Starting today, Gumloop has a simple, transparent pricing model.... Tokens and compute passed through at cost, plus a simple orchestration fee. Every user should know exactly what they're paying for per task automated.show more

Want instant access to Planet high resolution satellite imagery?... Planet Select provides a direct way to request new SkySat captures or download archive imagery through a single platform. Powered by SkyFi®, the platform offers fast ordering, transparent pricing, and a simple process for users that rely on satellite data for monitoring, verification, and field planning. Get started today atshow more

PAYING PER MODEL IS THE DUMBEST THING IN TECH... RIGHT NOW i was paying 3x what i needed to for AI inference the grid lets you buy a quality spec instead of a specific model.. it routes every request in real time to the cheapest option that qualifies swap one url and your code keeps working exactly the same openai-compatible, one line to switch, 200M free tokens to startshow more

The biggest lesson from YC: fundraising isn't about finding... investors. It's about building something so good they find you. Real networks aren't made at cocktail parties. Max sat down with EO Global to share how Gumloop got here.show more

🇨🇳Chinese civilian drone company FLYControl recently develops a short-range,... low cost “Baby Shahed” Drone. The drone costs around $3000 RMB per unit, has a 20-30km range, flies at 200km/h, launched by hand or simple launch racks. Chinese Production+Cost = GGs for Enemies.show more

PEOPLE ARE BURNING THROUGH THEIR TOKENS IN 30 MINUTES... AND BLAMING CLAUDE The problem isn’t with the model. The problem is how they’re using it A simple formatting question they set Max effort The 40th message in the chat the model re-reads the entire history from the beginning Every single time. Using your tokens Low effort costs 10 times less than Max Just get into the habit of routing tasks by level and your limit won’t run out by noon Tokens don’t disappear. You’re just paying for unnecessary processingshow more

Update: I’ve now pushed over 5 BILLION tokens through... DeepSeek V4.1 Flash. I still haven’t had to reach for Astra or Fable because DeepSeek couldn’t handle a task. I’m using Hermes with three API keys across Command Code, ollama, and OpenCode. Super simple setup, and together they give me a ridiculous amount of usage. Cost: $40/month. A week ago I was spending $300/month and constantly thinking about limits. Now I’m throwing billions of tokens at coding agents without thinking twice. At this point, DeepSeek isn’t my fallback. It’s my default.show more

Thumbnail testers are either full of features nobody uses,... or paywalled for something that should be simple. I'm a big believer that simple solutions should be free. So I built one. And I'm giving it away. It's the same tool I run every client thumbnail through before delivery.show more

Most AI agent setups treat every message the same.... Simple question? top-tier model. complex task? top-tier model. Your token bill just keeps climbing. I tested OpenSquilla this week on a real document drafting workflow, and the routing caught me off guard. It judges each message's complexity locally, then picks the model tier that fits. Simple tasks go to cheaper models. Complex ones still get the heavy lifting done. You're not paying reasoning tokens for a "hello." I ran a longer workflow, and the context didn't collapse the way it usually does. It distills important information before compression, so you're not starting from scratch mid-session. If you run agents regularly, the bill adds up faster than you think. This is built specifically for that problem. They're running the 10M Token Bill Challenge right now. worth joining if you want to see what smart routing actually saves you in practice. #10MTokenChallenge OpenSquillashow more

A quick cost per task comparison of Kimi K3... Kimi.ai and GPT-5.6 Sol by OpenAI. At 3.2x cheaper, Kimi K3's model outputs web apps not just on par for design quality, but better across certain domains. Kimi K3 establishes a new design SOTA and Pareto frontier for cost for design tasks.show more

Eliza Town Demo Shaw Walters This is what autonomous... agent orchestration looks like. Submit a task and watch your agents come to life. They walk to their workshops, pick up assignments, and start working. No static dashboards. No terminal logs. You actually see them move through the town and collaborate. In this demo we gave them a simple task: build a website. Agents walk to their hubs, break down the work, and start building. When they need to talk, they meet up and share context. Speech bubbles show you exactly what they’re thinking and saying to each other.show more

Monitor and control your AI spend on every provider... on Our early users save 40% on average. Every week, the price-intelligence-latency frontier shifts, and we expect this trend to continue. Tradeoffs between latency, reasoning, cost, service tier, open source and closed source models are shifting constantly. Router sends every request to the model that's actually best for the task and helps you control what tokens you buy. We benchmark it against real work: ~40% lower cost for the same outputs. Today we're opening it to everyone. Two lines of code or just change your base URL. No Ramp account needed. Free through 2026, first $26 on us. Get an API key today atshow more

