seer

time is running out

[seer @ico_mike]

https://t.co/oCIzyGuvGd

[kiosa @thegreatest_sv]

holy f*ck, 3D modeling was never this easy honestly

I made 7 felt puppets in my own 3D tool. patchwork, paper bag, denim, corduroy. they dance to a 138 BPM track and their jaws move on the beat. an AI agent did the heavy lifting, I directed it.

everyone working in design should be aware of what's coming in 2027. learn these AI tools ASAP:

-> Blender MCP: describe a scene in plain words, Claude builds it in Blender
https://t.co/RGXkoZ3TtZ

-> Blender Skills: pro Blender workflows your agent follows step by step
https://t.co/UcgHiqDhFR

-> TRELLIS.2: one image in, a full 3D model out
https://t.co/OjmtfNuTUr

-> Hunyuan3D 2.1: turns a photo into a 3D asset with real materials
https://t.co/MMWkUwCTHV

-> UniRig: gives any 3D model a skeleton so it's ready to dance
https://t.co/RiNNuIQLjx

-> dream-loop: a critic agent checks every render until it looks right
https://t.co/eDzkTtw5Bp

-> Graphify: turns all your old projects and files into a memory Claude can search
https://t.co/68TFgbUDBK

send this to a 3D artist who still animates every jaw by hand.

like + repost, and if you want the same prompt, comment "GANG"

[wast3 @0xWast3]

Two Anthropic engineers built a prompt system that spits out a rigged Blender monster in minutes, and the trick is that it never designs the creature

It designs the skeleton first. Anatomy decides what a creature can do, and everything strange gets added on top of something that works.

> FRAME - limb count, joint positions and weight distribution set before any mesh exists
> FLESH - muscle volumes grown onto that frame, so the silhouette follows the structure
> WARP - the strangeness applied last, as deformation rather than invention

Image-led creature generation looks incredible and falls apart on the rig. Limbs bend in places nothing could bend.

Starting from a skeleton flips the failure. The monster may look wrong on purpose, but it always moves like something alive.

The warp stage is where the personality arrives. Stretch one limb pair, collapse a joint, invert a spine curve, and it reads as a different species.

Because the frame is parametric, every variant is one number away. A hundred monsters cost barely more than the first.

Weight distribution is the detail everyone skips. It decides posture, and posture is what makes a creature look dangerous or sick.

Studios build this knowledge into one senior artist. Here it sits in a prompt that any junior can run.

The full prompt chain and a batch of monsters from one frame are laid out underneath.

[dnap @dnapway]

Palmer Luckey reveals the startup he'd build today: oxytocin doping to end divorce

"I would try to end the tragedy of divorce with oxytocin doping for marriage counseling."

"We understand mammal pair bonding pretty well. There's a lot of people who want to stay together. Most of the people who don't want to stay together should stay together, especially for their kids."

"And we can, if people think SSRIs are fine, which they're not, but if they were, then oxytocin doping to stay together is definitely fine."

"It's the mammal pair bonding chemical. There's things you can do to increase the uptake, and it's very well understood. Also, totally unregulated, which is great. Unregulated spaces are a lot easier to do. You can go buy a kilogram of oxytocin on Sigma Aldrich Chemical Supply right now, and if you do that, maybe you won't die alone."

"It's pure biology. It's used for women who don't bond with their kids, and now for women who don't bond with their husbands. It's also used for kids with various neurological issues, some kids with autism who struggle with pair bonding."

"The cool thing is it's a self-reinforcing loop. We understand that very well. Unlike most drugs, it doesn't form a chemical dependency. It actually unburdens you from a chemical dependency."

[HatsOff @HatsOffff]

Max Blumenthal dispels the myth that it all began on October 7

[Mr. Buzzoni @Mr_Buzzoni]

The winner of an Anthropic hackathon open sourced his entire Claude Code setup - and this is absolute f*cking gold

68 subagents, 286 skills, 94 commands, MIT license

ECC swaps a lone Claude Code assistant for a whole engineering department

a blueprint comes before any build, a failing test comes before any fix, and every change gets a second look from a context that never saw it written

• who does what
> planning - hand it a single sentence, get back a plan you sign off before a line of code
> review - a fresh-context read of your diff, with its own reviewer for each language
> build repair - a dedicated fixer per toolchain, PyTorch and CUDA included
> security - an OWASP sweep, plus a scanner hunting injection holes in your agent config
> architecture - catches design mistakes while they're still cheap, before they turn into migrations
> domain work - database queries, ML pipelines, e2e tests, docs

the security duo is the piece most people never set up

an external OWASP audit costs four figures and a week of waiting
this one wraps up on your branch by lunchtime

