F.01
Drag and drop
- Qualified
- Contacted
- Replied
- Meeting
- Won / Lost
Kanban pipeline
Drag-and-drop lead management, from qualified to contacted, replied, meeting, and won or lost.
- Qualified
- Contacted
- Replied
- Meeting
- Won / Lost
04 / 04Case study / 04 of 04
AI agent / B2B sales
Scout
AI + full-stack engineering
In one line
The pipeline, automated.
An AI agent that discovers companies, enriches contacts, scores leads and drafts personalized outreach on its own.
Year
2025
Platform
Web
Stack
All technologies- Next.js
- React
- TypeScript
- AI agents
- Tailwind CSS
- SQLite
- Playwright
Also: Tailwind CSS · SQLite · Playwright
01 / The problem
01 / The problem
Sales grunt work.
B2B sales teams spend most of their time on repetitive grunt work.
Manually searching for companies, hunting down decision-maker contacts, qualifying leads against their ideal customer profile and writing cold emails.
It’s tedious, inconsistent and doesn’t scale.
- Manual research
- Inconsistent qualification
- Doesn’t scale
02 / The solution
02 / The solution
Define the ICP once.
Point it at your ideal customer profile, and the agent builds the pipeline.
Scout automates the entire lead generation pipeline. It discovers companies, enriches contacts, scores leads and drafts personalized outreach, all autonomously.
Top-scoring leads seed a second wave of discovery, so the pipeline keeps growing with high-quality lookalikes.
How it flows
Runs 10+ cycles autonomously
10+ cycles
01 / Discover
Product Hunt, Y Combinator, Crunchbase, GitHub, AngelList, Reddit and more
02 / Enrich
Founders and decision-makers, found with Playwright and the Serper API
03 / Qualify
Every lead scored 1–5 against the ideal customer profile
04 / Expand
Competitors, accelerator cohorts and players in niche verticals
05 / Draft
Personalized cold emails from your knowledge base
03 / Key features
03 / Key features
Six things around the agent.
Everything a sales team needs once the agent has found the leads, from the first contact to won or lost.
F.02
- Docs
- Case studies
- Testimonials
Knowledge base
Upload company docs, case studies and testimonials to personalize every AI output.
F.03
- Multi-step
- SMTP
Email sequences
Multi-step follow-up campaigns with SMTP integration.
F.04
- Funnel
- Sources
- Outreach
Analytics dashboard
Pipeline health, conversion funnel, source performance and outreach metrics.
F.05
- Audit trail
Activity log
A complete audit trail of every agent action.
F.06
Setup wizard
Guided onboarding from the ICP definition to the first lead batch.
- steps
- 7
04 / Built with
04 / Built with
How it’s built.
App
Next.js
React
TypeScript
Tailwind CSS
SQLite
Agent
- Playwright
Claude
05 / Results
05 / Results
A pipeline that runs itself.
The outcome
Scout runs the SDR pipeline on its own: it finds companies, enriches contacts, qualifies leads and drafts the outreach.
Sales teams define their ICP once, upload their knowledge base and let the agent build a qualified pipeline with personalized outreach ready to send.
At a glance
- Pipeline
- Discover, enrich, qualify, expand, draft
- Lead scoring
- 1–5 against the ICP
- Automation
- 10+ autonomous cycles
- Onboarding
- 7-step setup wizard
Next product
Case study / 01 of 04
Web platform / 2025
Hiki
Find your next manga. Compare bookstores, discover titles and track prices in one place.
Find your next manga. Compare bookstores, discover titles and track prices in one place.
Next.js · FastAPI · MongoDB · Google Cloud
StartStart / 30-minute call
Got a product in mind? Let’s ship it.
No corporate theater. Just results.
Book a 30-minute call
Prefer email?
hello@larch.ee