Warm path finder
Targeting tells a founder which firms. This skill closes the gap everyone gets
stuck on: which specific human to reach, and who can warmly introduce them.
It does two jobs:
- Pinpoint the person — the partner / principal / senior investment manager
who actually owns your sector and stage at the target firm (pitching the
wrong person wastes the shot). See
references/finding-the-person.md.
- Map & rank warm paths to that person — surface every legitimate route
from the founder's network, score by trust × reachability, and hand the best
one to the
warm-intro skill. See references/connection-mapping.md.
Read shared/references/outreach-ethics.md first. The whole skill lives or dies
on staying inside what's authorized and public (see the data-source tiers
below). Same anti-hallucination rule as the other research skills: a person or a
connection you assert must come from real data or live research, with a source —
never invent a partner, a title, or a mutual contact.
The hard line on data (read this before doing anything)
| ✅ Allowed |
❌ Not allowed |
| The founder's own authorized data: their Gmail, their Google/phone contacts, a LinkedIn connections export they downloaded |
Reading the founder's LinkedIn graph via API or scraping (no API exists; scraping breaks ToS and risks a ban) |
| Public info: X/Twitter bios, firm team pages, portfolio lists, podcasts, conference speakers, Crunchbase/AngelList people |
Crawling login-walled content at scale |
| The founder manually checking shared connections / DM-open status while logged in |
Guessing or buying personal email addresses to blast |
If a step would cross this line, stop and tell the founder.
Step 1 — Pinpoint the right person
For a target firm, identify the specific decision-maker, not "the firm." See
references/finding-the-person.md. In short:
- Find the partner/principal who leads your sector & stage — via the firm's
team page, who led the round for portfolio companies like yours (search
" partner"), their public thesis/posts.
- A senior associate / principal / senior investment manager who covers your
space can be the better first target than a famous GP — they're more reachable
and looking to source. Note who sources vs. who decides.
- Capture their public footprint: firm bio, LinkedIn URL, X handle, recent
writing/podcasts. This is research input, not contact-harvesting.
Step 2 — Search the founder's own authorized data first (Tier 1)
This is where the real warm paths hide, and it's 100% authorized. Ask the
founder which they can provide, then mine it. If they don't know how to get the
data, point them to references/exporting-your-data.md (step-by-step LinkedIn
export + Gmail/contacts, EN + 中文).
- Gmail (if connected): search their history for anyone already linked to the
target firm or person — past threads, shared recipients, intros they've
received. An existing thread is a warm path.
- Exported LinkedIn connections CSV: have the founder export it themselves
(LinkedIn → Settings → Data Privacy → Get a copy of your data → Connections).
Then cross-reference names/companies against the target firm and its portfolio.
- Contacts: Google/phone contacts for the same matching.
Match on: people at the firm, people who are portfolio founders of the firm
(highest-trust introducers), and people who share an employer/school with the
target person.
Step 3 — Map public-network paths (Tier 2)
For paths not in the founder's own data, find them in the open:
- Portfolio-founder paths (best): a founder the firm already backed vouching
for you is the strongest intro. Find portfolio cos near your space; the
founder may know one, or know someone who does.
- X/Twitter: locate the firm's partners/managers, their public thesis, and
whether they're reachable (open DMs / active repliers). The founder confirms
DM-open status on the profile; you draft the message.
- Shared communities: accelerator alumni, university/employer networks,
angel syndicates, founder Slacks/Discords, mutual advisors.
- Events: who from the firm is speaking where — a live intro beats a cold DM.
See references/connection-mapping.md for how to mine each surface.
Step 4 — Score and rank the paths
For every path found, score it so the founder spends their best shots well.
Rank by trust × reachability (see the rubric in connection-mapping.md):
- Trust: how much does the target person trust the introducer? (portfolio
founder > close peer/colleague > acquaintance > weak tie)
- Reachability: how easily can the founder actually ask this introducer, and
how likely are they to say yes and follow through?
Output a ranked shortlist, not a dump. The best connector is the one the target
actually replies to and who genuinely rates you — not the most senior name.
Step 5 — Hand off
- If a warm path exists → pass the top path + the named introducer to the
warm-intro skill to write the ask + forwardable blurb.
- If no warm path in the founder's own network (common for first-time /
cross-border founders) → don't jump straight to cold. Widen the surface:
accelerators, scouts, syndicates, operator angels, communities, give-to-get,
build-in-public all manufacture warm intros — see
references/expand-warm-surfaces.md, and vet any scout/FA channel with the
fundraising-agents skill.
