Ramya Chinnadurai 🚀

Turning 29 today 🥳 - Built two SaaS products. - Became a first-time mom. - Bootstrapped every line of code. - Balanced baby milestones with user feedback. My biggest lesson? You can build slow, messy, beautiful things and still be on the right path. Here’s to a year of softness, strength, and showing up, as me. What’s one life lesson you learned this year?

Haha yes, typing letter by letter was the part I hated most. MacRemoteBuddy sounds fun, phone to Mac is the other half of the couch problem!

It picked jqssun's android-airplay-server! Open source, runs right on the Android TV, and my Mac sees it as a normal AirPlay display so extended mode just works. github.com/jqssun/android-ai…

Yes, that's the part I'd tell everyone to copy! Backup first, then let it go wild on the TV.

Yes, if your TV takes AirPlay that's the easy way! Mine is an Android TV and it didn't show up as a display on my Mac at all, so the bot installed an AirPlay receiver on it first. After that it's exactly the setting you mean.

Yeah, this was really cool, I felt like a hacker 😅 My only job was switching on USB debugging on the TV, the bot did the rest.

invite code

For travel bookings, payment is still the step where the agent hands back to the person. Everything before it can run on its own, then a human taps pay.

I handed my TV to my bot on Sunday, and it did exactly what this says 😅 I wanted my Mac to use the TV as a second screen. Casting only mirrors, and I wanted real extra space to drag windows onto. So the agent went to GitHub and looked through open-source AirPlay receivers that run on Android TV. It picked one, installed it on the TV and gave it a proper name. Now my Mac uses the TV as an extended display over Wi-Fi, and I didn't pay anything for it! Then it built me a small Mac app called TV Remote. Arrow keys with OK in the middle, volume, buttons that open my apps, and a box where I type the search on my keyboard. No more pressing letter by letter with the TV remote.. Before it touched anything, it took a backup and wrote a restore script so I could undo all of it. My part was really small. I switched on USB debugging on the TV myself, and I said yes before it turned off the apps I never open. I didn't know that repo existed before Sunday, big thanks to jqssun for building it. Full story and the prompt I'd paste: nitter.cf/code_rams/status/21170…

LifeVal from OpenAI went from 49% to 81% at real life chores in 1 year 🤯 Not coding or maths.. stuff like finding a kindergarten after a move, planning meals for a parent with diabetes, booking a toddler class. I read the whole LifeVal page, so here it is in simple words, plus what I took from it as someone building an AI that books family trips. What is LifeVal A benchmark is a test for AI, like a report card. Older AI tests mostly check what a model knows.. LifeVal checks how well it gets everyday life stuff done for you. How they built it - Started with 2 big studies that track how people spend their day, in the US and other countries - Asked 3,995 people where they'd want help from a personal assistant - Turned that into 169 tasks - Areas: caregiving, health, education, household admin, personal finance, shopping and government services Real tasks and scores - Find a kindergarten after moving: 93.1% - Meal plan for a parent with a new diabetes diagnosis: 90.4% - Watch a game with grandma from far away: 96.3% - Organise flood prep volunteers for 4 neighbours: 98.0% - Book a sensory class that fits a toddler and the family schedule: 100% (best recorded, GPT-6 Astra) What OpenAI did with it They used LifeVal for a whole year to track and push their models. In that year they trained them to click through websites and computers on their own, and to work inside apps you connect to ChatGPT. The average score went from 49.3% (GPT-5.2, Dec 2025) to 80.6% (GPT-6 Astra, Sep 2026). To be fair, this is OpenAI's own test of its own models. A high score is a good sign, but I wouldn't take it as proof it will get your real booking right every time. My takeaways 1. So many of the examples are family tasks. OpenAI is testing for the same daily mess every family deals with. 2. My favourite part is small. Before acting, the assistant stops and asks "Want to review the shortlist?" or "Want to review it together before you share it with your parent?" This is exactly how we think about @heyula_ai! Ula plans and books the trip, but the parent sees the exact booking and price and approves before anything is paid. I'd love to see a full family trip in LifeVal next. Trains that don't clash with nap time, a hotel that actually has a cot, all in one go. If an AI could take one family task off your plate, but had to show you everything before paying, which one would you hand over first? Mine is that trip puzzle 😂

Thank you 😄

It did the whole TV side on its own, even finding the AirPlay receiver on GitHub. I only switched on USB debugging on the TV myself and said yes before it turned apps off.

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Glad you like it.

Hand off at payment for now. Will switch to an agent wallet with a per merchant limit once a bank here supports it.

A budget plus a limit per merchant would have done it for us. The harder part was the rails, none of the routes we tried let a small team plug an agent into checkout yet 😅

Exactly! Ula does all the boring form filling, so the only thing left for the person is the one decision that really needs them.

Yeah, I'd add a limit per merchant on top of that. One overall cap would still let it spend the whole amount at a single hotel.

Agreed, and the cart context matters as much as the gate. If the approve screen only shows a total, people tap without checking what they're actually paying for.

No date yet. It depends on a bank here supporting agent tokens. Will explore and add it as soon as possible.