KillMyIdea
A rapid startup idea validation tool evaluating pitches across 10 parallel criteria using TypeSafe's deterministic Jev model.
- models
- TypeSafe Jev
- author
- stemonte
- platforms
- Web
- price
- Free (Open Source)
- latency
- ~539ms
- output
- Quantitative 0–100 score (Non-generative)
- published
- 2026-09-20
- updated
- 2026-09-20
What it is
KillMyIdea is an open-source proof of concept designed to stress-test TypeSafe's non-generative Jev model. Instead of relying on a traditional conversational LLM that outputs conversational reasoning, it takes an idea pitch and runs roughly 10 targeted evaluation questions in parallel. In a fraction of a second, the system returns a composite numerical score from 0 to 100 along with granular diagnostic classifications (such as "SHIP IT" or "FIX IT").
Core value proposition
- Zero generative chatter: Eliminates conversational fluff and prompt drift by using a deterministic model that outputs solely quantitative probabilities rather than text.
- Sub-second parallel evaluation: Runs all evaluation queries concurrently, delivering comprehensive multi-axis feedback in roughly 500 milliseconds instead of 30 to 60 seconds.
- Weighted multi-factor rubrics: Scores independent axes like Demand, Customer Clarity, and Buildability on fixed 0–4 scales, applying heavier weights to critical factors such as market need and real problems.
- Goal-aware calibration: Supports project goals (such as Open Source or Just for Fun) to prevent penalizing ideas that intentionally avoid monetization.
What it can replace
| Target software | Feasibility | Verdict & use-case context |
|---|---|---|
| Standard LLM validation prompts (ChatGPT / Claude) | Partial | Replaces slow 30–60 second generative answers with instant deterministic classification, though without qualitative explanations. |
| Manual idea-scoring spreadsheets | High | Replaces manual rubric scoring for rapid gut checks during hackathons or initial brainstorming sessions. |
| Human mentor pitch review | Low | Cannot replace deep market research, domain regulatory expertise, or contextual nuance. |
Current realities and limitations
- Evaluates the pitch, not the market: The underlying model evaluates the descriptive phrasing of the pitch against calibrated linguistic rubrics; it does not query live market data or verify external reality.
- Blind to domain regulations: Specific barriers like regional compliance, licensing, or complex legal hurdles are not automatically factored in unless explicitly detailed in the prompt.
- Lack of qualitative narrative: Because the model returns only numbers and discrete levels, users receive no direct written explanations for why a specific metric received a low score.
- Heuristic weighting: The composite score is derived from an author-defined weighted average rather than an established venture capital benchmark.
Verdict
Primary recommendation Use KillMyIdea as a lightning-fast, objective sanity check to spot weak phrasing or poorly defined target audiences before drafting comprehensive proposals.
KillMyIdea proves that non-generative evaluation models like Jev can slash latency and eliminate non-deterministic variance in automated workflows. While it should not be treated as an authoritative market verdict, it serves as an effective first-pass triage filter for developers, founders, and agent pipelines.
Development lifecycle and iteration loop
The project was implemented as an open-source web application (killmyidea source code) to experiment with direct access to TypeSafe's Jev model. Iterations on community feedback included adding a "Refine Idea" workflow and optional goal parameters to adjust scoring logic for non-commercial projects.
| Stage | Model used |
|---|---|
| Rubric formulation & question design | General LLM (GPT) with author refinement |
| Real-time parallel classification | TypeSafe Jev |
| Final score aggregation & thresholding | Client/server algorithmic weighting (TypeScript) |
Metrics and monetization
- Pricing: Completely free to use.
- Licensing: Open source under an accessible public repository.
- Performance: Capable of evaluating 10 distinct rubrics concurrently within roughly 539 milliseconds.
- Monetization: No direct monetization; built as a technical demonstration and POC for developer feedback.
Community reception and key debates
- Deterministic predictability: Developers praised Jev's parallel speed and non-generative nature, noting its potential as a deterministic guardrail for agentic architectures.
- Scoring skepticism: Commenters initially questioned whether scores differed meaningfully from pseudo-random numbers, leading the author to clarify the calibrated 0–4 rubric mechanics.
- Data harvesting concerns: Some users hesitated to submit proprietary startup ideas, prompting the author to highlight an explicit opt-out toggle that prevents pitch storage.
Sources
- [1]
- [2]KillMyIdea — source codeGitHub
Related cases
- → KageExperiment
- → AI Fishing GameExperiment
- → Interactive Along the River During the Qingming FestivalExperiment