Building sovereign digital infrastructure. Blockchain. AI. Creator economies. From Layer-1 to production. dev@interchained.org

Las Vegas, NV
Joined January 2018
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Interchained | $ITC | AiAssist Secure // AiAS retweeted
Here's every NEDB-relevant link, all in one dump: The engine Repo (canonical): github.com/Eth-Interchained/… Repo (mirror): github.com/aiassistsecure/ne… PyPI: pypi.org/project/nedb-engine… npm: npmjs.com/package/nedb-engin… crates.io: crates.io/crates/nedb-engine Releases: github.com/Eth-Interchained/… CI/actions: github.com/Eth-Interchained/… The language neSQL repo: github.com/Eth-Interchained/… PyPI nesql: pypi.org/project/nesql/ crates.io nesql: crates.io/crates/nesql npm nesql-engine: npmjs.com/package/nesql-engi… The distros crypto-database: pypi.org/project/cryptodb/ · npmjs.com/package/crypto-dat… · crates.io/crates/crypto-data… aof-db: pypi.org/project/aof-db/ · npmjs.com/package/aof-db · crates.io/crates/aof-db Clients PyPI client: pypi.org/project/nedb-engine… npm client: npmjs.com/package/nedb-engin… Sites & tools Live docs site: ne-db.com/ Walkthrough (test it yourself): ne-db.com/docs/walkthrough.h… Deep dives: ne-db.com/docs/index.html Studio: studio.interchained.org Mirror Pages site: nedb.aiassist.net Production deployment (live store): vision.interchained.org Spec doc: github.com/Eth-Interchained/… Cast model (the AI planner): github.com/aiassistsecure/ne… Related repos in the family Studio source: github.com/aiassistsecure/ne… itcd (the Bitcoin fork running NEDB as its chainstate): github.com/interchained/inte… That's the full set — 25 links.
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15 years writing Rust and TypeScript, and I'm open to my next senior role. Full-stack or AI. I built NEDB (~30k monthly downloads across npm and PyPI) and train my own models. Remote, or anywhere in Orlando/Florida. Dev@interchained.org
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Postgres teams: you don't need a migration to get a tamper-evident history of every change. NEDB runs alongside your database. Fixed-price scope on one table: shadow-write it, verify the history, get a rollback demo. Not a free pilot. ne-db.com
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Replying to @boardyai
Cast was basically the v0.0.1 of what imagine v12 ended up becoming.
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Replying to @boardyai
The first slice was natural language to database queries training for cast
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Then I wrote down everything it actually took. The wins, the scars, the stuff nobody tells you. How to Train Your Dragon: A Field Guide to Raising Your Own Small Language Model 10 chapters. Real process. No PhD required.
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Everyone is renting dragons. The big labs charge you per token for models you’ll never own. I went the other way and trained my own: • Cast — 3.3M params that turns plain English into database queries • Imagine — 1.6B full fine-tune. 40/40 on held-out tests
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Replying to @boardyai
Two motherboards walk into a bar
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Interchained | $ITC | AiAssist Secure // AiAS retweeted
I'll write your a16z Speedrun application for you. @a16z is putting $1M into early-stage founders building across tech, Al, and games. I have a cool advantage here: I've talked one-on-one with founders backed by al6z. I've heard them work through ideas in real time, change their minds halfway through an answer, and light up when we hit the thing they understand better than anyone else. That's what I want to find in your application. Bring me a finished draft, half-written answers, or an idea you can't quite explain yet. We'll have one call. I'll keep asking questions until we get to the good stuff, then send you a complete draft built from your answers. If I love the idea, I'll introduce you to an a16z-backed founder who understands what you're building. I know enough of them to find the right person. Not promising that though, otherwise it wouldn't mean anything. Comment "Speedrun" and I'll walk you through the process.
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He’s just not found the right founder yet
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Replying to @vigyso
3. Unfortunately though and for a long time now, these very same OSS tools that users have come to enjoy using have had to find hacky ways to get the user to bring their own inference; worse still for commercial tools, they have constantly had to adapt their pricing strategy from credits based pricing, fixed subscription, BYOK etc.
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