Revalvo
Product Hunt 1 month ago 23
Revalvo launched a local-first workbench for prompt engineering and LLM evaluation that runs prompts across models and scores responses with built-in evaluators.
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Product Hunt 1 month ago 23
Revalvo launched a local-first workbench for prompt engineering and LLM evaluation that runs prompts across models and scores responses with built-in evaluators.
MarkTechPost 1 month ago 15
E2B, Daytona, Modal Sandboxes, Cloudflare Sandbox SDK, and Vercel Sandbox were compared across cold starts, per-second pricing, filesystem persistence, and egress policy to make their agent-sandbox units measurable. The August 21, 2026 benchmark run reported median time-to-interactive values ranging from 0.67s (Vercel Sandbox) to 5.06s (Cloudflare Sandbox) with differing success rates and burst conditions. The result is a practical testing and costing framework (TTI/task checkpoints plus normalized rate-card calculations) that changes provider selection based on concurrency capacity, idle billing, persistence defaults, and how network rules are applied.
Google 1 month ago 49 ● 3 sources
Google introduced Gemini Omni 1.1 Flash, a developer-focused generative video suite with studio-quality controls such as scene extension, frame targeting, faster 360p drafting, and 4K upscaling via the Gemini API. Scene extension can use up to 10 seconds of prior context and extend in 10-second increments for up to 40 seconds total cumulative length. Developers can produce longer, more consistent and smoother videos with quicker iteration and lower-cost previews before generating higher-resolution outputs.
Product Hunt 1 month ago 45
ThunderPhone launched a self-serve platform for building AI phone agents. Pricing starts at 2¢/min and its Storm tier with extra-intelligence option scored 99.4% on Big Bench Audio. Users can build agents, test them via AI-caller simulations, monitor live calls, and get auto-detected issues with proposed fixes.
SiliconANGLE 1 month ago 36
Harness Inc. launched Agent-Ready Harness Code Repository and AI Code Review to help teams manage and approve code produced by AI coding agents without breaking their software delivery lifecycle. The company estimated teams saved 10,000 hours over the last month using the capabilities internally. The workflow shifts from human-written pull requests reviewed over hours or days to agent-scale, automated repository, review, and governance where AI checks reject changes that fail before merge.
Product Hunt 1 month ago 48
OpenTag was launched as an AI coworker that integrates into team collaboration tools and can act using company context. The page lists 24 followers. As a result, teams are pitched to offload tasks and get an assistant that performs work rather than only providing suggestions.
Product Hunt 1 month ago 4
Publicdesktop.lol promoted a marketplace item on the site’s public computer icon space and also offered a bid to control a public song. The listing highlights a permanent $10 icon location. It changes availability by letting users pay or bid to take over those public slots.
OpenAI 1 month ago 10
OpenAI is expanding its presence in Brazil by deepening its engagement with developers, businesses, and communities. The article gives no specific date or number for the expansion. As a result, its local outreach is meant to support wider AI adoption across the country.
Product Hunt 1 month ago 50
Databox launched “Routines by Databox” to automate scheduled AI analysis and reporting for teams. The release is Databox’s 9th launch. The change removes recurring manual work by delivering scheduled reports via email, Slack, or in-app.
Product Hunt 1 month ago 47
Spline launched Spline V2, a rebuilt 3D editor with features like an AI Agent Mode and Spline MCP. It was launched as the 11th Spline release. The update adds a new UI, a faster WebGPU engine, and expanded workflows such as PBR/HDR and custom code/scripting.
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Microsoft used today’s announcement to zoom in on what matters in scaling: not just raw capability, but the plumbing behind it. The company revealed MAI-Base-2, a 2T-parameter base model designed to be converted into full LLMs with additional training. Per Microsoft, only 80B parameters activate per prompt, and the training run ate 50T tokens over 38 days using 16,000 Nvidia GB200 GPUs. The headline claim: MAI-Base-2 is up to 12× more hardware-efficient than its predecessors, a metric that will matter to anyone trying to keep inference costs from swallowing margin.
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