Viewing profile — tbrannan
tbrannan
HN member- Joined
- Fri, Apr 05, 2024, 2:36 AM UTC
- HN karma
- 17
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- 17 items
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About tbrannan
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Recent public activity
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Comment #46529033
Great minds think alike!
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Comment #46528998
because it is, but its still true lol
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Comment #46521190
Thanks!! means a lot coming from you. Best of luck at Supabase.
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Comment #46516543
Really appreciate the input. I'll make sure to give you early access once we implement this, I'll keep you posted.
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Comment #46516339
Noted, we've been focused on Postgres first but SQL Server keeps coming up. Appreciate the feedback.
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Comment #46515276
I haven’t come across anything else like this. It’s genuinely impressive.
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Comment #46514602
This is useful. What if you ran a CLI locally that extracts just the statistical profile from prod cardinality, relationship ratios, etc. and uploaded that? We'd never touch your d…
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Comment #46513882
Not yet, but you're the second person in this thread to call out distribution control as a gap. It's on our radar now. Thanks for the feedback.
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Comment #46513273
That is a really good point one-to-many relationships blow up fast. The trunk table idea is interesting, would simplify how people reason about limits. Appreciate the feedback, gen…
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Comment #46513249
Appreciate the Snaplet comparison, they were doing good work. You're right that realistic looking strings are the easy part. We're focused on relational integrity first (FKs, const…
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Comment #46513145
Different focus, ShadowTraffic is config-driven and optimized for streaming/Kafka workloads. We're schema-driven: point us at your DDL and we generate relational test data automati…
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Comment #46513081
Thanks for the feedback! Honestly, we're still dialing in the tiers, what row limits would feel reasonable to you for your use case? Always helpful to hear what people actually nee…
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Comment #46512572
Thanks! At 1M rows, I think a few things matter: Streaming: Can't hold it all in memory. Generate in chunks, write, release, repeat. Format choice: Parquet with row groups is fast …
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Comment #46512308
Thanks! To clarify, the core engine isn't AI. It's deterministic pattern matching, so it runs in milliseconds with no token costs. There's an optional "Story Mode" that uses AI for…
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Show HN: DDL to Data – Generate realistic test data from SQL schemas
I built DDL to Data after repeatedly pushing back on "just use production data and mask it" requests. Teams needed populated databases for testing, but pulling prod meant security …
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Comment #46505160
I recently learned about the hooks and skills feature. This is cool