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I made an open-source synthetic text datasets generator

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I made an open-source synthetic text datasets generator

Many LLMs projects suffers due to the lack of custom datasets: - no labelled data at all - lack coverage and diversity in existing data - Data collection and annotation processes are slow and boring - Not enough examples to fine-tune or evaluate LLMs… So I built datafast, an open-source library for synthetic text datasets generation. Right now it supports 5 datasets types: - Text Classification Dataset - Raw Text Generation Dataset - Instruction Dataset (Ultrachat-like) - Multiple Choice Question (MCQ) Dataset - Preference Dataset And more to come. Currently supported LLM providers for generation are: - OpenAI - Anthropic - Google Gemini - Ollama (local LLM server) There is more to come but I am not in a rush for features. I seek data quality, data diversity and reliability over quantity. I don't measure success by shipping more features: I succeed if it works when you try it out, and if you actually use it. Hope you like that!

Visit productView on Hacker NewsMay 27, 2025
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Indie HackersFits the IH revenue-focused audience · Strong signals: supports, gemini · Missing: reddit linkedin, podcasting, created
89%89% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
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83%83% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
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TrustMRRLess likely to generate early MRR · Strong signals: google · Missing: mobile apps, ios, personal
43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
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