nowfound

AI · May 19, 2026

ProPrompt — Professional prompts.

Optimize AI prompts & stay updated with the latest AI news

What it does

ProPrompt.ai is an AI-powered prompt optimizer and generator. Paste any prompt and get an optimized version instantly. Choose from multiple optimization modes, browse a library of 135+ professional prompts across 5 sectors, or generate prompts from scratch. Works with ChatGPT, Claude and Gemini. Users bring their own API key so no hidden costs. We also feature a daily AI News section with the latest updates from the most relevant sources in the industry.

Does the same job

all alternatives →
  • PrompTessor2025 · ▲125

    AI Prompt Generator, Optimizer & Library

  • AIPromptGenJul 2026 · aipromptgen.xyz · ▲4

    Realistic AI prompt generator for ChatGPT and Midjourney.

  • ProenptJul 2026 · proenpt.vercel.app · ▲5

    Garbage In. Genius Out

  • RS
    RateMyPrompt – share and rate prompts with auto AI evals2025 · josh.ing · ▲10

    Couldn't find a reliable, free place to share & rate AI prompts so I thought I'd take a stab at it Already has 500+ prompts generated by AI using the latest model prompting guidelines 5 different supported prompt types: full prompt, enhancement, template, system, chain 20+ categories: coding, writing, marketing, business, creative, etc. Every prompt gets evaluated automatically by multiple AI models (Claude 3 + GPT-4 Mini, more to come) Then humans can rate and there is an overall score that takes both AI & humans into account AI eval prompt here:…

  • PromptGen AIApr 2026 · ▲3

    Generate Intelligent prompts for any AI - fast and precise

  • GPT Prompt MachineJun 2026 · gptpromptmachine.com · ▲4

    Stop rewriting AI prompts. Build, run, and deploy them once.

More ai this month

the category →
  • 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.

    AI · 17d ago · simedw.com

  • Astute585

    Automate your B2B brand going viral, with new media creators

    AI · 18d ago · company-app.joinastute.com

  • Grok Bot547

    AI teammates that you can give real work to

    AI · 25d ago · x.ai

  • 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

  • Monid474

    OpenRouter for agent tools

    AI · 6d ago · monid.ai

  • Turn website visitors into qualified pipeline

    AI · 19d ago · clarasdr.ai

Launched alongside, May 2026

the whole month →
  • Brew 905

    Like Claude design for email marketing

    AI · May 2026 · brew.new

  • Parallel agents, diff reviewer, and multi-model comparisons

    Dev tools · May 2026 · kilo.ai

  • StoreClaw805

    Grow your store profits with agents that know how to sell

    AI · May 2026 · storeclaw.ai

  • Give your agent a real number and voice to make calls.

    AI · May 2026 · pollyreach.ai

  • NW

    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…

    Life & fun · May 2026 · github.com

  • FM

    Dev tools · May 2026 · github.com