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Fundraising

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ericrisco
fundraising

Use when planning or running an equity round as a process: sizing the raise to a milestone, choosing post-money SAFE vs priced round, tiering investors by intro path, sequencing outreach for momentum, or reading a term sheet before signing. NOT the slide narrative (that is `pitch-deck`), NOT the cap-table or valuation math (that is `financial-model`).

Overview

Publisherericrisco
Repositoryrsc-harness
Skill namefundraising
Stars
239
Forks
24
Bundled files
3
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by ericrisco on GitHub. Read the source before you install it.

Installation

Install the Fundraising AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/ericrisco/rsc-harness/tree/main/skills/fundraising
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/ericrisco/rsc-harness.git /tmp/rsc-harness
mkdir -p .claude/skills
cp -r /tmp/rsc-harness/skills/fundraising .claude/skills/fundraising
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Fundraising in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Fundraising on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Fundraising is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Fundraising — The Operating System for an Equity Round

Own the round as a PROCESS: size it, pick the instrument, build a tiered list around intro paths, run a concentrated sprint, read the term sheet.

This skill thinks in funnels (how many investors at the top to land N term sheets), in instruments (post-money SAFE vs priced Series Seed), and in leverage (warm intros, parallel meetings, a first term sheet that creates real urgency). It consumes the deck, the model, and the collateral that siblings produce, and orchestrates them into a closed round. Scope: pre-seed through Series A priced rounds and SAFE rounds, founder-side.

What this owns vs what routes out

Fundraising owns the decisions and the sequence. The moment the real ask is a document or the numbers behind it, route out — do not half-build the sibling's artifact here.

The ask is…Route toWhy
The persuasive STORY / slide narrative../pitch-deck/SKILL.mdThe deck is the story; fundraising decides when and to whom it goes.
Revenue projection, burn/runway, valuation math, cap-table dilution../financial-model/SKILL.mdThe numbers and the spreadsheet; fundraising sets the target (amount, dilution band), the model computes it.
Investor one-pager, data room, recurring investor update../investor-materials/SKILL.mdPackaged collateral; fundraising decides the sequence it ships in.
The actual cold-email/DM copy + follow-up cadence to a named target../cold-outreach/SKILL.mdFundraising decides WHO and the order; cold-outreach writes the message when there is no warm intro.
Drafting/redlining the binding SAFE, SPA, or side letter../contracts/SKILL.mdThe legal instrument; fundraising covers the term-sheet basics a founder negotiates, not the binding doc.
Non-dilutive funding (grants, R&D credits, public funding)../grants/SKILL.mdOut of equity-round scope entirely.
The standalone LTV/CAC/payback analysis investors will probe../unit-economics/SKILL.mdA separate diligence artifact; fundraising just knows they'll ask.

A general sales pipeline for CUSTOMERS (not investors) is ../sales-pipeline/SKILL.md, not this skill.

Intake gate — answer these before planning anything

This is a real branch: if the answer to the last row is "the deck" or "the model," STOP and route. Do not produce a round plan on top of unknowns.

  • Stage & traction — pre-seed/seed/A? Pre-revenue, or MRR + growth rate (e.g. "$12K MRR, +18% MoM")?
  • Milestone the money buys — what does this round let you prove (e.g. "$100K MRR," "10 design partners → repeatable sales")? If you can't name it, you can't size the round.
  • Runway you need to buy — months to that milestone × monthly burn = the floor of the raise.
  • Lead in hand? — is a lead investor already circling, or is this a cold start? This flips the instrument and the sprint plan.
  • Network reality — strong warm-intro paths, or a weak network? This decides whether you lean on accelerators / portfolio founders.
  • Collateral ready? — deck, model, and data room exist? If the real request is "build the deck" → ../pitch-deck/SKILL.md. If it's "build the model" → ../financial-model/SKILL.md. Come back with strategy once they exist.

