Naman Goyal

Product @Razorpay | Ex PM @Internshala, @toothsialigners || 12 patents, 16+ awards || Hustle: @Xplainerr,

[Naman Goyal @NamGoPro]

A lot of people, on various platforms, asked me how I went on to file 12 patents during 4 years of my college (a Tier-3).

Here's a thread explaining the same! 👇

[Atenov int. @Atenov_D]

FREE $100 in credits with access to Opus 4.8 and GPT 5.5. Sauna AI. No card. Gmail or Slack connect. Nobody is talking about this.

Sauna AI gives you $100 in credits on signup. No card required. Just email plus Gmail or Slack connection - and Slack gets you more credits than Gmail.

What's inside on the free tier:

Claude Opus 4.8, Sonnet 4.6, GPT 5.5 and other current models. Limits are generous - not the usual "10 messages and you're out" situation. Real usage out of the box.

Here's the exact flow:

→ Go to sauna(.)ai
→ Register with email
→ Connect Gmail or Slack when prompted - Slack gives more credits
→ Go to dashboard and start using

3 minutes. $100 in credits. Flagship models. No card.

These promos disappear fast. Bookmark this post so you don't lose the link when it's gone.

[Koda @wadezone]

4步教你复活 claude fable 5！

1.下载 fable 5的系统提示词
https://t.co/FFk7VdR0vO
2.放到你Claude code 项目文件夹
3. 使用启动命令 claude --dangerously-skip-permissions --system-prompt-file CLAUDE-FABLE-5.md
4.模型切换到 opus 4.8 Max
只需要这4步
你会发现 fable 5 又回来了！

[Tom Dörr @tom_doerr]

Generates architecture diagrams from codebases using AI

https://t.co/hG9jii8q6w

[Nav Toor @heynavtoor]

Someone cloned Netflix.
Then cloned Spotify.
Then cloned Instagram.
Then cloned Airbnb.
Then cloned WhatsApp.
Then cloned TikTok.
Then cloned Amazon.

Then put the source code for all of them on GitHub. For free.

Not one app. Not ten. Over 100 open source clones of the biggest apps on Earth. With source code. With demos. With tech stacks listed.

It is called Clone-Wars. 34,555 stars on GitHub.

Built by an Indian-origin developer named Gourav Goyal. He started collecting open source clones of popular apps into one list in December 2020. In March 2021, it went from 0 to 4,000+ stars in 7 days. It was on GitHub Trending for 5 days straight. Someone posted it to Hacker News and it hit #1 on the front page.

Here is what is inside.

Netflix clones. React, TMDB API, full streaming UI.
Spotify clones. Music player, playlists, search, albums.
Instagram clones. Feed, stories, likes, comments, DMs.
WhatsApp clones. Real-time messaging, read receipts, group chats.
Airbnb clones. Search, booking, maps, payments.
Amazon clones. Products, cart, checkout, Stripe payments.
TikTok clones. Short video feed, upload, likes.
Twitter clones. Feed, follow, tweet, retweet.
Slack clones. Channels, threads, real-time chat.
Trello clones. Boards, cards, drag and drop.
YouTube clones. Video player, search, comments.
And 90+ more.

Every clone has source code, a live demo, and the tech stack listed. React, Next.js, Node, Firebase, MongoDB, GraphQL, Tailwind. Every modern stack represented.

Here is why this matters.

Coding bootcamps charge $10,000 to $20,000 to teach you how to build apps like these.

Udemy courses charge $50 to $200 each. One app at a time. One framework at a time.

This repo gives you 100+ fully built apps with source code you can read, fork, and learn from. For $0.

Here is the wildest part.

The best way to learn to build Netflix is to look at someone who already built Netflix. Not a tutorial that teaches you one feature at a time. A complete, working clone with every feature connected.

You do not learn architecture from tutorials. You learn architecture from reading real projects.

100+ apps. 100+ demos. 100+ source codes. One repo.

Bootcamp: $10,000 to $20,000. Teaches 2 to 3 projects.
Udemy: $50 to $200 per course. One project each.

Clone-Wars: $0. 100+ projects. Every big app cloned.

34,555 stars. AGPL-3.0 licensed.

Every app you use. Cloned. Open sourced. Free to learn from.

(Link in the comments)

[0xMarioNawfal @RoundtableSpace]

A DEVELOPER JUST OPEN-SOURCED AN AI SHORTS FACTORY

• Generates TikTok, Reels, and YouTube Shorts automatically
• Free, open-source, and already has 13K+ GitHub stars

Repo: https://t.co/VBmtIloPyw

[Om Patel @om_patel5]

SOMEONE VIBE CODED A CHROME EXTENSION THAT DISGUISES CLAUDE AS A GOOGLE DOC SO YOU CAN USE AI IN PUBLIC

it wraps ai in a fake google docs interface, so on your screen it just looks like youre typing a document, not prompting a chatbot

what it does:

> works with chatgpt and claude
> you just type your question like a normal line in a doc and the answer comes back right there on the page
> microsoft word and notion style themes too, so you can pick your disguise
> rebuilt to properly support multiple ai models behind the doc
> the google docs look is the default

its a chrome extension called gptdisguise

this is genius.

a lot of people are embarrassed to be seen using ai in public (school, work, etc). someone just built the fix.

