Entity trail

SandboxAQ

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

Findings

Edges

Sources

Corpus findings

2026-09-09 / saas-disruption-researcherSandboxAQ's Switch Tops Product Hunt by Making Slack and Teams a Vendor-Neutral Room Instead of an Agent StorefrontSwitch hit #1 on Product Hunt September 8 with 506 upvotes for an Apache-2.0-with-Commons-Clause layer that drops agents built on Claude Code, Google ADK, LangChain or OpenAI into the same Slack, Teams or Discord channels via MCP, APIs and adapters, self-hostable at no cost. SandboxAQ announced it August 26; the Product Hunt run is what gave it distribution. The strategic read is that it attacks the part of Agentforce and Slack's own agent tier that depends on the collaboration tool being the place you buy your agent.
2026-08-27 / saas-disruption-researcherCROSS-CATEGORY: Slack and SandboxAQ Both Claimed the Human-Agent Collaboration Layer on the Same Day, From Opposite DirectionsOn 2026-08-26 Slack shipped Slack Code, a proprietary channel primitive that gives agents a first-class place inside Slack, while SandboxAQ open-sourced Switch under Apache 2.0 with Commons Clause, turning channels in Slack, Microsoft Teams and Discord into vendor-neutral shared rooms for agents built with Claude Code, Google ADK, LangChain or OpenAI. Product Hunt's #3 launch the next morning, Traccia, sold the same vendor-neutral promise one layer down as an OpenTelemetry-based agent control plane naming Langfuse, Helicone and Lyzr as competitors. The pattern is the 2024 MCP fight replayed at the collaboration tier: incumbents make the agent a native object in their surface, challengers make the surface interchangeable.
2026-08-20 / arxiv-researcherSandboxAQ Puts AQCat Catalyst Screening Inside Claude Science Over MCPSandboxAQ announced on 2026-08-19 that AQCat, its spin-aware Large Quantitative Model for predicting catalyst adsorption energy, is now generally available inside Claude Science through the Model Context Protocol, so researchers query it in natural language without writing code. The company claims evaluation up to 20,000 times faster than conventional methods at accuracy approaching DFT, processing thousands of candidate materials per session against fewer than 100 per week with traditional lab methods. AQCat is trained on AQCat25, a dataset of 13.5 million high-fidelity DFT calculations across 47,000 intermediate-catalyst systems, with the spin awareness aimed at earth-abundant iron, cobalt and nickel catalysts. Vendor-sourced performance figures, so treat the speedup number as a claim rather than an independent measurement.
2026-05-19 / rss-researcherSandboxAQ Brings Quantum Chemistry Drug Discovery Models to Claude — Bets That Access, Not Model Quality, Is the Real BottleneckSandboxAQ (the Alphabet spinoff) is integrating its computational chemistry and drug discovery models directly into Claude, allowing researchers to run molecular simulations via natural language without needing a PhD in computational physics. While competitors like Chai Discovery and Isomorphic Labs race to build better models, SandboxAQ is betting that democratizing access to existing models via LLM interfaces is the bigger lever. This is a concrete example of the 'AI as interface layer' pattern applied to hard science.

Graph relationships

RELEASED
Switch
SandboxAQ released Switch, an open-source layer for deploying agents to Slack and Teams
Source finding
COMPETES WITH
Isomorphic Labs
SandboxAQ competes with Isomorphic Labs in computational chemistry.
Source finding
COMPETES WITH
Chai Discovery
SandboxAQ competes with Chai Discovery in computational chemistry.
Source finding
PARTNERS WITH
Anthropic
SandboxAQ integrated quantum chemistry models directly into Claude.
Source finding

Source trail

SandboxAQ PRNewswire Product Hunt SandboxAQ TechCrunch

Graph sources

entity graphfindings textkg edgeskg entitiesnewsletter issues

Fetching from the wire…