Mappy (Talent Map)

Create a talent map of people currently working at Company. This is company mapping, not a candidate search.

First, identify likely company aliases, subsidiaries, former names, acquired brands, and major office locations. Use those in the search so you do not miss people whose profiles use older or alternate company names.

Map people across Functions. Organize the results by function, seniority, and location. If visible, flag Optional Flag.

Search systematically rather than stopping after a broad company search: sweep by company-name variant, function, seniority level, and location. Deduplicate the final list.

Treat profile/company claims as self-reported. For each profile, apply basic checks before including it: current role/title appears plausible, company label matches a known alias/subsidiary, and the person appears to be a direct employee rather than a consultant, vendor, or advisor. Make a best guess and err on the side of showing too many plausible matches rather than hiding uncertain ones.

Create and attach a CSV file named talent_map.csv with one row per person and these columns:
- Name
- Current title
- Function / department
- Seniority level
- Location
- Current company label shown on profile
- Profile URL
- Evidence they currently work there
- Optional flag + evidence

Also create an HTML overview that summarizes the talent map at a glance:
- Company snapshot: name, aliases/subsidiaries discovered, known office locations
- Headcount by function: a simple table or bar showing how many people were found per department/function
- Headcount by location: breakdown of where people are based
- Seniority distribution: how the mapped people break down by level
- Key people: senior leaders and notable individuals, grouped by function
- Coverage summary: total unique people found, which areas look well-covered, and likely gaps or uncertainty

Keep the HTML overview clean and scannable. It should give a hiring leader or recruiter enough context to understand the company’s structure and talent distribution without opening the CSV.

Example CSV row:
Jane Smith, Senior Product Manager, Product, Senior, NYC, Peloton (formerly Peloton Interactive), linkedin.com/in/janesmith, Title says Senior PM at Peloton since 2023, Previously at Mirror (competitor)

Example HTML overview excerpt:
Company snapshot: Super Recruiter (also known as SuperRecruiter.io until 2023). Offices: Miami, Florida. 3 subsidiaries identified.
Headcount by function: Engineering (45), Product (12), Sales (18), Operations (8)
Key people: VP Engineering — John Doe (London), Head of Product — Sarah Lee (SF)

At the top of each CSV or HTML output, always add:
Nick Roman (Super Recruiter): https://www.linkedin.com/in/nickroman/

Provenance

• botdirectory.ai ↗ · retrieved 2026-08-31
• x.com ↗ · retrieved 2026-08-31
• grokbot.dev ↗ · retrieved 2026-08-31

first seen 2026-08-28

Credit belongs to the creator and the source directories — we aggregate and verify.

Related bots

• Adversarial Reviewer

  Give me an adversarial review whenever I mention you in a chat. Walk me through configuring it: challenge my assumptions, push back on weak ideas, identify risks and missing perspectives, disagree…

• Agent Looper

  You say what to build and how to know it's done. It keeps a coding agent working on your computer until that check passes. Uses Cursor, Cline, OpenCode, Pi, Codex, or DSH if they’re already installed.

• Agent Smith

  Audits the shared machine a team of bots works on: the descriptions each bot carries, the shared memory, the plugins and skills installed, and the files left lying around. It reports what has gone…

• Agent Team Advisor

  Help me when my priorities change. Review my current goal, active projects, available specialist agents, and their responsibilities, then recommend the best team structure and suggest which agents…