This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
SyntheholDB
Generate Production grade synthetic data in minutes
SyntheholDB is a relational synthetic database generation engine. Describe your schema in plain English or start from templates and CSVs. Get linked tables with referential integrity, built-in privacy and quality checks, and real-time generation. Export to PostgreSQL, MySQL, CSV, or Parquet.
Hey Product Hunt! I am Jitendra, co-founder of Synthehol.
We built SyntheholDB after watching ML and AI teams fail in production because their test data did not match real-world complexity. Most synthetic data tools generate flat files, but AI systems depend on multiple interconnected tables, schema consistency, and production-like data flows.
SyntheholDB solves this by letting you design and generate realistic, privacy-safe relational databases in minutes using natural language.
Key features:
- Natural language schema design (no SQL needed)
- Linked tables with referential integrity preserved
- Real-time fidelity, privacy, and utility scoring (99.8% fidelity typical)
- Export to PostgreSQL, MySQL, CSV, Parquet
- Built-in GDPR, HIPAA, and SOC 2 compliance
We are offering Product Hunt folks an exclusive 14-day free trial with 20K rows (double our standard trial). No credit card required.
Try it here: https://db.synthehol.ai/
Would love your feedback and happy to answer any questions about synthetic data, privacy compliance, or scaling test data for AI systems!
I own GTM for SyntheholDB, so I've stress-tested it from both the commercial and technical side.
The core problem we kept hitting was demo environment fidelity. Prospects in fintech and healthcare want to see their data model reflected in the demo realistic distributions, correct relational structure, edge cases that match their domain. Handwriting that kind of seed data is slow and breaks the moment the schema shifts. Copying production is faster but immediately creates a compliance surface you can't defend in a regulated sales cycle.
SyntheholDB solves this at the architecture layer, not the policy layer. You feed it a schema plain English or CSV and it generates relationally consistent rows where foreign keys resolve correctly, value distributions reflect your business logic, and statistical patterns hold across linked tables. The built-in PII detection scan runs pre-export, so nothing that resembles a real identifier makes it into the output.
For a GTM workflow specifically, the impact was immediate. Demo environments that used to take a day to seed properly now take under five minutes. CI pipeline test data stays in sync with schema changes without manual fixture updates. And sales calls into HIPAA and GDPR regulated accounts got significantly cleaner because the compliance conversation around demo data essentially disappears.
Free tier is live, no card neede, genuinely worth ten minutes of your time.
“Generate Production grade synthetic data in minutes”
SyntheholDB was submitted on Product Hunt and earned 5 upvotes and 2 comments, placing #91 on the daily leaderboard. SyntheholDB is a relational synthetic database generation engine. Describe your schema in plain English or start from templates and CSVs. Get linked tables with referential integrity, built-in privacy and quality checks, and real-time generation. Export to PostgreSQL, MySQL, CSV, or Parquet.
SyntheholDB was featured in Developer Tools (512.6k followers), Artificial Intelligence (468.7k followers) and Database (2.1k followers) on Product Hunt. Together, these topics include over 163.7k products, making this a competitive space to launch in.
Who hunted SyntheholDB?
SyntheholDB was hunted by Jitendra Devabhaktuni. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Jitendra Devabhaktuni