DevTools
Fast, private, and client-side developer tools in one hub
DevTools launched on May 25, 2026 with 2 votes, #6,288 of 20,538 launches that month.
What it does
A comprehensive suite of 75+ free, fast, and private developer tools running strictly inside your browser. It includes a JSON formatter, JWT decoder, Base64 encoder, UUID generator, network utilities, and image tools. Designed with Next.js 15 and Tailwind v4 for instant loading, full offline PWA support, interactive command palette (Ctrl+K), and a built-in scratchpad drawer to boost your daily workflow. Zero data ever touches the server.
A comprehensive suite of free, fast, and private developer tools. Including JSON formatter, Base64 encoder, UUID generator, Case converter, Image tools, and 50+ more.
Over 60+ free, fast, and private tools for developers and content creators. Web tools run locally in your browser, and our API processes data securely with zero persistence. Instant results with zero server latency. Everything happens in your browser. Web tools process data locally in your browser. API payloads are handled securely without storing your contents. All 60+ web tools are completely free to use. Premium plans available for our Developer API. Count words, characters, and sentences in your text online for free. Our Word Counter is fast, secure, and works entirely in your browser. Convert between various units of measurement (length, weight, temperature, etc.). We compare the most…from dev-tools-tan.vercel.app
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Source: Product Hunt launch ↗
Launched alongside, May 2026
the whole month →
Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai
Hey 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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