Step 1 — Size the round to a milestone

The amount is burn to the next fundable milestone + buffer, never "the maximum we can get." Raising too much sells too much of the company for proof you haven't generated yet; raising too little strands you between milestones.

text
Amount  = months_to_milestone × monthly_burn × (1 + buffer)   # buffer ~25–35%
Dilution target:  pre-seed 10–15%   ·   seed 15–25%
Cap / pre-money ≈ amount ÷ dilution_target
text
Bad  — "Let's raise as much as we can — $4M sounds good."
Good — "$1.5M buys 18 months to $100K MRR at our $80K/mo burn.
        Aim for ~15% dilution → ~$10M post-money SAFE cap."

2026 reference bands (ground your ask, don't quote them as gospel): median seed ~$3.1M at ~$16M pre-money; pre-seed SAFE caps commonly $10–15M for $250K–$2M raised. Seed deal volume fell ~28% YoY — fewer rounds close but larger, so targeting quality beats spray. Hand the actual cap-table dilution arithmetic to ../financial-model/SKILL.md; you set the target band, it computes the table.

Step 2 — Pick the instrument (don't default)

Make the SAFE-vs-priced call explicit. Below ~$4M with no lead, a post-money SAFE with a valuation cap is the standard; above that, or with a complex cap table or a lead who wants control terms, expect a priced equity round with preferred stock. ~90% of pre-seed rounds on Carta in Q1 2025 used a SAFE; ~92% of all pre-priced rounds as of Q3 2025.

SignalLean SAFELean priced round
Round size< ~$4M≥ ~$4M
Lead investornone yet / party rounda lead setting terms
Cap tablesimple, few holderscomplex, many holders / cleanup needed
Legal cost & speed~$0–2k, days (YC template)~$15–25k, weeks
Governancefounder keeps full controlboard seat / protective provisions expected

Two traps to flag every time:

  1. Post-money SAFE pile-up. A post-money SAFE fixes the holder's ownership after all SAFE money but before the priced round, so stacking multiple post-money SAFEs dilutes founders more than they expect. Compute combined dilution across the whole stack before signing the next one — hand the real math to ../financial-model/SKILL.md. Most post-money SAFEs are cap-only (no discount); add a discount only if there's a reason.
  2. Over-engineering a priced round too early. A $15–25k priced round before you have traction or a lead burns cash and weeks for governance you don't need yet. Default small/early rounds to SAFE.

SAFE-vs-priced decision table with cost/speed/dilution columns and a worked pile-up example → references/process-playbook.md.

Step 3 — Build the target list, tiered by intro path

The funnel is brutal and quantifiable, so build the list backward from term sheets, keyed to how you'll get in the door — not a flat list of names.

text
Work backward:
  want ~2–3 term sheets
  first→second meeting ~50%, outreach→meeting ~15%
  ⇒ ~50–100+ qualified, warmth-weighted targets at the top of the funnel

The intro path is the single biggest lever: a warm intro converts to a meeting ~30–50%; cold outreach replies ~1–3% and yields <2% meetings (≈10–20x cold). So rank every target by the warmest path you have to it:

text
Warm-intro priority ladder (best → last resort)
  1. Existing investors / angels who can route you in
  2. Portfolio founders of the target VC (they get read)
  3. Mutual advisors / operators / accelerator network
  4. Cold outreach — last resort, only where no path exists

Tier A/B/C by fit × intro warmth (A = perfect-stage, perfect-thesis, warm path). If your network is weak, manufacture paths: accelerator demo days, portfolio-founder intros, scout programs.

text
Bad  — One flat list of 200 VC names, same blast to all.
Good — 60 targets, each row tagged: stage fit · thesis fit · tier · warmest
        intro path · who makes the intro. Cold is a labeled minority.

The full back-solve arithmetic, per-path conversion bands, the A/B/C rubric, the pipeline stage schema, and a worked $3M-seed example → references/funnel-math.md. When there's genuinely no warm path to a Tier-A target, the message copy itself is ../cold-outreach/SKILL.md.

