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ramn7

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www.proddigy.app 8mo ago

Show HN: Data-driven insights into patterns in work, wellbeing, and habits

ramn7
2pts0
www.theverge.com 1y ago

Meta is paying $14B to catch up in the AI race

ramn7
6pts0
arstechnica.com 1y ago

Mario Kart World review: Getting there is half the game

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3pts1
arstechnica.com 1y ago

Discord CTO says he's "constantly bringing up enshittification" during meetings

ramn7
6pts0
arstechnica.com 1y ago

Real TikTokers are pretending to be Veo 3 AI creations for fun, attention

ramn7
16pts4
www.theverge.com 1y ago

SpaceX's ninth Starship flight test ends in another explosion

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10pts0
www.proddigy.app 1y ago

Show HN: Proddigy – Productivity Lab (iOS app)

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4pts0
www.theverge.com 1y ago

Mark Zuckerberg Had Dinner with Donald Trump at Mar-a-Lago

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10pts1
news.ycombinator.com 1y ago

Ask HN: Bug on PH doesn't let me comment on my own launch- what can I do?

ramn7
1pts1
www.theverge.com 1y ago

Microsoft and Google are at war again

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20pts8
www.theverge.com 1y ago

Former OpenAI CTO Mira Murati's next move: another AI startup

ramn7
5pts0
techcrunch.com 1y ago

OpenAI's chief research officer has left following CTO Mira Murati's exit

ramn7
7pts0
arstechnica.com 1y ago

NASA has a fine plan for deorbiting the ISS–unless Russia gets in the way

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1pts0
www.t12n.io 1y ago

Show HN: Analytics for Your Life

ramn7
2pts0
arstechnica.com 1y ago

Nintendo, the Pokemon Company Sue Palworld Maker Pocketpair

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4pts1
www.theverge.com 1y ago

iOS 18 is a smart upgrade, even without the AI

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3pts1
arstechnica.com 1y ago

So what are we to make of the highly ambitious, private Polaris spaceflight?

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1pts0
www.theverge.com 1y ago

GeoGuessr star player's tips for success in the popular geography game

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3pts0
theconversation.com 1y ago

Bizarre, nine-day seismic signal caused by epic landslide in Greenland

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2pts0
techcrunch.com 1y ago

Polaris Dawn astronauts perform historic private spacewalk wearing SpaceX suits

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www.promptotype.io 1y ago

Show HN: JSON Schema Editor UI

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6pts1
techcrunch.com 2y ago

Tinybird raises another $30M to transform data into real-time APIs

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1pts0
www.promptotype.io 2y ago

Show HN: Promptotype- Develop, test, and monitor your LLM structured tasks

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6pts1
techcrunch.com 2y ago

Mars doubles down on India's Infra.Market with new $50M investment

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www.promptotype.io 2y ago

Testing Considerations for LLM Tasks

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www.promptotype.io 2y ago

An overlooked game-changing use case of LLMs for software developers

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techcrunch.com 2y ago

Marissa Mayer's startup just rolled out photo sharing and event planning apps

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3pts1
arstechnica.com 2y ago

SpaceX wants to take over a Florida launch pad from rival ULA

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2pts0
techcrunch.com 2y ago

Dutch startup Monumental is using robots to lay bricks

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7pts0
arstechnica.com 2y ago

F-Zero courses from a dead Nintendo satellite service restored using VHS and AI

ramn7
381pts73

I have a somewhat unique answer for that- I started with building a product, and ended up building a dev platform for LLM based products (more specifically- dev platform for json outputting LLM structured tasks).

Here's the story:

At first I was building a tool for stock analysis- the user writes in free language what companies they want to compare, along with a time period, and their requested stocks show up on a graph. They can then further reiterate on it- add companies, and change range all in free language (I had many more analysis functions planned). Following some unique dev challenges I've found- I ended up not releasing the product (possibly will sometime in the future..), and switched to work on a dev platform to help with these challenges.

I was using what I called 'LLM structured task'- basically instructing the LLM to perform some task on the user input, and outputting a json that my backend can work with (in the described case- finding mentioned companies and optional time range, and returning stock symbols, and string formatted dates). The prompting has turned out to be not trivial, and kind of fragile- things broke with even minor iterations on the prompt or model configurations. So- I developed a platform to help with that- testing (templated) prompt versions, as well on model configurations on whole collections of inputs at once- making sure nothing breaks in the development process (or after). * If you're interested, welcome to check it out on https://www.promptotype.io

I personally think it makes perfect sense for FULLstack "founding" engineers (that are not expected to become CTOs) to be cofounders with significant equity, assuming of course they're joining at a risky phase (saying that as an experienced engineer who's both a freelance and solopreneur).

Other than that, it's all a function of compensation/risk, safety, and effort compared to their other options.

Daylio is a cool app but I don't know it very well tbh, so I'll try write a bit about some of t12n's main features (sorry in advance if I'm mentioning features Daylio also has)

Completely customizable tracking: t12n is intended to be very open, in the way that you can track and follow up on literally whatever you want (you're the one defining the tracking questions, and the responses to them).

Experimentation: t12n allows you to define timed experiments of behavior changes, and measure their effects on your tracking- allowing you to consequently decide which behavior changes are actually worth keeping for the long run.

Analytics: T12n provides you with analytics data that's intended to provide you with insights on your tracking.

Last (and very importantly)- notification based tracking: imho an actual game changer, in the way that it minimizes the tracking friction as much as possible: you can be notified whenever you want, and respond to the tracking question directly from the notification- literally takes less than 5 seconds!

Notification based tracking app I've been working on.

Lets you track whatever you want by responding directly to the notification, on your phone or watch.

Also provides general analytics and measures experiments effects (how do time periods with new behaviors affect your tracking).

Have been using it myself for a while now, and will soon post further about my own learnings from it.

Super interesting! Sounds like a very well thought system.

May I ask how do you use some of these outputs? Is it mostly for the action of journaling itself? do you feel like it helps you optimize yourself/ your day to day (referring to the stuff you didn't mention the functionality of such as lazy tracking of health data, personal notes that don't relate to human relationships etc)?

Thanks! I actually saw a few problems: one that you mentioned with actually remembering, another with the friction of having to go to an app/write on paper etc, and another with the way to follow up on that data (browse and analyze). If you're interested, you can see what I cam up with here: https://www.t12n.io it's still on beta and in development but I think it solves those problems well (planning to add more features for better analysis too). Would love to hear what you think if you feel like sharing.

Thanks so much for this thoughtful answer!

Or, ask a professional, i.e., a doctor. I'll refer to his first, of course I'll go to the doctor for anything serious :) I'm trying to optimize for less severe things that can be VERY difficult to diagnose, if only because they can have so many reasons causing them, and the lack of resources due to their low severity.

canvas the literature for some causal hypotheses based in what we already know, and then design the experiment This is something I'm trying to do, but was looking into a better way to track and follow up on. I was thinking for example, it can be potentially easy to see a correlation between back pains and a new type of work out I started to do. I'm trying to track these kind of things and see if I find correlations (will try better, automated analysis soon too).

Thanks for the reference for Quest Diagnostics, will check it out!

Cool system you have implemented there! May I ask if you have a way to process and analyze the data? Do you feel a need to?

wrt to voice assistant automation- someone mentioned here in the comments they use the Google assistant to add stuff to keep or notes, maybe you can try using something like this, combined with another automation to store the data in your preferred structure? (I tried something similar before developing the app, but without using voice assistant and with possibly simpler, structured data and it worked well).