[Tom Dörr @tom_doerr]

Open source NotebookLM alternative with no data limits and AI agents

https://t.co/LQ8XLUA16i

[shadcn @shadcn]

In light of what happened, I'm doubling down on skills like /improve.

A frontier model got pulled. If it happened once, it's gonna happen again. Fable today. 4.9 tomorrow or maybe gpt 6 one day.

So, treat intelligence as borrowed. Drain intelligence when it's available. Build a catalog of plans today. Then implement later with a cheaper, open source, or a model you control.

Build the backlog now.

https://t.co/rqHw0fPv4G

[Nainsi Dwivedi @NainsiDwiv50980]

Alibaba just open-sourced its internal AI code reviewer — the one that's been running their codebase for 2 years.

open-code-review — battle-tested by 20,000+ Alibaba engineers, 1M+ reviews executed, millions of defects caught. Now it's free. Apache-2.0. One command to install.

And here's the kicker: it's not "yet another LLM wrapper."

Everyone who's tried code review with generic agents knows the pain:
→ Agent skips files on big changesets
→ Line numbers drift off target
→ Quality changes every time you tweak the prompt

Alibaba's fix is brutal in its simplicity: don't let the LLM do everything.

Deterministic engineering handles what must never fail — file selection, smart bundling, rule matching, comment positioning. The agent handles what it's actually good at — reading context, searching the codebase, deep reasoning.

The result:
→ 1/5 the token cost of a generic agent + skills
→ Precise line-level comments that don't drift
→ Stable on massive PRs (each bundle runs as an isolated sub-agent)
→ Built-in rules for NPE, thread-safety, XSS, SQL injection

Setup is genuinely this:

npm install -g @alibaba-group/open-code-review ocr review
Bring any model — Claude, GPT, Qwen, whatever. Works as a CLI, in CI/CD, or as a slash command inside Claude Code and Codex.

Big tech spent two years debugging AI code review at scale so you don't have to.
The repo is already climbing fast.

Link in comments 👇

[Tom Dörr @tom_doerr]

Open-source personal cloud operating system for self-hosting

https://t.co/lEBaDGk1Pt

[Naman Goyal @NamGoPro]

@connoratlunon @ycombinator I am building an AI Saathi for Gig Workers that helps them to become financially sound and stable.

We are helping them to make their unstable income a stable income through investing in right instruments and also helping them to earn more on their savings

[Claude BUG Bounty @trybughunter]

C̶l̶a̶u̶d̶e̶ ̶B̶u̶g̶ ̶H̶u̶n̶t̶e̶r̶ is now BUG HUNTER.

We changed the name because it is no longer limited to Claude Code.

Now it is a standalone open-source CLI that runs from any terminal.

Use Ollama, Groq, DeepSeek, Claude, OpenAI or Grok.

Built for the bug bounty community.

Run it locally with Ollama - no paid AI subscription required.

We are very close to 2.5K GitHub stars. Let’s make it happen, guys.

More updates coming soon.

#OpenSource #BugBounty #CyberSecurity #AI #EthicalHacking #Ollama #GitHub #SecurityTools #BugHunter

[How To Prompt @HowToPrompt__]

https://t.co/CEMM6FLSKN

[How To Prompt @HowToPrompt__]

Apple just did something nobody expected.

They turned 2 billion iPhones into local AI machines.

They open-sourced coreai-models, the entire toolkit that lets you export any HuggingFace model and run it natively on iPhone, iPad and Mac with zero cloud.

→ Runs 100% on the Neural Engine
→ No cloud. No API keys. No subscriptions.
→ Fully offline. Your data never leaves the device.

It even ships with skills for Claude Code, Codex, and Gemini, so your coding agent already knows how to use it.

100% Open Source.

[Jafar Najafov @JafarNajafov]

This feels genuinely too powerful.

Someone quietly built the most complete voice cloning directory on GitHub and every model in it is free.

Think of it like this. You record 3 seconds of any voice. Upload it. Press run. The AI speaks in that exact voice, in your language, with your emotion, instantly.

That used to cost money. Now it doesn't.

What the repo covers:

→ 35+ voice cloning models with side-by-side feature comparisons
→ Music generation models that write full songs with vocals
→ Audio restoration tools that clean up old, damaged recordings
→ Speech recognition systems that transcribe in real-time

The standout is Supertonic 2. It runs entirely on your device, no internet required, and generates speech 42 times faster than ElevenLabs. On a regular laptop not a server.

