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We’re launching Ascenix (@ycombinator F26): custom software for running senior homes. Our first customer was the retirement home we lived in for months. Now we’re growing 15% WoW across Canada and the US.
Senior homes face bottlenecks like time-consuming reporting, missed reimbursement revenue, and compliance gaps that risk fines and reputational damage. Solving each with separate tools can mean dozens of vendors, hundreds of thousands of dollars in spending, multiple logins, and siloed data.
We replace that stack with one platform tailored to each home. Teams describe what they need, and Ascenix turns their data and instructions into dashboards, reports, or automated workflows. Our reusable building blocks let us add new workflows as new bottlenecks arise, without another vendor or product.
Visit ascenix.co for a demo.
Rishi retweeted
The world is borrowing hundreds of billions of dollars to build GPUs, and the average GPU is busy 5% of the time.
Nodus Compute gets more AI out of the GPUs that already exist.
We fill idle hours with useful work, pack more models and jobs onto every card, and run training, RL, agents and inference on one platform.
Rishi retweeted
found a bunch of 0-days. got backed by @YCombinator. open-sourced our harness. more coming soon.
pretty fun year so far. your turn 👀
Introducing: 0 - the open-source AI security harness by @0securitylabs (YC F26).
It found 30+ Linux kernel 0-days. Then we got backed by @YCombinator
> Found vulnerabilities in software running on 3+ billion devices & government code from 🇨🇭🇮🇹🇪🇺 + Wireshark, node-forge & jsonata
> Full-stack pentesting: from web apps & APIs down to binaries & kernels
> Multi-model, Reverse engineering, web interface + CLI and MCP for agents.
> Security Workflows: parallel agents investigate, reproduce vulnerabilities & test fixes
Use it with your coding agent:
github.com/0sec-labs/0
Sponsored our first hackathon last week. Great recruiting channel regardless of what type of company you're building.
You see 80% of the hiring criteria in action across many candidates in a very short timeframe. And then you can invest more time in specific people. Much more signal per hour for initial inbound.
Would recommend. We’ll be doing more.
Rishi retweeted
Today, we are killing Workday, SuccessFactors and Ashby.
Recruiting software was built to track hiring. Recruiters still do the work: finding people, reviewing applications, running interviews, taking notes, doing reporting, and chasing calendars.
Lantern (YC F26) is an agentic recruiting platform with connected agents that do the work for you.
It learns your hiring taste, searches a billion professionals, and shares context across sourcing, screening, interviews, and scheduling. Every interview and hiring decision makes the next search better.
Teams can start with Lantern on top of their existing ATS, or replace it entirely.
We have processed over 2 million candidates for companies including Crypto.com, Hyatt and Eight Sleep.
@ycombinator @LanternAI__
We're in YC F26!
I’m 20, skipped university, and moved into a retirement home with my cofounder to build a startup.
Wanted to share how we got here.
> We started in Toronto with a wearable that detected falls, monitored resident location, and had a button for PERS.
> We’d get new casings printed overnight, wake up, and take them straight to residents for feedback. Our users were literally our neighbours.
> But living there changed what we thought we should build. We realized that infrastructure in these facilities was primarily driven by software.
> So we shelved the hardware and built Ascenix.
> Along the way, I cold-emailed Paul Graham. He forwarded my email to Jared Friedman, who invited me to Startup School and later encouraged us to apply to YC.
> We submitted on the very last day. And we got in.
> Today, we’re a team of 7, with Ascenix live in 55 facilities across North America.
So what do we do now?
Ascenix builds custom software for running senior homes.
These facilities juggle separate vendors for incident analysis, admissions, reimbursement, staff scheduling and more. We started as one of those tools, focused on incident analysis. But are now building the foundational platform for all of them.
Our insight is that many of these workflows share the same foundations: bringing records together, interpreting information, applying rules and coordinating what happens next through some interface.
We’re building those foundations into reusable building blocks so we can generate software around each home’s most urgent problem, with the specific rules and interface each workflow needs.
We start with the problem they need solved today(ex: Incident Analysis). As each home’s priorities change, we can use the same building blocks to create software for its next biggest challenge, expanding the work Ascenix handles over time.
Our objective is to replace that patchwork of vendors with one interface, custom-built for each home.
More to come!









