Investor targeting
Help a founder build a tiered target list of investors that actually fit
their stage, sector, geography, and check size — grounded in live research, not
memory. A wrong or invented name wastes the founder's scarcest resource (warm
intros and credibility), so the prime directive is: research, cite, flag —
never fabricate.
Read shared/references/outreach-ethics.md before producing output.
The hard rule on hallucination
You do not have a reliable investor database in your weights. Fund theses,
partner moves, check sizes, and "are they actively deploying" change constantly.
Therefore:
- Do not name a specific firm, partner, or angel from memory as a
recommendation. Every name in the final list must come from a live
WebSearch / WebFetch performed in this session.
- Each entry carries a source link and a confidence flag
(
verified / likely / unverified — check).
- If research is thin for a niche, say so. A short honest list beats a long
fabricated one. It is correct to return "I found 6 strong fits; here are 4
search angles to find more" rather than padding to 30.
Step 1 — Profile the raise (ask before searching)
Collect these from the founder. If they're missing, ask; don't assume.
- One-liner: what you do, for whom, the wedge.
- Stage & round: pre-seed / seed / Series A; how much you're raising; how
much is committed. (See
references/stage-map.md for what each stage means
for targeting.)
- Sector / category + business model (B2B SaaS, consumer, deep tech,
fintech, hardware, marketplace, AI infra, etc.). See
references/sector-taxonomy.md.
- Geography: where you're based, where you can take money from (some funds
only invest in their region/jurisdiction).
- Traction: the 1–2 metrics that make you fundable right now (revenue,
growth, users, LOIs, a notable design partner). This drives who is a fit —
a fund's check size must match your stage.
- Any constraints: strategic investors to court or avoid, conflicts
(competing portfolio cos), values requirements.
Step 2 — Search across complementary angles
Don't rely on one query. Use several angles so you don't miss whole pockets.
See references/free-data-sources.md for the full source list. Core moves:
- Thesis search:
"<sector> <stage> investors", "funds investing in <category> 2025", "<sub-niche> seed funds".
- Portfolio-analogy search: find a few non-competing companies one notch
ahead of you in the same category, then search who funded their seed/A.
Their investors have proven appetite for your space. ("who invested in
seed round").
- Operator-angel search: search for angels who built or led in your
category (" angel investors", notable operators who now angel
invest). Angels move faster and are often the first checks.
- Accelerator search: if pre-seed/idea stage, search accelerators/studios
that focus on your sector or geography.
- Directory search: OpenVC, NFX Signal, the fund's own "submit a deal"
page, recent SEC Form D filings, AngelList/Wellfound syndicates, relevant
newsletters and "VC thesis" posts.
For each promising hit, WebFetch the firm/angel's own site to confirm:
stage focus, check size, sector, geography, and how they want to be
contacted (many list a submit form or a partner's preferred path).
Step 3 — Qualify and tier
Score each candidate on fit, then sort into tiers:
- Stage fit — does their typical check match your round?
- Sector fit — explicit thesis or portfolio evidence in your space?
- Geo/jurisdiction fit — can they legally/practically invest in you?
- No conflict — not already backing a direct competitor.
- Reachability — is there a warm path or a clear public contact route?
Tier the output:
- Tier A (high conviction, lead with these) — strong on all five, clear
contact path. Aim for a focused set you can deeply personalize.
- Tier B (good fit, second wave) — solid fit, weaker on one axis or no warm
path yet.
- Tier C (worth watching / opportunistic) — plausible but unverified, or
fit is partial.
Step 3.5 — Sequence the outreach (don't burn your best leads first)
Recommend running outreach in waves: start with a few Tier B firms to pressure-
test the pitch and gather objections, refine, then approach Tier A with the
sharpened version and your best warm intros. Hand the Tier A targets to the
warm-intro and cold-email skills.
Step 4 — Deliver
Output a table the founder can paste into a tracker (the pipeline-tracker
format if present), with columns:
| Firm / Angel |
Tier |
Why they fit |
Stage & check |
Contact path |
Source |
Confidence |
Then add:
- Coverage note: which angles you searched and which you didn't, so the
founder knows what's not covered.
- Next searches: 3–5 concrete queries to extend the list themselves.
- Verify-before-send reminder: re-check each firm's current stage focus and
contact preference right before reaching out — these go stale.
Bilingual / China market (中文)
If the founder is raising in the China market, read
shared/references/china-market-playbook.md first. The free data sources differ
— use IT桔子 / 企查查 / 天眼查 / 36氪 / 投资界 instead of Crunchbase to
verify a fund's deals and whether it's an RMB or state-backed fund (人民币/国资,
which changes its mandate and process). Same anti-hallucination rule: research
live, cite the source, never invent a 机构 name.
Anti-patterns to refuse
- Producing a long list "from knowledge" without searching.
- Guessing partner email addresses.
- Recommending a fund whose stage clearly doesn't match (e.g., a growth fund
for a pre-seed idea) just to lengthen the list.
- Dropping source links "to keep it clean." The links are the point.
