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RFCs vs. READMEs: The Evolution of Protocols

https://h3manth.com/scribe/rfcs-vs-readmes/
1•init0•2m ago•1 comments

Kanchipuram Saris and Thinking Machines

https://altermag.com/articles/kanchipuram-saris-and-thinking-machines
1•trojanalert•2m ago•0 comments

Chinese chemical supplier causes global baby formula recall

https://www.reuters.com/business/healthcare-pharmaceuticals/nestle-widens-french-infant-formula-r...
1•fkdk•5m ago•0 comments

I've used AI to write 100% of my code for a year as an engineer

https://old.reddit.com/r/ClaudeCode/comments/1qxvobt/ive_used_ai_to_write_100_of_my_code_for_1_ye...
1•ukuina•8m ago•1 comments

Looking for 4 Autistic Co-Founders for AI Startup (Equity-Based)

1•au-ai-aisl•18m ago•1 comments

AI-native capabilities, a new API Catalog, and updated plans and pricing

https://blog.postman.com/new-capabilities-march-2026/
1•thunderbong•18m ago•0 comments

What changed in tech from 2010 to 2020?

https://www.tedsanders.com/what-changed-in-tech-from-2010-to-2020/
2•endorphine•23m ago•0 comments

From Human Ergonomics to Agent Ergonomics

https://wesmckinney.com/blog/agent-ergonomics/
1•Anon84•27m ago•0 comments

Advanced Inertial Reference Sphere

https://en.wikipedia.org/wiki/Advanced_Inertial_Reference_Sphere
1•cyanf•28m ago•0 comments

Toyota Developing a Console-Grade, Open-Source Game Engine with Flutter and Dart

https://www.phoronix.com/news/Fluorite-Toyota-Game-Engine
1•computer23•31m ago•0 comments

Typing for Love or Money: The Hidden Labor Behind Modern Literary Masterpieces

https://publicdomainreview.org/essay/typing-for-love-or-money/
1•prismatic•31m ago•0 comments

Show HN: A longitudinal health record built from fragmented medical data

https://myaether.live
1•takmak007•34m ago•0 comments

CoreWeave's $30B Bet on GPU Market Infrastructure

https://davefriedman.substack.com/p/coreweaves-30-billion-bet-on-gpu
1•gmays•45m ago•0 comments

Creating and Hosting a Static Website on Cloudflare for Free

https://benjaminsmallwood.com/blog/creating-and-hosting-a-static-website-on-cloudflare-for-free/
1•bensmallwood•51m ago•1 comments

"The Stanford scam proves America is becoming a nation of grifters"

https://www.thetimes.com/us/news-today/article/students-stanford-grifters-ivy-league-w2g5z768z
2•cwwc•55m ago•0 comments

Elon Musk on Space GPUs, AI, Optimus, and His Manufacturing Method

https://cheekypint.substack.com/p/elon-musk-on-space-gpus-ai-optimus
2•simonebrunozzi•1h ago•0 comments

X (Twitter) is back with a new X API Pay-Per-Use model

https://developer.x.com/
3•eeko_systems•1h ago•0 comments

Zlob.h 100% POSIX and glibc compatible globbing lib that is faste and better

https://github.com/dmtrKovalenko/zlob
3•neogoose•1h ago•1 comments

Show HN: Deterministic signal triangulation using a fixed .72% variance constant

https://github.com/mabrucker85-prog/Project_Lance_Core
2•mav5431•1h ago•1 comments

Scientists Discover Levitating Time Crystals You Can Hold, Defy Newton’s 3rd Law

https://phys.org/news/2026-02-scientists-levitating-crystals.html
3•sizzle•1h ago•0 comments

When Michelangelo Met Titian

https://www.wsj.com/arts-culture/books/michelangelo-titian-review-the-renaissances-odd-couple-e34...
1•keiferski•1h ago•0 comments

Solving NYT Pips with DLX

https://github.com/DonoG/NYTPips4Processing
1•impossiblecode•1h ago•1 comments

Baldur's Gate to be turned into TV series – without the game's developers

https://www.bbc.com/news/articles/c24g457y534o
3•vunderba•1h ago•0 comments

Interview with 'Just use a VPS' bro (OpenClaw version) [video]

https://www.youtube.com/watch?v=40SnEd1RWUU
2•dangtony98•1h ago•0 comments

EchoJEPA: Latent Predictive Foundation Model for Echocardiography

https://github.com/bowang-lab/EchoJEPA
1•euvin•1h ago•0 comments

Disablling Go Telemetry

https://go.dev/doc/telemetry
1•1vuio0pswjnm7•1h ago•0 comments

Effective Nihilism

https://www.effectivenihilism.org/
1•abetusk•1h ago•1 comments

The UK government didn't want you to see this report on ecosystem collapse

https://www.theguardian.com/commentisfree/2026/jan/27/uk-government-report-ecosystem-collapse-foi...
5•pabs3•1h ago•0 comments

No 10 blocks report on impact of rainforest collapse on food prices

https://www.thetimes.com/uk/environment/article/no-10-blocks-report-on-impact-of-rainforest-colla...
3•pabs3•1h ago•0 comments

Seedance 2.0 Is Coming

https://seedance-2.app/
1•Jenny249•1h ago•0 comments
Open in hackernews

Postgres extension complements pgvector for performance and scale

https://github.com/timescale/pgvectorscale
143•flyaway123•1mo ago

Comments

ricw•1mo ago
I’ve been using this since early this year and it’s been great. It was what convinced me to just stick to Postgres rather than using a dedicated vector db.

