Training Data & Labeling · Launched on Show HN
Launch channelProduct Hunt114Show HN13TrustMRR4DevHunt2IndiePage2App Store1BetaList1Fazier1Microlaunch1
13 products
| Product | Tagline | Visits · Oct | MoM | Domain reg. | Revenue | Actions |
|---|---|---|---|---|---|---|
| T | Unblock your data pipelines with real fake data. | 60.1K | Down13.1% | 2017-12 | Undisclosed | |
| D | Everything you need to manage AI data & models | 43.6K | Down12.7% | 2018-12 | Undisclosed | |
| D | API to livestream human preferences for training and evaluating multimodal models | 5.6K | Down27.1% | 2026-02 | Undisclosed | |
| G | Data with the story already in it. | <5K | Prev <5K | 2025-06 | Undisclosed | |
| S | Realistic multi-table test data with foreign keys intact. Every dataset's first 20,000 rows are free, no credit card. Design visually or in plain English, then export to 7 SQL dialects, CSV, JSON, JSONL and Parquet. | <5K | Prev <5K | 2025-05 | Undisclosed | |
| V | Your agents can't read the internet. Vesper can. | <5K | Prev <5K | 2026-03 | Undisclosed | |
| R | AI for the physical world. | <5K | Prev <5K | 2019-04 | Undisclosed | |
| V | Label your data with an offline AI copilot | <5K | Prev <5K | 2025-05 | Undisclosed | |
| c | Categorize data, effortlessly | <5K | Prev <5K | 2023-06 | Undisclosed | |
| M | Turn text into structured data, without the hassle. | <5K | Prev <5K | 2019-02 | Undisclosed | |
| s | Hi HN, I built Sieves, an open-source Python library that makes it easy to build structured document AI pipelines without locking yourself into any specific LLM framework. You can mix and match model frameworks (Outlines, LangChain, DSPy, GLiNER2, Transformers) for different tasks while keeping one declarative pipelin… | <5K | Prev <5K | 2025-01 | Undisclosed | |
| S | Synthetic test data from your schema, with every foreign key intact. | <5K | Prev <5K | 2026-03 | Undisclosed | |
| S | Foundation AI models for generating biomedical images. | <5K | Prev <5K | 2023-02 | Undisclosed |