- Only once warm surfaces are genuinely exhausted → the strongest direct route
(an open-DM partner who posts about your space, a firm's submit page) → hand to
cold-email / cold-call, anchored on the specific person and thesis.
- Always note the contact route + DM-open/submit status you found, and a
reminder to re-verify it right before reaching out.
Output format
- The person: name, title, why them (sector/stage fit), public footprint,
source links, confidence flag.
- Ranked warm paths: introducer → relationship → trust×reachability score →
how the founder knows them (Tier 1/2 source).
- Recommended next move: the single best path, and which skill to use next.
- Coverage note: which data the founder did/didn't provide (e.g., "no
LinkedIn export yet — here's how to get it and what it would unlock").
Bilingual / China market (中文)
If the founder is raising in the China market, read
shared/references/china-market-playbook.md and use
references/zh-talk-tracks.md. LinkedIn is effectively gone in China and WeChat has no clean contact export, so
do not ask a China founder for a LinkedIn CSV. Instead have them fill the
focused contact sheet (references/contact-sheet-template.csv) from their
phone contacts export, CamCard/名片全能王 export, alumni rosters, and WeChat tags
— then mine that. Full how-to (中文) is in references/exporting-your-data.md.
Online paths: 脉脉 (Maimai), 微信好友/群, 校友圈; X applies only for 欧美 investors.
Refuse / push back when
- Asked to scrape LinkedIn or read the connection graph via API — explain the
authorized export route instead.
- Asked to guess or obtain personal emails to mass-contact — refuse; route to a
warm path or a public submit form.
- Asked to assert a "mutual connection" that isn't backed by the founder's data
or a real source — never fabricate a relationship.
1---2name: warm-path-finder3description: Find the right human at an investor (the partner / principal / senior investment manager who owns your deal) AND map the warm-connection paths to reach them. Use when a founder says "who at <firm> should I talk to", "how do I get a warm intro to <investor>", "find a connection to <fund>", "who can introduce me", or is stuck going from a target firm to an actual person and a path in. Works from the founder's own authorized data (Gmail, exported LinkedIn connections, contacts) + public sources — never scrapes private data or guesses personal emails.4---56# Warm path finder78Targeting tells a founder *which firms*. This skill closes the gap everyone gets9stuck on: **which specific human to reach, and who can warmly introduce them.**10It does two jobs:11121. **Pinpoint the person** — the partner / principal / senior investment manager13 who actually owns your sector and stage at the target firm (pitching the14 wrong person wastes the shot). See `references/finding-the-person.md`.152. **Map & rank warm paths to that person** — surface every legitimate route16 from the founder's network, score by trust × reachability, and hand the best17 one to the `warm-intro` skill. See `references/connection-mapping.md`.1819Read `shared/references/outreach-ethics.md` first. The whole skill lives or dies20on staying inside what's **authorized and public** (see the data-source tiers21below). Same anti-hallucination rule as the other research skills: a person or a22connection you assert must come from real data or live research, with a source —23never invent a partner, a title, or a mutual contact.2425## The hard line on data (read this before doing anything)2627| ✅ Allowed | ❌ Not allowed |28|---|---|29| The founder's **own authorized data**: their Gmail, their Google/phone contacts, a LinkedIn **connections export** *they* downloaded | Reading the founder's LinkedIn graph via API or scraping (no API exists; scraping breaks ToS and risks a ban) |30| **Public** info: X/Twitter bios, firm team pages, portfolio lists, podcasts, conference speakers, Crunchbase/AngelList people | Crawling login-walled content at scale |31| The founder **manually** checking shared connections / DM-open status while logged in | Guessing or buying personal email addresses to blast |3233If a step would cross this line, stop and tell the founder.3435## Step 1 — Pinpoint the right person3637For a target firm, identify the specific decision-maker, not "the firm." See38`references/finding-the-person.md`. In short:3940- Find the partner/principal who **leads your sector & stage** — via the firm's41 team page, who **led the round** for portfolio companies like yours (search42 "<analogous company> <round> <firm> partner"), their public thesis/posts.43- A **senior associate / principal / senior investment manager** who covers your44 space can be the better first target than a famous GP — they're more reachable45 and looking to source. Note who *sources* vs. who *decides*.46- Capture their **public footprint**: firm bio, LinkedIn URL, X handle, recent47 writing/podcasts. This is research input, not contact-harvesting.4849## Step 2 — Search the founder's