! EMERGANCY COMS ! Opening up 1 slot for... a simple model rig; - Basic Movement - Low Head and Body angles - Full Face Rigging (no vbridger) - Basic Physics - 3 Face Expressions - Toggles can be discussed Starting at $1000-$1500 depending on model complexity Please DM for more infoshow more

HydraFusion Explained. Part I: How does the Copilot engine... know what to optimize for? Your prompt is evaluated across 4 dimensions: ➡ Does it require deep reasoning? (aka. reasoning depth) ➡ Is it a sophisticated problem? (aka. code generation complexity) ➡ Is it untangling a complicated mess? (aka. debugging difficulty) ➡ Is it dominated by tool-use? (aka. tool orchestration needs) Based on this evaluation, a HyDRA score is assigned to determine the capability profile your task needs the most and to establish a quality bar. Part II: How does it choose a model? Note: It doesn' t pick one model to handle the entire job e2e, (that's Auto mode). Instead, it selects 1 of 3 execution workflows and assigns the best model at different stages based on the HyDRA score: 1️⃣ Single ⚙️ How it works: A single model completes the task from start to finish. ⚖️ Rationale: The task comfortably meets the quality bar with one model. Multi-model orchestration would add latency and cost with no meaningful quality gain. 2️⃣ Cascade ⚙️ How it works: A lightweight, cost-efficient model generates the solution. This draft is evaluated against a quality gate and if it falls short of the quality bar, the entire task escalates to a stronger, frontier model. ⚖️ Rationale: Only bring in the big guns when there is concrete evidence that a lightweight model won't meet the quality threshold. 3️⃣ Critique ⚙️ How it works: A lightweight model drafts the initial code and tool interactions. An independent, read-only frontier model reviews that draft and provides feedback. The original lightweight model then performs any targeted revision(s) before the final response is sent to the user. ⚖️ Rationale: Writing code (output tokens) is expensive while reviewing code (input tokens) is cheap. Instead of incurring the cost of a powerhouse writing hundreds of lines from scratch, a cost-efficient model writes the first draft, and the frontier model just reviews it and points out fixes. HydraFusion is available in experimental preview on the GitHub Copilot CLI: /experimental on, /model and select Hydrafusion (Research Preview)show more

This is why robots haven't replaced humans in brake... line fabrication: - Every vehicle model has unique routing through cluttered underbodies; a skilled worker reads the geometry and adjusts in real time - Per-SKU volumes are low, so setup/programming costs never pay back - The manual jig is low cost; the human brings the compute, sensing, and adaptability for free When variance is high and tooling is cheap, people are still the best option. What would it take to automate this?show more

For the Godot Shaders Bible, we’re taking a different... approach: starting with simple shaders and learning as we go. Topics will include: - Profiling and optimization. - Compute shaders. - Particle systems. - Ray marching. - Maths (quaternions, matrices, etc.) - VFX. Everything will be presented in a linear, step-by-step way, just as always! Subscribe today! 👉 #GODOT #GodotEngine #IndieDevs #indiegameshow more

$0.04 per 1M input tokens 128K context #1 on... the Decision Index sub-second decisions Drex is looking less like “another small model” and more like an actual decision layer for agents and LLMs especially if you don’t want to burn a huge model’s tokens just deciding what should happen nextshow more

A peanut-sized Chinese model just dethroned Gemini at reading... documents. GLM-OCR is a 0.9B parameter vision-language model. It scores 94.62 on OmniDocBench V1.5, ranking #1 overall. For context, it outperforms models 100x its size. 100% open-source. It works in two stages. 1. A layout engine detects every region in a document. 2. Each region gets read in parallel. The model predicts multiple tokens per step instead of one. That's what makes it so fast at small size. It handles things most OCR tools struggle with: > Complex tables and nested layouts > Handwritten text and stamps > Math formulas and code blocks > Mixed image-and-text documents You can run it locally through Ollama. It fits on edge devices with limited compute. Every expensive OCR API just got a free competitor.show more

A peanut-sized Chinese model just dethroned Gemini at reading... documents. GLM-OCR is a 0.9B parameter vision-language model. It scores 94.62 on OmniDocBench V1.5, ranking #1 overall. For context, it outperforms models 100x its size. 100% open-source. It works in two stages. 1. A layout engine detects every region in a document. 2. Each region gets read in parallel. The model predicts multiple tokens per step instead of one. That's what makes it so fast at small size. It handles things most OCR tools struggle with: > Complex tables and nested layouts > Handwritten text and stamps > Math formulas and code blocks > Mixed image-and-text documents You can run it locally through Ollama. It fits on edge devices with limited compute. Every expensive OCR API just got a free competitor.show more

It's a simple task for modern PC's, but sometimes... I still notice just how many things are happening all at once and fear it would lag 😅 This effect has 7 different types of particles alone! #ScreenshotSaturday #vfx #pixelart #gamedevshow more