Readit NewsWorking on a resume editing tool for rapidly applying to a large number of jobs. The basic idea being that resumes should be tailored to the job being applied to. In this tool, you put in your resume, add in other details regarding your background, projects and other things that you might not put in the resume. You do this once.
Now you paste in the job description, we use an llm to generate a new resume grounded in the details you added earlier. You get a pdf that you can submit to the job application.
arkokoley commented on Show HN: FastGraphRAG – Better RAG using good old PageRank github.com/circlemind-ai/... · Posted by u/liukidar
PageRank is one of several interesting centrality metrics that could be applied to a graph to influence RAG on structural data, another one is Triangle Centrality which counts triangles around nodes to figure out their centrality based on the concept that triangles close relationships into a strong bond, where open bonds dilute centrality by drawing weight away from the center:
https://arxiv.org/abs/2105.00110
The paper shows high efficiency compared to other centralities like PageRank, however in some research using the GraphBLAS I and my coauthors found that TC was slower on a variety of sparse graphs than our sparse formulation of PR for graphs up to 1.8 billion edges, but that TC appears to scale better as graphs get larger and is likely more efficient in the trillion edge realm.
https://fossies.org/linux/SuiteSparse/GraphBLAS/Doc/The_Grap...
Have you tried Authority Rank as a substitute for PageRank? https://link.springer.com/content/pdf/10.1007/978-3-030-6097...
I have worked on social dynamics on social media particularly how why certain kinds of content/people become viral. To that end, I have been working on a large-scale simulation that simulates twitter. It pulls data from a random distribution, generates users with specific interest vectors. its modelled as a Agent based modelling with the users as agents, posting every timestep, reading content posted by others, recommended to them by a recommendation engine. all of this this then generates data for research.
Kagi | Full & Part Time | Remote | http://kagi.com
Kagi is building a user-centric search engine, free from ads and tracking.
Our primary language is Crystal, and we are always interested in talking to developers who share our values. Some of our roles are listed below, but feel free to reach out even if you don't see a match.
https://help.kagi.com/kagi/company/hiring-kagi.html
You can reach us directly at hello@kagi.com
--- Thank you everyone for the outreach! Please bear with us as we work through the responses. ---
Love the work you're doing. I'm looking for a part-time role. Based out of NJ, USA. I haven't worked with Crystal but have extensive Ruby experience. Sent you an email!
Location: New Jersey, US
Remote: Yes
Willing to relocate: No
Technologies: Python, JS, Typescript, Node, SQL (Postgres, MSSQL), Azure Functions, Docker, R, Apache JMeter, Ruby on Rails,
LinkedIn: https://www.linkedin.com/in/arkokoley/
Email: gaurav at koley.in
Website: gaurav.koley.in
I always figured by now there would be some sort of centralized "trust" entity, ala credit bureaus, where you can build apps on top of that using the same "trust".
Supposing such a thing existed, then drivers could simply offer their own driving services by themselves. Perhaps that's the next evolution here.
I used to drive a pretty boring, but predictable route in the morning and in the late afternoon. I would've loved to drive people who are near my destination both ways, but without anyway to trust them, no way.
Surely someone has tried to implement this before and failed and I just don't know?
I used to do that with QuickRide in Bangalore. Very popular and fairly simple to use. As a rider, you can put up your origin and destination points. You are shown people with cars who have a high overlap with your origin-destination route and you can send them requests to join.
Usually 1/4th the price of a cab and the app has information about where each rider/car owner works (mostly MNCs), that works as a trust factor.
Dead Comment
arkokoley commented on Ask HN: Does Microsoft use Teams for internal comm? · Posted by u/nittanymount
I used to work for Microsoft and our team's morning rant (on Whatsapp) would start with MS Teams not working. Often meetings would be stopped because Teams hung up for the person who was presenting. And the Teams/Skype Infra team were the slowest in the world to respond to any requests!
I recently authored a paper on a related topic that might be of interest, particularly concerning your challenges with accuracy and long-term simulation stability. Our work, "SALM: A Multi-Agent Framework for Language Model-Driven Social Network Simulation," introduces a novel framework for integrating language models into social network simulations.
I specifically focused on achieving long-term temporal stability in multi-agent scenarios.[2] A couple of our key contributions could be relevant to your work:
I developed a hierarchical prompting architecture that enables stable simulations beyond 4,000 timesteps while significantly reducing token usage.[3]
To address memory growth and maintain agent consistency, I implemented an attention-based memory system that achieves high cache hit rates with sub-linear memory growth.
I also established formal bounds on personality stability, which could be a useful concept for ensuring the accuracy and predictability of your AI personas over time.
Our validation against SNAP ego networks demonstrated the capability of our framework to model long-term social phenomena with empirically validated behavioral fidelity.[3]
It seems like there's a lot of synergy between our research and your product. I'd be very interested to hear your thoughts on our paper and explore if any of our findings could be beneficial for the continued development of Artificial Societies.
Here's the link to my paper: https://arxiv.org/abs/2505.09081