1---2name: investor-targeting3description: Build a tiered, stage- and sector-fit list of investors (VCs, angels, micro-funds, accelerators) for a founder's raise, using free public sources and live web search. Use when a founder asks "who should I raise from", "find investors for my startup", "which funds invest in <sector> at <stage>", or wants to build or qualify a fundraising target list. Never invents firms or partners — every name is researched live and carries a source link.4---56# Investor targeting78Help a founder build a **tiered target list** of investors that actually fit9their stage, sector, geography, and check size — grounded in live research, not10memory. A wrong or invented name wastes the founder's scarcest resource (warm11intros and credibility), so the prime directive is: **research, cite, flag —12never fabricate.**1314Read `shared/references/outreach-ethics.md` before producing output.1516## The hard rule on hallucination1718You do **not** have a reliable investor database in your weights. Fund theses,19partner moves, check sizes, and "are they actively deploying" change constantly.20Therefore:2122- **Do not name a specific firm, partner, or angel from memory as a23 recommendation.** Every name in the final list must come from a live24 `WebSearch` / `WebFetch` performed in this session.25- Each entry carries a **source link** and a **confidence flag**26 (`verified` / `likely` / `unverified — check`).27- If research is thin for a niche, say so. A short honest list beats a long28 fabricated one. It is correct to return "I found 6 strong fits; here are 429 search angles to find more" rather than padding to 30.3031## Step 1 — Profile the raise (ask before searching)3233Collect these from the founder. If they're missing, ask; don't assume.34351. **One-liner**: what you do, for whom, the wedge.362. **Stage & round**: pre-seed / seed / Series A; how much you're raising; how37 much is committed. (See `references/stage-map.md` for what each stage means38 for targeting.)393. **Sector / category** + business model (B2B SaaS, consumer, deep tech,40 fintech, hardware, marketplace, AI infra, etc.). See41 `references/sector-taxonomy.md`.424. **Geography**: where you're based, where you can take money from (some funds43 only invest in their region/jurisdiction).445. **Traction**: the 1–2 metrics that make you fundable right now (revenue,45 growth, users, LOIs, a notable design partner). This drives *who* is a fit —46 a fund's check size must match your stage.476. **Any constraints**: strategic investors to court or avoid, conflicts48 (competing portfolio cos), values requirements.4950## Step 2 — Search across complementary angles5152Don't rely on one query. Use several angles so you don't miss whole pockets.53See `references/free-data-sources.md` for the full source list. Core moves:5455- **Thesis search**: `"<sector> <stage> investors"`, `"funds investing in56 <category> 2025"`, `"<sub-niche> seed funds"`.57- **Portfolio-analogy search**: find a few non-competing companies one notch58 ahead of you in the same category, then search **who funded their seed/A**.59 Their investors have proven appetite for your space. ("who invested in60 <company> seed round").61- **Operator-angel search**: search for angels who built or led in your62 category ("<category> angel investors", notable operators who now angel63 invest). Angels move faster and are often the first checks.64- **Accelerator search**: if pre-seed/idea stage, search accelerators/studios65 that focus on your sector or geography.66- **Directory search**: OpenVC, NFX Signal, the fund's own "submit a deal"67 page, recent SEC Form D filings, AngelList/Wellfound syndicates, relevant68 newsletters and "VC thesis" posts.6970For each promising hit, `WebFetch` the firm/angel's own site to confirm:71stage focus, check size, sector, geography, and **how they want to be72contacted** (many list a submit form or a partner's preferred path).7374## Step 3 — Qualify and tier7576Score each candidate on fit, then sort into tiers:7778- **Stage fit** — does their typical check match your round?79- **Sector fit** — explicit thesis or portfolio evidence in your space?80- **Geo/jurisdiction fit** — can they legally/practically invest in you?81- **No conflict** — not already backing a direct competitor.82- **Reachability** — is there a warm path or a clear public contact route?8384Tier the output:8586- **Tier A (high conviction, lead with these)** — strong on all five, clear87 contact path. Aim for a focused set you can deeply personalize.88- **Tier B (good fit, second wave)** — solid fit, weaker on one axis or no warm89 path yet.90- **Tier C (worth watching / opportunistic)** — plausible but unverified, or91 fit is partial.9293## Step 3.5 — Sequence the outreach (don't burn your best leads first)9495Recommend running outreach in waves: start with a few Tier B firms to pressure-96test the pitch and gather objections, refine, **then** approach Tier A with the97sharpened version and your best warm intros. Hand the Tier A targets to the98`warm-intro` and `cold-email` skills.99100## Step 4 — Deliver101102Output a table the founder can paste into a tracker (the `pipeline-tracker`103format if present), with columns:104105| Firm / Angel | Tier | Why they fit | Stage & check | Contact path | Source | Confidence |106|---|---|---|---|---|---|---|107108Then add:109- **Coverage note**: which angles you searched and which you didn't, so the110 founder knows what's *not* covered.111- **Next searches**: 3–5 concrete queries to extend the list themselves.112- **Verify-before-send reminder**: re-check each firm's current stage focus and113 contact preference right before reaching out — these go stale.114115## Bilingual / China market (中文)116117If the founder is raising in the **China market**, read118`shared/references/china-market-playbook.md` first. The free data sources differ119— use **IT桔子 / 企查查 / 天眼查 / 36氪 / 投资界** instead of Crunchbase to120verify a fund's deals and whether it's an RMB or state-backed fund (人民币/国资,121which changes its mandate and process). Same anti-hallucination rule: research122live, cite the source, never invent a 机构 name.123124## Anti-patterns to refuse125126- Producing a long list "from knowledge" without searching.127- Guessing partner email addresses.128- Recommending a fund whose stage clearly doesn't match (e.g., a growth fund129 for a pre-seed idea) just to lengthen the list.130- Dropping source links "to keep it clean." The links are the point.