Only working with 100m or so vectors, but for that it does the job.

pqdbr•1mo ago
Are you using a dedicated pg instance for vector or you keep all your data in a single pg instance (vector and non-vector)?
ComputerGuru•1mo ago
The biggest selling point to using Postgres over qdrant or whatever is that you can put all the data in the same db and use joins and ctes, foreign keys and other constraints, lower latency, get rid of effectively n+1 cases, and ensure data integrity.
dalberto•1mo ago
I generally agree that one database instance is ideal, but there are other reasons why Postgres everywhere is advantageous, even across multiple instances:

- Expertise: it's just SQL for the most part - Ecosystem: same ORM, same connection pooler - Portability: all major clouds have managed Postgres

I'd gladly take multiple Postgres instances even if I lose cross-database joins.

throwaway7783•1mo ago
Yep. If performance becomes a concern, but we still want to exploit joins etc, it's easy to set up replicas and "shard" read only use cases across replicas.
nicholasjarnold•1mo ago
Postgres supports the Foreign Data Wrapper concept from SQL/MED. If you configure this you can do joins across instances, even!

https://www.postgresql.org/docs/current/postgres-fdw.html

ricw•1mo ago
All in one of course. That’s the biggest advantage. And why postgres is great - it covers virtually all standard use cases.
esafak•1mo ago
What kind of performance do you observe with what setup?
ricw•1mo ago
Depends on the query and I don’t have exact numbers of the top of my head, but we’re talking low 100ms range for something pgvector itself wasn’t able to handle in a reasonable amount of time.
isoprophlex•1mo ago
The linked blogpost is an interesting read, too, comparing well-tuned pgvector to pinecone:

https://www.tigerdata.com/blog/pgvector-vs-pinecone

aunty_helen•1mo ago
Related discussion for pgvector perf: https://news.ycombinator.com/item?id=45798479
tacoooooooo•1mo ago
the main issue with pgvectorscale is that it's not available in RDS :(
omg2864•1mo ago
Yes, RDS seems to really hold PG back on AWS, with all the interesting pg extensions getting released now (pg_lake). It is a share I can't move to other PG vendors because it is a pain in the ass to get all privacy, legal docs in order.
calderwoodra•1mo ago
Yes, the InfoSec advantages of using RDS are very real, especially in B2B Enterprise SaaS.
coredog64•1mo ago
Technically, is there a reason AWS can't support allowing sophisticated users to run arbitrary extensions in RDS? The control-plane/data-plane boundaries should be robust enough that it's not going to allow an RDS extension to "hack AWS". Worst case is that AWS would have to account for the possibility of a crash backoff loop in RDS.

I understand that practically you can b0rk an install with a bunch of poorly configured extensions, and you can easily install something that hoovers up all your data and sends it to North Korea. But if I understand those risks and can mitigate them, why not allow RDS to load up extension binaries from an S3 bucket and call it a day?

If AWS wanted to broaden the available market, this would be an opportunity to leverage partners and the AWS marketplace mechanisms: Instead of AWS vouching for the extensions, allow partners to sell support in a marketplace. AWS has clean hands for the "My RDS instance crashed and wiped out my market cap" risk, but they can still wet their beak on the money flowing through to vendors. Meanwhile, vendors don't have to take full responsibility for the entire stack and mess with PrivateLink etc. Top tier vendors would also perform all the SOC attestation so that RDS doesn't lose out.

P.S. Andy, if you're reading this you should call me.

mrinterweb•1mo ago
I'm considering hosting a separate pg db just to be able to access certain extensions. I am interested in this extension as well as https://wiki.postgresql.org/wiki/Incremental_View_Maintenanc... (also not available on RDS). Then use logical replication for specific data source tables (guess it would need to be DMS).
mmmeff•1mo ago
This is still unsupported in RDS, right?
tacoooooooo•1mo ago
correct afaik :(

https://github.com/timescale/pgvectorscale/issues/113

jascha_eng•1mo ago
We have a lot of happy customers that moved from rds to tiger cloud if you think pgvectorscale is interesting to you and you don't want to self host pg.

But yes big cloud providers move slow in adopting extensions.

mmmeff•1mo ago
No
jascha_eng•1mo ago
Combined with our other search extension for full text search these two extensions make postgres a really capable hybrid search engine: https://github.com/timescale/pg_textsearch
ldng•1mo ago
I'm not how you'd combine the two; care to give us a quick outline ?
jascha_eng•1mo ago
We have docs on how to do hybrid search here: https://www.tigerdata.com/docs/use-timescale/latest/extensio...

Essentially you combine the pgvector score and the bm25 score to hopefully get better results.

dmarwicke•1mo ago
does this actually fix metadata filtering during vector search? that's the thing that kills performance in pgvector. weaviate had the same problem, ended up using qdrant instead
whakim•1mo ago
Worth noting that the filtering implementation is quite restrictive if you want to avoid post-filtering: filters must be expressible as discrete smallints (ruling out continuous variables like timestamps or high cardinality filters like ids); filters must always be denormalized onto the table you're indexing (no filtering on attributes of parent documents, for example); and filters must be declared at index creation time (lots of time spent on expensive index builds if you want to add filters). Personally I would consider these caveats pretty big deal-breakers if the intent is scale and you do a lot of filtering.