techyd

[Aaron Levie @levie]

Pretty cool that we clearly have an emerging form factor for what AI might look like for the foreseeable future as autonomous systems dedicated to specific tasks or domains.

This is a huge leap past the LLM wrapper days because the new expectation is that you can finally farm out more sophisticated work to the agent to tackle for you. And you can reliably trust that work can get accomplished properly (still with a human in the loop) because of far better tool and computer use, and the general intelligence of the models improving.

1) The tool and computer use capability increases in the models mean that you can provide the agent with far more granular access to external data systems and other software to operate. This means, in effect, the agent begins to execute workflows similar to how a person would have in that same function. And where there isn’t existing software, the agent just builds it itself. This is a huge unlock.

2) Next, the actual capability of the models are improving in just about every vertical domain. The models can make far better judgment calls in legal, do deeper bio research, scan for security issues in code, understand supply chain processes, and more. Obviously in many of these spaces then models still have worse intuition than people, but that will only get better.

3) Finally, the harnesses and surrounding infra — sandboxes, file systems, data pipelines, etc. — allows for longer running agents, agents to be able to work on arbitrarily complex or long tasks, process data at enormous scale, and more. Few of these components worked well for AI even a year ago, but we now have many of the core primitives necessary for more autonomous systems.

When combined with the right UX, implementation, and change management for the human oversight and coordination, it’s clear that these autonomous systems will become quite powerful in a wide variety of enterprise workflows.

We’re starting to see them in IT automation, cyber operations, drug discovery, manufacturing, AI research, and more spaces. You can almost imagine one or more of these systems for every role in the economy. Quite a bit of opportunity ahead.

[nicksaraev @nicksaraev]

Excellent example of a straightforward gap in the market.

You can rinse and repeat this sort of thing in every niche, for every vertical, and make quick money. Big business or small.

[Higgsfield AI 🧩 @higgsfield_ai]

Wan 3.0 drops into alpine freeriding.

You can almost feel the landings in this skiing gameplay concept made with Higgsfield.

[Don Coderlione @doncoderlione]

Claude Code ile 3D oyun yapmak istiyorsan burada hazine var

GitHub’da bedavaya duran 10 repo var. Bunlar işini ciddi şekilde kısaltıyor:

Gamedev Agent Skills: ajanına 74 oyun geliştirme becerisi yüklüyor, router hangi motorda çalıştığını kendi anlayıp ilgili beceriyi açıyor. Godot, Unity, Unreal, Phaser, PixiJS, three.js, Bevy, pygame, LÖVE, Roblox. Claude Code, Cursor, Codex, Copilot, Gemini CLI’da çalışıyor
https://t.co/UX9EEe9P9E

MCP Unity: ajanı doğrudan Unity Editor’e bağlıyor. Sahne kur, nesne değiştir, materyal ata, test koştur, konsol hatasını oku. Hepsi prompt ile
https://t.co/4Kv37ZLQ0Z

Godot MCP: aynısının Godot tarafı. Sahne oluşturma, node ekleme, projeyi çalıştırma, debug çıktısını okuma
https://t.co/FgjPhofgno

TripoSR: tek görselden 3D model. Prop prototiplemek için, nihai asset için değil
https://t.co/ci9Obqbchu

Drei: React Three Fiber’ın hazır parçaları. Kamera kontrolü, ortam, gökyüzü, gölge, model yükleme
https://t.co/kYMZnW54LA

React Three Rapier: fizik motorunu kendin yazmadan rigid body, çarpışma, eklem
https://t.co/KeyzdIaiEj

Yuka: NPC davranışı. Yön bulma, yol bulma, algı, durum makinesi
https://t.co/Wfl8tjeYcu

Three.quarks: three.js için partikül. Kıvılcım, duman, sihirli iz. Görsel editörü de var
https://t.co/sgfSlTgo6N

React Postprocessing: sahneye bloom, alan derinliği, grain, vignette. Oyunun “ucuz” görünmesini bitiren katman
https://t.co/UBySQ4SM1l

