IdeaScope

What it does

IdeaScope helps founders validate startup ideas before they build. Generate and explore ideas for free, then run structured research on the ideas worth deeper evaluation. Each run produces a decision-ready pack covering market, competitors, risks, and next steps.

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  Validate My SaaS2024 · ▲286

  Validate before you build, not after you ship

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  I made a tool to help collect and validate startup ideas2024 · keepmyidea.app · ▲38

  Hey HN, I’m Kyrylo. I recently created a small tool that lets you gather, refine, and validate SaaS/startup ideas using AI. I used to jot down my product ideas in a note apps, but it wasn’t very practical for collecting feedback or refining them. So, I built this tool to make the process easier. Here’s how it works: 1. Enter a brief description of your idea. 2. The app uses AI to generate project details. 3. Share your idea via a link that includes a feedback form. It’s pretty straightforward, and I’d love to hear your thoughts or any suggestions!

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  IdeaCheckJun 2026 · ideacheck.co.in · ▲6

  IdeaCheck — Validate your startup idea in 10 seconds

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  LaunchScoreFeb 2026 · launchscore.app · ▲8

  Validate startup ideas before you write a line of code

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  IdeahuntMar 2026 · ideahunt.world · ▲10

  Validate ideas before you build

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  IdeaCrystalJul 2026 · ideacrystal.com · ▲13

  Validate your idea with real market data before you build

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  I trained a 125M model to autocomplete piano on-device▲598

  I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.

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  Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…

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