Open Source Prompt Builder
Quickly draft prompts for your SaaS
What it does
Hey PH! This a small open source project that we're releasing. It's an adaption from a tool that've been using internally to manage our prompts. Feel free to fork it and adapt it to your own needs, or suggest prompts by adding them in the presets.jsx.
Does a similar job
all alternatives →- ASA simple ChatGPT prompt builder2024 · mitenmit.github.io · ▲280
Any Ideas/Suggestions are welcome :)
Prompt Builder – Free Templates13d ago · 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…
- PAPrompt Apps – Ready-to-Use Generative AI Apps from Prompt2023 · chatgpt-prompt-apps.com · ▲16
Even if you're not a Prompt whiz, you can still get top-notch results just like the pros. This Product will handle internally handle boring And Cognitively demanding prompt Engineering. Just pick a service, fill in the keywords, and get the desired result! Open Source , Free , Privacy Friendly , Crowd Source Prompts, No Login Required. You can submit Features(https://prompt-apps.canny.io/feature-requests?sort=top) and Prompts (https://prompt-apps.canny.io/prompt-conversion?sort=top)
Prompt Builder: Long-Context Prompts2025 · ▲12Build rich, multi-file LLM prompts from a single interface
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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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Source: Product Hunt launch ↗
Launched alongside, March 2024
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