
zerodatatools
Free browser utilities. No account. No server. Ever.
zerodatatools launched on July 1, 2026 with 2 votes.
What it does
Free browser tools for developers and AI practitioners. No account. No backend. No data leaves your device. Three tools live now: - Prompt Constructor — block-based LLM system prompt builder, export as Markdown/XML/plain text - Data Converter — CSV, JSON, Excel conversion, fully local - MCP Scaffold Generator — TypeScript, Python (FastMCP), or SKILL.md boilerplate Single HTML file. Works offline.
Free browser utilities that process your data locally. Visual Prompt Constructor, CSV to JSON Converter, MCP Scaffold Generator. No signup. No server. No exceptions.
Build structured LLM system prompts with typed blocks. Role, context, constraints, format — composed visually. Convert CSV and Excel files to precisely typed JSON. Schema control, type enforcement, primary key indexing. Generate production-ready MCP server boilerplate (TypeScript, Python FastMCP) or Claude SKILL.md files. All processing happens in your browser. Nothing is transmitted to any server. Ever. Click a block type in the left panel to start building your prompt. Add blocks to see your prompt here. Copy Prompt Download .txt Saved you time? Keep it free. Click a block type in the left palette to add it to the canvas. Type your content, drag to reorder, toggle blocks on/off without…from sidehustlers113-ux.github.io
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PromptTools – open-source tools for evaluating LLMs and vector DBs2023 · github.com · ▲211Hey HN! We’re Kevin and Steve. We’re building PromptTools (https://github.com/hegelai/prompttools): open-source, self-hostable tools for experimenting with, testing, and evaluating LLMs, vector databases, and prompts. Evaluating prompts, LLMs, and vector databases is a painful, time-consuming but necessary part of the product engineering process. Our tools allow engineers to do this in a lot less time. By “evaluating” we mean checking the quality of a model's response for a given use case, which is a combination of testing and benchmarking. As examples: - For generated…
Prompt Builder – Free TemplatesAug 2026 · promptbuilder.space · ▲21Hi HN, I built Prompt Builder (https://www.promptbuilder.space/) because I was frustrated managing complex AI prompts in plain text boxes. The core idea: instead of one giant textarea, you compose prompts from draggable, reorderable blocks. Each block can have its own XML/custom tags, visibility toggles (so you can A/B test sections), and duplicates. Key technical details: - Live compiled preview: the right pane shows the exact string being sent, updating as you drag/toggle blocks - Dynamic variables: define {{var_name}} once, use across blocks, change in one…
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We built a no/low-code tool that lets you spin up MCPs from a single prompt. MCPs give LLMs access to tools, data, and actions—but they’re hard to build and deploy. Our tool abstracts that: describe what you want, and it auto-generates and hosts the necessary components. No UI flows, no manual chaining—just prompt and go. Examples: • Pull email, parse a DocSend, check Reddit, draft reply • Extract data from a niche site + send a Slack alert • Combine tools without writing glue code Live demo: https://www.youtube.com/watch?v=4uCiaQrgfoE Built over a weekend after getting…


System Prompt2025 · systemprompt.app · ▲8Hi HN, Why I got tired of wasting time typing the same instructions to an LLM. "Proofread this," "Summarize that," "Translate this." What I built System Prompt: a free, open-source tool to create reusable AI workflows. It runs 100% in your browser, so your data and API keys stay with you. How Instead of always retyping "Proofread this text and correct it in a professional tone...", you create a reusable workflow in a 2 clicks. It's a node-based editor where you can add prompt nodes, AI nodes (for any model), and connect them. Everything is saved locally in your browser. GitHub:…
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