We released https://t.co/n71TnZbcMR on Friday to enable fast, high quality video generation.
Varya generates 720p video in 45 seconds on a single H200. Against a 50-step Wan 2.2 baseline under the same cost model, Varya is 27× faster and cheaper, while remaining close on VBench quality.
@RajanAnandan@brettsingh@Avataar@shubhamjain_11@rakesh_vRocky@Re_tot@imGauravB
Introducing Claude Fable 5: a Mythos-class model that we’ve made safe for general use.
Its capabilities exceed those of any model we’ve ever made generally available.
Our Nathu La server, unveiled today, took years of hard work by our Nagpur R&D team, led by Mangesh Sadafale.
It is going into production in Zoho data centers around the world and will save energy and money.
We are also working hard to make our entire software stack much more compute and memory efficient.
R&D to the max!
AI shouldn’t be priced like software.
You shouldn’t pay for access.
You should pay for results.
We built Bounty - where you post outcomes and agents deliver them.
Join the waitlist: https://t.co/ks7dpRqfW0
What started as a small R&D team in Nagpur during Covid, asking whether we could design a server entirely from first principles, has grown into a full platform we're genuinely proud to put our name on. It's called Nathu La. 🧵
If you are in engineering, avoid taking hefty loans is all I can say unless you have decent savings. It's okay to stay on rent, not a big deal honestly.
A product I've been working on for ~2 years with @sameersadana is live on PH today - https://t.co/af173cg1Je
If you're looking for a zoom alternate thats cheaper at scale, do try it out.
The Google for Startups AI Agents Challenge is now LIVE. 🦾⚡️
Build autonomous systems with @GeminiApp and the recently upgraded Agent Development Kit for a chance to win a share of $90,000 and $500 in @GoogleCloud credits!
Register now to start building: https://t.co/bFkiJTmGpA
We’ve developed our own inference engine Runtime-Optimized Serving Engine (ROSE) to serve models ranging from embeddings to trillion-parameter LLMs.
With CuTeDSL integrated into our inference engine, Perplexity can build the specialized GPU kernels faster to bring models up to peak performance on NVIDIA Hopper and Blackwell GPUs.
I’m open sourcing JustHireMe 🚀
A local-first Agentic AI desktop app I’ve been building to make job searching more intelligent, transparent, and user-controlled.
GitHub: https://t.co/5R8mxCDSiR
The current job search process is broken.
Candidates spend hours scrolling through:
stale job posts
irrelevant roles
spammy listings
senior-only positions
repeated listings across platforms
jobs with almost no useful context
And most AI job tools either scrape too broadly, rank opportunities like a black box, or try to automate applications without giving the user enough control.
I wanted to build something different.
JustHireMe is designed as a personal job intelligence workbench.
Instead of blindly applying everywhere, it helps users discover better opportunities, evaluate them against their real profile, and generate tailored application materials while keeping sensitive career data local.
What it can do:
Ingest resume/profile data
Build a local professional profile graph
Discover job leads from multiple sources
Filter out low-quality or irrelevant postings
Score roles based on explainable fit
Match jobs using graph + vector search
Generate tailored resumes
Generate cover letters
Draft cold emails
Draft LinkedIn outreach messages
Track leads in a local CRM-style pipeline
Keep the user in control through a human-in-the-loop workflow
The main principle behind the project is:
More signal.
More explanation.
More local control.
Less blind automation.
The tech stack:
Tauri for the desktop shell
React + TypeScript for the frontend
Python + FastAPI for the backend sidecar
SQLite for local lead tracking
KuzuDB for graph-based profile modeling
LanceDB for vector search and semantic matching
Playwright for experimental browser automation
One of the biggest goals is privacy.
Your resume, career history, generated documents, job leads, application notes, and API keys should not have to live on someone else’s server by default.
JustHireMe is built around a local-first architecture so users can keep ownership of their data while still benefiting from modern AI workflows.
Another major goal is explainability.
I don’t want an AI system that just says:
“This job is a good match.”
I want it to explain:
which skills matched
which projects support the application
what gaps exist
why a role was filtered out
why a role deserves attention
what to highlight in the resume or cover letter
That matters because job search is not just a productivity problem.
It is personal.
It affects confidence.
It affects opportunity.
It affects people’s careers.
The project is currently in alpha, but the foundation is in place.
I’m looking for contributors interested in:
Agentic AI
AI agents
workflow automation
job source adapters
web scraping
ranking algorithms
GraphRAG
vector databases
semantic search
resume parsing
document generation
local-first software
privacy-first AI
UI/UX
testing and documentation
If you’re a developer, designer, AI engineer, student, or someone who has felt the pain of modern job searching, I’d love your feedback, ideas, issues, PRs, or even just a star ⭐
Repo: https://t.co/5R8mxCDSiR
Let’s build a better, more transparent job search system together.
#OpenSource #AgenticAI #AIAgents #RAG #GraphRAG #Python #FastAPI #ReactJS #TypeScript #Tauri #VectorDatabases #JobSearch #CareerTech #Automation #PrivacyFirst