nowfound

AI · May 19, 2026

DataCreator AI

Synthetic Data Generation for Modern AI Workflows

DataCreator AI launched on May 19, 2026 with 11 votes, #1,153 of 20,538 launches that month and more than 90% of that year's launches.

What it does

Quality > Quantity 🌱 Don’t spend your weekends manually collecting, cleaning, formatting, and expanding datasets for AI systems. DataCreator AI helps developers and AI teams generate high-quality synthetic datasets for training, fine-tuning, and evaluation workflows with continuous refinement, quality reviews, and diversity-focused data generation, so you can spend more time building models instead of preparing data.

DataCreator AI helps you generate high-quality synthetic data for machine learning and AI systems.

Does a similar job

all alternatives →

More ai this month

the category →
  • Video model that turns script into viral social media videos

    AI · 18d ago · spira.ai

  • The browser where Claude Code and Codex work beside you

    AI · 18d ago · rill.love

  • Kolibri is Aleph Alpha

    AI · 20d ago · tej.as

  • Paintings by AI models: programs run through a simulation of oil paint.

    AI · 21d ago · stillwet.art

  • A real-time world model you can explore and change

    AI · 30d ago · world.pixverse.video

  • Beam.win▲378

    Run AI agents on one Mac and use its windows on another

    AI · 4d ago · beam.win

Source: Product Hunt launch ↗

Launched alongside, May 2026

the whole month →
  • Brew ▲900

    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

  • StoreClaw▲806

    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

  • 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

  • 🌱 Private, quiet space for thinking. Simple app for .md files. - zakirullin/files.md

    Dev tools · May 2026 · github.com