HN user

flurly

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You can also find me on twitter @TheBuilderJR

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www.garmin.com 10h ago

Garmin $200 no subscription whoop alternative

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4pts0
github.com 10h ago

Retry Storm Lab

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3pts0
colossus.com 1d ago

Sarah's Wager

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27pts18
github.com 1d ago

LLM Margin Lab

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3pts0
docs.telemetry.sh 1y ago

How to add telemetry to your codebase

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2pts0
twitter.com 1y ago

AWS Revenue by Year

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2pts0
twitter.com 1y ago

Telemetry.sh

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5pts2
whatdoesthiscodedo.com 2y ago

PowerShell command with hidden window style and bypasses the execution policy

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2pts0
twitter.com 2y ago

Make sure to use growing VC backed free-tier db providers

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2pts0
twitter.com 2y ago

DHH – Section 174 is baffling. All software R&D costs now have to be amortized

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15pts4
www.thebuilderjr.com 2y ago

On Positivity

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1pts0
twitter.com 2y ago

Praise in Public, Critique in Private

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2pts0
twitter.com 2y ago

This UN vote shows how completely isolated we are from world opinion

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54pts92
twitter.com 2y ago

Sama – tech industry should support muslim and arab colleagues

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3pts1
logsnag.com 2y ago

Logsnag – Realtime monitoring for your business

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7pts0
logsnag.com 2y ago

Tiny Stack (Astro, SQLite, Litestream)

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3pts1
www.thebuilderjr.com 2y ago

The Tyranny of High Expectations

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2pts0
github.com 2y ago

Plate – RTE for React

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2pts0
www.thebuilderjr.com 2y ago

Building a LLM Project with LLMs

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2pts0
twitter.com 2y ago

Paul Biggar removed from CircleCI board

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71pts14
darklang.com 2y ago

Darklang

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2pts0
www.ratelimitapi.com 2y ago

Show HN: RateLimitAPI – API for rate limiting in distributed environments

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5pts5
www.llmtemplates.ai 2y ago

Show HN: LLM Templates – Streamline daily tasks with templated LLMs

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3pts3
twitter.com 2y ago

David Sacks and A16Z tried to take down Parker Conrad

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1pts0
github.com 2y ago

Burn – comprehensive dynamic Deep Learning Framework built using Rust

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2pts0
github.com 2y ago

Cap – OSS Loom Alternative

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3pts1
pdf.ai 2y ago

Chat with Any PDF Document

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1pts0
twitter.com 2y ago

Q* = Q-Learning and a* Search?

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3pts0
twitter.com 2y ago

What if one day OpenAI does discover AGI?

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1pts4
github.com 2y ago

Show HN: c2p – Code to Prompt

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1pts1
Telemetry.sh 2 years ago

Thank you! With respect to datadog the elephant in the room is cardinality and pricing. We charge $20/mo and based on usage of data storage and query execution time. DD is notorious for charging for metric cardinality, which can very easily blow up. Coinbase famously racked up a $50m bill from this!

With respect to the product, we believe there's a segment of the market that likes to know what they are measuring. Datadog and other "telemetry" tools often times install an agent and collect metrics automatically. While this is a great UX onboarding, it does make it harder to know what data you have and how to query it. Whereas with telemetry we believe having that "manual shift" mode where you log your own data and write your own queries is useful in many scenarios.

I'd love to chat more if you're up for it! Shoot me an email at hi@telemetry.sh if you're open to the idea.

Generally a big fan of Zed. Super fast and quite innovative in their grep UI. My biggest current gripe is Zed's filesystem watchers are either broken or misconfigured on Mac. If I do a `git rest --hard` via terminal or github desktop UI, zed doesn't detect it and I'm forced to do a hard reset of the app to get back to a synced state.

Thank you! I just pushed an update to the website to use the params parameter.

I'd love to make this more ergonomic for you. I'm used to using configuration propagation mechanisms where you can change configs without redeploying code (basically the webserver subscribes to some central pubsub config store). That paradigm works with this since you could parameterize the duration using the config value. What would work better for you?

Hey HN community! I've been working on something I think you'll find pretty neat: a Rate Limit API. It's a tool I built with the goal of tackling the challenges of API rate limiting, especially in distributed systems.

