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.

PitchSpark

Pitchspark is a Startup dealflow marketplace that scores and roasts pitches then drops them in front of the right investors. Every pitch gets and answer. It gets funded or it gets feedback to help it evolve.

Pages

About — About on PitchSpark. Pitchspark is a Startup dealflow marketplace that scores and roasts pitches then.
Claim Pitch — Claim Pitch on PitchSpark. Pitchspark is a Startup dealflow marketplace that scores and roasts pitches then.
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Problem Slide Guide — Problem Slide Guide on PitchSpark. Pitchspark is a Startup dealflow marketplace that scores and roasts pitches then.
Pitch Deck Score Benchmarks — Pitch Deck Score Benchmarks on PitchSpark. Pitchspark is a Startup dealflow marketplace that scores and roasts pitches then.
Traction Slide Guide — Traction Slide 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.