
GapSpot AI
92% of startups fail. Don't be one of them. Try GapSpot.ai
What it does
92% of SaaS startups fail because they build something no one needs. GapSpot fixes that. It replaces weeks of manual research with clear, evidence-based SaaS opportunities pulled from real conversations, so you start with what people actually want. Get auto-generated summaries, product ideas, MVP guides, and market insights from real user pain points. Search by niche or subreddit and export your research. Don't Be The 92%. Build with data, not assumptions.
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- WUWe used investor tools to find the best startups to work at2022 · joinmaasive.com · ▲29
hey y'all -- can you please tell us if our job search tool sucks? :D we built it using an investor platform called Harmonic.ai to gather startup data, then contextualize it so that job seekers could find out about the most exciting startups hiring first (like if they just raised, growing headcount fast, have an ex-unicorn founder, etc). pretty sure we're the first platform doing anything like this. anyway, let me know what you think. really excited to launch this thing soon! getting feedback from the hn community first is really fun :)
rule30: Would we back your startup + whyDec 2025 · ▲46Share your LinkedIn. Receive a decision + reasoning in 24h.
- IMI 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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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…
AI · 27d ago · cactuscompute.com