• what the skills cover
> testing - tdd-workflow moves you from red to green, eval-harness runs above it
> language packs - Python, Go, Rust, C++, Django, Laravel, Spring Boot, Next.js
> context - search-first checks the docs before writing, iterative-retrieval stops your whole repo flooding the window
> shipping - Docker, CI/CD, health checks, rollbacks, migrations
> beyond code - writing in your voice, market research, pitch decks

fork it, trim it, and have your own version running by tomorrow

begin with a single plan and a single rules pack
turning on all 286 skills at once is the quickest way to make it worse

whoever wires this in over a weekend spends the next quarter reviewing work instead of typing it

[Nanana365 @nanana365media]

🔴INDONESIA 🇮🇩| 🌋 Mount Anak Krakatau erupted on Sunday, September 6, sending around volcanic ash plumes up to 50,000 feet. This eruption led to the temporary suspension of flight operations at Jakarta's Soekarno-Hatta International Airport. More than 200 flights were diverted.

[Tom Dörr @tom_doerr]

Native macOS PCB design tool with schematic and layout editors

https://t.co/xjzWeRKisr

[K2S @k2sbhai]

nvidia is casually giving you access to 5 frontier chinese AI models for free 😳

no credit card
no subscriptions
just one API key that unlocks everything

what you get for $0:

- DeepSeek V4 Flash for ultra-fast inference
- MiniMax M3 as a drop-in coding assistant
- Qwen3.5-397B for advanced reasoning tasks
- Kimi K2.6 for agentic workflows and long chains
- GLM 5.1 as a reliable everyday model

why this is huge:

> no paying separate subscriptions for different models
> no changing your existing workflows or tools
> no vendor lock-in since everything is OpenAI-compatible

getting started takes less than 2 minutes:

1. go to https://t.co/q50rSatNbb
2. sign up and verify your account
3. generate your nvapi key
4. set your base URL to https://t.co/92kkbFSf8D
5. pick any model and start building

supported models:

> minimaxai/minimax-m3
> qwen/qwen3.5-397b-a17b
> moonshotai/kimi-k2.6
> zhipuai/glm-5.1
> deepseek/deepseek-v4-flash

pro tip:

use DeepSeek V4 Flash for speed, Qwen for hard reasoning, Kimi for agents, and MiniMax as your daily coding companion

the best part?

one free key gives you access to 100+ models across NVIDIA's catalog

~40 requests per minute is more than enough for most developers and personal projects

5 frontier models that compete with GPT and Claude, all without spending a dollar

bookmark this and claim your free API key before the limits change 👀

[Khushi Doshi @aiwithkhush]

10 GITHUB REPOS THE INTERNET KEEPS TRYING TO DELETE

Bookmark every single one. Lawyers came for each of these. The internet put them right back.

1. https://t.co/JZha3lfHVn

In 2020 the RIAA forced GitHub to delete it. The outcry was so loud GitHub reversed the takedown in three weeks, put the code back, and started a $1 million fund to defend developers from the next one. The takedown made it the most famous downloader on earth.

2. https://t.co/xXYZnn7ZPb

When the original got hit, the community built a faster successor and poured everything into it. It now pulls video from 1,800+ sites and ships a fix within hours every time a platform tries to break it. 171K stars. They cannot kill what keeps getting rewritten.

3. https://t.co/hJCyo7LAbX

Paste a link from TikTok, Instagram, X, or YouTube and get the clean file back, no watermark, no ads, no account. Sketchy clone sites get taken down constantly. This one is open, audited, and just keeps running. 39K stars.

4. https://t.co/k0xxjmWNK8

Publishers pressured the original Tachiyomi until the team shut it down in 2024. Within days the community forked it into a server you run yourself. Thousands of sources, your own machine, nothing for a legal team to seize. They killed the app and woke up the whole ecosystem.

5. https://t.co/NMt0z6Umc0

The other half of the Tachiyomi resurrection. The same developers rebuilt the mobile app under a new name and it came back bigger than the original ever was. You delete the project, you just hand it a fresh start.

6. https://t.co/3G2eQvuPvY

Mozilla shut down Firefox Send in 2020. A developer named Tim Visée refused to let it die and revived the whole thing. Encrypted file sharing with self-destructing links, answering to no company. The corporation quit. One person kept it alive.

7. https://t.co/CLFZ4tnub8

A private front end for YouTube with no ads, no tracking, and no Google account. Google has tried to choke it for years. The project just spins up new instances faster than they can block them. You cannot DMCA a thing that lives in a hundred places at once.

8. https://t.co/YylbvdCHsx

A paywall remover that loads articles by acting like the Googlebot every site already feeds for free. The famous 12ft io got pressured into trouble. Ladder runs on your own server, so there is no company to lean on and nothing central to shut down.

9. https://t.co/k1gCUedbML

A YouTube app for Android with no Google services, no ads, no account, and background play built in. It survives entirely because it is open and mirrored everywhere. Take down one copy and a thousand forks are already running.

