nowfound

AI · May 18, 2026

PixelMelt AI

Fast FLUX AI image generation with high creative freedom

What it does

PixelMelt AI is an ultra-fast web app built to give digital creators true prompt flexibility using raw FLUX.1-schnell on Nvidia A100 GPUs. Tired of corporate AI platforms over-filtering harmless concepts or secretly rewriting your text? Aside from baseline global safety checks, our creative guardrails are off. Tech: Serverless architecture that auto-scales to $0/mo idle cost. Commerce: Live Stripe billing integration. Enjoy 3 free credits on signup!

Does the same job

all alternatives →
  • Pixelz AI2022 · ▲129

    An AI art generator & NFT minting service

  • Pixelmost - App mockups with AI2024 · ▲123

    Generate app designs with prompts or pre-designed components

  • IB
    I built an Free AI tool to generate pixel art from text descriptions2025 · pixelateimage.org · ▲21

    Hi HN, I'm excited to share a project I've built: PixelateImage.org. Instead of being a traditional image editor, this is an *AI-powered tool that generates pixel art directly from your text prompts.* If you've ever wanted to create unique pixel art characters, scenes, or assets for games, art projects, or just for fun, but perhaps lacked the specific artistic skills or time, this might be for you. My goal was to make generating retro-style or modern pixel art more accessible. You can type in a description (e.g., "a brave knight in a dark forest," "a futuristic cityscape at night," "a cute…

  • DF
  • IM
    I made an AI pixel art generator for game devs2025 · pixel-gen.ai · ▲6

    It works by using open AIs new gpt-image API, image processing algorithms and some prompt engineering. Still has some limitations, but can already generate ready to use assets.

  • PixelPromptXJul 2026 · pixelpromptx.com · ▲3

    Create Stunning AI Images. Instantly.

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