klntsky

5 ms·

31.
by klntsky 7mo ago
Why are they trying to sell a VPN in the countries where users barely need it?
32.
by klntsky 7mo ago
It was too early. It even executed its crypto airdrop YEARS before it became a common form of distribution in web3
33.
by klntsky 7mo ago
Location: Tbilisi/Georgia Remote: Yes Willing to relocate: Yes Technologies: LLMs, TypeScript, Rust, Haskell, PureScript, EVM tooling Résumé/CV: https://klntsky.dev/klntsky-cv.pdf Email: my username a
34.
by klntsky 7mo ago
How do you score toxicity? Do you have a list of criteria or just let the LLM hallucinate a number out of thin air?
35.
by klntsky 9mo ago
Location: Tbilisi/Georgia Remote: Yes Willing to relocate: Yes Technologies: TypeScript, Rust, Haskell, PureScript, LLMs, EVM tooling Résumé/CV: https://klntsky.dev/klntsky-cv.pdf Email: my username a
36.
by klntsky 10mo ago
People vibe one-off solutions for themselves all the time. They just don't have the desire to productionalize them. Frankly, product knowledge is something LLMs are not that good at
37.
by klntsky 10mo ago
Opensource LLMs are absolutely not on par with gpt-5 for any agentic workflows
38.
Tool2agent – build guardrails for LLM agents(github.com)
2 points by klntsky 11mo ago|0 comments
39.
by klntsky 11mo ago
the 'start trial' button does not work.
40.
by klntsky 11mo ago
autofilled details are terribly wrong. even the name is that of another product
41.
by klntsky 11mo ago
You should probably make a version that is usable as an email filter plugin for mail servers
42.
by klntsky 11mo ago
search is a must here
43.
by klntsky 11mo ago
Hey, how can I contact you privately?
44.
by klntsky 11mo ago
https://tool2agent.org/ - guardrails for your AI agent implemented via tool call feedback https://osint.moe/ - LLM-based app to build research graphs based on goal-directed web search
45.
Tool2Agent – a protocol for LLM tool feedback workflows(tool2agent.org)
1 points by klntsky 11mo ago|1 comments
46.
by klntsky 11mo ago
This is a set of conventions and types that streamline some approaches I came up with while building LLM workflows. LLM tool feedback systems are under-developed, and the reason for that is the lack of well defined interfaces. tool2agent is
47.
by klntsky 11mo ago
> Sizable’s reservoirs could connect to any grid that’s near waters that are at least 500 meters (1,640 feet) deep. How many big cities are there on earth with that depth available nearby?
48.
Show HN: Tool2agent – a protocol for LLM tool feedback workflows(github.com)
2 points by klntsky 11mo ago|0 comments
49.
by klntsky 11mo ago
It seems to only implement a half of QuickCheck idea, because there is no counterexample shrinking. Good effort though! I wonder how hard would it be to derive generators for any custom types in python - probably not too hard, because types
50.
by klntsky 11mo ago
Location: Tbilisi/Georgia Remote: Yes Willing to relocate: Yes Technologies: TypeScript, Rust, Haskell, PureScript, LLMs, EVM tooling Résumé/CV: https://klntsky.dev/klntsky-cv.pdf Email: my username a
51.
by klntsky 11mo ago
I wish there was a way to have undo/redo like when using pushState, but without polluting history. There is no separate "serializable state" API that is not tied to a URL. I could use LocalStorage, but I want to have multiple
52.
Readweb: Extract token-efficient Markdown from websites(github.com)
3 points by klntsky 11mo ago|0 comments
53.
by klntsky 11mo ago
> A reservation of rights for works accessible online is only effective if it is in machine-readable form. What if MY machine can't read it though?
54.
by klntsky 1y ago
Can you share what a page map looks like (on the data type level)?
55.
by klntsky 1y ago
I vibed something like this for markdown extraction just a week ago: https://github.com/promptware/readweb Opensourced it just now. More specifically, it works like this: suggestPreset: HTML -> Preset (via LLM)
56.
by klntsky 1y ago
Nice. You should pair it with Immer + React for a nice UI demo. This will hype hard if the value is properly demonstrated.
57.
by klntsky 1y ago
https://osint.moe/ A LLM‑powered OSINT helper app that lets you build an interactive research graph. People, organizations, websites, locations, and other entities are captured as nodes, and evidence is represented as relat
58.
by klntsky 1y ago
Turns out the real friend was the one who read it along the way
59.
by klntsky 1y ago
Location: Tbilisi/Georgia Remote: Yes Willing to relocate: Yes Technologies: TypeScript, Rust, Haskell, PureScript, LLMs, EVM tooling Résumé/CV: https://klntsky.dev/klntsky-cv.pdf Email: my username a
60.
by klntsky 1y ago
An LLM chat helper (app) for OSINT that builds a graph of your knowledge base: https://osint.moe/ It will glue specialized APIs (search, scrapers, tools, etc) so that you rarely need to leave it

More ›