10. https://t.co/RKeCYzNyAb

Block ads and trackers for your whole house from your router. The ad industry has every reason to want this gone and zero way to remove it, because it runs on hardware you own. The block list updates itself. The lawyers have nowhere to send the letter.

They take it down. The internet rebuilds it overnight. That's the whole pattern.

[0xMarioNawfal @RoundtableSpace]

Web scraping is dead.

PixelRAG skips HTML parsing completely. It screenshots the page and a vision model reads the answer straight off the pixels.

100% open-source. Comes with a Claude Code plugin that gives Claude eyes.

[Rasmus Nordström @RasmusNordstrm]

A lot of hype around the new Fable 5 model from @AnthropicAI.

It's definitely among the top models in terms of quality and speed. However, it's also quite expensive.

13 min / $37 using Text to CAD https://t.co/GubhgwynAd

(Comparison with Gemini 3.1 Pro in the comments)

[How To Prompt @HowToPrompt__]

A toothpaste company has quietly killed the entire market research industry and nobody is talking about it.

Colgate published a paper showing you can predict real purchase intent at 90% accuracy by simply asking LLMs to roleplay customers.

And this is beyond insane.

If you ask an AI, "Rate this product from 1 to 5," it gives safe, middle-of-the-road garbage.

So researchers invented a method called Semantic Similarity Rating (SSR).

Instead of asking the AI for a number, they asked it to roleplay.

They gave the LLM a demographic profile. They showed it a product concept. And they asked it to write down its raw, unfiltered thoughts.

Then, they used a semantic model to translate those written thoughts into a numerical score.

The results are staggering.

Tested against 57 real corporate surveys and 9,300 actual human responses, the synthetic AI consumers matched real human buying behavior with 90% reliability.

They perfectly mirrored how different age brackets and income levels react to price changes.

And they provided detailed, qualitative feedback that was deeper and more critical than what actual humans wrote.

This destroys the economics of traditional market research.

You don't need to wait a month to see if a product will sell.

You can simulate 1,000 hyper-targeted customer interviews overnight.

You can A/B test pricing across every demographic instantly.

[Jake Fitzgerald @earthtojake]

first stable release for text-to-cad (0.1.0)

- bambu labs + gcode skills (prompt to print)
- 3x faster STEP builds, 5x faster viewer
- plugins for codex, claude, gemini
- tonnes of new viewer controls
- contributor friendly repo (!!)

about to cross 5000 stars, 20k downloads

[Sadao Tokuyama @tokufxug]

Python不要で動作する、C++製のリアルタイム3D全身ポーズ推定エンジン「SAM3DBody-cpp」。

カメラ映像から全身・両手70箇所の関節と3Dメッシュを高速出力します。超軽量なC言語APIで他言語への組み込みも容易。

ロボティクスやモーションキャプチャの開発者の活用に期待されたプロジェクトです。

[How To Prompt @HowToPrompt__]

MIT open-sourced an AI model that converts photos into fully editable CAD programs and it quietly kills the $150/hour CAD modeling industry.

Just upload a sketch or photo and it generates the full parametric 3D model. exportable as STL. ready for manufacturing.

→ no SolidWorks license
→ no weeks of modeling
→ no CAD engineer needed

100% Open Source

[Movez @0xMovez]

Jane Street pays $750k/ year for quants who can answer how to use Stochastic Process and Markov Chains in quant trading.

This 1-hour MIT lecture on probability gives you the same insights quants get paid $60K/month for.

Bookmark & watch today. Then read the article below.

[Ebun @kenkenlewu]

Many people think you can only shop from China using Alibaba or AliExpress… but that’s not true.

These are alternative sourcing websites from China:

1. Industrial equipment
https:// www.made-in-china. com

2. Jewelry & accessories
https://www. gooddiy. com

3. Small goods (non-bulk items)
https://www.yiwugo. com

4. Beauty products & cosmetics
https://www.nala. com. cn

5. Women’s shoes
https://www.go2. cn

6. Toys & kids items
https://www.ctoy. cn

7. Children’s clothing
https://www.3e3e. cn

8. Small batch / wholesale products
https://www.dhgate. com

9. Electronics & gadgets
https://www.globalsources. com

10. Fashion (affordable clothing & accessories)
https://www.zaful. com

[Roan @RohOnChain]

This 2 hour Stanford lecture on AI careers will teach you more about winning in the AI race than every piece of AI content you have scrolled past this year.

Bookmark this & give it 2 hours, no matter what. It'll be the most productive thing you could do this weekend.

[Om Patel @om_patel5]

THIS GUY BUILT A VIDEO SEARCH ENGINE THAT RUNS 100% ON YOUR MACHINE

no API, no cloud, no transcription. fully local.

you type what you're looking for and it finds the exact timestamp in your videos.

