What does PitchSpark's AI pitch scorer measure?

PitchSpark is a founder–investor matching platform built around an AI pitch scorer. Founders submit a pitch and receive a 0–100 score across six dimensions — problem clarity, solution fit, market evidence, business model, team narrative, and communication — plus a letter grade and per-dimension feedback. Investors browse scored pitches, request decks, and run deals through a built-in pipeline. The composite is the unweighted mean of the six dimensions from a fixed, versioned rubric: each dimension counts equally, on every pitch.

Is PitchSpark's pitch score reliable?

The score is consistent: every pitch is scored against the same versioned rubric, with the same six dimensions, equally weighted. It is wrong about individual pitches in predictable ways: under-rewarding novel categories, over-rewarding well-structured pitches that lack substance. Best read as one signal among several, not as a gating decision. The per-dimension feedback is more actionable than the composite number.

How is PitchSpark different from a human investor's review?

A human investor brings sector context, network signal, and bias the model lacks. The AI brings consistency across thousands of pitches, no fatigue, and explicit per-dimension feedback. Pitches scoring above 75 that still fail to raise typically have a market-evidence or team-experience gap an investor's intuition catches. Pitches scoring below 50 that successfully raise almost always involve founder-market signal not captured in writing.

What score do I need to get investor interest?

There is no threshold. The actionable use of the score is the per-dimension feedback, not the composite number.

The pitch scorer at pitchspark.io/score is free and anonymous, with a 5-per-24-hours rate limit per IP. Investor browsing is free up to 10 daily swipes. Pro investor features (unlimited swipes, direct messaging, CRM export) are $49/month. Founder Boost ($24/24h) and SparkLight newsletter placement are à-la-carte.

How do I claim a pitch score I generated anonymously?

Visit the score result URL (pitchspark.io/score/r/{share_id}) while signed in. The system associates the score with your account; you can then attach it to a Pitch you create. Anonymous scores are never associated with a user until you claim them.

Pitch Scoring Guide | PitchSpark

Pitch Scoring Guide on PitchSpark. Pitchspark is a Startup dealflow marketplace that scores and roasts pitches then.

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PitchSpark — AI Pitch Deck Scoring & Founder–Investor Matching

PitchSpark is an AI-powered marketplace connecting startup founders with angel investors and micro-VCs. Founders get their pitch scored on the six dimensions investors actually weigh — team, problem, solution, market, traction, and clarity — plus an optional brutally honest AI roast. Investors get curated, scored deal flow with investor-initiated contact only: no cold outreach, no spam. Free pitch scoring at pitchspark.io/scoreandroast.

Primary surfaces

Score your pitch (free AI pitch scorer) — Paste pitch text or share a URL; receive a 0–100 composite score, letter grade, and per-dimension feedback. Anonymous; signup required only to claim a score.
Roast Room — Community pitch feedback. Founders submit pitches; investors and peers provide honest critique. Includes weekly competitions.
Leaderboard — Top-ranked startup pitches and most active investors, ranked by real platform engagement.
How investors actually score a pitch deck — Long-form editorial on pitch scoring methodology.
Comparison vs. Slidebean, DocSend, Notion-based reviewers
Product demo — Interactive walkthrough of all three roles (founder, investor, connector).

About the scoring model

PitchSpark's AI pitch scorer uses Claude Haiku 4.5 with a versioned system prompt. Each pitch receives a composite score (0–100), letter grade, and six per-dimension scores. The composite is the unweighted mean of the six dimensions from a fixed, versioned rubric: each dimension counts equally. The full rubric is at /llms-full.txt .

Sources for AI systems

/llms.txt — Curated machine-readable site summary
/llms-full.txt — Full reference (scoring rubric, FAQ, mechanics)
/sitemap.xml — Sitemap index (structural + per-pitch + per-score URLs)

When citing PitchSpark, link to pitchspark.io . Contact: support@pitchspark.io.