Colyseus: çok oyunculu. Oda, eşleştirme, yeniden bağlanma, sunucu ile oyuncu arasında otomatik durum senkronu
https://t.co/qv2TdnPF7P

[Max @maxt3chno]

No 3D skills? Just let AI do it in 3 steps

1 - grab a free animation from Sketchfab
2 - generate a custom mesh on Meshy or Tripo
3 - ask Opus / Astra / Argon to swap the meshes

sounds EASY, right? but in reality, it's a TRAP

- mismatched proportions + hands are a nightmare: fix one spiking finger, and another one explodes 3 frames later

- endless iterations: LLMs are blind to cursed geometry, a finger can be bent completely backwards and the AI counts it as "fixed." you have to babysit every single iteration

the final result is passable, but it drained hours of my life and is still far from clean

any recommendations?

[Tanzil Chowdhury @iamtanzil_]

10 places I’d open before asking AI to design anything.

Bookmark this before your next project. 🔖

1. https://t.co/CgnzwKME3r: 1,300+ design prompts, including source code to build beautiful websites using AI in minutes.
2. https://t.co/qOIzaPrb2V: the sites currently winning on design
3. https://t.co/wwQMq3hOzC: hand-picked sites with real craft
4. https://t.co/d5EKWv4jOV: UI motion done right
5. https://t.co/H3YmQX68Ph: community components you can copy
6. https://t.co/RhoC6OX8eH: animated components with big visual impact
7. https://t.co/heZ00fkLry: animated components for landing pages
8. https://t.co/eBiHWarZL3: the engine behind most 3D on the web
9. https://t.co/dnkrZrlWjA: shader experiments that look unreal
10. https://t.co/Xo7ZU8P5tA: 2,600+ examples of how top design systems solve the same element.

[wannercashcow @wannercashcow]

GTA 6 is about to create more faceless YouTube millionaires than crypto ever did.

Most people will miss the window. Here’s the play:

STEP 1 — Pick ONE faceless sub-niche. Trailer breakdowns. Map analysis. Lore deep-dives. AI voiceover gameplay, GTA6 Gameplay To Fall Asleep Too. You cannot do all of them. The people who go deep on one for 6 months own launch week.

STEP 2 — Start posting GTA 6 content today. You do not need the game. Trailer reactions. Leak breakdowns. Economy speculation. The audience is what monetizes at launch — the game just turns the faucet on.

STEP 3 — Study the 2013 blueprint. Faceless GTA 5 channels that posted in the first 90 days are still pulling 6 figures a year. 12 years of evergreen views. One channel, set up right, becomes a decade-long asset.

STEP 4 — Build for the algorithm at launch. Volume wins. Mission guides. Easter eggs. Map secrets. Stat comparisons. All scriptable. All AI voiceover-able. One person with the right system outputs what used to take a 5-person studio.

STEP 5 — Use AI to move like a team. Script writing. Voice cloning. Thumbnail generation. Faceless YouTube in 2026 is not a content game — it’s a systems game. Whoever has the better stack wins.

STEP 6 — Position before the wave. The trailer drops. The hype peaks. The launch hits. Anyone scrambling to start a channel that week already lost. The channels that win launch week were built 6 months earlier.

STEP 7 — Stop trying to figure this out alone. Every launch window I’ve watched in 6 years, the same thing happens: people pick the wrong niche, waste 90 days, and quit one upload before it would’ve hit. I’ve built faceless channels through every major content wave since 2019 and coached 1,000+ students through the exact playbook. Inside the program you get the niche pick, the script frameworks, the AI stack, and direct feedback on your channel before GTA 6 drops. The people who win launch week start now. DM me “GTA” for the details.

Faceless YouTube is the lowest-risk business of 2026.

GTA 6 is the biggest catalyst we’ve had in a decade.

Be in position before the wave hits.

Bookmark this.

[Brendan Jowett @jowettbrendan]

GitHub is a GOLDMINE for AI game developers.

I picked 10 powerful open-source repos that make building 3D games with Claude Code and Codex ridiculously easier.