"person walking a dog near a lake" and it pulls up the exact clip AND goes to the exact time where it happens

it uses Qwen3-VL embeddings running locally and the AI actually watches and understands your videos frame by frame

no data ever leaves your computer

[Hridoy Reh @hridoyreh]

📂 SaaS Stack
┃
┣ 📂 Frontend
┃ ┣ 📂 React
┃ ┣ 📂 NextJS
┃ ┣ 📂 Vue
┃ ┣ 📂 TailwindCSS
┃ ┗ 📂 Shadcn UI
┃
┣ 📂 Backend
┃ ┣ 📂 NodeJS
┃ ┣ 📂 Django
┃ ┣ 📂 Laravel
┃ ┣ 📂 FastAPI
┃ ┗ 📂 Express
┃
┣ 📂 Database
┃ ┣ 📂 PostgreSQL
┃ ┣ 📂 MySQL
┃ ┣ 📂 MongoDB
┃ ┣ 📂 Redis
┃ ┗ 📂 Supabase
┃
┣ 📂 Auth
┃ ┣ 📂 Clerk
┃ ┣ 📂 Auth0
┃ ┣ 📂 Firebase Auth
┃ ┣ 📂 Supabase Auth
┃ ┗ 📂 NextAuth
┃
┣ 📂 Payments
┃ ┣ 📂 Stripe
┃ ┣ 📂 Paddle
┃ ┣ 📂 Dodo Payments
┃ ┣ 📂 Lemon Squeezy
┃ ┗ 📂 Polar
┃
┣ 📂 Emails
┃ ┣ 📂 Resend
┃ ┣ 📂 SendGrid
┃ ┣ 📂 Mailgun
┃ ┣ 📂 Postmark
┃ ┗ 📂 Amazon SES
┃
┣ 📂 Storage
┃ ┣ 📂 AWS
┃ ┣ 📂 Cloudflare
┃ ┣ 📂 Google Cloud Storage
┃ ┣ 📂 Supabase Storage
┃ ┗ 📂 Uploadcare
┃
┣ 📂 Deployment
┃ ┣ 📂 Vercel
┃ ┣ 📂 Netlify
┃ ┣ 📂 Railway
┃ ┣ 📂 Render
┃ ┗ 📂 AWS
┃
┣ 📂 Domains and DNS
┃ ┣ 📂 Namecheap
┃ ┣ 📂 Hostinger
┃ ┣ 📂 Cloudflare DNS
┃ ┣ 📂 Google Domains
┃ ┗ 📂 SiteGround
┃
┣ 📂 Analytics
┃ ┣ 📂 Google Analytics
┃ ┣ 📂 Plausible
┃ ┣ 📂 PostHog
┃ ┣ 📂 Mixpanel
┃ ┗ 📂 DataFast
┃
┣ 📂 Monitoring
┃ ┣ 📂 Sentry
┃ ┣ 📂 LogRocket
┃ ┣ 📂 Datadog
┃ ┣ 📂 NewRelic
┃ ┗ 📂 UptimeRobot
┃
┣ 📂 DevOps
┃ ┣ 📂 Docker
┃ ┣ 📂 Kubernetes
┃ ┣ 📂 GitHub Actions
┃ ┣ 📂 CI CD
┃ ┗ 📂 Terraform
┃
┣ 📂 Search
┃ ┣ 📂 Algolia
┃ ┣ 📂 Meilisearch
┃ ┣ 📂 Elasticsearch
┃ ┣ 📂 Typesense
┃ ┗ 📂 OpenSearch
┃
┣ 📂 AI Integration
┃ ┣ 📂 OpenAI API
┃ ┣ 📂 Anthropic API
┃ ┣ 📂 Replicate
┃ ┣ 📂 HuggingFace
┃ ┗ 📂 Gemini API
┃
┣ 📂 Integrations
┃ ┣ 📂 Zapier
┃ ┣ 📂 Make
┃ ┣ 📂 n8n
┃ ┣ 📂 Pabbly
┃ ┗ 📂 Webhooks
┃
┣ 📂 Security
┃ ┣ 📂 SSL
┃ ┣ 📂 Cloudflare
┃ ┣ 📂 WAF
┃ ┣ 📂 Rate Limiting
┃ ┗ 📂 Secrets Management
┃
┣ 📂 Marketing
┃ ┣ 📂 Search Console
┃ ┣ 📂 Outrank
┃ ┣ 📂 Buffer
┃ ┣ 📂 Analytics
┃ ┗ 📂 Kit
┃
┗ 📂 Customer Support
┣ 📂 Intercom
┣ 📂 Crisp
┣ 📂 Zendesk
┣ 📂 Tawk
┗ 📂 HelpScout