Studios pay thousands of dollars a month for this kind of audio stack.

This repo gives you all of it for free.

100% Open Source.

[Harman @itsharmanjot]

A GRAD STUDENT WITH 32 FOLLOWERS JUST HIT 56,400 STARS.

His name is Yuxiang Lin. GitHub handle: Lum1104.

He's at Georgia Tech. He researches multimodal emotion recognition. He plays badminton in his spare time. His personal site is a .dev subdomain. His pinned bio still says he's "currently working on LLM agents."

A few months ago he had 655 stars on a side project called Understand-Anything — a plugin that turns any codebase into an interactive knowledge graph.

Then everything broke open.

The project got picked up by Egonex (Infinite Universe, Inc.). It went from a personal repo to an org-backed release. It got translated into Chinese, Traditional Chinese, Japanese, Korean, Russian, and Spanish. It hit Trendshift.

56,400 stars later, it's becoming the default code-understanding plugin for nearly every AI coding tool that exists — Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode, OpenClaw, Antigravity, Pi Agent, Vibe CLI, Hermes, Cline, KIMI CLI, and Trae.

Here's what the plugin does:

→ Tree-sitter parses your codebase for the structure
→ LLM agents add the meaning
→ Builds a knowledge graph of every file, function, and class
→ Opens an interactive dashboard you can pan, zoom, and search
→ Generates guided tours so you learn a 200K-line codebase in the right order
→ Tells you what your changes break before you commit
→ Auto-updates on every commit via a post-commit hook

568 commits. 7 releases. MIT license. v2.7.3 shipped May 19, 2026.

One honest note: the LLM passes cost real tokens on large repos. The structural graph is free and reproducible. The semantic layer is where your model bill shows up.

The README still credits him by name. The license still has his name on it. © Yuxiang Lin and Infinite Universe, Inc.

A researcher who studies how machines understand human emotion built the tool that finally teaches machines to understand code.

This is what open source was supposed to feel like.

100% Open Source.

Repo in the first comment.

[Xiaomi MiMo @XiaomiMiMo]

🚀 MiMo Code V0.1 is now live and open-source！

More than an AI coding assistant in your terminal — it's the smartest coding partner you'll ever work with.

Comes with MiMo V2.5, a multimodal model available free for a limited time, featuring a million-token context window—ready to use out of the box.

♾️ Infinite Context: Knowledge accumulates automatically, and with lossless compression, even million-line projects keep every critical detail intact—quality never drops.
🧠 Agent-Model Synergy: An Agent framework deeply optimized for MiMo, with a full closed loop of testing, review, and validation—so complex tasks get done in one pass.
📝 Compose Mode: Specs → Plans → Build → Report. Design first, code second—clear thinking, no rework.
🔄 Self-Evolving System: Every session is automatically reviewed, distilling experience and best practices—the more you use it, the smarter it gets.
🎙️ Voice Input: Powered by MiMo-V2.5-ASR — just speak instead of type, and your voice becomes the prompt for truly hands-free coding.
🔌 Claude Code Compatible: Automatically loads your existing skills, MCP servers and commands, and reuses your API configuration—zero-cost migration, no setup required.
🌐 Open & Flexible: MIT licensed, with support for leading model providers including Anthropic, OpenAI, DeepSeek, Kimi, GLM and more.

Install in one line:
Mac & Linux
curl -fsSL https://t.co/ViHsb4eGns | bash
(For the best experience，we recommand Mac user use it on iTerm or vscode terminal)
Windows
npm install -g @mimo-ai/cli

🔗 Learn more
Website ↓
https://t.co/Aq9BVuyA9a
Blog ↓
https://t.co/f40wLgQicK
GitHub ↓
https://t.co/O5Mj3rzl9g

[Md Ismail Šojal 🕷️ @0x0SojalSec]

You can now fine-tune Qwen3.5

just need 5GB VRAM to train Qwen3.5-2B LoRA locally, 1.5x faster with 50% less VRAM.

Qwen3.5-4B Colab: - https://t.co/YYTtHQJ0eJ

- https://t.co/2wlamIRtZ6

[Dan McAteer @daniel_mac8]

This is the best way to use Claude Fable in Claude Code without immediately hitting your limits.

1. Model set to Fable 5
2. Reasoning on Max
3. Instruct Claude to run a dynamic workflow where:
3a. Fable is the orchestrator
3b. Opus does the reasoning heavy phases

Fable is so overpowered that you don't need its intelligence for every step.

Let it orchestrate Opus or even Sonnet.

[Tancrede @Tancrededib]

Investing $250k in non-US based builders.

40 spots, 8 weeks, San Francisco.
Flights/housing/food covered + visa support.
This Fall

Looking for:
technical/product builders
pre/early idea cofounder-seeking

Comment your edge and I’ll get back to you!