Step 4 — Run it as a concentrated sprint, not a trickle

Momentum is manufactured by simultaneity, not by sending one email and waiting. Concentrate 30–50 first meetings in the first ~2 weeks of launch, run them in parallel, and aim for a first term sheet inside ~2 weeks. Total process targets ~6–8 weeks — though the tighter 2025 market stretched full cycles to 12–18 months when momentum was absent.

text
Sprint shape
  Pre-launch    line up intros, finalize deck/model/data-room, batch meetings
  Weeks 1–2     30–50 first meetings IN PARALLEL — this is what creates competition
  Weeks 3–4     partner meetings, diligence, drive toward the first term sheet
  Close         first term sheet → use it to compress the rest → sign

The first term sheet changes everything — it converts soft interest into urgency across the whole pipeline. Use it. But the honesty rule is absolute, because it is the one mistake with no recovery: manufacture FOMO from a visibly busy calendar and a real first term sheet — never from fabricated competing offers or invented deadlines. Lying about a term sheet you don't have is how a raise dies when one investor calls another; the cost of getting caught is the round.

Track count-in-pipeline and stage conversion, not activity. Benchmarks to instrument the funnel: outreach→meeting ~15%, first→second ~50%. Pipeline stages: Sourced → Intro requested → First meeting → Partner/2nd → Diligence → Term sheet → Closed. Week-by-week playbook and the honest-momentum mechanics → references/process-playbook.md.

Step 5 — Read the term sheet (the basics, then hand off)

A founder negotiates the few terms that compound — not the headline valuation alone. Know the 2025 market-standard bands so you know what to accept and what to push on.

TermQ2 2025 market standard at seedPush on it when…
Liquidation preference~98% 1x; ~95% non-participating (founder-friendly)Anything above 1x or participating — push hard; it's off-market.
Valuation cap / pre-moneyderives your dilutionThe cap implies dilution outside your band (Step 1).
ESOP / option poolcarved pre-money dilutes foundersA large pool demanded "for hiring" inflates dilution silently.
Board compositioncommon post-seed: 2 founder / 1 investorAnything that loses you founder majority at seed.
Pro-rata rightscommonFine to grant; know who's reserving follow-on.
Protective provisions / vetoesappeared in >90% of roundsScope creep beyond standard major-decision vetoes.

Median seed lead ownership runs ~12.6%. Don't sign the first term sheet without a comparison — a single offer with no comp gives away your only leverage. And the hard handoff: the term sheet is mostly non-binding, but the binding SAFE / SPA / side letter is a legal document → ../contracts/SKILL.md and a real lawyer. You read the term sheet to negotiate; you do not draft the binding instrument here. Full term-by-term cheat sheet with bands and push-on guidance → references/process-playbook.md.

Anti-patterns

Anti-patternDo instead
"Raise the max — more runway is always better."More dilution for proof you don't have. Size to the next milestone (Step 1).
"I'll send a few emails and see who bites."A serial trickle kills momentum. Concentrate 30–50 meetings in 2 weeks, parallel.
"Bigger list = better — blast 200 VCs."Flat spray wastes your warm paths. Tier by fit × intro warmth; cold is a labeled minority.
"Let's do a priced round to look serious."$15–25k and weeks for governance you don't need pre-traction/pre-lead. Default to SAFE.
"First term sheet looks fine, let's sign."One offer with no comp = zero leverage. Get a comparison before you sign.
"Stack another post-money SAFE, easy money."Pile-up dilutes you more than you think. Model the whole stack first (../financial-model/SKILL.md).
"Cold outreach is the main channel."Cold replies ~1–3%; warm converts ~30–50%. Build around intro paths, cold last.
"Tell investors we have a competing term sheet."If untrue, the raise dies when they call each other. FOMO from real signals only.
"Push the valuation up, that's the win."The terms that compound are pref, pool, board, dilution — not headline price alone.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Fundraising AI skill do?

Use when planning or running an equity round as a process: sizing the raise to a milestone, choosing post-money SAFE vs priced round, tiering investors by intro path, sequencing outreach for momentum, or reading a term sheet before signing. NOT the slide narrative (that is `pitch-deck`), NOT the cap-table or valuation math (that is `financial-model`).

Why use Fundraising on TypingMind?

Because you install it once and use it with any model. Fundraising is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Fundraising in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ericrisco/rsc-harness/tree/main/skills/fundraising. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Fundraising?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Fundraising?

As many as you like. As long as a model supports skills, you can use Fundraising with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Fundraising AI skill free?

Yes. It is published on GitHub by ericrisco under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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