UltraDL Pro is a cross-platform downloader with both a Linux TUI and a Python CLI that works on Linux, macOS, and Windows. It supports multiple platforms including YouTube, TikTok, Twitter, Twitch, and Spotify.
Key Features:
Multi-platform video support
Spotify tracks, albums, and playlists download
Terminal-based YouTube search
Auto-organizer for downloads
Browser cookie integration to bypass bot detection
Former Netflix engineer ThePrimeagen has become one of the most influential developer educators online. This profile breaks down his background, teaching philosophy, Vim obsession, and why so many developers resonate with his focus on fundamentals, performance, and intentional software design.
xsql started as a small internal tool to avoid rewriting SQL schemas by hand
when switching between SQLite, PostgreSQL, and MySQL for local development
and testing.
The main idea is to parse CREATE TABLE statements into a small intermediate
representation (IR) instead of doing text-based rewrites. That makes the
conversions easier to test and extend, and it’s why I’m experimenting with a
richer IR v2 (including constraints and JSON output) rather than adding lots
of ad-hoc rules.
The scope is intentionally limited for now (schema DDL only, no data
migration). I’d really appreciate feedback on the IR approach, portability
edge cases, or what features matter most in real-world schema migrations.
I'm the creator of Memarya. I started this project because I believe that access to education should be open and free for every student. My goal is to build a full-featured, open-source e-learning platform that communities can host and adapt themselves.
It's still in the early stages, but I've just opened up the source code and would love to build this out in the open. I'm looking for feedback, ideas, and collaborators who are passionate about open education.
The project is built with Next.js, Drizzle ORM, Auth.js, and shadcn/ui. I'd be grateful for any feedback on the code or architecture.
If you're a developer, educator, or designer who finds this interesting, please check out the repository. I'm setting up a roadmap in the GitHub Issues, and I welcome any contributions, from bug reports to new features.
Do you ship more than you talk?
Gityap compares a GitHub user with a Telegram channel and outputs a single score: a clean ship-to-talk ratio.
No dashboards. No analytics maze. Just signal.
The Idea
There’s a lot of noise in tech.
Threads. Opinions. Announcements. “Building in public.”
But how much actual code is being shipped?
Gityap connects:
GitHub commits
Telegram posts
And produces one clear output:
Signal score = commits vs. posts
You immediately see creator behavior patterns.
What It Does
Compare a GitHub handle + Telegram channel
Output one score
Show ship ratio
Rank top GitHub “shippers”
Rank top Telegram “yappers”
Track most active channels by subscribers
Optional:
Connect GitHub OAuth to include private commits (for your own account)
Public-only works without login.
Example Data
Top GitHub Shippers (by commits)
@levlam — 259,448 commits
@Dawaman43 — 6,028 commits
@frectonz — 4,866 commits
@sifenfisaha — 1,737 commits
@natanimn — 1,570 commits
Top Telegram Yappers (by posts)
@gugutlogs — 4,757 posts
@cyrilogban — 4,220 posts
@thefrectonz — 3,855 posts
@BurhanOps — 2,602 posts
@DoughNutDrops — 2,376 posts
It’s interesting to see overlaps — some builders talk a lot, some barely talk, some do both.