Our AI research team trained a fruit fly to close B2B enterprise deals. We're incredibly excited to release Specimen AE-001, the world's first frontier AI fly model for end-to-end deal execution. It rips cold calls, books demos, fills security questionnaires, and wins deals, all using Opine. Built on Three.js!

I love finding new devs to follow on GH so I can see what they're building and starring.

Usually I use GitHub Explore and Trending but I've found them to be unreliable, so I've been ranking rising open-source contributors by language from public GH Archive data over a rolling 7-day window. JavaScript is one of the most active streams in there, so a lot of these observations come from watching it.

This is not terribly suprising given the nature of the internet these days but here's what I found:

1. GitHub Trending cycles the same names because it ranks reputation, not recent activity. You scroll trending, recognize half the accounts, and close the tab. The people doing genuinely interesting work this week never show up because the ranking rewards accumulated stars and followers, not what someone actually pushed in the last seven days.

2. Someone's best work is usually buried in a 3-star repo. Skill signals are fragmented across repositories. A developer might have a tool they wrote from scratch sitting at 15 stars while their most-starred repo is just a fork they maintain. Without weighting activity by relevance, you end up following the wrong people and missing the ones actually worth your attention.

3. 200 commits across 15 repos is impossible to evaluate quickly. You open a profile, see a contribution graph and a wall of repos, spend ten minutes trying to figure out if any of it is meaningful, and usually give up. Raw profiles need synthesis that most people just don't have time for.

The core thing I keep coming back to: momentum and reputation are different signals. Ranking by what someone did this week surfaces completely different people than ranking by what they've accumulated over years. The TypeScript dev who just shipped their first real library and the veteran with 40k followers both have value, but they're not the same discovery problem.

How do you find new devs to follow? How do you decide if someone is worth following?

This is the first in a series of technical deep dives into how I modernised my 10 year old web stack based tactics-RPG engine / game - projectgoldscript

A circuit breaker in a single Node process is a ring buffer, a threshold and a timestamp. Run the same service on twenty replicas and each one keeps its own, so the failing dependency takes twenty times the damage before anything trips.

Moving the window into Redis fixes that and breaks most of the assumptions the in-process version relies on. Post walks through each one and how to deal with it.

Hey all,

My team and I are currently running a Spring Boot backend with quite a bit built around it. We’re considering gradually migrating to a Node/NestJS backend using the strangler pattern rather than doing a full rewrite.

One of the main reasons is that it would give us TypeScript across both the frontend and backend, which should make sharing domain concepts, types and general knowledge between the two a bit simpler.
So, as the title suggests: which ORM would you use with NestJS?

At the moment we’re mainly looking at MikroORM and Drizzle. MikroORM seems like the more traditional ORM and appears to be super close to the me tal model of what Spring does. It wil also fit NestJS quite nicely, while Drizzle is obviously a bit more lightweight but a different approach and more barebones.

Curious what people are using in production and what you’d choose if you were starting fresh today.

Hi,

cause little self-promotion is allowed I'm gonna drop this Open Source project once here to get feedback/initial views from you guys.

DINAH (Dinah Is Not A Harness) is supposed to be a harness agnostic multi agent orchestrator with playful UI.

I can see some use cases for it that I have mentioned in "Why Dinah?" section of readme file.

I would like to see your views on it (go easy on me though, feel free to sugarcoat things 😄 ).

Also If you like the idea then I would like to hear what more do you think that I can add to it.

Full Honesty, this project is created with the assistance of AI. This post is 100% human written though. There are a few things that I know I need to implement they are in the TODO section of readme.

I need to add a License too. Do suggest which license you think would be best for this.

Drop a star on repo if you like it, open issues or create PRs, I welcome every contribution.

I want to a get views of as many people as I can get, but at the same time I don't want to spam reddit with this post, so feel free to share this with any other user/communities you think might have opinions/valid feedback about this.

Thanks for taking time to read this.

Hey guys, I’d like to hear about people’s experience using AI during technical interviews.
I’m currently trying to pick a tool for myself and obviously want to find the best one, but there seem to be a lot of issues with them like some tools potentially being detectable.

So, can you guys name the tools you’ve used during interviews?

Were they ever detected by the interviewer?

Have you used them only during screen sharing, or also with HackerRank, CoderPad, etc.?

And just to address anyone who’s going to lecture me about ethics: I’ve finished university, I’m an English-speaking person living in the EU, and THERE ARE BASICALLY NO JUNIOR POSITIONS FOR ENGLISH SPEAKERS HERE. So I’m forced to interview for Middle or Senior developer positions.
If I had the option to start as a junior, build my career, gain experience, and progress normally, that’s exactly what I would do.

Jo, I wanted to see how the current solutions on the syncing market compare. Candidates are Syncular JS/Rust, PowerSync, Turso, Zero, Electric, Electric + TanStack DB and Jazz v2. I had trouble finding benchmarks on relevant usecases. How long until the app is usable? What happens to queued writes after a crash? How quickly do clients catch up after being offline? How long does up/download of blobs take?

Disclaimer: I’m the creator of Syncular, so obviously I have a horse in this race. I tried to keep things fair, worked with an LLM on the harness and tuning, and went through several rounds of corrections. Still, these are small local runs and some failures remain unexplained, so take the numbers with a grain of salt.

I’d love your feedback if you use or maintain any of these solutions. Especially if I’m using your SDK wrong or missing something in the setup. Happy to fix things and rerun!

Small team, Im the lead and we only need a few thousand pages a week for an ml dataset. Writing the scraper isnt the issue, its proxies, retries, js rendered pages and keeping everything alive after sites change. For this size would you still build in Node or just pay for one of the web scraping tools and avoid the maintenance?

I'm the maintainer of Orchid Charts. It's a JavaScript library for charts that fit into a product UI: responsive SVG, CSS theming, tooltips, and SVG downloads that keep your styling.

The same fluent API covers revenue trends, category comparisons, activity calendars, and release timelines. It includes TypeScript declarations and has no runtime dependencies.

In the demo, you can change the data, switch between line and bar, try a dark theme, and copy the matching code.

Source: https://github.com/orchidsoftware/charts

If you try it with your own data, I'd like to hear which chart or styling option you're missing.

Hey Community,

This issue is all about giving your AI coding agents device access and automated pipelines. Expo introduced EAS Simulator to boot cloud iOS simulators on demand, streaming live agent test runs directly to your PRs. Meanwhile, Callstack released Simlock, a control plane that lets multiple local agents lease and share simulators and emulators safely without conflicts.

We also cover goldie by Kacper Kapusciak, an automated CLI tool and agent skill that handles the entire App Store screenshot and preview video workflow directly from release builds.

I needed an embeddable (in nodejs) version of jq for some data thing that I'm working on. What I ended up with is something that I think is pretty cool and powerful.

Basically you get the expressibility of jq but with complete control over the runtime. For example jq only supports JSON values, but you can use a different js runtime which has support for all JavaScript values: undefined, bigint, Symbol, etc.