Nexuscale AI
AI sales assistant that finds leads + books meetings for you
320 followers
AI sales assistant that finds leads + books meetings for you
320 followers
Stop filtering databases. Nexuscale AI is the first Autonomous Outbound OS. Just paste your website URL, and our Agents research your market, enrich the contacts, and run the entire email & LinkedIn sequence.
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Launch Team / Built With
Atlassian LoomTalk it through in Loom. Ship with AI
Promoted
👋 Hey Product Hunt! Kevin here, Founder of Nexuscale AI
I built Nexuscale because I was tired of paying the Integration Tax.
You know the drill. To run a modern outbound campaign, you currently need:
Tool A for Data ($99/mo)
Tool B for Enrichment ($149/mo)
Tool C for Sending ($99/mo)
...and Zapier to glue it all together.
We spent more time debugging CSV files and fixing broken Zaps than actually closing deals.
So, we built the "Un-Stack."
Nexuscale AI is an autonomous outbound co-pilot that combines the entire workflow into one native engine.
How it works:
Live Research: Our agents scan the web for high quality emails.
Waterfall Enrichment: We ping multiple data providers live to ensure 98% email validity.
Hyper-Personalization: The AI writes unique hooks based on the prospect's LinkedIn/Website (no generic templates).
Auto-Sending: It manages the inbox and books the meeting.
🚀 The Founder Friendly Philosophy: We hated the Per Seat pricing model that penalizes you for growing.
With Nexuscale, you get Unlimited Seats on every plan. Bring your whole team; we only charge for the work the AI does (credits).
🎁 Launch Day Special: To celebrate with the community, we are offering 20% OFF Lifetime Access for the first 100 users today. Code: PH-LAUNCH
I’ll be hanging out in the comments all day, I’d love to hear your feedback (and your horror stories about your current sales stack!).
Let’s get those meetings booked. 📉➡️📈
Hot take: "Best-in-class" separate tools is a lie sold to you by vendors who don't want to compete on workflow efficiency.
Prove me wrong. 👇
@kevin_kariuki6 Congrats on the launch Kevin! What’s a realistic expectation customers should have in their first 30–60 days?
@kimberly_ross Thanks Kimberly! 🙌
In the first 30–60 days, most teams should expect to go from setup → validation → early results.
Typically that means getting targeting dialed in, testing messaging, and starting to see consistent replies and meetings booked rather than instant scale.
The biggest wins in this window are learning what works for your ICP and building a repeatable outbound motion you can confidently scale after that.
Currently trying it and it is brilliant! It would be cool to add to the paid features, e.g. exporting the sheet of contacts or so. Or integrate with Notion, Excel, etc.
@busmark_w_nika Thank you so much, really glad you’re enjoying it! 🙌
You’re spot on. Exporting contacts (CSV/Excel) and native integrations like Notion are already on our roadmap, and feedback like this helps us prioritize what ships next.
Short term, we’re focusing on making lead capture and enrichment rock-solid; then we’ll roll out exports and deeper workflows so you can plug NexuScale directly into your existing stack.
If you have a specific workflow in mind (Notion DB, Excel reporting, CRM sync, etc.), we’d love to hear it, we’re building this alongside users like you.
@kevin_kariuki6 I find this really useful for B2B predominantly, wishing you good luck with that! :)
@alina_petrova3 Thanks a lot, Alina! 🙌 Great question.
We source leads from multiple verified B2B data providers and continuously enrich them with firmographic and technographic data (company size, industry, location, tools used, etc.).
To make sure they match a client’s ICP, we:
Let users define their ICP very precisely (industry, company size, geography, job titles, keywords, revenue signals)
Apply layered filters + AI scoring to rank leads by fit
Validate emails and remove risky or low-quality contacts before outreach
Continuously learn from engagement signals (opens, replies, positive responses) to refine future lead suggestions
The goal is simple: fewer leads, but much higher relevance and reply rates 🚀
Congrats on the launch today! There are so many tools out there now that scrape for leads on Linkedin, Email, Reddit, etc. its beginning to get overwhelming as I am looking for the right tool for myself.
How do you gather your leads as finding the tool that curates the best list and is the most effective with delivery would be helpful for me to move forward with.
@jake_friedberg Thanks Jake, appreciate that and you are not wrong, it is definitely getting overwhelming.
We gather leads from multiple verified B2B data providers, not just scraping LinkedIn, Reddit, or random sources. We then enrich that data with firmographic and technographic details like company size, industry, location, job role, and tools used.
To make sure the list is actually useful, you define your ICP first. We filter and score leads based on that ICP, validate emails, remove duplicates, and prioritize contacts that are most likely to respond. The focus is on relevance and deliverability, not just list size.
If you are looking for a cleaner, more effective way to build outreach lists without juggling multiple tools, I would recommend giving it a try and seeing how it fits your workflow.
Congrats on the launch! Collapsing the outbound stack into a single native engine definitely addresses a real integration pain. How does Nexuscale handle transparency and control across the workflow, especially when live research, enrichment, personalization, and sending are all automated and running together?
@vik_sh Thanks Viktor, really appreciate the thoughtful question.
Transparency and control were core design principles for us, especially because we’re combining steps that are usually spread across multiple tools. In Nexuscale, nothing is a true black box.
Every stage of the workflow is visible and inspectable before anything is sent. You can see the live research sources used, the enrichment fields pulled in, and exactly how personalization is generated for each contact. Before launch, users can review, edit, or lock any part of the logic, messaging, or data inputs.
On the control side, automation runs within clear guardrails. You decide approval rules, sending limits, and confidence thresholds, and you can pause or intervene at any point. We also surface per-step logs so you can trace why a specific message was generated and sent.
The goal is to give teams the speed of an integrated system without sacrificing trust, oversight, or the ability to fine-tune outcomes as they go.
My wife and I founded and run PIFster, the pay it forward charity, and we purchased this to pitch ourselves for media writeups and corporate sponsorships. I'm still testing internally, but it appears to have tremendous potential, and I am very nearly ready to "go live" with our campaigns. I can tell you I encountered a bug last Friday, and by Monday morning Kevin and his team had found and fixed it; that impressed me.
@conleec Thank you so much for sharing this, and for the work you and your wife are doing with PIFster. Pay it forward initiatives like yours are exactly the kind of mission-driven efforts we hoped this product would support.
I really appreciate you calling out both the potential you’re seeing and the early bug you ran into. Shipping fast only matters if we’re just as fast to listen and fix, so I’m glad the turnaround met your expectations. That feedback goes straight to the heart of how we operate as a team.
Wishing you the best as you go live with your campaigns. If there’s anything we can do to help as you pitch media or corporate partners, don’t hesitate to reach out, we’re excited to see what you accomplish with it.
This is interesting. Shifting from filtered databases to autonomous outbound agents feels like the right direction. Curious how much control teams have over targeting logic and messaging as campaigns scale.
@nextgrid Absolutely, that’s a key focus for us.
Even as campaigns scale, teams retain full control over targeting and messaging. You can define, tweak, and lock audience filters, enrichment fields, and personalization logic at any point. Automation handles the heavy lifting, but nothing goes out without clear rules and oversight.
We also surface real-time previews, so you can see exactly how decisions are made at scale, making it easy to optimize or intervene without slowing down the workflow. The goal is to give the speed of autonomous agents without sacrificing trust or precision.