One of the core ideas behind this project was to make it dead simple to use, kind of like what Stripe did for payments. I wanted developers to be able to integrate rate limiting into their systems without the usual complexity. You'll find examples in JavaScript, Python, and Ruby to get you started in no time.

Let's talk about distributed counting – it's a tough nut to crack. In a distributed system, maintaining a consistent rate limit across multiple servers is tricky. There's a lot of coordination and data syncing involved, which can be a real headache. This API abstracts all that complexity away. It provides a centralized, consistent approach to rate limiting, so you don't have to worry about the underlying challenges.

On the pricing front, it's free for up to 1 million requests per month. We've got more flexible plans for higher volumes, all aiming to keep your costs reasonable.

I'd really appreciate your thoughts on this, especially around the ease of use and the distributed counting solution. If you've ever felt the strain of managing API traffic, especially in a distributed environment, I'm keen to hear how this might fit into your workflow.

Can't wait to hear what you guys think!

JR

Hi HN,

Just wrapped up the first version of my newest project: LLM Templates. It's all about making your daily grind with Large Language Models (like GPT-3.5 and GPT-4) a bit easier.

So what's the deal with LLM Templates? It lets you create and use quick templates for those repetitive tasks you do with AI. eg.

Deciphering code: “What does this code do? {{ code }}”

Email makeovers: “Make this email sound cooler {{ email }}”

Quick info grabs: “Need the email of {{ person }}”

Right now, it only supports GPT 3.5 and GPT-4, but I'm planning to add more models soon.

I hope it could be a real time-saver for many of you. Give it a whirl and let me know what you think!

Cheers!

JR

Hi HN,

c2p is a lightweight utility binary that allows you to quickly pattern match files in your repo and turn them into a single prompt that you can copy into your clipboard and paste into LLM tools including ChatGPT. I built c2p because I found usage of ChatGPT becomes unwieldy once I want to use it for multiple file projects.

The way it works is under the hood c2p turns your list of patterns/globs/etc into a list of files. It then constructs a prompt that looks as follows:

File: {filepath}

{contents}

for every file that matches your inputted pattern.

As an example I ran

`c2p src/.rs migrations/*/.sql | pbcopy`

In a small rust webserver side repository, prefixed the prompt with some instructions directing ChatGPT to add a new feature, and bam ChatGPT took in the context of the entire repository and gave me the exact changes I needed to make to ship my feature: https://chat.openai.com/share/3c674621-e526-45b7-bce8-10c38e...

I thought this was super mind-blowing so I wanted to share it with HN to see if it would be useful to others.

Does this mean my site won’t need a cookie alert banner?

Correct

what happens if my hobby site gets an unexpected surge in traffic?

Nope. You don't even need to put in CC to sign up. You'll only get billed if you explicitly upgrade. That being said if you are consistently over for many months, we may cut off data ingestion and dashboard access!

TL;DR

The way mmap handles memory makes it a bit tricky for the OS to report on a per-process level how that memory is being used. So it generally will just show it as "cache" use. That's why (AFAICT) there was some initial misunderstanding regarding the memory savings

Hi - co-founder of Beam here. Appreciate the discussion about our product in this context. We've tried to differentiate our product from the other GDPR compliant web analytics by also focusing on product analytics proxies which are easy to implement and interpret. We think our funnel analysis and cohort retention tools can be very helpful. To learn more about why we built Beam, check out this blog post - https://beamanalytics.io/blog/why-we-started-beam

Staying motivated at work over the long term can be challenging, but here are some tips that might help:

1. Set clear and achievable goals for yourself and track your progress.

2. Find meaning and purpose in your work by connecting it to your personal values and interests.

3. Continuously learn and develop new skills to keep things fresh and interesting.

4. Cultivate positive relationships with colleagues, superiors, and customers.

5. Practice good self-care, such as exercise, sleep, and relaxation.

6. Recognize and celebrate your accomplishments, both big and small.

7. Seek feedback and engage in regular performance evaluations to get a sense of how you're doing and what areas you can improve.

Remember, motivation is a personal and dynamic experience, so it's important to experiment and find what works best for you.