ashwindharne

8 ms·

1.
by ashwindharne 5mo ago
I believe it's calculated based on voting equity, of which Sergey owns significantly more than 230b.
2.
by ashwindharne 5mo ago
Same here, this is an incredibly useful thing to have in the toolkit
3.
by ashwindharne 7mo ago
Looks great -- always wished the admin panel came with more configurable bells and whistles. I've been exploring Quarkus recently ( https://quarkus.io/ ), and it has a Dev UI with a similar extensible "panels"
4.
by ashwindharne 8mo ago
I'm building something similar, but as an Excel add-in instead of a standalone product. In real use-cases, it seems that by far the hardest part is figuring out the right representation for a spreadsheet workbook and the right primitiv
5.
by ashwindharne 9mo ago
I'm always a little hesitant to use D1 due to some of these constraints. I know I may not ever hit 10GB for some of my side projects so I just neglect sharding, but also it unsettles me that it's a hard cap.
6.
by ashwindharne 9mo ago
I get this a lot too, have made most of the Gemini models essentially unusable for agent-esque tasks. I tested with 2.5 pro and it still sometimes devolved into random gibberish pretty frequently.
7.
by ashwindharne 10mo ago
I've found that this phenomenon exacerbates inequality too: If you attend a well-known college that bigco's hire from frequently, there's a lot of knowledge floating around about interview prep, hiring schedules, which compan
8.
by ashwindharne 10mo ago
I went to a basement party/rave recently where the DJ was live-coding strudel, was incredibly cool to see in person. people would watch them type out new lines in anticipation of a beat drop Pretty cool to see this post, I had no idea
9.
by ashwindharne 10mo ago
I think performance takes a hit due to WASM, and I imagine pricing is worse at big qps numbers (where you can saturate instances), but I've found that deploying on CF workers is great for little-to-no devops burden. Scales up/down
10.
by ashwindharne 1y ago
HN's AI hate-boner has always been a bit off-putting to me. This is a technology forum, and it's pretty much the biggest advance in recent technology that has potential implications for all of our lives. I definitely also get AI-f
11.
by ashwindharne 1y ago
Google seems to be the main foundation model provider that's really focusing on the latency/TPS/cost dimensions. Anthropic/OpenAI are really making strides in model intelligence, but underneath some critical threshold of
12.
by ashwindharne 1y ago
This post has the same issues as NotebookLM for me -- overdesigned, overengineered for what at its core is a simple and valuable UX. NotebookLM: obviously useful, but I just wanna select some files and chat w/ them or have them summari
13.
by ashwindharne 1y ago
I used ANTLR recently to prototype a spreadsheet formula language -- backend was JVM so it was reasonably easy and batteries-included.
14.
by ashwindharne 1y ago
I always find that my regular crud apps kind of grow into something not-so-cruddy due to a single feature (realtime communication, bursty usage profile, large batch jobs to precompute something to expensive to do at request time) and the ar
15.
by ashwindharne 1y ago
Should the other players not have also raised VC money if it was such a differentiating advantage? Perhaps they should have sold even more equity than Figma did and raised more money if that would have been the difference maker.
16.
by ashwindharne 1y ago
KV caching is priced and managed quite differently between providers as well. Seeing as it becomes a huge chunk of the actual tokens used, wondering if there's an easy way to compare across providers.
17.
by ashwindharne 1y ago
Gemini models seem to be much less predictable than Claude -- I used them initially on my Excel 'agent' b/c of the large context windows (spreadsheets are a lot of tokens) but Gemini (2.5 Pro AND Flash) would go rogue pretty
18.
by ashwindharne 1y ago
'Agents' are just a design pattern for applications that leverage recent proper scientific breakthroughs. We now have models that are increasingly capable of reading arbitrary text and outputting valid json/xml. It seems like
19.
by ashwindharne 1y ago
It's all unstructured text (title, company, company size, experience, skills, raw text, etc.) and LLMs are pretty bad at assigning numerical scores in a vacuum. To make it work, we'd have to provide a representative set of example
20.
by ashwindharne 1y ago
Cool stuff! We use a similar process internally to rerank and filter our cold outbound lists. We just use an off-the-shelf model as the judge, give it a custom criteria, and let it run until some set number of iterations. It's helped n
21.
by ashwindharne 1y ago
I do find that having inference happen ~50% faster is much more valuable to my workflow than a single digit accuracy increase. If I'm going to have to check that the changes are correct anyways, getting more iterations in faster feels
22.
by ashwindharne 2y ago
Not sure how active it is outside large US cities but I've been using Beli ( https://beliapp.com/ ) for the past couple years. It's essentially friends stack-ranking restaurants they've been to, which is useful
23.
by ashwindharne 2y ago
I've been using Temporal recently for some long-running multi-step AI workflows -- helps me get around API flakiness, manage rate limits for hosted models, and manage load on local models. It's pretty cool to write workers in diff
24.
Show HN: BreakRoom, draft messages/documents using the information in your files(breakroom.click)
9 points by ashwindharne 3y ago|3 comments
25.
by ashwindharne 3y ago
Secondhand shopping and stores Trying to build something for businesses like thrift stores, vintage stores, secondhand stores, used furniture, consignment, etc. I started working at a vintage shop a few months ago after leaving my SWE job,