henrythe9th

Re:Ask HN: What are some cool or underrated tech companies based in Ca... on Tuesday July 08, 2025 @07:43PM (#44505022)

Ruchi (Sr Dir of Eng at Dropbox) and Ashwin (Employee #1 at Rippling) at https://maplebilling.com/ are top notch!

Show HN: Lovable for MCPs – No/low-code builder for AI tools

Posted by henrythe9th on Thursday May 01, 2025 @03:17PM
from the show-hn dept.

https://www.generatemcp.com/

We built a no/low-code tool that lets you spin up MCPs from a single prompt.MCPs give LLMs access to tools, data, and actions—but they’re hard to build and deploy.Our tool abstracts that: describe what you want, and it auto-generates and hosts the necessary components.No UI flows, no manual chaining—just prompt and go.Examples: • Pull email, parse a DocSend, check Reddit, draft reply •...

( Read More... | 2 comments | 4 points | on HN )

Re:Ask HN: What Are the Must-Read Papers to Catch Up on AI Research? on Friday January 10, 2025 @07:29PM (#42662063)

any specific sites/links that you can share?

Ask HN: What Are the Must-Read Papers to Catch Up on AI Research?

Posted by henrythe9th on Friday January 10, 2025 @02:02PM
from the ask-hn dept.

After being a software founder for the last 8 years, I spent the holidays diving into AI research papers, lectures and trends to try to catch up to frontier of public AI research.I tried putting together a guided list of some of the key papers and topics to help filter through the noise and crowded landscape: https://github.com/henrythe9th/ai-crash-courseAre there any other seminal papers or...

( Read More... | 2 comments | 3 points | on HN )

Re:Show HN: Superblocks – IDE for Internal Apps, APIs and Cron Jobs on Wednesday August 10, 2022 @01:06AM (#32408012)

Congrats on the launch Brad and Ran and team! We've been an early customer of Superblocks for a long time and have been thoroughly impressed with the team and product.

We evaluated all of the low-code builders in the market (including both paid and open source) and eventually decided to use Superblocks for some of our core operational tools and workflows due to the power & flexibility of the tool, the focus on access & security, the team's unparalleled support and the pricing model.

It's been great working with the team and they've been nothing short of fantastic. We can't wait to build more with Superblocks and see what they release next.

Re:Ask HN: What problem in your industry is a potential startup? on Saturday July 11, 2015 @07:33PM (#9871973)

Thanks for sharing and the construction industry is definitely dated. However, as an outsider, it's hard to know where to begin or even to dive in. Do you have some examples of the strongest painpoints or the lowest hanging fruits?

Thanks

Re:Ask HN: What problem in your industry is a potential startup? on Monday June 29, 2015 @11:59PM (#9802864)

@gargarplex. I'd also love to learn more about this problem. My partner has worked extensively in securing deals with Fortune 500 companies previously. Shoot me an email henrythe9th at gmail. Thanks.

Re:Ask HN: Fast, In-Memory, Distributed data analysis and machine lear... on Sunday July 07, 2013 @07:18AM (#6001736)

Thanks for the suggestion. We've actually thought about just writing a multithreaded system on a single machine. What type of in-memory storage would you recommend in this case? (which hopefully may be extended to a distributed cluster of machines if 1 really large machine becomes expensive)

Thanks

Re:Ask HN: Fast, In-Memory, Distributed data analysis and machine lear... on Sunday July 07, 2013 @12:38AM (#6001060)

Thanks!

Re:Ask HN: Fast, In-Memory, Distributed data analysis and machine lear... on Saturday July 06, 2013 @11:59PM (#6000989)

Thanks for your suggestion. Do you have any specific readings for me to look into for building bolts/spouts for sending data into the system?

Thanks

Re:Ask HN: Fast, In-Memory, Distributed data analysis and machine lear... on Saturday July 06, 2013 @11:57PM (#6000985)

Thanks for the suggestion. Looks very interesting, but couldn't find much information about it besides on Oracle.

How's the community and use cases for Coherence?

Thanks

Re:Ask HN: Fast, In-Memory, Distributed data analysis and machine lear... on Saturday July 06, 2013 @11:55PM (#6000982)

Thanks for your input. We're roughly talking around 5GB of data. Data growth should be linear in the next 6months. Money is not a big concern. Speed of iteration is key.

We frequently run different processing algorithms over the entire stored dataset (stored data doesn't change) and update the calculated features each time. Not sure if this helps narrows things down. Thanks

Ask HN: Fast, In-Memory, Distributed data analysis and machine learning?

Posted by henrythe9th on Saturday July 06, 2013 @10:59PM
from the ask-hn dept.

We're looking to implement a new data pipeline architecture at work. The primary goal is speed (data size is small enough to fit entirely in memory, sharded across multiple machines if needed). The primary bottleneck is feature extraction, transformation and iteration, which is both CPU and read/write intensive. Model building is not too slow, so no need to distribute training/testing as of...

( Read More... | 13 comments | 5 points | on HN )

Re:From 0 to Launch in 14 Days on Monday February 25, 2013 @02:05AM (#5277712)

Thanks and hope you guys found the blog helpful. Just a quick notice, some spammers have been spamming my site, so now the service is offline until I can migrate mx servers and add in anti-spam policies. Unfortunately, I've been super busy lately and may not get around to it for a while...