01 · Bring it in
Import from almost anywhere.
Paste text, drop in files, ingest folders, preview article URLs, or connect RSS and monitored sources. The app is designed for messy real-world inputs, not pristine demo data.
Mac intelligence studio · local-first scenario analysis
See the signalbefore it hardens.
ReactionLab is a premium macOS workspace for analysts, strategists, and operators who need to turn documents, feeds, and live sources into decision-ready scenarios. It ingests the noise, surfaces what matters, and helps you brief the next move with confidence.
Native SwiftUI app
FastAPI local backend
Keychain-backed secrets
Markdown / JSON / PDF export
No Docker, no Neo4j daemon
ReactionLab workspace
Ingest
Files, feeds, URLs
Start from a folder, a document, or a live source bundle and keep everything in one workspace.
Analyze
Signals, sentiment, graph
Rank what matters, attach local sentiment, and extract a lightweight graph from the source.
Brief
Export ready reports
Package the result as Markdown, JSON, or PDF for a client or internal decision loop.
What it does
A full scenario workflow, not just a dashboard.
ReactionLab is built to move from raw material to structured judgment in a single place. It does not stop at ingestion or stop at charts. It keeps the evidence attached to the reasoning all the way through to the briefing.
02 · Shape the frame
Use workspace modes that match the job.
General, Security, Market Intel, Public Affairs, Reputation, Due Diligence, and Competitive Intel all share one engine but adapt the tone, cadence, and assessment model.
03 · Follow the signal
Rank, boost, pin, and suppress with rules.
ReactionLab keeps the feed focused. Watchlist-aware scoring, persistent monitor rules, and reusable templates help the important items rise above the noise.
04 · Go deeper
Add local sentiment and graph context.
The backend can enrich items with aspect-level sentiment, extract a lightweight graph, and surface the communities and relationships hiding inside the source material.
05 · Simulate the next move
Run a structured scenario pass.
ReactionLab turns context into possible futures. You can explore market, policy, brand, or custom simulations and inspect the resulting personas, timeline, and report sections.
06 · Package the result
Export a briefing that is easy to share.
When the work is done, you can export the output as Markdown, JSON, or PDF. That makes it easy to hand off a clean summary without losing the evidence behind it.
Workspace modes
One studio, many strategic lenses.
ReactionLab adapts to the problem you are trying to solve instead of forcing every project into the same template. That makes the product feel more disciplined for analysts and more approachable for everyone else.
General
Flexible analysis for mixed-source investigations and broad open-ended research.
Security
Exposure, escalation, threat signals, and fast triage for risk-focused work.
Market Intel
Interpretation, conviction, and reaction mapping for market-sensitive topics.
Public Affairs
Stakeholders, policy momentum, and the shape of the conversation around a topic.
Reputation
Track narrative pressure, amplification, and trust drag before it becomes a crisis.
Due Diligence
Materiality, residual risk, and evidence-first decision support for review work.
Competitive Intel
Field shifts, strategic moves, and timing edge across a changing market landscape.
Reusable Templates
Save the setup you like and apply it again when a similar case comes back around.
Technical spec
Built like a product you can ship, maintain, and trust.
The architecture is intentionally simple where it should be simple, and explicit where the app needs flexibility. That is what keeps ReactionLab credible for external communication and practical for daily use.
How it is built
- Native SwiftUI macOS shell for the interface and workspace navigation
- Local FastAPI backend for ingestion, scoring, simulation, and exports
- SQLite persistence for projects, runs, connectors, rules, and reports
- macOS Keychain for supported credentials instead of plaintext storage
- Bundled Python runtime for packaged app distribution
How it behaves
- Starts a local backend automatically when needed
- Supports cloud and local runtime routing
- Processes feeds and imports on the user’s machine
- Can enrich monitored items with local PyABSA sentiment
- Exports in Markdown, JSON, or PDF for downstream use
Request access
If you work with signals, narratives, or uncertainty, this is built for you.
ReactionLab is meant to make people feel the difference between raw information and a clear scenario. If you want a copy, want to discuss the product, or need help with deployment and packaging, reach out to the HighRoad Software team.