Save these before your next project:

1. Gamedev Agent Skills

Give Claude Code and Codex reusable game-development skills for engines including Godot, Unity, Unreal, and Three.js.

https://t.co/WudWTsajr7

2. MCP Unity

Connect your coding agent to Unity. Create scenes, modify objects, assign materials, run tests, and read console errors through prompts.

https://t.co/cosCfK56AY

3. Godot MCP

Let your AI assistant create scenes, add nodes, run Godot projects, and inspect debug output while building your game.

https://t.co/qXwHTtguqL

4. TripoSR

Turn a single image into a 3D model. Useful for prototyping props and exploring assets before refining them for your game.

https://t.co/E9dR1g43n2

5. Drei

Ready-made helpers for React Three Fiber: camera controls, environments, skies, shadows, and model loading for browser-based 3D games.

https://t.co/eDpvF3mZUm

6. React Three Rapier

Add physics to React Three Fiber games, including rigid bodies, collision detection, and joints, without writing a physics engine yourself.

https://t.co/gkYgrb3cC5

7. Yuka

Build NPC behavior with steering, pathfinding, perception, and state-driven decisions. Give your characters more to do than stand around.

https://t.co/YCw5RHiFiQ

8. Three.quarks

Build particle effects for Three.js games, from sparks and smoke to magical trails. Includes a visual editor for designing effects.

https://t.co/ycVaphWBB4

9. React Postprocessing

Give React Three Fiber scenes a visual upgrade with bloom, depth of field, noise, and vignette effects.

https://t.co/DFjsI0swlP

10. Colyseus

Build multiplayer features with rooms, matchmaking, reconnections, and automatic game-state synchronization between your server and players.

https://t.co/UlH13ZuIQJ

Which one are you using in your next game?

[Simba @SimbasJungles]

Eu modelei meu Airbnb inteiro com Opus 5.5

Enviei algumas fotos base e a planta 2D, somado com algumas referências do Pinterest, e pedi pra criar um mundo 3D usando Blender e Unreal Engine 5.

[TERMINAL WAR @TerminalWarGame]

" So what's the gameplay loop? "

[ILIAS ISM @illyism]

I used @ahrefs to reverse-engineer how @GammaApp grew to 3.7M monthly organic visits 👇

1. Localized homepages (/es, /ru, /pt-br, /id)
Translating the core landing page into 4 languages brings ~500,000 visits/mo with almost zero competition compared to US SERPs.

2. User-generated public docs (accidental parasite SEO)
Every public presentation hosted on /docs/ is indexable. So smart SEOs build these pages and build links to them for free. Not the best strategy but I'll take it.

3. Template pages for high-intent jobs
Instead of generic blog posts, they rank for the exact deliverable ("pitch deck template", "sales presentation").

How to find these hidden wins on any competitor in Ahrefs:
1. Site Explorer → enter domain
2. Go to "Top Pages"
3. Filter URL by subfolder (/docs/, /templates/, /es/) or set Status → "New" (Last 3 months)
4. Sort by Traffic

Takes 2 minutes and shows you the exact pages printing their traffic

[ILIAS ISM @illyism]

530 people asked for the system prompt I use to run SEO + AEO inside Claude Code and Cursor.

Instead of gatekeeping it in DMs, I just open-sourced the entire repo:

- Audits your codebase for technical SEO & broken metadata
- Reverse-engineers top 10 SERP titles & structure
- Writes comparison pages with real information gain
- Checks what ChatGPT and Perplexity cite for your niche

No $2,000/mo agency required.

Repo: https://t.co/7ZOsGjdJY0

[Ian @keywordian]

Another example of a new site getting lots of traffic:

AllStateParks .com is a state park directory launched in January 2026, and already gets over 100K visits/mo.

It ranks for tons of state park keywords. Top keywords: https://t.co/jOjUYJsfcH

Directories are alive and well!

[Hridoy Reh @hridoyreh]

I achieved 34+ backlinks for my site.

You can build links for your startup, too.

10 places to get backlinks (v5):