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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.

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Gumloop

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64,047 просмотров • 20 дней назад •via X (Twitter)

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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 at

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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 start

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1/ With the fastest growing user base for tokenized US Treasuries, Ondo is showing what RWAs can look like in a high-velocity ecosystem such as Solana. Available to use almost anywhere on Solana, Ondo's US Treasuries tokens, and their yield, are quite simple. They're the RWAs you can use.
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1/ With the fastest growing user base for tokenized US Treasuries, Ondo is showing what RWAs can look like in a high-velocity ecosystem such as Solana. Available to use almost anywhere on Solana, Ondo's US Treasuries tokens, and their yield, are quite simple. They're the RWAs you can use.

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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 processing

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🇨🇳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.

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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.
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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.

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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.

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Eliza Town Demo Shaw (spirit/acc) 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.

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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.

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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 at

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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?

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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 #indiegame

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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.
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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.

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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.
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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.

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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 #gamedev
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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 #gamedev

Divinum | Coming August 28

17,443 просмотров • 1 месяц назад

NVIDIA just made paying for AI feel optional. Open model, a million tokens of context, free tier with no per-token cost, runs on your own hardware. Entire codebases, whole data rooms, a year of chat logs, all swallowed in one prompt. No chunking, no RAG, no rate limit theater. The closed-AI premium has 90 days to defend itself. Bookmark this and come back. Open beat closed. Again.
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NVIDIA just made paying for AI feel optional. Open model, a million tokens of context, free tier with no per-token cost, runs on your own hardware. Entire codebases, whole data rooms, a year of chat logs, all swallowed in one prompt. No chunking, no RAG, no rate limit theater. The closed-AI premium has 90 days to defend itself. Bookmark this and come back. Open beat closed. Again.

shmidt

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Every AI tool wants its own subscription. We built ours around a token you already hold. Stake once and it earns Sorin credits at 1 per $SAHARA every month, on top of the 3,500 every user gets free. The same stake earns Sahara compute credits next, spendable inside ClawApp or straight through our API. Every product we add plugs into that stake, and there is never anything to restake. And you keep the SAHARA the whole time. Unstake whenever you want and you walk away with everything you came in with. Own your compute.
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Every AI tool wants its own subscription. We built ours around a token you already hold. Stake once and it earns Sorin credits at 1 per $SAHARA every month, on top of the 3,500 every user gets free. The same stake earns Sahara compute credits next, spendable inside ClawApp or straight through our API. Every product we add plugs into that stake, and there is never anything to restake. And you keep the SAHARA the whole time. Unstake whenever you want and you walk away with everything you came in with. Own your compute.

Sahara AI 🔆

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$200 to $20. That's how your AI costs will change if you switch from Claude Code Max to the MiniMax (official) Token Plan Plus in Kilo. MiniMax's latest model, M3, performs at 79% of Sonnet 5's level for a tenth of the price, and the plan gets you 1.7B tokens per month through Kilo. See how much you'd save with model freedom:
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$200 to $20. That's how your AI costs will change if you switch from Claude Code Max to the MiniMax (official) Token Plan Plus in Kilo. MiniMax's latest model, M3, performs at 79% of Sonnet 5's level for a tenth of the price, and the plan gets you 1.7B tokens per month through Kilo. See how much you'd save with model freedom:

Kilo

25,441 просмотров • 1 месяц назад

0.7.5 is out! herdr is getting used more and more for multi-agent orchestration, so this release ships a native agent cli built exactly for that. more in below 👇 but first, the new agent sidebar: deeper customization with per-token colors, bold and dim, plus full filtering and sorting any way you want. from config, scripts, or plugins, all through the api!
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0.7.5 is out! herdr is getting used more and more for multi-agent orchestration, so this release ships a native agent cli built exactly for that. more in below 👇 but first, the new agent sidebar: deeper customization with per-token colors, bold and dim, plus full filtering and sorting any way you want. from config, scripts, or plugins, all through the api!

herdr

111,731 просмотров • 1 месяц назад