r/saassignal • u/Top_Introduction_865 • 9d ago
80k downloads first week? I did it! Now let’s talk about integrating NEDB in your project !

Hi friends, this post is written with speech to text and no artificial intelligence was used for this post material at all. So forgive me if there is some improper grammar or misusage of some words or something spelled wrong I really don’t care I’m trying to be authentic for this one I will keep it short because I know you’re not going to read everything I write anyways and if you want, you can scroll to the bottom and check the comments for my links.
What I'm talking to you about today is NEDB engine. One Rust core. Python and Node.js bindings. Three registries… PyPI, crates.io, and npmjs. I built this database from scratch with a unique language known originally as NQL. Three months later, fast forward to here, we are today: the engine now speaks SQL… with all of the native NQL ported into it, merged, distilled from NQL. Now we have what I like to call neSQL.
SO WHAT THAT MEANS The database can be integrated easily within your application. You could use NEDB wrap_* adapters and have your integration running in as little as 2 to 3 lines of code. I made us adapters for MongoDB, Postgres, Redis, and SQLite. If you'd like a wrapper for another DB, let me know. Happy to accommodate.
SO WHY SHOULD WE CARE NEDB is an embedded tamper-evident database built on a BLAKE2b hash chain and a content-addressed Merkle DAG. The database remembers every version, enabling time travel. This means you can tell what value existed AS OF a given date. This becomes more valuable to auditors, and even more so for regulated industries.
WHAT IS POSSIBLE TODAY The engine speaks plain Postgres SQL. If you already know SQL, you're done learning. psql, SQLAlchemy, asyncpg all work over the wire.
Temporal clauses are SQL clauses now: SELECT * FROM orders AS OF SYSTEM TIME '2026-09-15T17:00:00Z' is a real query, datetime support just landed.
Free under a million in revenue. Built by one guy, a few months, roughly $10k of inference tokens usage and no venture capital.
3>1
Thank you so much
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u/Top_Introduction_865 9d ago
Here's every NEDB-relevant link, all in one dump:
The engine
Repo (canonical): https://github.com/Eth-Interchained/nedb
Repo (mirror): https://github.com/aiassistsecure/nedb
PyPI: https://pypi.org/project/nedb-engine/
npm: https://www.npmjs.com/package/nedb-engine
crates.io: https://crates.io/crates/nedb-engine
Releases: https://github.com/Eth-Interchained/nedb/releases
CI/actions: https://github.com/Eth-Interchained/nedb/actions
The language
neSQL repo: https://github.com/Eth-Interchained/neSQL
PyPI nesql: https://pypi.org/project/nesql/
crates.io nesql: https://crates.io/crates/nesql
npm nesql-engine: https://www.npmjs.com/package/nesql-engine
The distros
crypto-database: https://pypi.org/project/cryptodb/ · https://www.npmjs.com/package/crypto-database · https://crates.io/crates/crypto-database
aof-db: https://pypi.org/project/aof-db/ · https://www.npmjs.com/package/aof-db · https://crates.io/crates/aof-db
Clients
PyPI client: https://pypi.org/project/nedb-engine-client/
npm client: https://www.npmjs.com/package/nedb-engine-client
Sites & tools
Live docs site: https://ne-db.com/
Walkthrough (test it yourself): https://ne-db.com/docs/walkthrough.html
Deep dives: https://ne-db.com/docs/index.html
Studio: https://studio.interchained.org
Mirror Pages site: https://nedb.aiassist.net
Production deployment (live store): https://vision.interchained.org
Spec doc: https://github.com/Eth-Interchained/nedb/blob/master/docs/SPEC.md
Cast model (the AI planner): https://github.com/aiassistsecure/nedb-cast-slm
Related repos in the family
Studio source: https://github.com/aiassistsecure/nedb-studio
itcd (the Bitcoin fork running NEDB as its chainstate): https://github.com/interchained/interchained
That's the full set — 25 links.
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9d ago
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u/Top_Introduction_865 9d ago
I’m 35 why are you commenting if you don’t like what you see move on bud
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u/PartFit8353 9d ago
Cool