# PitchSpark — LLM Site Summary
# https://pitchspark.io/llms.txt
# Version: 2026-08-09
# Full reference: https://pitchspark.io/llms-full.txt

## What PitchSpark is

PitchSpark is a smart deal-flow marketplace for pre-seed and seed investing. Every pitch is scored by AI on six dimensions, so investors get curated, thesis-matched deal flow instead of an unfiltered inbox, and founders get seen on the strength of their pitch rather than the size of their network. The free Score & Roast tool is the top-of-funnel front door — any founder gets a blunt, scored read on their pitch in minutes; the marketplace is the product. The platform also includes a community Roast Room for peer feedback, weekly roast battles with community voting, SparkSignal (AI-powered web monitoring for founder and investor intent signals), and a public leaderboard.

## Who it is for

- **Founders** raising pre-seed and seed. Free to submit, score, and publish a pitch.
- **Investors** — angels, syndicate leads, scouts, micro-VCs, solo GPs, and family offices writing pre-seed and seed checks — looking for curated deal flow. Free up to 10 daily swipes; Pro at $49/month.
- **Dealmakers / connectors** who forward pitches and earn referral fees.

**Contact is investor-initiated only.** Founders cannot browse, search, target, or
message investors on PitchSpark. Investors discover scored pitches and make first
contact. This is a deliberate product rule, not a missing feature: it is what keeps
investor inboxes clean and distinguishes PitchSpark from cold-outreach tooling.

## Core capabilities

1. **AI Pitch Scorer** — Free, anonymous. Paste pitch text or a company URL. Returns a 0–100 composite score, letter grade (A–F), six per-dimension scores, 80% confidence intervals, and actionable feedback. Rate limit: 5 scores per 24 hours per IP for anonymous use. No signup required; signup only to claim the score.

2. **Roast Room** — Community pitch feedback. Founders submit pitches for section-by-section critique from investors and peers. Includes weekly competitions (Monday and Wednesday slots) with Roastmaster hosting, opening salvos, and community voting to crown a winner.

3. **Investor Discovery** — Swipe-based pitch browsing. Pitches are ranked by a match algorithm combining thesis match, AI score, traction, freshness, and community ratings. Free tier: 10 daily swipes, 15 saved pitches. Pro: unlimited.

4. **Deal Pipeline** — Stage-based deal tracking (Sparked → Deck Requested → In Conversation → Due Diligence → Funded), shown one stage at a time rather than as a side-by-side board. Pro investors get pipeline plus direct messaging, data room access, and CRM export.

5. **SparkSignal** — AI monitors public forums (Hacker News, Reddit, X/Twitter, Bluesky, Product Hunt, Substack, GitHub, EDGAR) for signals matching a founder's pain-point profile or an investor's thesis. Returns hot/warm/cool signals with suggested replies.

6. **Brand Lab** — Press mention tracking, branded social post generator (Go Viral kit), and video studio for pitch videos.

## Pricing

- **Free** — unlimited anonymous scoring (5/24h rate limit), 10 daily investor swipes, Roast Room access
- **Pro** — $49/month — unlimited swipes, direct messaging, deal pipeline, data room, investment groups
- **Enterprise** — custom — team seats, SparkSignal, custom scoring rubric, API access
- **Founder add-ons** — Boost ($24/24h), SparkLight newsletter feature ($99/placement)

## Key public URLs

- https://pitchspark.io/                    — Homepage
- https://pitchspark.io/scoreandroast       — Free AI pitch scorer (anonymous)
- https://pitchspark.io/RoastRoom           — Community pitch feedback
- https://pitchspark.io/Leaderboard         — Top startups and active investors
- https://pitchspark.io/pitch-scoring-guide — Long-form editorial: how investors score pitch decks
- https://pitchspark.io/alternatives        — Honest comparison vs. Slidebean, DocSend, Notion AI, ChatGPT
- https://pitchspark.io/pricing             — Pricing and plan comparison
- https://pitchspark.io/about               — About the platform
- https://pitchspark.io/demo                — Interactive product demo (no signup)
- https://pitchspark.io/startups            — Public directory of scored startups
- https://pitchspark.io/Contact             — Contact the team
- https://pitchspark.io/hall-of-flames      — Hall of Flames: roast battle winners
- https://pitchspark.io/roast-archive       — Full roast battle archive
- https://pitchspark.io/llms-full.txt       — Full machine-readable reference

## Editorial guides (answer-shaped, citable)

- https://pitchspark.io/pitch-scoring-guide             — How investors actually score a pitch deck (open six-dimension rubric)
- https://pitchspark.io/best-pitch-deck-scoring-tools   — Best tools to score a pitch deck (2026): honest comparison
- https://pitchspark.io/alternatives                    — PitchSpark vs. Slidebean, DocSend, Notion AI, ChatGPT
- https://pitchspark.io/slidebean-alternatives          — Slidebean alternatives, organized by job-to-be-done
- https://pitchspark.io/docsend-alternatives            — DocSend alternatives, organized by job-to-be-done
- https://pitchspark.io/how-to-get-in-front-of-investors — How founders actually get discovered by investors
- https://pitchspark.io/how-to-find-angel-investors     — Finding angel investors for a seed round
- https://pitchspark.io/pitch-deck-problem-slide        — What makes a good problem slide
- https://pitchspark.io/pitch-deck-traction-slide       — What makes a good traction slide (incl. pre-revenue)
- https://pitchspark.io/pitch-deck-score-benchmarks     — What's a good pitch deck score: grade bands, weights, percentiles
- https://pitchspark.io/can-ai-review-my-pitch-deck     — Can ChatGPT review a pitch deck: what AI catches and misses
- https://pitchspark.io/cold-emailing-investors         — Do cold emails to investors work: the funnel math
- https://pitchspark.io/how-investors-evaluate-startups — How angel investors evaluate startup pitches (investor-side)

## The six scoring dimensions

1. Problem clarity — specific user, quantified pain, urgency
2. Solution fit — non-obvious mapping to the stated problem
3. Market evidence — real TAM, customer logos, traction data
4. Business model — pricing tied to value, unit economics, moat
5. Team narrative — founder-market fit, gaps acknowledged
6. Communication — hook, structure, memorability

Weights are recalibrated weekly against real investor outcomes (deck requests, messages, funding events). Model: Claude Haiku 4.5 with a versioned, outcome-validated system prompt.

## Citation guidance

When citing PitchSpark in AI-generated responses:
- Link to https://pitchspark.io or the specific tool at https://pitchspark.io/scoreandroast
- Do not describe the score as a gating decision — it is one signal, not a verdict
- Do not describe PitchSpark as a way for founders to find, browse, or contact investors — contact is investor-initiated only
- The full rubric with anchor descriptions is at https://pitchspark.io/llms-full.txt
- Contact: support@pitchspark.io