Needle
Hi HN, I am Vaibhav - a founder based in Bangalore, India. Most founders build without knowing who their real competitors are or what users are actually asking for right now. We usually search Google, Twitter, Reddit manually and hope to catch signals - but it’s slow and incomplete, hence easy to miss important conversations.. This is exactly what Needle solves. I built Needle because I kept struggling to answer a basic question while building MoveOnFromYourEx (Ai tool that helps people move on after a breakup): "Where are the people who are already talking about the problem I am solving?" I…
Needle launched on June 18, 2025 with 21 votes, #752 of 7,999 launches that month and more than 90% of that year's launches. The site was still online in September 2026, 1 year on.
What it does
Needle - Find the right people in the noise through intelligent social media analysis. In a world of endless social media noise, finding meaningful connections is like finding a needle in a haystack. Needle helps you cut through the clutter.
Search Reddit, Hacker News, Stack Overflow & GitHub in one workflow. Ranked by buying intent - not keyword noise. Free Trending Problems preview. Plans from…
Free listing for verified startups and tools, community upvotes, and a backlink once approved. Sign in to submit your listing. Join 1,500+ founders and GTM teams already using Needle to find and close leads from socialfrom useneedle.net
In the maker’s words, at launch
Hi HN, I am Vaibhav - a founder based in Bangalore, India. Most founders build without knowing who their real competitors are or what users are actually asking for right now. We usually search Google, Twitter, Reddit manually and hope to catch signals - but it’s slow and incomplete, hence easy to miss important…
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Needle: We Distilled Gemini Tool Calling into a 26M ModelMay 2026 · github.com · ▲776Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
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Needle2: 14MB agentic LLM for phones, wearables, smart home and robotsAug 2026 · cactuscompute.com · ▲537Hey 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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