own authorized data first (Tier 1)5051This is where the real warm paths hide, and it's 100% authorized. Ask the52founder which they can provide, then mine it. If they don't know how to get the53data, point them to `references/exporting-your-data.md` (step-by-step LinkedIn54export + Gmail/contacts, EN + 中文).5556- **Gmail** (if connected): search their history for anyone already linked to the57 target firm or person — past threads, shared recipients, intros they've58 received. An existing thread *is* a warm path.59- **Exported LinkedIn connections CSV**: have the founder export it themselves60 (LinkedIn → Settings → Data Privacy → Get a copy of your data → Connections).61 Then cross-reference names/companies against the target firm and its portfolio.62- **Contacts**: Google/phone contacts for the same matching.6364Match on: people *at* the firm, people who are *portfolio founders* of the firm65(highest-trust introducers), and people who share an employer/school with the66target person.6768## Step 3 — Map public-network paths (Tier 2)6970For paths not in the founder's own data, find them in the open:7172- **Portfolio-founder paths** (best): a founder the firm already backed vouching73 for you is the strongest intro. Find portfolio cos near your space; the74 founder may know one, or know someone who does.75- **X/Twitter**: locate the firm's partners/managers, their public thesis, and76 whether they're reachable (open DMs / active repliers). The founder confirms77 DM-open status on the profile; you draft the message.78- **Shared communities**: accelerator alumni, university/employer networks,79 angel syndicates, founder Slacks/Discords, mutual advisors.80- **Events**: who from the firm is speaking where — a live intro beats a cold DM.8182See `references/connection-mapping.md` for how to mine each surface.8384## Step 4 — Score and rank the paths8586For every path found, score it so the founder spends their best shots well.87Rank by **trust × reachability** (see the rubric in `connection-mapping.md`):8889- **Trust**: how much does the target person trust the introducer? (portfolio90 founder > close peer/colleague > acquaintance > weak tie)91- **Reachability**: how easily can the founder actually ask this introducer, and92 how likely are they to say yes and follow through?9394Output a ranked shortlist, not a dump. The **best connector is the one the target95actually replies to and who genuinely rates you** — not the most senior name.9697## Step 5 — Hand off9899- **If a warm path exists** → pass the top path + the named introducer to the100 **`warm-intro`** skill to write the ask + forwardable blurb.101- **If no warm path in the founder's own network** (common for first-time /102 cross-border founders) → don't jump straight to cold. **Widen the surface**:103 accelerators, scouts, syndicates, operator angels, communities, give-to-get,104 build-in-public all *manufacture* warm intros — see105 `references/expand-warm-surfaces.md`, and vet any scout/FA channel with the106 **`fundraising-agents`** skill.107- **Only once warm surfaces are genuinely exhausted** → the strongest direct route108 (an open-DM partner who posts about your space, a firm's submit page) → hand to109 **`cold-email`** / **`cold-call`**, anchored on the specific person and thesis.110- Always note the **contact route + DM-open/submit status** you found, and a111 reminder to re-verify it right before reaching out.112113## Output format114115- **The person**: name, title, why them (sector/stage fit), public footprint,116 source links, confidence flag.117- **Ranked warm paths**: introducer → relationship → trust×reachability score →118 how the founder knows them (Tier 1/2 source).119- **Recommended next move**: the single best path, and which skill to use next.120- **Coverage note**: which data the founder did/didn't provide (e.g., "no121 LinkedIn export yet — here's how to get it and what it would unlock").122123## Bilingual / China market (中文)124125If the founder is raising in the **China market**, read126`shared/references/china-market-playbook.md` and use127`references/zh-talk-tracks.md`. LinkedIn is effectively gone in China and WeChat has no clean contact export, so128**do not** ask a China founder for a LinkedIn CSV. Instead have them fill the129**focused contact sheet** (`references/contact-sheet-template.csv`) from their130phone contacts export, CamCard/名片全能王 export, alumni rosters, and WeChat tags131— then mine that. Full how-to (中文) is in `references/exporting-your-data.md`.132Online paths: 脉脉 (Maimai), 微信好友/群, 校友圈; X applies only for 欧美 investors.133134## Refuse / push back when135136- Asked to scrape LinkedIn or read the connection graph via API — explain the137 authorized export route instead.138- Asked to guess or obtain personal emails to mass-contact — refuse; route to a139 warm path or a public submit form.140- Asked to assert a "mutual connection" that isn't backed by the founder's data141 or a real source — never fabricate a relationship.