loondri
loondri on Hacker News
Posted by
loondri on Tuesday February 24, 2026 @10:11PM
from the show-hn dept.
https://crustdata.com
Hi HN! We’re Abhilash Chowdhary, Chris Pisarski and Manmohit Grewal. We built Crustdata (YC F24). Today we’re launching our web search API for AI agents, which not only returns the most relevant documents from the web but also maps them to the correct entity (person, company or event). Demo video here https://youtu.be/IouWW97hBN8If you run agents at scale, tokens become a line item. The web...
Have mentioned the source at the top right header. Its by Crustdata.
Let me check and fix. Also if possible, mind sharing for which company its marked as S19 vs S24?
Posted by
loondri on Saturday January 03, 2026 @06:06PM
from the show-hn dept.
https://foundertrace.com/
Inspired by PG’s tweet about a chain of 4 YC startups where the founder worked at a YC startup, I vibe coded and generated these genealogy chains for all ~6k YC startups. And to make these trees easily accessible I packaged them into a hosted webapp.Few noteworthy YC startups which have had huge impact in YC ecosystemAirbnb - 83 YC startups spawnedStripe - 67 YC startups spawnedDropbox - 50 YC...
This is much needed! Gonna try this out. I haven't seen a good tool that lets me generate code via CLI.
Posted by
loondri on Thursday April 18, 2024 @08:11PM
from the self-post dept.
I researched over 5000 Series A and Series B stage companies in the USA to identify the next unicorns.I identified 10 companies that I feel could become unicorns very soon based on several factors including growth rates, hiring trends, and leadership. I then ranked them on a few metrics and presented the data to you below.I used Crustdata's database for this research.Top 10 Fastest Growing...
I have been tracking all of the YC companies since their inception. Today, I'm analyzing all 245 companies that have gone through the W24 batch and are presenting some of the most interesting metrics. Since all of these companies are pretty early stage and lean, I focused on the 3-4 most important areas that make sense at an early stage. 1. Monthly Traffic 2. Focus areas 3. Founder’s Previous Companies & 4. Founder’s Educational Background.
Very interesting. Does this cover all the companies founded by Tesla alumni?
I would say with work from home and AI helping you build stuff quickly, bootstrapping is a great way to validate the market needs and reach to 10k MRR
I did the same with my bootstrapped data intelligence startup
Posted by
loondri on Tuesday October 10, 2023 @06:49AM
from the self-post dept.
This weekend, I did a deep market study on ecommerce marketing automation SaaS.Of all the companies in this category, only 100 of them actually grew in headcount over last year.Of all the 100 growing ecommerce marketing automation and customer engagement platforms, about 70% of them have most employees in the USA and India.With currently over 200 M internet buyers in India and increasing by 25%...
I get that everyone has their own coding style, but ditching established conventions in C for personal aesthetic seems a bit much. Like, using u8 or i32 instead of the standard uint8_t or int32_t might save a few keystrokes, but it could confuse anyone else looking at the code. And the custom string type over null-terminated strings? C's built around those, and deviating from that just feels like making life harder for anyone else who might need to work with your code.
And manually writing out Win32 API prototypes instead of including windows.h might shave off some compile time, but it's like ignoring a well-maintained highway to trek through the woods. Just seems like a lot of these changes are about personal preference rather than sticking to what makes C code easy for everyone to work with.
Blackmagic Camera app might add fancy controls to the iPhone, but it can't match the quality of real professional cameras.
This article talks about making Linux pipes faster, but other methods like shared memory or message queues might still be quicker. For example, in systems that need to move a lot of data quickly, the extra steps with pipes could slow things down. Also, when many threads are sharing data, pipes might cause more problems than other methods. So, the improvements in the article might not help much in real-world situations where speed is crucial.
Interesting, thanks for sharing this
This article praises AI for improving products, but what about the jobs it might take over, like customer service roles?
And can AI truly understand human emotions to handle sensitive customer issues or create artwork that resonates with people on a deeper level? There might be more to consider than just the cool tech.
It's interesting that Pythagoras gets credit for a theorem he may not have discovered, especially when there's proof that Babylonians knew it 1000 years earlier.
This challenges the idea that ancient Greek mathematicians were always ahead of others.
I think the way the Celestial Reference Frame Department does things might be old-fashioned.
With new tech like blockchain for decentralized coordination, or machine learning algorithms that can process astronomical data more accurately and quickly, there might be better and easier ways to do celestial referencing. It might be time for a change to keep up with these new advancements.
I think Vespa's growth and innovation were driven by Yahoo's resources and infrastructure. Now as a separate entity, it might struggle to maintain the same pace of development and innovation without the backing of a tech giant like Yahoo.
I think retrofitting IPv4-only apps for IPv6 compatibility might be a short-term fix. It could be more forward-thinking to focus on developing new apps with inherent IPv6 support to prevent accruing technical debt and facing complications tied to maintaining outdated IPv4-only applications.
The trade-off between memory usage and inference time uncovers a potential flaw in prioritizing resource efficiency over performance.
This would deter real-time or near real-time applications where latency is a critical factor.
Also, the confusion over the phrase "0.5-2x slower" highlights a possible lack of clarity in communication within the community, which would hinder the accurate assessment and adoption of such optimizations in practice.
The NIST standardization process, appears to have a grey area particularly around the selection of constants.
The skepticism around standardization, advocating instead for direct adoption from cryptographers, sheds light on potential shortcomings in the current system.
There is definitely a need for a more transparent or open scrutiny in algorithm standardization to ensure security objectives are met.
FTC's narrow market definition unjustly targets Amazon, ignoring broader retail competition that could dilute its alleged monopolistic status.
I think the move towards vector databases might be more hype than necessity. Traditional databases, when properly optimized, can handle vector data for many use cases. The push for specialized vector databases could be re-evaluated in terms of efficiency and cost-effectiveness compared to optimizing existing scalar databases.
Posted by
loondri on Tuesday October 03, 2023 @12:56AM
from the self-post dept.
Top 10 fastest growing Semiconductor companies by headcount1. Inorganic Intelligence2. PASQAL3. Axelera AI4. Tenstorrent5. SiPearl6. Rebellions.ai7. Pallidus8. Deci AI9. Astera Labs10. NeuReality
It's intriguing how the DOJ is suddenly so focused on Google's practices when there are other tech giants with equally questionable strategies. Makes one wonder about the real motivations behind this trial.