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Paste your startup pitch, get a VC-readiness score (0–100)

Paste your startup pitch, get a VC-readiness score (0–100)

by akshay_bhardwaj·Feb 19, 2026·2 points·1 comment
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AI Analysis

●MidBold Bet

Automated IC screen is clever, but founders won't trust AI scoring over real feedback.

Strengths
  • •Rubric forcing (Genesis vs. Velocity) shows thoughtful structure for different stages
  • •Free score + verdict lowers friction; $49 IC memo is sensible monetization gate
Weaknesses
  • •LLM-as-judge is brittle—scores will vary by model version, prompt drift is real risk
  • •No evidence of calibration: are these scores actually predictive of funding success?
Category
SaaS
Target Audience

Early-stage founders pitching to VCs, founders refining pitch clarity

Similar To

Pitch evaluation APIs · Automated startup scoring tools

Post Description

Hi HN,

I’m a technical founder who also does early-stage investing. I read a lot of cold pitches and a big chunk fail on basic clarity (“what are you building?”) or “why now?”.

So I built a small tool that behaves like a cynical automated IC screen. Paste your elevator pitch, and it returns a VC-readiness score (0–100) and a blunt one-line verdict.

https://gias.co/score

Under the hood it’s an LLM-as-judge setup with two rubric modes: Genesis (pre-seed: insight/wedge/team) and Velocity (seed: traction/distribution/moat). Output is forced into a strict JSON schema and validated server-side.

It’s free for score + verdict. For transparency: there’s an optional paid upgrade ($49) that generates a longer “Confidential IC Memo” (bear case, bull case, partner rewrite) emailed to you, mainly to cover API costs and because it acts as a high-intent filter.

If you can break it (prompt injection / weird formatting/edge cases), I’d genuinely love to see it. I’m still tuning calibration, so feedback on where it’s unfairly brutal or misses nuance is super helpful.

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