swaminarayan

7 ms·

1.
CobbleDB: Perplexity-developed storage engine built by 2 engineers + AI agents(perplexity.ai)
2 points by swaminarayan 2h ago|0 comments
2.
by swaminarayan 2mo ago
How does this perform on longer videos, especially on lower-end machines? Is the transcription and video processing entirely local in the browser?
3.
by swaminarayan 4mo ago
How it select model? using AI?
4.
by swaminarayan 4mo ago
I am getting used to with this lightrag-snkv, Now I dont need to check hacker news site again, it automatically ingest top ranked posts and I can query and check answers using natural query language.
5.
by swaminarayan 4mo ago
I am pasting link here: https://github.com/user-attachments/assets/23a95319-ee66-49b...
6.
by swaminarayan 4mo ago
if you are opening video in mobile github app then it won’t open.Check in browser.
7.
by swaminarayan 4mo ago
Right now Show HN and Ask HN tags based blogs and its comments are ingested in database.
8.
Show HN: Query months of HN discussions and comments as a knowledge graph(github.com)
4 points by swaminarayan 4mo ago|5 comments
9.
by swaminarayan 5mo ago
this is not mythology. this is ithihasas meaning thus it happened
10.
by swaminarayan 6mo ago
Found my answer: https://github.com/google-ai-edge/gallery?tab=readme-ov-file
11.
Ask HN: Best LLM model for a RAG-based Android app across all smartphones?
1 points by swaminarayan 6mo ago|1 comments
12.
by swaminarayan 6mo ago
i like this idea, especially for the parent who dont want their kids to watch reels/shorts of the instagram and youtube apps.
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by swaminarayan 6mo ago
lol
14.
by swaminarayan 6mo ago
What architectural decisions enabled pg_textsearch to outperform Tantivy/ParadeDB by 4.7×, especially given Tantivy’s reputation for speed?
15.
by swaminarayan 6mo ago
Interesting approach — especially around modifying SQLite’s internals. In SNKV, I’m taking almost the opposite direction: keeping B-tree / storage-layer ideas and removing the SQL layer entirely, to expose a minimal key-value interface
16.
by swaminarayan 6mo ago
Really interesting design — especially using SQLite-compatible storage with a PostgreSQL interface. I'm working on SNKV, which explores a different approach: skipping the SQL layer entirely and focusing on a simple key-value interface.
17.
by swaminarayan 6mo ago
Very cool approach. I’m working on a related KV storage project (snkv - https://github.com/hash-anu/snkv ) How do you handle manifest consistency and updates—append-only or rewrite-heavy?
18.
by swaminarayan 6mo ago
What were the biggest architectural changes in the rewrite, and what tradeoffs did you make compared to the old Video.js design?
19.
by swaminarayan 6mo ago
Does your method work better than standard ANN when filters are very strict—and how does it affect speed vs accuracy?
20.
by swaminarayan 6mo ago
How do you build a procedurally generated survival game in a terminal without a graphics engine?
21.
by swaminarayan 6mo ago
How did you make a very small AI model (14M) sound more natural and expressive than even bigger models?
22.
by swaminarayan 6mo ago
if you want to use key value store using sqlite then you can try : https://github.com/hash-anu/snkv in which i am directly accessing b-tree layer and not consuming query layer. for kv workloads it is much faster compar
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by swaminarayan 6mo ago
What would you do if your entire Git history was instantly queryable with SQL?
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by swaminarayan 6mo ago
What do we gain and lose by treating AI agents like software projects in Git?
25.
by swaminarayan 6mo ago
Why do minimal apps sometimes work better than feature-rich ones?
26.
by swaminarayan 6mo ago
makes sense
27.
by swaminarayan 6mo ago
Why do AI agents get worse with more context, and how should we manage context windows?
28.
by swaminarayan 6mo ago
Could a K-style array language be a practical way to design audio waveforms and DSP patches?
29.
by swaminarayan 6mo ago
If a working compiler can be written in ~1000 lines, why are production compilers like GCC or LLVM millions of lines?
30.
by swaminarayan 6mo ago
How do you defend against prompt-injection attacks that cause the agent to call legitimate endpoints but exfiltrate sensitive data through the response?

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