A bespoke lead generation product that hooks up to your Zoho CRM. Set the persona and region; you get a weekly digest of warm leads with AI-drafted LinkedIn messages ready for your review.
Three things, every Monday, Wednesday and Friday at 7am UK time. The system runs itself; you read the digest.
You give us a target persona (job titles, industries, regions, exclusions) and the system searches LinkedIn via Bright Data every digest run. People who match the persona and whose recent activity suggests they're a real fit get added to your list.
Each new prospect is scored against the criteria you set on day one. Top-of-list is highest fit. Low-fit gets dropped before they ever reach your inbox. You only see the leads worth your time.
The system drafts a short, specific LinkedIn message for each scored prospect in your brand voice (we scrape your public content to learn it on day one). Drafts wait in a queue for you to read, edit, send.
Four steps from kickoff to first digest. Most tenants have a first digest within 14 days.
A 30-minute Zoom. We learn your persona, region, what "warm" means to you, what a good lead looks like in your pipeline, and what a bad lead looks like. You share your Zoho login (read-only first, write access when you're ready). You walk us through an existing prospect you liked.
We configure your tenant's filter criteria, brand voice profile, and Zoho schema mapping. Zoho becomes the system of record for every prospect; our admin dashboard reads from a real-time cache so you can review and edit drafts without going into Zoho. Setup runs in 7 to 10 days.
The first Monday, Wednesday or Friday after setup completes, the system runs end-to-end: search, score, draft, queue. You log in to your admin dashboard, read the AI's picks, edit the drafts you want to personalise, send the ones you're happy with. The rest sit in the queue for review.
Every digest, we capture which leads you sent to, which you skipped, and which got a reply. Filters tighten monthly. Voice tightens monthly. After three months, the system is calibrated to your version of "good lead."
Every part is something we already run. No vendor lock-in. You own your data and your code path.
| Layer | What it does | Notes |
|---|---|---|
| Zoho CRM | System of record. Every prospect, every lead, every status change lives here. | You keep your existing Zoho workflows and reports. We never write to anything you haven't approved. |
| Bright Data | LinkedIn search and post fetch. Residential proxies, no monthly cap. | Replaced Apify in 2026. Roughly 3p per weekly Cornwall run. Pay-as-you-go. |
| OpenRouter | LLM gateway. One key, many models. | Cheap models for routine scoring and drafting. Frontier models for high-stakes replies. |
| Supabase | Read-cache for the admin dashboard. Real-time. | Zoho is the source of truth. Supabase is the speed layer. |
| Next.js 15 | Your admin dashboard. Runs on Railway. | See the digest, review drafts, edit brand voice, change filters. Your team logs in, no training needed. |
| Hermes Agent | Orchestration. Plans, delegates, runs the right model for the right task. | Open source. Cost guardrails built in. Falls back to cheaper models automatically when monthly budget hits 80%. |
Pricing is deferred while the product is in market-fit mode. We're running a handful of tenants and learning the actual cost of running the system per customer. Once we have enough data, we'll publish a band on our pricing page.
For now: book a 30-minute scoping call and we'll tell you honestly whether the system is the right shape for what you need, and what a first engagement looks like.
This product was originally built for UK comedian Pete Cann (the Laughter Man) as a working sales pipeline. Pete's pain was the same as any B2B services business: not enough hours in the week, too many prospects to chase, AI-drafted messages that didn't sound like him. We built the system, ran it for him, refined it, and now ship it as a bespoke product for any business that runs on Zoho and wants their own lead generation wired in.
The original build write-up is kept as an archived case study. The engineering and pipeline details are still useful, even though the customer-facing narrative has moved on.
Twenty minutes. We'll tell you whether the system is the right shape for what you need, and what a first engagement looks like.