OptiGTM · Optifeed · 2026
Turning Manual Lead Research into a Working Tool
An internal AI lead research MVP built with Rails and the Anthropic API
01 Status
Current status
Internal MVP / internal tool. Actively evolving. Usage data is not yet available. Production adoption is not claimed. Repo is private.
02 Summary
OptiGTM is an internal MVP for researching and evaluating ICP-fit e-commerce brands at Optifeed.
The problem was manual lead research: finding relevant companies, understanding fit, and preparing enough context for a first outreach took too much repeated effort.
I worked from marketing problem discovery through UX flow, CTO scoping, and Rails MVP build with Anthropic API integration.
The tool is an actively evolving internal MVP; production adoption and usage metrics are not claimed.
03 Problem
Optifeed needed a better way to discover and evaluate ICP-fit e-commerce brands instead of relying only on inbound, founder-led sales, or manual research.
The marketing/sales workflow needed a repeatable way to create a research project, run a search, receive explainable company candidates, and review the result before any outreach decision.
04 Key Constraint
MVP boundary
The goal was not to build a complete GTM automation platform. The goal was the smallest useful loop: create project, run search, return explainable company candidates, save/show results, and let marketing review.
05 My Role
- Discovery and hypothesisMarketing problem discovery, hypothesis formation, and UX flow in Miro.
- Technical scopingScoped the direction with CTO context before committing to the MVP shape.
- MVP buildRails MVP work at practical prototype/MVP level with Anthropic API integration understanding.
- AI-assisted implementationUI/view updates, result saving/display flow, and build support with Claude Code and Codex.
06 MVP Flow
- CreateCreate a project or campaign.
- SearchRun a lead research search.
- GenerateClaude / Anthropic returns explainable company candidates.
- ReviewSave the result, show it on the project page, and let marketing review before deciding what to do next.

07 What I Built / Worked On
- Product structureProject/Search model understanding and project-based lead research flow.
- Result flowSearch result saving, project page output display, and simple UI-level Rails views in ERB/HTML.
- Anthropic flowAnthropic integration flow for explainable company candidates.
- Needs verificationAPI key handling improvements, approve/reject actions, and future lead workflow should be confirmed before public detail is added.
08 Key Product Decisions
- Project-based structureA repeatable project/campaign structure instead of one-off search.
- Explainable outputExplainable candidate output instead of a raw company list.
- Saved resultsSaved results instead of temporary AI response.
- Human reviewMarketing review step before any automated action.
09 Visual Story
- Rails MVC flowPlaceholder: Rails MVC flow for Project and Search.
Real screenshots require permission and must avoid exposing internal or customer data.
10 Current Status
OptiGTM is an internal MVP / internal tool and is actively evolving.
Usage data is not yet available. Production adoption is not claimed.
The repo is private and should not be linked. Any real screenshot requires permission and must avoid exposing internal or customer data.
11 What This Proves
- Workflow to product loopI can translate a business workflow problem into an internal product loop.
- Practical Rails fluencyI can work with Rails at practical MVP-building level.
- AI-assisted internal tool buildI can use AI coding agents to move from product direction to working internal tool.
- Scoped collaborationI can collaborate with marketing and CTO context without overbuilding.