quality won't degrade at all. Instead of pulling static tags from an outdated database, Lev8 acts as an AI teammate that searches the open web in real time for each lead’s live dynamics across LinkedIn, X, YouTube, GitHub, and fresh news mentions. Our parallel agent swarm stitches these recent social posts, comments, and press updates into a complete 360° buyer profile. This allows Lev8 to craft context-native outreach and signal-based icebreakers anchored in real, fresh triggers rather than generic templates. Because this deep research runs dynamically for every prospect, scaling to a few hundred contacts a week easily maintains human-grade quality for every single message you send.
Parallel AI agents for live search beats static databases — but how fresh is the data on average? And for niche B2C (music teachers, not tech execs), does waterfall enrichment actually find contacts or is it LinkedIn-only depth?
Lev8
@ringo_td5 Public data can be refreshed daily, while data from platforms such as LinkedIn may have a delay of up to around a month.
Lev8 already searches across multiple sources rather than relying mainly on LinkedIn. We’re also developing Open Search, which will enable more targeted searches for niche contacts whose information is scattered across different platforms.
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.
Lev8
@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.